&EPA
United States
Environmental Protection
Agency
Economic Analysis for the
Proposed Section 316(b) Rule
for Phase III Facilities
November 2004
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U.S. Environmental Protection Agency
Office of Water (4303T)
1200 Pennsylvania Avenue, NW
Washington, DC 20460
EPA-821-R-04-016
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ACKNOWLEDGMENTS AND DISCLAIMER
This document was prepared by the Office of Water staff. The following contractors provided assistance and
support in performing the underlying analysis supporting the conclusions detailed in this document.
Abt Associates Inc. (Parts A, B, D, and E)
Eastern Research Group, Inc. (Part C)
and
ICF Consulting
Science Applications International Corporation
Stratus Consulting Inc.
Tetra Tech, Inc.
The Office of Water has reviewed and approved this document for publication. The Office of Science and
Technology directed, managed, and reviewed the work of the contractors in preparing this document. Neither the
United States Government nor any of its employees, contractors, subcontractors, or their employees makes any
warranty, expressed or implied, or assumes any legal liability or responsibility for any third party's use of or the
results of such use of any information, apparatus, product, or process discussed in this document, or represents
that its use by such party would not infringe on privately owned rights.
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Section 316(b) Proposed Rule: Phase III - Economic Analysis Table of Contents
Table of Contents
INTRODUCTION
PART A: BACKGROUND INFORMATION
Chapter Al: Introduction
Al-1 Overview of Potentially Regulated Sectors and Facilities Al-1
Al-1.1 Phase III Sector Information Al-2
Al-1.2 Phase III Facility Information Al-5
Al-2 Summary of the Proposed Rule and Other Evaluated Options Al-7
Al-3 Summary of Economic Analysis Results Al-11
Al-4 Organization of the EA Report Al-19
References Al-22
Chapter A2: Need for the Regulation
A2-1 Description of Environmental Impacts from CWIS A2-1
A2-2 Low Levels of Protection at Phase III Facilities A2-2
A2-2.1 Potential Phase III Existing Facilities A2-2
A2-2.2 Phase III New Facilities A2-4
A2-3 Reducing Adverse Environmental Impacts A2-5
A2-4 Addressing Market Imperfections A2-5
A2-5 Reducing Differences Between the States A2-6
A2-6 Reducing Transaction Costs A2-7
References A2-9
PART B: ECONOMIC ANALYSIS FOR PHASE III EXISTING FACILITIES
Chapter Bl: Summary of Cost Categories and Key Analysis Elements
Bl-1 Cost Categories Bl-1
Bl-1.1 Cost of Installing and Operating Compliance Technology Bl-1
Bl-1.2 Net Income Loss from Installation Downtime Bl-2
Bl-1.3 Administrative Costs for Complying Facilities Bl-3
Bl-1.4 Administrative Costs for Permitting Authorities and the Federal Government Bl-8
Bl-2 Key Elements of the Economic Analysis for Phase III Existing Facilities Bl-9
Bl-2.1 Compliance Schedule Bl-9
Bl-2.2 Adjusting Monetary Values to a Common Time Period of Analysis Bl-10
Bl-2.3 Discounting and Annualization - Costs to Society or Societal Costs Bl-11
Bl-2.4 Discounting and Annualization - Costs to Complying Facilities Bl-13
References Bl-16
Chapter B2: Profile of Manufacturers
Introduction B2-1
B2A Paper and Allied Products (SIC 26) B2A-1
B2A-1 Summary Insights from this Profile B2A-3
B2A-2 Domestic Production B2A-4
B2A-2.1 Output B2A-4
B2A-2.2 Prices B2A-8
B2A-2.3 Number of Facilities and Firms B2A-8
B2A-2.4 Employment and Productivity B2A-10
B2A-2.5 Capital Expenditures B2A-12
B2A-2.6 Capacity Utilization B2A-13
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Section 316(b) Proposed Rule: Phase III - Economic Analysis Table of Contents
B2A-3 Structure and Competitiveness B2A-14
B2A-3.1 Geographic Distribution B2A-15
B2A-3.2 Facility Size B2A-16
B2A-3.3 Firm Size B2A-18
B2A-3.4 Concentration Ratios B2A-18
B2A-3.5 Foreign Trade B2A-20
B2A-4 Financial Condition and Performance B2A-23
B2A-5 Facilities Operating Cooling Water Intake Structures B2A-24
B2A-5.1 Waterbody and Cooling System Type B2A-25
B2A-5.2 Facility Size B2A-26
B2A-5.3 Firm Size B2A-27
References B2A-29
B2B Chemicals and Allied Products (SIC 28) B2B-1
B2B-1 Summary Insights from this Profile B2B-5
B2B-2 Domestic Production B2B-5
B2B-2.1 Output B2B-6
B2B-2.2 Prices B2B-9
B2B-2.3 Number of Facilities and Firms B2B-10
B2B-2.4 Employment and Productivity B2B-12
B2B-2.5 Capital Expenditures B2B-14
B2B-2.6 Capacity Utilization B2B-16
B2B-3 Structure and Competitiveness B2B-19
B2B-3.1 Geographic Distribution B2B-19
B2B-3.2 Facility Size B2B-20
B2B-3.3 Firm Size B2B-21
B2B-3.4 Concentration Ratios B2B-22
B2B-3.5 Foreign Trade B2B-24
B2B-4 Financial Condition and Performance B2B-29
B2B-5 Facilities Operating Cooling Water Intake Structures B2B-31
B2B-5.1 Waterbody and Cooling System Type B2B-32
B2B-5.2 Facility Size B2B-33
B2B-5.3 Firm Size B2B-34
References B2B-36
B2C Petroleum Refining (SIC 2911) B2C-1
B2C-1 Summary Insights from this Profile B2C-2
B2C-2 Domestic Production B2C-3
B2C-2.1 Output B2C-3
B2C-2.2 Prices B2C-7
B2C-2.3 Number of Facilities and Firms B2C-7
B2C-2.4 Employment and Productivity B2C-10
B2C-2.5 Capital Expenditures B2C-11
B2C-2.6 Capacity Utilization B2C-14
B2C-3 Structure and Competitiveness B2C-15
B2C-3.1 Geographic Distribution B2C-15
B2C-3.2 Facility Size B2C-17
B2C-3.3 Firm Size B2C-18
B2C-3.4 Concentration Ratios B2C-18
B2C-3.5 Foreign Trade B2C-19
B2C-4 Financial Condition and Performance B2C-22
B2C-5 Facilities Operating Cooling Water Intake Structures B2C-23
B2C-5.1 Waterbody and Cooling System Type B2C-24
B2C-5.2 Facility Size B2C-25
B2C-5.3 Firm Size B2C-26
References B2C-27'
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Section 316(b) Proposed Rule: Phase III - Economic Analysis Table of Contents
B2D Steel (SIC 331) B2D-1
B2D-1 Summary Insights from this Profile B2D-3
B2D-2 Domestic Production B2D-4
B2D-2.1 Output B2D-5
B2D-2.2 Prices B2D-9
B2D-2.3 Number of Facilities and Firms B2D-9
B2D-2.4 Employment and Productivity B2D-11
B2D-2.5 Capital Expenditures B2D-14
B2D-2.6 Capacity Utilization B2D-15
B2D-3 Structure and Competitiveness B2D-16
B2D-3.1 Geographic Distribution B2D-17
B2D-3.2 Facility Size B2D-18
B2D-3.3 Firm Size B2D-20
B2D-3.4 Concentration Ratios B2D-20
B2D-3.5 Foreign Trade B2D-22
B2D-4 Financial Condition and Performance B2D-24
B2D-5 Facilities Operating Cooling Water Intake Structures B2D-25
B2D-5.1 Waterbody and Cooling System Type B2D-26
B2D-5.2 Facility Size B2D-27
B2D-5.3 Firm Size B2D-28
References B2D-29
B2E Aluminum (SIC 333/5) B2E-1
B2E-1 Summary Insights from this Profile B2E-2
B2E-2 Domestic Production B2E-3
B2E-2.1 Output B2E-4
B2E-2.2 Prices B2E-7
B2E-2.3 Number of Facilities and Firms B2E-8
B2E-2.4 Employment and Productivity B2E-12
B2E-2.5 Capital Expenditures B2E-14
B2E-2.6 Capacity Utilization B2E-16
B2E-3 Structure and Competitiveness B2E-17
B2E-3.1 Geographic Distribution B2E-17
B2E-3.2 Facility Size B2E-18
B2E-3.3 Firm Size B2E-20
B2E-3.4 Concentration Ratios B2E-20
B2E-3.5 Foreign Trade B2E-21
B2E-4 Financial Condition and Performance B2E-24
B2E-5 Facilities Operating Cooling Water Intake Structures B2E-26
B2E-5.1 Waterbody and Cooling System Type B2E-27
B2E-5.2 Facility Size B2E-28
B2E-5.3 Firm Size B2E-29
References B2E-30
B2F Facilities in Other Industries (Various SICs) B2F-1
B2F-1 Facilities Operating Cooling Water Intake Structures B2F-2
B2F-1.1 Waterbody and Cooling System Types B2F-3
B2F-1.2 Facility Size B2F-3
B2F-1.3 Firm Size B2F-4
References B2F-5
Glossary B2Glos-l
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Section 316(b) Proposed Rule: Phase III - Economic Analysis Table of Contents
Chapter B3: Economic Impact Analysis for Manufacturers
B3-1 Data Sources B3-3
B3-2 Methodology B3-3
B3-2.1 Market-level Impacts B3-5
B3-2.2 Impact Measures B3-5
B3-3 Results B3-15
B3-3.1 Baseline Closures B3-15
B3-3.2 Number of Facilities with Regulatory Requirements B3-16
B3-3.3 Post-Compliance Impacts B3-17
B3-3.4 Compliance Costs B3-17
B3-3.5 Summary of Facility Impacts B3-18
B3-3.6 Firm Impacts B3-19
Glossary B3-21
Abbreviations B3-22
References B3-23
Appendix 1 to Chapter B3: Summary of Results for Alternative Options B3A1-1
B3A1-1 Number of Facilities with Regulatory Requirements B3A1-1
B3A1-2 Post-Compliance Closures B3A1-2
B3A1-3 Moderate Impacts B3A1-2
B3A1-4 After-Tax Compliance Costs B3A1-3
B3A1-5 Overview of Impacts B3A1-4
B3A1-6 Firm Impacts B3A1-5
Appendix 2 to Chapter B3: Calculation of Installation Downtime Cost B3A2-1
B3A2-1 Estimated Shut-Down Period for Installing Compliance Equipment B3A2-1
B3A2-2 Calculating the Impact of Installation Downtime on Complying Facilities B3A2-2
B3A2-3 Calculating the Cost to Society of Installation Downtime B3A2-4
Appendix 3 to Chapter B3: Cost Pass-Through Analysis B3A3-1
B3A3-1 The Choice of Firm-Specific versus Sector-Specific CPT Coefficients B3A3-1
B3A3-2 Market Structure Analysis B3A3-3
B3A3-2.1 Industry Concentration B3A3-4
B3A3-2.2 Import Competition B3A3-6
B3A3-2.3 Export Competition B3A3-7
B3A3-2.4 Long-Term Industry Growth B3A3-8
B3A3-2.5 Conclusions B3A3-9
References B3A3-11
Appendix 4 to Chapter B3: Adjusting Baseline Facility Cash Flow B3A4-1
B3A4-1 Background: Review of Overall Business Conditions B3A4-2
B3A4-2 Framing and Executing the Analysis B3A4-4
B3A4-2.1 Identifying the Financial Data Concept to Be Analyzed B3A4-4
B3A4-2.2 Selecting Appropriate Data B3A4-5
B3A4-2.3 Selecting Industry Groups and Firms for Use in the Analysis B3A4-7
B3A4-2.4 Structuring the Analysis B3A4-9
B3A4-3 Summary of Findings B3A4-10
B3A4-4 Developing an Adjustment Concept B3A4-14
References B3A4-18
Appendix 5 to Chapter B3: Estimating Capital Outlays for Section 316(b) Phase III Manufacturing Sectors
Discounted Cash Flow Analyses B3A5-1
B3A5-1 Analytic Concepts Underlying Analysis of Capital Outlays B3A5-2
B3A5-2 Specifying Variables for the Analysis B3A5-4
B3A5-3 Selecting the Regression Analysis Dataset B3A5-7
B3A5-4 Specification of Models to be Tested B3A5-9
B3A5-5 Model Validation B3A5-12
Attachment B3A5.A: Bibliography of Literature Reviewed for this Analysis B3A5-17
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Section 316(b) Proposed Rule: Phase III - Economic Analysis Table of Contents
Attachment B3A5.B: Historical Variables Contained in the Value Line Investment Survey Dataset B3A5-18
Appendix 6 to Chapter B3: Summary of Moderate Impact Threshold Values by Industry B3A6-1
B3A6-1 Developing Threshold Values for Pre-Tax Return on Assets B3A6-2
B3A6-2 Developing Threshold Values for Interest Coverage Ratio B3A6-2
B3A6-3 Summary of Results B3A6-4
References B3A6-5
Appendix 7 to Chapter B3: Analysis of Baseline Closure Rates B3A7-1
B3A7-1 Annual Establishment Closures B3A7-1
References B3A7-2
Chapter B4: Profile of the Electric Power Industry
B4-1 Industry Overview B4-2
B4-1.1 Industry Sectors B4-2
B4-1.2 Prime Movers B4-2
B4-1.3 Ownership B4-5
B4-2 Domestic Production B4-8
B4-2.1 Generating Capacity B4-8
B4-2.2 Electricity Generation B4-9
B4-2.3 Geographic Distribution B4-10
B4-3 Power Plants Potentially Subject to Phase III Regulation B4-13
B4-3.1 Ownership Type B4-14
B4-3.2 Ownership Size B4-15
B4-3.3 Plant Size B4-17
B4-3.4 Geographic Distribution B4-18
B4-3.5 Cooling Water Characteristics B4-19
B4-4 Industry Outlook B4-21
B4-4.1 Current Status of Industry Deregulation B4-21
B4-4.2 Energy Market Model Forecasts B4-22
Glossary B4-24
References B4-27
Chapter B5: Economic Impact Analysis for Electric Generators
B5-1 Estimation of Private Compliance Costs B5-1
B5-1.1 Methodology B5-1
B5-1.2 Summary Cost Statistics B5-4
B5-2 Summary of Electricity Market Model Analysis B5-7
B5-3 Additional Impact Analyses B5-7
B5-3.1 Cost-to-Revenue Analysis B5-8
B5-3.2 Cost per Household Analysis B5-9
B5-3.3 Electricity Price Analysis B5-11
B5-4 Uncertainties and Limitations B5-13
References B5-15
Appendix 1 to Chapter B5: Electricity Market Model Analysis B5A-1
B5A-1 Integrated Planning Model Overview B5A-2
B5A-1.1 Modeling Methodology B5A-2
B5A-1.2 Specifications for the Section 316(b) Analysis B5A-5
B5A-1.3 Model Inputs B5A-6
B5A-1.4 Model Outputs B5A-7
B5A-2 Economic Impact Analysis Methodology B5A-8
B5A-2.1 Market-level Impact Measures B5A-8
B5A-2.2 Facility-level Impact Measures (Potential Phase III Facilities Only) B5A-10
B5A-3 Analysis Results for Option 6 B5A-11
B5A-3.1 Market Analysis for 2013 B5A-12
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Section 316(b) Proposed Rule: Phase III - Economic Analysis Table of Contents
B5A-3.2 Analysis of Potential Phase III Facilities for 2013 B5A-18
B5A-4 Summary of IPM V.2.1.6 Updates B5A-24
B5A-5 Uncertainties and Limitations B5A-30
PART C: ECONOMIC ANALYSIS FOR PHASE III NEW OFFSHORE OIL AND GAS EXTRACTION
FACILITIES
Chapter Cl: Summary of Cost Categories and Key Analysis Elements for New Offshore Oil & Gas
Extraction Facilities
Cl-1 Cost Categories Cl-1
Cl-1.1 Cost of Installing and Operating Compliance Technology Cl-1
Cl-1.2 Administrative Costs for Complying Facilities Cl-3
Cl-2 Key Elements of the Economic Analysis for New Offshore Oil and Gas Extraction Facilities Cl-7
Cl-2.1 Compliance Schedule Cl-7
Cl-2.2 Adjusting Monetary Values to a Common Time Period of Analysis Cl-8
Cl-2.3 Discounting and Annualization - Costs to Society or Societal Costs Cl-9
Cl-2.4 Discounting and Annualization - Costs to Complying Facilities Cl-11
References Cl-13
Chapter C2: Profile of the Offshore and Oil and Gas Extraction Industry
C2-1 Mobile Offshore Drilling Units (MODUs) C2-2
C2-1.1 Overview C2-2
C2-1.2 Existing MODUs and Their Associated Firms C2-3
C2-1.3 Existing MODUs with Intake Rates Meeting Proposed Rule Criteria C2-9
C2-2 Oil and Gas Production Platforms C2-10
C2-2.1 Overview C2-10
C2-2.2 Existing Platforms and Their Associated Firms C2-11
C2-2.3 Existing Platforms with Intake Rates Meeting Proposed Rule Criteria C2-25
C2-3 Total New Oil and Gas Operations C2-30
References C2-31
Chapter C3: Economic Impact Analysis for the Offshore and Oil and Gas Extraction Industry
C3-1 MODU Analyses C3-2
C3-1.1 Aggregate National After-tax Compliance Cost Analysis C3-2
C3-1.2 Vessel-Level Compliance Costs C3-3
C3-1.3 Impact Analysis C3-5
C3-2 Economic Impact Analysis for Oil and Gas Production Platforms C3-8
C3-2.1 Aggregate National After-tax Compliance Costs C3-9
C3-2.2 Platform-Level Compliance Costs C3-10
C3-2.3 Impact Analysis C3-12
C3-3 Total Costs and Impacts Among All Affected Oil and Gas Industry Entities C3-14
C3-4 Total Costs to Government Entities and Social Costs of the 316(b) Phase III Rulemaking C3-15
C3-4.1 Total Costs to Government Entities C3-15
C3-4.2 Total Social Costs C3-15
References C3-17
PART D: ADDITIONAL ECONOMIC ANALYSES FOR EXISTING AND NEW FACILITIES
Chapter Dl: Regulatory Flexibility Analysis
Dl-1 Analysis of Manufacturers Dl-2
Dl-1.1 Small Entity Determination Dl-2
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Section 316(b) Proposed Rule: Phase III - Economic Analysis Table of Contents
Dl-1.2 Percentage of Small Entities Regulated Dl-7
Dl-1.3 Sales Test for Small Entities Dl-7
Dl-2 Analysis of Electric Generating Facilities Dl-7
Dl-2.1 Small Entity Determination Dl-8
Dl-2.2 Percentage of Small Entities Regulated Dl-10
Dl-2.3 Sales Test for Small Entities Dl-11
Dl-3 Analysis of New Offshore Oil and Gas Extraction Facilities Dl-12
Dl-3.1 Small Entity Determination Dl-12
Dl-3.2 Percentage of Small Entities Regulated Dl-14
Dl-3.3 Sales Test for Small Entities Dl-14
Dl-4 Summary of Regulatory Flexibility Analysis Dl-14
References Dl-16
Appendix 1 to Chapter Dl: Summary of Results for Alternative Options D1A1-1
Appendix 2 to Chapter Dl: Small Business Determinations Based on NAICS Codes D1A2-1
D1A2-1 Identifying NAICS Codes and Thresholds D1A2-1
D1A2-2 Differences in NAICS-Based and SIC-Based Size Thresholds D1A2-7
D1A2-3 Results D1A2-9
References D1A2-10
Chapter D2: UMRA Analysis
D2-1 Analysis of Impacts on Government Entities D2-2
D2-1.1 Compliance Costs for Government-Owned Facilities D2-2
D2-1.2 Administrative Costs for Existing Facilities D2-3
D2-1.3 Administrative Costs for New Offshore Oil and Gas Extraction Facilities D2-8
D2-1.4 Impacts on Small Governments D2-11
D2-2 Compliance Costs for the Private Sector D2-11
D2-3 Summary of UMRA Analysis D2-12
References D2-14
Appendix to Chapter D2 D2A-1
Chapter D3: Other Administrative Requirements
D3-1 E.G. 12866: Regulatory Planning and Review D3-1
D3-2 Paperwork Reduction Act of 1995 D3-1
D3-3 E.G. 13132: Federalism D3-2
D3-4 E.O. 13175: Consultation and Coordination with Indian Tribal Governments D3-4
D3-5 E.O. 13045: Protection of Children from Environmental Health Risks and Safety Risks D3-4
D3-6 E.O. 13211: Actions Concerning Regulations That Significantly Affect Energy Supply,
Distribution, or Use D3-5
D3-6.1 Existing Electric Generators D3-6
D3-6.2 New Offshore Oil and Gas Extraction Facilities D3-7
D3-7 National Technology Transfer and Advancement Act of 1995 D3-7
D3-8 E.O. 12898: Federal Actions to Address Environmental Justice in Minority Populations and
Low-Income Populations D3-7
D3-9 E.O. 13158: Marine Protected Areas D3-8
References D3-9
PART E: SOCIAL COSTS, BENEFITS, AND BENEFIT COST-ANALYSIS FOR EXISTING AND NEW
FACILITIES
Chapter El: Summary of Social Costs
El-1 Costs of Compliance by Regulated Industry Segments El-1
El-2 State and Federal Administrative Costs El-4
El-3 Total Social Cost El-4
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Section 316(b) Proposed Rule: Phase III - Economic Analysis Table of Contents
El-4 Limitations and Uncertainties El-12
Glossary El-13
References El-14
Appendix to Chapter El E1A-1
E1A-1 Costs of Compliance by Regulated Industry Segment E1A-1
E1A-2 State and Federal Administrative Costs E1A-2
E1A-3 Total Social Cost E1A-2
Chapter E2: Summary of Benefits
E2-1 Calculating Losses and Benefits E2-1
E2-2 Summary of Baseline Losses and Expected Reductions in I&E E2-2
E2-3 Time Profile of Benefits E2-4
E2-4 Total Annualized Monetary Value of Losses and Benefits E2-10
References E2-15
Appendix to Chapter E2 E2A-1
E2A-1 Summary of Expected Reductions in I&E E2A-1
E2A-2 Time Profile of Benefits E2A-3
E2A-2 Total Annualized Monetary Value of Benefits E2A-9
Chapter E3: Comparison of Benefits and Social Costs
E3-1 Comparison of Benefits and Social Costs by Option E3-2
E3-2 Incremental Analysis of Benefits and Social Costs E3-7
E3-3 Break-Even Analysis of Potential Non-Use Benefits E3-8
Glossary E3-12
References E3-13
Appendix to Chapter E3 E3A-1
E3A-1 Comparison of Benefits and Social Costs by Option E3A-1
E3A-2 Incremental Analysis of Benefits and Social Costs E3A-7
E3 A-3 Break-Even Analysis of Potential Non-Use Benefits E3 A-7
LIST OF TABLES AND FIGURES
Chapter Al: Introduction
Table Al-1: Cooling Water Intake by Sector Al-2
Table Al-2: Estimated Cooling Water Intake by Sector (Sample Weighted) - EPA Survey Al-4
Table Al-3: Summary Economic Data for Major Industry Sectors Subject to §316(b) Regulation:
Facilities, Employment, Estimated Revenue, and Payroll in Millions of 2003 Dollars A1-5
Table Al-4: Number of Potential Phase III Facilities and Design Cooling Water Intake by Industry
Segment Al-6
Table A1-5: Performance Standards for the Evaluated Options for Existing Facilities A1-9
Table Al-6: Phase III Existing Facility Counts, by Industry Segment and Option Al-11
Table A1-7: Summary of Small Entity Impact Ratio Ranges by Industry Segment Al-13
Table Al-8: Summary of UMRA Costs Al-14
Table Al-9: Social Cost for Existing Facilities Al-15
Table Al-10: Social Cost for New Facilities Al-16
Table Al-11: Total Social Cost for Existing and New Facilities Al-17
Table Al-12: Summary of Benefits and Social Costs for Existing Facilities Al-18
Chapter A2: Need for the Regulation
Table A2-1: Estimated Number of Manufacturers and Electric Generators by CWS Technology/
Configuration and DIP Category A2-3
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Section 316(b) Proposed Rule: Phase III' — Economic Analysis
Table of Contents
Table A2-2: Estimated Number of Facilities and Share of Intake Flow by Source of Waterbody Type .. A2-4
Table A2-3: Selected NPDES State Statutory/Regulatory Provisions Addressing Impacts from
Cooling Water Intake Structures A2-6
Chapter Bl: Summary of Cost Categories and Key Analysis Elements
Table Bl-1: Estimated Average Downtime for Technology Modules Bl-2
Table Bl-2: Cost of Initial Post-Promulgation NPDES Permit Application Activities Bl-5
Table Bl-3: Cost of NPDES Repermit Application Activities Bl-7
Table Bl-4: Cost of Annual Monitoring, Record Keeping, and Reporting Activities Bl-8
Table Bl-5: Construction Cost Index Bl-10
Table Bl-6: GDP Deflator Series Bl-11
Chapter B2A: Paper and Allied Products (SIC 26)
Table B2A-1: Section 316(b) Facilities in the Paper and Allied Products Industry (SIC 26) B2A-1
Table B2A-2: Relationship between SIC and NAICS Codes for the Paper and Allied Products
Industry (1997) B2A-3
Figure B2A-1: Value of Shipments and Value Added for Profiled Paper and Allied Products Segments . . B2A-6
Table B2A-3: U.S. Pulp and Paper Industry Industrial Production Index B2A-7
Figure B2A-2: Producer Price Indexes for Profiled Paper and Allied Products Segments B2A-8
Table B2A-4: Number of Facilities Owned by Firms in the Profiled Paper and Allied Products
Segments B2A-9
Table B2A-5: Number of Firms in the Profiled Paper and Allied Products Segments B2A-10
Figure B2A-3: Employment for Profiled Paper and Allied Products Segments B2A-11
Table B2A-6: Productivity Trends for Profiled Paper and Allied Products Segments B2A-12
Table B2A-7: Capital Expenditures for Profiled Paper and Allied Products Segments B2A-13
Figure B2A-4: Capacity Utilization Rate (Fourth Quarter) for Pulp and Paper Industry B2A-14
Figure B2A-5: Number of Facilities in Profiled Paper and Allied Products Segments by State B2A-16
Figure B2A-6: Number of Facilities and Value of Shipments in 1992 by Employment Size Category for
Profiled Paper and Allied Products Segments B2A-17
Table B2A-8: Number of Firms and Facilities by Firm Size Category for Profiled Paper and Allied
Products Segments, 2001 B2A-18
Table B2A-9: Selected Ratios for Profiled Paper and Allied Products Segments, 1987 and 1992 B2A-19
Table B2A-10: Trade Statistics for Profiled Paper and Allied Products Segments B2A-21
Figure B2A-7: Value of Imports and Exports for Profiled Paper and Allied Products Segments B2A-22
Figure B2A-8: Net Profit Margin and Return on Capital for Pulp and Paper Mills B2A-24
Table B2A-12: Number of Section 316(b) Facilities by Water Body Type and Cooling System for
Profiled Paper and Allied Products Segments B2A-26
Figure B2A-9: Number of Section 316(b) Facilities by Employment Size for Profiled Paper and Allied
Products Segments B2A-27
Table B2A-12: Number of Section 316(b) Facilities in Profiled Paper and Allied Products Segments by
Firm Size B2A-28
Chapter B2B: Chemicals and Allied Products (SIC 28)
Table B2B-1: Section 316(b) Facilities in the Chemicals and Allied Products Industry (SIC 28) B2B-1
Table B2B-2: Relationship between SIC and NAICS Codes for the Chemicals and Allied
Products Industry (1997) B2B-4
Figure B2B-1: Value of Shipments and Value Added for Profiled Chemical Segments B2B-7
Table B2B-3: Chemicals Industry Industrial Production Index B2B-8
Figure B2B-2: Producer Price Indexes for Profiled Chemical Segments B2B-10
Table B2B-4: Number of Facilities for Profiled Chemical Segments B2B-11
Table B2B-5: Number of Firms for Profiled Chemical Segments B2B-12
Figure B2B-3: Employment for Profiled Chemical Segments B2B-13
Table B2B-6: Productivity Trends for Profiled Chemical Segments B2B-14
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Section 316(b) Proposed Rule: Phase III' — Economic Analysis
Table of Contents
Table B2B-7: Capital Expenditures for Profiled Chemical Segments B2B-16
Figure B2B-4: Capacity Utilization Rates (Fourth Quarter) for Profiled Chemical Segments B2B-18
Figure B2B-5: Number of Chemical Facilities by State for Profiled Chemical Segments B2B-20
Figure B2B-6: Number of Facilities and Value Added by Employment Size Category in 1992 for Profiled
Chemical Segments B2B-21
Table B2B-8: Number of Firms, Facilities and Estimated Receipts by Firm Size Category for Profiled
Chemical Segments (2001) B2B-22
Table B2B-9: Selected Ratios for Four-Digit SIC Codes for Profiled Chemical Segments, 1987 and
1992 B2B-24
Table B2B-10: Trade Statistics for Profiled Chemical Segments B2B-26
Figure B2B-7: Value of Imports and Exports for Profiled Chemical Segments B2B-28
Figure B2B-8: Net Profit Margin and Return in Total Capital for the Chemical Industry B2B-31
Table B2B-11: Number of Section 316(b) Facilities by Water Body and Cooling System Type for Profiled
Chemical Segments B2B-33
Figure B2B-9: Number of Section 316(b) Facilities by Employment Size Category for Profiled Chemical
Segments B2B-34
Table B2B-12: Number of Section 316(b) Facilities by Firm Size for Profiled Chemical Segments .... B2B-35
Chapter B2C: Petroleum Refining (SIC 2911)
Table B2C-1: Section 316(b) Facilities in the Petroleum and Coal Products Industry (SIC 29) B2C-1
Table B2C-2: Relationship between SIC and NAICS Codes for the Petroleum and Coal Products
Industry (1997) B2C-2
Table B2C-3: U.S. Petroleum Refinery Product Production B2C-4
Figure B2C-1: Value of Shipments and Value Added for Petroleum Refineries B2C-6
Figure B2C-2: Producer Price Index for Petroleum Refineries B2C-7
Figure B2C-3: Trends in Numbers of Refineries and Refining Capacity 1949-2003 B2C-8
Table B2C-4: Number of Firms and Facilities for Petroleum Refineries B2C-9
Figure B2C-4: Employment for Petroleum Refineries B2C-10
Table B2C-5: Productivity Trends for Petroleum Refineries B2C-11
Table B2C-6: Capital Expenditures for Petroleum Refineries B2C-12
Figure B2C-5: Environmental Expenditures by Type and Medium for Petroleum Refineries B2C-13
Figure B2C-6: Capacity Utilization Rates (Fourth Quarter) for Petroleum Refineries B2C-14
Figure B2C-7: Geographic Distribution of Petroleum Refineries B2C-16
Figure B2C-8: Value of Shipments and Number of Facilities in 1992a for Petroleum Refineries by
Employment Size Category B2C-17
Table B2C-7: Number of Firms, Establishments, and Estimated Receipts for Petroleum Refineries by
Firm Employment Size Category (2001) B2C-18
Table B2C-8: Selected Ratios for Petroleum Refineries B2C-19
Table B2C-9: Foreign Trade Statistics for Petroleum Refining B2C-20
Figure B2C-9: Value of Imports and Exports for Petroleum Refining B2C-21
Figure B2C-10: Net Profit Margin and Return on Total Capital for Petroleum Refining B2C-23
Table B2C-10: Number of Section 316(b) Petroleum Refining Facilities by Water Body Type
and Cooling System Type B2C-25
Figure B2C-11: Number of Section 316(b) Petroleum Refineries by Employment Size Category B2C-25
Table B2C-11: Number of Section 316(b) Petroleum Refineries by Firm Size B2C-26
Chapter B2D: Steel (SIC 331)
Table B2D-1: Section 316(b) Facilities in the Steel Industry (SIC 331) B2D-1
Table B2D-2: Relationships between SIC and NAICS Codes for the Steel Industries (1997) B2D-3
Table B2D-3: U.S. Steel Production by Type of Producer B2D-6
Figure B2D-1: Value of Shipments and Value Added for Profiled Steel Industry Segments B2D-8
Figure B2D-2: Producer Price Index for Profiled Steel Industry Segments B2D-9
Table B2D-4: Number of Facilities in the Profiled Steel Industry Segments B2D-10
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Section 316(b) Proposed Rule: Phase III' — Economic Analysis
Table of Contents
Table B2D-5: Number of Firms in the Profiled Steel Industry Segments B2D-11
Figure B2D-3: Employment for Profiled Steel Industry Segments B2D-12
Table B2D-6: Productivity Trends for the Profiled Steel Industry Segments B2D-13
Table B2D-7: Capital Expenditures for the Profiled Steel Industry Segments B2D-15
Figure B2D-4: Capacity Utilization Rates (Fourth Quarter) for Profiled Steel Industry Segments B2D-16
Figure B2D-5: Geographical Distribution of Facilities in the Profiled Steel Industry Segments B2D-17
Figure B2D-6: Number of Facilities and Value of Shipments in 1992 by Employment Size Category
for the Profiled Steel Industry Segments B2D-19
Table B2D-8: Number of Firms, Facilities, and Estimated Receipts in the Profiled Steel Industry
Segments by Employment Size Category, 2001 B2D-20
Table B2D-9: Selected Ratios for the Profiled Steel Industry Segments B2D-21
Table B2D-10: Import Penetration and Export Dependence: Steel Mill Products B2D-23
Figure B2D-7: Net Profit Margin and Return on Total Capital for the Iron and Steel Industry B2D-25
Table B2D-11: Number of Section 316(b) Facilities in the Profiled Steel Industry Segments by
Water Body Type and Cooling System Type B2D-26
Figure B2D-8: Number of Section 316(b) Facilities in the Profiled Steel Industry Segments by
Employment Size B2D-27
Table B2D-12: Number of Section 316(b) Facilities by Firm Size for the Profiled Steel Segments B2D-28
Chapter B2E: Aluminum (SIC 333/5)
Table B2E-1: Section 316(b) Facilities in the Aluminum Industries (SIC 333/335) B2E-1
Table B2E-2: Relationships between SIC and NAICS Codes for the Aluminum Industries (1997) B2E-2
Table B2E-3: U.S. Quantities of Aluminum Produced B2E-5
Figure B2E-1: Value of Shipments and Value Added for Profiled Aluminum Segments B2E-6
Figure B2E-2: Producer Price Indexes for Profiled Aluminum Segments B2E-8
Table B2E-4: Primary Aluminum Production - Number of Companies and Plants B2E-9
Table B2E-5: Number of Facilities for Profiled Aluminum Segments B2E-10
Table B2E-6: Number of Firms for Profiled Aluminum Segments B2E-11
Figure B2E-3: Employment for Profiled Aluminum Segments B2E-12
Table B2E-7: Productivity Trends for Profiled Aluminum Segments B2E-13
Table B2E-8: Capital Expenditures for Profiled Aluminum Segments B2E-15
Figure B2E-4: Capacity Utilization Rates (Fourth Quarter) for Profiled Aluminum Segments B2E-17
Figure B2E-5: Number of Facilities by State for Aluminum Segments (SIC 3334 and 3353) B2E-18
Figure B2E-6: Number of Facilities and Value of Shipments in 1992 by Facility Employment Size
Category for Profiled Aluminum Segments B2E-19
Table B2E-9: Number of Firms and Facilities by Employment Size Category for the Profiled Aluminum
Segments, 2001 B2E-20
Table B2E-10: Selected Ratios for the Profiled Aluminum Segments B2E-21
Table B2E-11: Import Share and Export Dependence for the Profiled Aluminum Segments B2E-23
Table B2E-12: Trade Statistics for Aluminum and Semifabricated Aluminum Products B2E-24
Figure B2E-7: Net Profit Margin and Return on Total Capital for the Aluminum Industry B2E-26
Table B2E-13: Number of Section 316(b) Facilities by Water Body Type and Cooling System Type
for the Profiled Aluminum Segments B2E-27
Figure B2E-8: Number of Section 316(b) Facilities by Employment Size for the Profiled Aluminum
Segments B2E-28
Table B2E-14: Number of Section 316(b) Facilities by Firm Size for the Profiled Aluminum Segments . B2E-29
Chapter B2F: Facilities in Other Industries (Various SICs)
Table B2F-1: Facility Observations in Other Industries by 2-digit SIC code B2F-2
Table B2F-2: Number of Sampled Facilities by Water Body and Cooling System Type for Facilities in
Other Industries B2F-3
Figure B2F-1: Number of Sampled Facilities in Other Industries by Employment Size B2F-4
Table B2F-3: Number of Sampled Section 316(b) Facilities in Other Industries by Firm Size B2F-4
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Section 316(b) Proposed Rule: Phase III - Economic Analysis Table of Contents
Chapter B3: Economic Impact Analysis for Manufacturers
Table B3-1: Summary of Baseline Closures by Sector B3-16
Table B3-2: Number of Facilities with Regulatory Requirements by Sector and Option B3-16
Table B3-3: Total Annualized Facility Compliance Cost by Sector and Regulatory Option B3-17
Table B3-4: Regulatory Impacts for All Facilities by Option, National Estimates B3-18
Table B3-5: Firm-Level After-Tax Annual Compliance Costs as a Percentage of Annual Revenue .... B3-19
Appendix 1 to Chapter B3: Summary of Results for Alternative Options
Table B3A1.1: Number of Facilities with Regulatory Requirements by Sector and Option B3A1-1
Table B3A1.2: Number of Facilities Estimated as Post-Compliance Closures by Sector and Option .... B3A1-2
Table B3A1.3: Number of Facilities Estimated as Moderate Impacts by Sector and Option B3A1-2
Table B3A1.4: Total Annualized Facility After-Tax Compliance Cost by Sector and Option B3A1-3
Table B3A1.5: Regulatory Impacts for All Facilities by Option, National Estimates B3A1-4
Table B3A1.6: Firm-level After-Tax Annual Compliance Costs as a Percentage of Annual Revenue . . . B3A1-5
Appendix 2 to Chapter B3: Calculation of Installation Downtime Cost
Table B3A2.1 Estimated Average Cooling Water System Downtime by Technology Module B3A2-2
Appendix 3 to Chapter B3: Cost Pass-Through Analysis
Table B3 A3.1: Proportion of Value of Shipments Potentially Subj ect to Compliance-Related Costs
Associated with the Phase III Regulation (1998) B3A3-3
Table B3A3.2: Herfmdahl-Hirschman Index for Four-Digit SIC B3A3-5
Table B3A3.3: Herfmdahl-Hirschman Index by Industry B3A3-6
Table B3A3.4: Import Penetration by Industry B3A3-7
Table B3A3.5: Export Dependence by Industry B3A3-8
Table B3A3.6: Average Annual Growth Rates by Industry B3A3-9
Appendix 4 to Chapter B3: Adjusting Baseline Facility Cash Flow
Figure B3A4.1: Growth in Real Domestic Product, 1985-2003 B3A4-3
Figure B3A4.2: Capacity Utilization in Manufacturing Industries, 1985-2003 B3A4-3
Figure B3A4.3: Growth in Industrial Production, 1985-2003 B3A4-4
Table B3A4.1: Value Line Industry Groups Selected for Analysis B3A4-8
Table B3A4.2: Key Results from Analysis of After-Tax Cash Flow Trends by 316(b) Industry for
1992-2003 B3A4-11
Figure B3A4-4: ATCF Index vs Trend B3A4-12
Table B3A4.3: Estimated Relationship Between Actual ATCF at Survey Period and Trend Predicted
Values at Survey Period and End of Analysis Period B3A4-14
Table B3A4.4: Using After-Tax Cash Flow Adjustment Factors in the Facility Closure Analysis B3A4-16
Appendix 5 to Chapter B3: Estimating Capital Outlays for Section 316(b) Phase III Manufacturing Sectors
Discounted Cash Flow Analyses
Table B3A5.1: Summary of Factors Influencing Capital Outlays B3A5-3
Table B3A5.2: Variables For Capital Expenditure Modeling Analysis B3A5-5
Table B3A5.3: Number of Firms by Industry Classifications B3A5-9
Table B3A5.4: Time Series, Cross-Sectional Model Results B3A5-12
Table B3A5.5: Estimation of Capital Outlays for Phase III Sample Facilities: Median Facilities Selected
by Revenue and ROA Percentiles B3A5-13
Figure B3A5.1: Comparison of Estimated Capital Outlays to Reported Depreciation for Phase III Survey
Facilities in the Paper and Allied Products Sector B3A5-15
Figure B3A5.2: Comparison of Estimated Capital Outlays to Reported Depreciation for Phase III Survey
Facilities in the Chemicals and Allied Products Sector B3A5-15
Figure B3A5.3: Comparison of Estimated Capital Outlays to Reported Depreciation for Phase III Survey
Facilities in the Petroleum and Coal Products Sector B3A5-16
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Section 316(b) Proposed Rule: Phase III' — Economic Analysis
Table of Contents
Figure B3A5.4: Comparison of Estimated Capital Outlays to Reported Depreciation for Phase III Survey
Facilities in the Primary Metal Industries Sector B3A5-16
Appendix 6 to Chapter B3: Summary of Moderate Impact Threshold Values by Industry
Table B3A6.1: Summary of Moderate Impact Thresholds by Industry based on 25th percentile value of
firms reporting data to RMA B3A6-4
Appendix 7 to Chapter B3: Analysis of Baseline Closure Rates
Table B3A7.1: Predicted Baseline Closures and Annual Percentage of Closures for Primary
Manufacturing Industries (1990-2001) B3A7-1
Chapter B4: Profile of the Electric Power Industry
Table B4-1: Number of Existing Utility and Nonutility Plants by Prime Mover in 2001 B4-5
Figure B4-1: Distribution of Facilities and Capacity by Ownership Type in 2001 B4-7
Figure B4-2: Net Summer Capacity, 1991 to 2001 (MW) B4-8
Table B4-2: Net Generation by Energy Source and Ownership Type, 1991 to 2001 B4-9
Figure B4-3: Percentage of Electricity Generation by Primary Fuel Source in 2001 B4-10
Figure B4-4: North American Electric Reliability Council (NERC) Regions B4-12
Table B4-3: Distribution of Existing Plants and Capacity by NERC Region in 2001 B4-13
Table B4-4: Utilities, Plants, and Capacity by Ownership Type in 2001 B4-15
Table B4-5: Existing Parent Entities by Ownership Type and Size in 2001 B4-16
Table B4-6: Potential Phase III Power Plants by Ownership Type and Size in 2001 B4-17
Figure B4-5: Number of Potential Phase III Electric Generators by Plant Size in 2001 B4-18
Table B4-7: Existing Plants by NERC Region in 2001 B4-19
Table B4-8: Number of Potential Phase III Electric Generators by Water Body Type and
Cooling System Type B4-20
Table B4-9: Number of Potential Phase III Electric Generators by Water Body Type and
Design Intake Flow Category B4-20
Chapter B5: Economic Impact Analysis for Electric Generators
Table B5-1: PPI Series for Industrial Electric Power B5-3
Table B5-2: Phase III Electric Generator Counts for Evaluated Options B5-4
Table B5-3: Weighted Number of Phase III Electric Generating Facilities by NERC Region
and Compliance Year B5-5
Table B5-4: Number of Electric Generators by Compliance Requirement B5-6
Table B5-5: Private Compliance Costs for Electric Generators by Cost B5-6
Table B5-6: Facility-Level Cost-to-Revenue Measure By Ownership Type B5-8
Table B5-7: Firm-Level Cost-to-Revenue Measure by Entity Type B5-9
Table B5-8: Annualized Pre-Tax Compliance Cost by NERC Region B5-10
Table B5-9: Annual Compliance Cost per Residential Consumer by NERC Region B5-11
Table B5-10: Compliance Cost per KWh of Sales by NERC Region B5-12
Table B5-11: Estimated Price Increase as a Percentage of 2007 Prices by Consumer Type and
NERC Region - Option 6 B5-13
Appendix 1 to Chapter B5: Electricity Market Model Analysis
Figure B5A-1: Regional Representation of U.S. Power System as Modeled in IPM B5A-3
Table B5A-1: Crosswalk between NERC Regions and IPM® Regions B5A-4
Table B5A-2: Model Run Year Mapping B5A-5
Table B5A-3: Modification of Model Run Years B5A-5
Table B5A-4: Market-Level Impacts of Option 6 (by NERC Region; 2013) B5A-12
Table B5A-5: Facility-Level Impacts of Option 6 (by NERC Region; 2013) B5A-19
Table B5A-6: Number of Potential Phase III Facilities with Operational Changes (2013) B5A-24
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Section 316(b) Proposed Rule: Phase III' — Economic Analysis
Table of Contents
Table B5AA-1 Summary Table of IPM® V.2.1.6 Updates B5A-25
Chapter Cl: Summary of Cost Categories and Key Analysis Elements for New Offshore Oil & Gas
Extraction Facilities
Table Cl-1: Technologies for Implementing 316(b) Requirements for New Oil and Gas Facilities . . .
Cost of Initial Post-Promulgation NPDES General Permit Application Activities
Cl-2
Cl-5
Table Cl-2
Table Cl-3: Cost of Subsequent NPDES General Permit Application Activities Cl-6
Table Cl-4: Cost of Monitoring Activities Cl-6
Table Cl-5: Construction Cost Index Cl-8
Table Cl-6: GDP Deflator Series Cl-9
Chapter C2: Profile of the Offshore Oil and Gas Extraction Industry
Table C2-1: Number of Existing MODUs and Parent Firms C2-4
Table C2-2: Owners of MODUs Currently Operating in GOM and Parent Company C2-5
Table C2-3: NAICS Classification of MODU Parent Companies C2-7
Table C2-4: Financial Condition of MODU Parent Companies (2002) C2-8
Table C2-5: GOM Platform Count C2-12
Table C2-6: Operators and Parent Companies of GOM Platforms C2-13
Table C2-7: Count of Firms by SIC and NAICS Code C2-17
Table C2-8: Financial Conditions Among GOM Firms C2-19
Table C2-9: Financial Information for Companies Operating Platforms in California Waters C2-24
Table C2-10: Financial Information for Companies Operating Platforms in Alaska C2-25
Table C2-11: Count of Platform Installations C2-28
Figure C2-1: Platform Installation by Year C2-29
Table C2-12 Number of Existing and Future Oil and Gas Facilities Estimated or Assumed To Meet
Proposed Rule Criteria over a 20-Year Analysis Time Frame C2-30
Chapter C3: Economic Impact Analysis for the Offshore Oil and Gas Extraction Industry
Table C3-1: Total Aggregate National After-tax Compliance Costs for MODUs C3-3
Table C3-2: Per-Vessel Annualized Pre-Tax Cost of Compliance C3-4
Table C3-3: Revenue Test for MODU Owners C3-8
Table C3-4: Total National Aggregate After-tax Compliance Costs for Platforms C3-10
Table C3-5: Per-Platform Annualized Pre-Tax Cost of Compliance C3-11
Table C3-6: Revenue Test for Platform Owners C3-14
Table C3-7: Total National Aggregate Annualized After-tax Compliance Costs and Impacts for the
Oil and Gas Industry C3-15
Table C3-8: Total Costs to Government Entities C3-15
Table C3-9: Total Social Costs of the Proposed Rulemaking for Oil and Gas Industries C3-16
Chapter Dl: Regulatory Flexibility Analysis
Table Dl-1: Unique 4-Digit Firm-Level SIC Codes and SB A Size Standards for Manufacturers Dl-3
Table Dl-2: Number of Firms by Firm Sector and Size Dl-6
Table Dl-3: Unique 4-Digit Firm-Level SIC Codes and SBA Size Standards for Electric Generators . . . Dl-9
Table Dl-4: Unique 4-Digit Firm-Level SIC Codes, NAICS Classification, and SBA Size Standards for
Mobile Offshore Drilling Units Dl-13
Table Dl-5: Summary of Small Entity Impact Ratio Ranges by Sector Dl-15
Appendix 1 to Chapter Dl: Summary of Results for Alternative Options
Table D1A1 -1: Summary of Small Entity Impact Ratio Ranges for Existing Facilities by Sector D1A1-1
Appendix 2 to Chapter Dl: Small Business Determinations Based on NAICS Codes
Table D1A2-1: Small Business Thresholds Based on SIC Codes and NAICS Codes D1A2-1
Table D1A2-2: NAICS Thresholds Exceed SIC Thresholds Additional Firms May Be Classified
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Section 316(b) Proposed Rule: Phase III' — Economic Analysis
Table of Contents
as Small D1A2-8
Table D1A2-3: NAICS thresholds Are Less than SIC Thresholds Fewer Firms May Be Classified
as Small D1A2-8
Chapter D2: UMRA Analysis
Table D2-1: Annualized Government Administrative Costs D2-3
Table D2-2: Government Costs of Start-Up Activities D2-4
Table D2-3: Government Permitting Costs D2-5
Table D2-4: Government Costs of Verification Study Review D2-6
Table D2-5: Government Costs of Alternative Regulatory Requirements D2-7
Table D2-6: Government Costs for Annual Activities D2-7
Table D2-7: Federal Government Permit Program Oversight Activities D2-8
Table D2-8: Federal Government Costs for Permit Issuance Activities D2-10
Table D2-9: Federal Government Costs for Annual Activities D2-11
Table D2-10: Summary of UMRA Costs D2-12
Appendix to Chapter D2
Table D2A-1: Summary of UMRA Costs for Other Evaluated Options D2A-1
Chapter El: Summary of Social Costs
Table El-1: Summary of Annualized Direct Costs by Regulated Industry Segments El-3
Table El-2: Summary of Annualized Government Costs El-4
Table El-3: Summary of Annualized Social Costs El-5
Table El-4: Time Profile of Compliance Costs for the 50 MGD for All Waterbodies Option for Existing
Facilities and the Proposed Option for New Facilities El-6
Table El-5: Time Profile of Compliance Costs for the 200 MGD for All Waterbodies Option for Existing
Facilities and the Proposed Option for New Facilities El-8
Table El-6: Time Profile of Compliance Costs for the 100 MGD for Certain Waterbodies Option for
Existing Facilities and the Proposed Option for New Facilities El-10
Appendix to Chapter El
Table E1A-1: Summary of Annualized Direct Costs by Regulated Industry Segments Existing Facilities E1A-1
Table E1A-2: Summary of Annualized Government Costs for Existing Facilities E1A-2
Table E1A-3: Summary of Annualized Social Costs for Existing Facilities E1A-2
Table E1A-4: Time Profile of Compliance Costs for Existing Facilities - Option 3 E1A-3
Table E1A-5: Time Profile of Compliance Costs for Existing Facilities - Option 4 E1A-4
Table E1A-6: Time Profile of Compliance Costs for Existing Facilities - Option 2 E1A-5
Table E1A-7: Time Profile of Compliance Costs for Existing Facilities - Option 1 E1A-6
Table E1A-8: Time Profile of Compliance Costs for Existing Facilities - Option 6 E1A-7
Chapter E2: Summary of Benefits
Table E2-1: Total Annual Baseline I&E Losses for Potential Phase III Existing Facilities by Region
Table E2-2: Expected Reduction in I&E for Phase III Existing Facilities by Option and Region
Table E2-3: Time Profile of Mean Monetary Value of Total Baseline I&E Losses
Table E2-4: Time Profile of Mean Total Use Benefits - 50 MGD All Option
Table E2-5: Time Profile of Mean Total Use Benefits - 200 MGD All Option
Table E2-6: Time Profile of Mean Total Use Benefits - 100 MGD CWB Option
Table E2-7: Summary of Monetary Values of Baseline I&E Losses
Table E2-8: Summary of Monetized Benefits by Option (discounted at 3%)
Table E2-9: Summary of Monetized Benefits by Option (discounted at 7%)
Table E2A-1: Expected Reductions in I&E for Existing Phase III Facilities by Option
Table E2A-2: Time Profile of Mean Total Use Benefits - Option 3
Table E2A-3: Time Profile of Mean Total Use Benefits - Option 4
. E2-2
. E2-4
. E2-6
. E2-7
. E2-8
. E2-9
E2-11
E2-13
E2-14
E2A-1
E2A-4
E2A-5
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Section 316(b) Proposed Rule: Phase III' — Economic Analysis
Table of Contents
Table E2A-4: Time Profile of Mean Total Use Benefits - Option 2 E2A-6
Table E2A-5: Time Profile of Mean Total Use Benefits - Option 1 E2A-7
Table E2A-6: Time Profile of Mean Total Use Benefits - Option 6 E2A-8
Table E2A-7: Summary of Monetized Benefits for Existing Phase III Facilities (discounted at 3%) .... E2A-9
Table E2A-8: Summary of Monetized Benefits for Existing Phase III Facilities (discounted at 7%) . . . E2A-11
Chapter E3: Comparison of Benefits and Social Costs
Table E3-1: Number of Existing Phase III Facilities by Compliance Action E3-1
Table E3-2: Total Benefits, Social Costs, and Net Benefits for Existing Phase III Facilities by
Regulatory Option E3-3
Table E3-3: Total Net Benefits for Existing Phase III Facilities by Regulatory Option and Region
(discounted at 3%) E3-4
Table E3-4: Total Net Benefits for Existing Phase III Facilities by Regulatory Option and Region
(discounted at 7%) E3-5
Table E3-5: Time Profile of Benefits and Costs for Existing Phase III Facilities E3-6
Table E3-6: Incremental Benefit-Cost Analysis for Existing Phase III Facilities E3-8
Table E3-7: Estimated Value of Non-Use Benefits Required for Total Benefits to Equal Total Social
Costs for Existing Phase III Facilities - Break-Even Analysis E3-9
Appendix to Chapter E3
Table E3A-1: Number of Existing Phase III Facilities by Compliance Action E3A-1
Table E3A-2: Total Benefits, Social Costs, and Net Benefits for Existing Phase III Facilities by Option E3A-2
Table E3A-3: Total Net Benefits for Existing Phase III Facilities by Option and Region
(discounted at 3%) E3A-3
Table E3A-4: Total Net Benefits for Existing Phase III Facilities by Option and Region
(discounted at 7%) E3A-4
Table E3A-5: Time Profile of Benefits and Costs for Existing Phase III Facilities for Options 3, 4, and 2 E3A-6
Table E3A-6: Time Profile of Benefits and Costs for Existing Phase III Facilities for Options 1 and 6 . . E3A-7
Table E3A-7: Incremental Benefit-Cost Analysis for Existing Phase III Facilities E3A-8
Table E3A-8: Estimated Value of Non-Use Benefits Required for Total Benefits to Equal Total Social
Cost for Existing Phase III Facilities - Break-Even Analysis E3A-9
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
Chapter Al: Introduction
INTRODUCTION „ „
CHAPTER CONTENTS
A1 -1 Overview of Potentially Regulated
Sectors and Facilities Al-1
Al-1.1 Phase III Sector Information Al-1
Al-1.2 Phase III Facility Information Al-5
A1-2 Summary of the Proposed Rule and Other
Evaluated Options Al-7
Al-3 Summary of Economic Analysis Results Al-11
A1-4 Organization of the EA Report Al-19
References Al-22
EPA is proposing regulations implementing section
316(b) of the Clean Water Act (CWA). This
regulation is the third in a series of rulemaking actions
under CWA section 316(b), addressing the
environmental impacts of cooling water intake
structures (CWIS). The Proposed Section 316(b) Rule
for Phase III Facilities would establish national
performance requirements for the location, design,
construction, and capacity of CWIS at facilities subject
to this regulation. The proposed national requirements
would establish the best technology available (BTA) to minimize the adverse environmental impact (AEI)
associated with the use of these structures. CWIS may cause AEI through several means, including impingement
(where fish and other aquatic life are trapped on equipment at the entrance to CWIS) and entrainment (where
aquatic organisms, eggs, and larvae are taken into the cooling system, passed through the heat exchanger, and
then discharged back into the source water body).
Al-1 OVERVIEW OF POTENTIALLY REGULATED SECTORS AND FACILITIES
Facilities potentially subject to regulation under Phase III consist of the following types of facilities that employ a
cooling water intake structure and are designed to withdraw two million gallons per day or more from waters of
the United States: (1) existing manufacturing facilities, (2) existing electric power producing facilities with a
design intake flow (DIP) of less than 50 million gallons per day (MOD), and (3) new offshore oil and gas
extraction facilities. These facilities are referred to as "potential Phase III facilities." Phase III would not include
facilities regulated under Phase I (new facilities other than new offshore oil and gas extraction) or Phase II
(existing power producing facilities with a DIP of 50 MOD or greater).
The remainder of this section describes the industry sectors and facilities potentially subject to Phase III
regulation that were analyzed for this rulemaking. Chapters B2: Profile of Manufacturers, B4: Profile of the
Electric Power Industry, and C2:Profile of the Offshore Oil and Gas Extraction Industry present more detailed
information on the facilities potentially subject to Phase III regulation and the markets in which they operate.
Under today's proposed rule, not all potential Phase III facilities would be subject to national categorical
requirements (only those that meet the requisite flow threshold and other applicable criteria of the proposed rule).
Potential Phase III facilities that are not subject to the national requirements would continue to be subject to
section 316(b) requirements established by permit writers on a case-by-case basis. EPA's analysis in this section
describes all potential Phase III facilities, not only those that would be subject to national requirements under
today's proposed rule.
Al-1.1 Phase III Sector Information
Based on past section 316(b) rulemakings, EPA's effluent guidelines program, and the 1982 Census of
Manufactures, EPA identified two major industry segments of existing facilities for analysis in developing this
regulation: (1) steam electric generators; and (2) manufacturing industries with substantial cooling water use.
Steam electric generators are the largest industrial users of cooling water. The condensers that support the steam
turbines in these facilities require substantial amounts of cooling water. EPA estimates that steam electric utility
Al-1
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
power producers (SIC Codes 4911 and 4931) and steam electric nonutility power producers (SIC Major Group
49) account for approximately 92.5% of total cooling water intake in the United States (U.S. EPA, 2001).
However, most of the intake for steam electric power producers is covered under the Phase II regulation, which
applies to power producers with a DIP of 50 MOD or greater. Only power producers with a DIP of less than 50
MOD would be potentially subject to regulation under Phase III.
Beyond steam electric generators, facilities in other industry segments use cooling water in their production
processes (e.g., to cool equipment, for heat quenching, etc.). EPA used information from the 1982 Census of
Manufactures to identify four major manufacturing sectors showing substantial cooling water use: (1) Paper and
Allied Products (SIC Major Group 26); (2) Chemicals and Allied Products (SIC Major Group 28); (3) Petroleum
and Coal Products (SIC Major Group 29); and (4) Primary Metals Industries (SIC Major Group 33). As
illustrated in Table A1-1, steam electric utilities, steam electric nonutility power producers, and the four major
manufacturing sectors together account for approximately 99% of the total cooling water intake in the United
States.
Table Al-1: Cooling Water Intake by Sector
Sector3 (SIC Code)
Steam Electric Utility Power Producers (49)
Steam Electric Nonutility Power Producers (49)
Chemicals and Allied Products (28)
Primary Metals Industries (33)
Petroleum and Coal Products (29)
Paper and Allied Products (26)
Additional 14 Categories0
Cooling Water Intake Flow"
Billion GaL/Yr.
70,000
1,172
2,797
1,312
590
534
607
Percent of Total Cumulative Percent
90.9%
1.5%
3.6%
1.7%
0.8%
0.7%
0.8%
90.9%
92.4%
96.0%
97.8%
98.5%
99.2%
100.0%
a The table is based on reported primary SIC codes.
b Data on cooling water use are from the 1982 Census of Manufactures, except for traditional steam electric utilities,
which are from the Form EIA-767 database, and the steam electric nonutility power producers, which are from the
Form EIA-867 database. 1982 was the last year in which the Census of Manufactures reported cooling water use.
c 14 additional major industrial categories (major SIC codes) with effluent guidelines.
Source: U.S. DOC, 1982; U.S. DOE, 1995; U.S. DOE, 1996.
In its analysis of the manufacturing industries, EPA divided the Primary Metal Industries (SIC 33) into a Steel
sector (SIC 331) and an Aluminum sector (SIC 333/335), based on the business and other operational differences
in these two major industries. The resulting five manufacturing industries - (1) Paper and Allied Products, (2)
Chemicals and Allied Products, (3) Petroleum and Coal Products, (4) Steel, and (5) Aluminum - comprise the
"Primary Manufacturing Industries," as referred to in this chapter and elsewhere in this Economic Analysis (EA)
report.
A key data source for EPA's analysis for the 316(b) Phase III regulation is the detailed questionnaire issued to a
sample of facilities potentially subject to regulation under Phase III. Based on responses to a screener survey,
EPA targeted the detailed questionnaire to facilities believed to be in the electric power industry and the Primary
Manufacturing Industries. EPA received a number of responses from facilities with business operations in
industries other than the Primary Manufacturing Industries. EPA originally believed these facilities to be non-
utility electric power generators; however, inspection of their responses indicated that the facilities were better
understood as cooling water-dependent facilities whose principal operations lie in businesses other than the
Al-2
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
electric power industry or the Primary Manufacturing Industries listed above. This document includes
information for these facilities, referred to as the "Other Industries" or the "Other Industries" group. This
document refers to the Primary Manufacturing Industries and Other Industries, collectively, as "Manufacturers."
The analysis for facilities in the Other Industries group is restricted to the sample of facilities for which EPA
received surveys but which are not part of the statistically valid sample. As a result, EPA's analysis for the Other
Industries group is limited to the known facilities in this group. EPA has not estimated the number of facilities in
the Other Industries group that may be subject to regulation under Phase III because EPA does not believe that
this number can be reliably extrapolated from the sample of known facilities in this group. However, because the
statistically valid survey group of six industries (i.e., for the five Primary Manufacturing Industries and Electric
Generators) reflects 99% of total cooling water withdrawals, EPA believes that few additional facilities in the
Other Industries group are potentially subject to regulation under Phase III.
Although EPA was able to undertake impact analysis for the Other Industries group using only the sample of
known facilities for this group, EPA believes that its analysis for the Other Industries group provides a sufficient
basis for regulation development. EPA's review of the engineering characteristics of cooling water intake and
use in the Other Industries group indicates that cooling water intake and use in these industries do not differ
materially from cooling water intake and use in the electric power industry and the Primary Manufacturing
Industries. In addition, EPA specifically analyzed the economic impacts of evaluated options on the sample
facilities in the Other Industries group. For these reasons, EPA believes that its findings with respect to
economic impact and practicability of this proposal are generally applicable to the full breadth of industries,
including the Other Industries group, within the regulation's scope.
EPA's 2000 Section 316(b) Industry Survey collected cooling water information for 656 power producers
(hereafter referred to as "Electric Generators"), 210 facilities in Primary Manufacturing Industries, and 25
additional known facilities in Other Industries determined to be subject to regulation under Section 316(b).
Industry-wide, these facilities represent 671 power producers, 537 facilities in Primary Manufacturing Industries,
and 29 facilities in Other Industries.1
*• The 671 Electric Generators withdraw 79,000 billion gallons of cooling water per year. Of the 671
power producers, 554 were covered under the final Phase II rule. These 554 facilities accounted for
90.9% of total cooling water flow for Phase II and potential Phase III Electric Generators and
Manufacturers (see Table A1-2). The remaining 117 facilities were considered for potential regulation in
Phase III. Based on the survey, the 117 potential Phase III facilities account for approximately 392
billion gallons of cooling water per year, or 0.5% of the estimated total flow for Phase II and potential
Phase III Electric Generators and Manufacturers.
*• The 537 facilities in Primary Manufacturing Industries withdraw 7,208 billion gallons of cooling water
per year. The 29 additional known facilities in Other Industries withdraw 292 billion gallons of cooling
water per year. Overall, the Manufacturing facilities potentially subject to Phase III regulation account
for approximately 8.7% of total flow for Phase II and potential Phase III Electric Generators and
Manufacturers.
1 EPA applied sample weights to the survey respondents to account for non-sampled facilities and facilities that did not respond to the
survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer to the Information Collection Request (U.S.
EPA, 2000). As indicated in the preceding paragraph, EPA believes that it cannot reliably extrapolate its findings on facility count,
financial characteristics, and compliance cost for facilities in Other Industries beyond the sample observations. Thus, although these
facilities were assigned sample weights as part of the initial sample design, EPA later set these sample weights to 1.0- i.e., the sample
facilities in Other Industries represent only themselves in the analysis. However, the sample weights for two of these Other Industries
facilities were included later in the analysis and were not set to 1.0 for the current analysis. As a result, in the current analysis, the 25
sampled Other Industries facilities are described as representing 29 facilities in the broader population.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table Al-2: Estimated Cooling Water Intake by Sector (Sample Weighted) - EPA Survey
Sector
Steam Electric
Power Producers
Primary
Manufacturing
Industries
Chemicals and
Allied Products
Steel
Aluminum
Petroleum and
Coal Products
Paper and Allied
Products
Additional Known
Facilities in Other
Industries
Total Surveyed
Total
Est. No.
of
Facilities
671
537
185
68
20
39
225
29
1,237
Average
Annual
Intake Flow
(bill.
gallons/yr)
79,100
7,200
2,400
1,700
200
500
2,400
300
86,600
Subject to Phase H Rule
Average
Est. No. Annual % of
of Intake Flow Total
Facilities (bill. Surveyed
gallons/ yr)
554 78,700 90.9%
554 78,700 90.9%
Potentially Subject to Regulation
under Phase HI
Est. No.
of
Facilities
117
537
185
68
20
39
225
29
683
Average
Annual
Intake
Flow (bill.
gallons/ yr)
400
7,200
2,400
1,700
200
500
2,400
300
7,900
%of
Total
Surveyed
0.5%
8.3%
2.8%
2.0%
0.2%
0.6%
2.8%
0.3%
9.1%
Source: U.S. EPA, 2000.
The six sectors analyzed for Phase III rulemaking comprise a substantial portion of all U.S. industries. As shown
in Table Al-3, the six sectors combined account for almost 45,000 facilities and 3.3 million employees, and more
than $1.5 trillion in sales and $150 billion in payroll. The five manufacturing sectors alone account for
approximately 25% of total U.S. manufacturing sales and 15% of manufacturing employment. It should be noted,
however, that only a subset of facilities in these industry sectors would be potentially subject to regulation under
Phase III. In particular, Electric Generators with a DIP of 50 MGD or greater were covered under the Final
Section 316(b) Phase II Rule and therefore would not be subject to regulation under Phase III. Moreover, even
facilities potentially subject to regulation under Phase III would not be subject to the national categorical
requirements of the proposed rule, unless they operate a CWIS and meet the other applicability criteria of this
rule, including the ultimately-selected DIP threshold.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table Al-3: Summary Economic Data for Major Industry Sectors Potentially Subject to §316(b)
Regulation: Facilities, Employment, Estimated Revenue, and Payroll in Millions of 2003 Dollars"
Sector (SIC)
Power Producers (49)c
Paper & Allied Products (26)
Chemicals & Allied Products (28)
Petroleum & Coal Products (29)
Steel (331)
Aluminum (333,335)
All §316(b) Sectors
Total U.S. Manufacturing
§316(b) Manufacturing Sectors as a Percent
of Total U.S. Manufacturing6
Number of
Facilities'"
22,323
6,509
12,401
2,136
993
405
44,767
377,673
5.9%
Employment
835,917
170,661
1,903,013
101,452
189,343
76,354
3,276,740
15,879,477
15.4%
Sales, Receipts, or
Shipments
(S millions)
$495,971
$74,293
$628,637
$226,092
$62,498
$28,994
$1,516,485
4,097,675
24.9%
Payroll
(S millions)
$46,381
$9,473
$78,784
$6,017
$9,257
$3,204
$153,116
612,046
17.4%
a Dollar values adjusted to 2003 using the Implicit Price Deflators for Gross Domestic Product from the Bureau of Economic
Analysis.
b Number of facilities is not available in the Annual Survey of Manufactures so was collected from the 1997 Economic Census
instead.
c Data for Power Producers comes from the 1997 Economic Census (the last year of available data).
d Data are not available by SIC in the 2001 Annual Survey of Manufactures so data was collected by NAICS instead. Paper &
Allied Products (SIC 26) = NAICS 3221; Chemicals & Allied Products (28) = NAICS 325 and 326; Petroleum & Coal Products
(29) = NAICS 3241; Steel (331) = NAICS 3311 and 3312; Aluminum (333,5) = NAICS 3313.
° Only the four §316(b) manufacturing sectors (26, 28, 29, and 33) are included in the percentage. SIC 49 is not part of total U.S.
manufacturing.
Sources: 1997 Economic Census: Comparative Statistics for United States 1987 SIC Basis; Annual Survey of Manufacturers, 2001.
In addition to the Electric Generators and Manufacturing sectors covered by EPA's 2000 Section 316(b) Industry
Survey and discussed above, EPA also analyzed for potential regulation in Phase III new offshore oil and gas
extraction facilities (also abbreviated as "new OOGE facilities"), seafood processing vessels, and offshore liquid
natural gas (LNG) terminals. EPA's analysis of these facilities is discussed in Part C: Economic Analysis for
Phase III New Offshore Oil and Gas Extraction Facilities of this EA and in the Technical Development
Document for the Proposed Section 316(b) Rule for Phase III Facilities (U.S. EPA, 2004).
Al-1.2 Phase III Facility Information
Two of the primary parameters used to define the options evaluated by EPA are the design intake flow (DIP) of
potentially regulated facilities and their waterbody type. The main DIP applicability thresholds considered by
EPA in establishing the regulatory requirements of this proposal are: 2 MGD, 20 MGD, 50 MGD, 100 MGD, and
200 MGD (see section A1-2 below). In addition, several of the analyzed options also differentiate compliance
requirements based on the type of waterbody from which a facility withdraws cooling water. The two main types
of waterbody are (1) coastal waterbodies (including estuaries/tidal rivers, and oceans) and Great Lakes, which are
generally considered of higher biological productivity and therefore more sensitive to adverse environmental
impact; and (2) inland facilities (including freshwater rivers/streams and lakes/reservoirs).
Table A1-4 shows, by waterbody type and industry segment, the number of facilities potentially subject to
national requirements under five the different DIP applicability thresholds, and the total DIP of all facilities
potentially subject to regulation under Phase III. EPA estimates that as many as 566 existing facilities in the
Al-5
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
Manufacturers segment (including 537 facilities in the Primary Manufacturing Industries and 29 known facilities
in Other Industries), 117 existing Electric Generators, and 124 new offshore oil and gas extraction facilities are
potentially subject to regulation under Phase III, based on a 2 MOD DIP applicability threshold. The number of
these facilities that would be subject to national categorical requirements varies based on the option evaluated.
Under each option, existing facilities with DIFs below the specified applicability threshold for that option or
withdrawing water from a waterbody not covered by the option, would continue to be subject to permit
specifications based on best professional judgment (BPJ) instead of the national categorical requirements
contained in this proposal. Table Al-4 also shows that the 807 facilities potentially subject to regulation under
Phase III have a total combined DIP of approximately 42 billion gallons per day. Of these facilities, a total of
158 facilities have an individual DIP of 50 MGD or greater, 73 facilities have an individual DIP of 100 MGD or
greater, and 31 facilities have an individual DIP of 200 MGD or greater.
Al-6
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table Al-4: Number of Potential Phase III Facilities and Design Cooling Water Intake
by Industry Segment
Industry Segment
Subject to National Requirements with DIF Applicability
Threshold of Greater than or Equal to
2MGD
20 MGD 50 MGD 100 MGD
200 MGD
Total DIF (MGD)
All Waterbodies
Existing Manufacturing Facilities
Primary Manufacturing Industries
Other Industries
Existing Electric Generators
New Oil & Gas Facilities3
Total
566
537
29
111
124
807
342
328
15
51
5
399
155
145
10
0
3
158
73
67
6
0
73
31
28
3
0
31
38,070
36,333
1,737
2,372
1,349
41,791
Coastal Waterbodies and Great Lakes
Existing Manufacturing Facilities
Primary Manufacturing Industries
Other Industries
Existing Electric Generators
New Oil & Gas Facilities3
Total
119
110
9
11
124
254
87
79
8
4
5
96
52
47
5
0
3
55
26
23
3
0
26
15
13
2
0
15
10,745
9,793
952
265
1,349
12,359
Inland Waterbodies
Existing Manufacturing Facilities
Primary Manufacturing Industries
Other Industries
Existing Electric Generators
New Oil & Gas Facilities
Total
447
427
20
106
0
553
255
248
7
47
0
302
103
98
5
0
0
103
47
44
3
0
47
16
15
1
0
16
27,325
26,540
785
2,106
0
29,431
a DIF for new offshore oil and gas extraction facilities is the peak DIF when all 124 new facilities are operating.
Source: U.S. EPA, 2000; U.S. EPA Analysis, 2004.
Al-2 SUMMARY OF THE PROPOSED RULE AND OTHER EVALUATED OPTIONS
In today's proposal, EPA is proposing three options for existing facilities based on DIF and source waterbody
type. These options define which facilities are Phase III existing facilities that would be subject to the proposed
national categorical requirements. The three proposed options would regulate:
*• (1) facilities with a total design intake flow of 50 MGD or more and located on any source waterbody
type;
*• (2) facilities with a total design intake flow of 200 MGD or more and located on any source waterbody
type;
Al-7
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
*• (3) facilities with a total design intake flow of 100 MGD or more and located on certain source
waterbody types (i.e., an ocean, estuary, tidal river/stream or one of the Great Lakes).
The proposed rule would require Phase III existing facilities to meet similar performance standards to those
required in the final Phase II rule, including a 80-95% reduction in impingement mortality and a 60-90%
reduction in entrainment. The proposed rule also provides for the same five compliance alternatives specified in
the final Phase II rule. If a facility is a point source that uses a cooling water intake structure and has, or is
required to have, an NPDES permit, but does not meet the definition of Phase III existing facility under the
corresponding evaluated option (e.g., the intake is below the specified DIF/source waterbody threshold or does
not meet the 25% cooling purposes threshold), it would be subject to requirements implementing section 316(b)
of the Clean Water Act set by the permit director on a case-by-case basis, using best professional judgment
(BPJ).
In developing this proposal, EPA evaluated several additional options based on varying flow regimes and
waterbody types. Two of these options (specifically, Options 1 and 6 below) are based on applying the same
performance standards and compliance alternatives as those being proposed (i.e., the final Phase II performance
standards and requirements including the use of case-by-case permit determinations based on BPJ for facilities
below the applicable thresholds) but using different DIP applicability thresholds. EPA also considered a number
of options (specifically Options 2, 3, 4, and 7 below) that would establish different performance standards for
certain groups or subcategories of Phase III existing facilities. Under these options, EPA would apply the
proposed performance standards and compliance alternatives (i.e., the Phase II requirements) to the higher
threshold facilities, apply the less-stringent requirements as specified below to the middle flow threshold
category, and would apply BPJ below the lower threshold.
Each of the options evaluated in developing this proposed rule is described in detail below:
Option 1 ("20 MGD for All Waterbodies Option"): Facilities with a DIP of 20 MGD or greater would be
subject to the performance standards and compliance alternatives proposed in today's rule. Under this option,
section 316(b) requirements for existing Phase III facilities with a DIP of less than 20 MGD would be established
on a case-by-case, BPJ, basis.
Option 2: Facilities with a DIP of 50 MGD or greater would be subject to the performance standards and
compliance alternatives proposed in today's rule (discussed above). Facilities located on estuaries, oceans, tidal
rivers or streams, or one of the Great Lakes, and with a DIP between 20 and 50 MGD (20 MGD inclusive) would
be subject to the same performance standards and compliance alternatives proposed in today's rule. Facilities
located on freshwater rivers and lakes with a DIP between 20 and 50 MGD (20 MGD inclusive) would have to
meet the performance standards for impingement mortality only and not for entrainment. Under this option,
section 316(b) requirements for existing Phase III facilities with a DIP of less than 20 MGD would be established
on a case-by-case, BPJ, basis.
Option 3: Facilities with a DIP of 50 MGD or greater would be subject to the performance standards and
compliance alternatives proposed in today's rule (discussed above). All facilities with a DIP between 20 and 50
MGD (20 MGD inclusive) would have to meet the performance standards for impingement mortality only and
not for entrainment. Under this option, section 316(b) requirements for existing Phase III facilities with a DIP of
less than 20 MGD would be established on a case-by-case, BPJ, basis.
Option 4: Facilities with a DIP of 50 MGD or greater would be subject to the performance standards and
compliance alternatives proposed in today's rule (discussed above). Facilities located on estuaries, oceans, tidal
rivers or streams, or one of the Great Lakes, and with a DIP between 20 and 50 MGD (20 MGD inclusive) would
be subject to the same performance standards and compliance alternatives proposed in today's rule. Under this
option, section 316(b) requirements for all existing Phase III facilities on freshwater rivers/streams or
lakes/reservoirs and with a DIP between 20 and 50 MGD (20 MGD inclusive), and all existing Phase III facilities
with a DIP of less than 20 MGD would be established on a case-by-case, BPJ, basis.
Al-8
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
Option 5 (Proposed "50 MGD for All Waterbodies Option"): Facilities with a DIP of 50 MOD or greater
would be subject to the performance standards and compliance alternatives proposed in today's rule (discussed
above). Under this option, section 316(b) requirements for existing Phase III facilities with a DIP of less than 50
MGD would be established on a case-by-case, BPJ, basis.
Option 6: Facilities with a DIP of 2 MGD or greater would be subject to the performance standards and
compliance alternatives proposed in today's rule (discussed above). Under this option, section 316(b)
requirements for Phase III facilities with a DIP of less than 2 MGD would be established on a case-by-case, BPJ,
basis.
Option 7: Facilities with a DIP of 50 MGD or greater would be subject to the performance standards and
compliance alternatives proposed in today's rule (discussed above). Facilities with a DIP between 30 and 50
MGD (30 MGD inclusive) would have to meet the performance standards for impingement mortality only and
not for entrainment. Under this option, section 316(b) requirements for Phase III facilities with a DIP of less than
30 MGD would be established on a case-by-case, BPJ, basis.
Option 8 (Proposed "200 MGD for All Waterbodies" Option): Facilities with a DIP of 200 MGD or greater
would be subject to the performance standards and compliance alternatives proposed in today's rule (discussed
above). Under this option, section 316(b) requirements for existing Phase III facilities with a DIP of less than
200 MGD would be established on a case-by-case, BPJ, basis.
Option 9 (Proposed "100 MGD for Certain Waterbodies" Option): Facilities located on estuaries, oceans,
tidal rivers or streams, or one of the Great Lakes, and with a DIP of 100 MGD or greater would be subject to the
performance standards and compliance alternatives proposed in today's rule (discussed above). Under this
option, section 316(b) requirements for all existing Phase III facilities on freshwater rivers and streams or lakes
and reservoirs, and all existing Phase III facilities with a DIP of less than 100 MGD would be established on a
case-by-case, BPJ, basis.
Table A1-5 summarizes which facilities would be defined as existing Phase III facilities and which performance
standards would apply under each of the options described above.
Al-9
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table Al-5: Performance Standards for the Evaluated Options for Existing Facilities
Minimum DIF Defining Facilities as Existing Phase HI Facilities
Option
1
2
3
4
5
6
7
8
9
2MGD
BPJ
BPJ
BPJ
BPJ
20MGD
30MGD
50 MGD 100 MGD
I&E
Estuaries, oceans, tidal waters, or one
of the Great Lakes: I&E
All other waterbodies: I only
I only
Estuaries, oceans, tidal waters, or one
of the Great Lakes: I&E
All other waterbodies: BPJ
BPJ
200 MGD
I&E
I&E
I&E
I&E
I&E
BPJ
I only
I&E
BPJ
I&E
Estuaries, oceans, tidal waters, or one
BPJ of the Great Lakes: I&E
All other waterbodies: BPJ
Key:
BPJ - Best Professional Judgement
I&E - 80-95% reduction in impingement mortality and a 60-90% reduction in entrainment
I only - 80-95% reduction in impingement mortality only
Estuaries - includes tidal rivers and streams
Source: U.S. EPA Analysis, 2004.
In the remainder of this document, the discussion for existing facilities (i.e., the Manufacturers and Generators
industry segments) focuses on the three proposed options listed above: the "50 MGD for All Waterbodies" option
(Option 5 - also referred to as the "50 MGD All" option); the "200 MGD for All Waterbodies" option (Option 8
- also referred to as the "200 MGD All" option); and the "100 MGD for Certain Waterbodies" Option (Option 9
- also referred to as the "100 MGD CWB" option). In addition to presenting analyses for the three proposed
options in the chapter texts of this document, the appendixes to the relevant chapters also present analyses for the
other evaluated options (Option 1, Option 2, Option 3, Option 4, and Option 6). EPA did not conduct economic
analyses for one of the options defined above (Option 7). More information on the potential costs of Option 7
can be found in the Technical Development Document (U.S. EPA, 2004).
This proposed rule would also address new offshore oil and gas extraction facilities. Under this part of the
proposed rule, new offshore oil and gas extraction facilities that withdraw 2 MGD or more would be subject to
select requirements similar to those applicable to other new facilities in the Phase I (new facility) 316(b)
regulation. These requirements address intake flow velocity, proportional flow restrictions, specific impact
concerns (e.g., threatened or endangered species; critical habitat; or migratory, sport, or commercial species), and
information submission, monitoring, and recordkeeping. Available information indicates that it is not feasible for
offshore oil and gas extraction facilities to employ closed-cycle recirculating cooling systems to reduce cooling
water flow levels because such facilities have neither the physical space nor the technical capacity to install
technologies such as cooling towers or other closed-cycle systems. Thus, in this proposed rule, EPA would not
require new offshore oil and gas extraction facilities to reduce intake flow to a level commensurate with a closed-
cycle recirculating cooling system or to use close-cycle recirculating cooling as a baseline for performance
standards.
Al-10
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
Al-3 SUMMARY OF ECONOMIC ANALYSIS RESULTS
This section presents a brief summary of the main results of EPA's economic analyses for the proposed rule.
This summary includes results for the three proposed options for existing facilities and the proposed option for
new facilities. More detail on each analysis, including methodology and results, is provided in later chapters of
this EA.
a. Number of Facilities Subject to National Categorical Requirements
*«* Existing Facilities
EPA is proposing three options for existing facilities. These three options have the same national categorical
requirements, but they differ with respect to the number of existing facilities that would be subject to these
requirements. Specifically, the number of regulated facilities differs as a result of (1) the design intake flow
(DIP) applicability thresholds of the three options; and (2) the type of waterbodies to which the options would
apply. Facilities that meet the flow/source waterbody threshold of a particular option would be subject to
performance standards similar to those established in Phase II; facilities that do not meet the relevant thresholds
would remain subject to permitting on a case-by-case, best professional judgment, basis.
Table A1-6 on the following page presents, by industry segment and option, (1) the number of existing facilities
potentially subject to regulation under Phase III, (2) the estimated number of baseline closures, and (3) for the
three proposed options, the number of existing facilities that would be subject to the proposed national
categorical requirements and the number of facilities estimated to install a technology to comply with this
proposal. Under each option, facilities that are not baseline closures and would not be subject to the national
requirements ("Potentially Subject to Regulation" minus "Baseline Closure" minus "Subject to National
Requirements - Total") are subject to permitting on a case-by-case, best professional judgment, basis.
As shown in Table Al-6, as many as 566 facilities in the Manufacturers segment (including 537 facilities in the
Primary Manufacturing Industries and 29 known facilities in Other Industries) and 117 Electric Generators are
potentially subject to regulation under Phase III. EPA estimates that 77 Manufacturers and three Electric
Generators would be baseline closures, i.e., they would be in severe financial distress independent of regulation.
In the Manufacturers segment, the 50 MGD All option would subject the largest number of facilities (136) to
national categorical requirements. Of these, 103 are estimated to install a technology to comply with the
proposed rule's requirements. The 200 MGD All option would subject 25 facilities in the Manufacturers
segment to national categorical requirements, with 22 facilities estimated to install a technology. The 100 MGD
CWB option would subject the smallest number of manufacturing facilities (19) to national categorical
requirements, with 18 of these facilities estimated to install a technology. Since existing Electric Generators with
a DIP of 50 MGD or greater were covered by the final Phase II rule, no Phase III Generator would be subject to
the national requirements under any of the three proposed options.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table Al-6: Phase III Existing Facility Counts
Industry
Manufacturers
Primary Man.
Industries
Other
Industries
Electric Generators
Total3
Potentially
Subject to
Regulation
566
537
29
111
683
Baseline
Closure
77
73
4
3
SO
Subject to National Requirements, Excluding Baseline
50 MGD All Option
Total
136
127
9
0
136
w/
Technology
103
97
7
0
103
200 MGD All Option
Total
25
23
2
0
25
w/
Technology
22
20
2
0
22
100
Total
19
17
2
0
19
Closures
MGD CWB
Option
w/
Technology
18
16
2
0
18
a Individual numbers may not sum to totals due to independent rounding.
Source: U.S. EPA Analysis, 2004.
*«* New Facilities
EPA is proposing a 2 MGD flow threshold for new offshore oil and gas extraction facilities, the same threshold
applicable to other new facilities under Phase I. EPA's analysis of new offshore oil and gas extraction facilities
includes oil and gas production platforms/structures and mobile offshore drilling units (MODUs). EPA estimated
the number and characteristics of new offshore oil and gas extraction facilities based on data on existing offshore
oil and gas extraction facilities, collected through EPA's 316(b) survey of offshore oil and gas extraction
facilities and from other sources of publicly available information, such as the Minerals Management Service.
EPA estimates that 21 new offshore oil and gas extraction platforms and 103 new MODUs would be subject to
the national requirements of the proposed option, assuming a 20-year period of construction from 2007 (the
assumed effective date of the rule) to 2026.
b. Economic Impacts
*«* Existing Facilities
EPA identified a facility as a regulatory closure if it would have operated under baseline conditions but would
fall below an acceptable financial performance level under the proposed regulatory requirements. EPA's analysis
of regulatory closures is based on the estimated change in facility after-tax cash flow (cash flow) as a result of the
regulation and specifically examines whether the change in cash flow would be sufficient to cause the facility's
going concern business value to become negative.2 EPA calculated the going concern value of each facility using
a discounted cash flow framework in which cash flow is discounted at an estimated cost of capital. The
definition of cash flow used in these analyses is after-tax free cash flow available to all capital - equity and debt.
Correspondingly, the cost of capital reflects the combined cost, after-tax, of equity and debt capital. For its
analysis of economic/financial impacts on the Manufacturers industry segment, EPA used 7% as a real, after-tax
cost of capital.
EPA also identified facilities that would likely incur moderate financial impacts, but that would not be expected
to close, as a result of the proposed rule. EPA established thresholds for two measures of financial performance
2 This methodology applies to Manufacturing facilities only. Since Electric Generators with a DIF of 50 MGD or greater were
covered by the final Phase II rule, no Phase III Generators are subject to regulation under the three proposed options.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
and condition - interest coverage ratio and pre-tax return on assets - and compared the facilities' performance
before and after compliance under each option with these thresholds. EPA attributed incremental moderate
impacts to the rule if both financial ratios exceeded threshold values in the baseline (i.e., there were no moderate
impacts in the baseline), but at least one financial ratio fell below the threshold value in the post-compliance
case.
Of the 474 Manufacturing facilities potentially subject to regulation after baseline closures, EPA estimated that
no facilities would close or incur employment losses as a result of the three proposed options.3 EPA also found
that none of the 474 baseline-pass facilities would incur a moderate economic impact as a result of the three
proposed options.
EPA also assessed whether firms owning regulated facilities might incur a material adverse impact, based in
particular on the possibility of owning more than one regulated facility. This analysis, which relied on a firm-
level cost-to-revenue test, found that no firms owning Manufacturing facilities would be materially affected as a
result of the proposed regulation.
For a detailed discussion of EPA's economic impact analyses for existing facilities, see Chapter B3: Economic
Impact Analysis for Manufacturers and Chapter B5: Economic Impact Analysis for Electric Generators.
EPA conducted several types of economic impact analysis for the new offshore oil and gas extraction industry
segment. These analyses include three analyses for platforms/structures (facility-level production value and
closure analysis, facility-level barrier-to-entry analysis, and firm-level cost-to-revenue analysis) and three
analyses for MODUs (facility-level closure analysis, facility-level barrier-to-entry analysis, and firm-level cost-
to-revenue analysis). These analyses found no economic impact on any new offshore oil and gas extraction
facility that would be subject to regulation under Phase III or any firm projected to build a new offshore oil and
gas extraction facility that would be subject to regulation under Phase III.
For a detailed discussion of EPA's economic impact analyses for new facilities, see Chapter C3: Economic
Impact Analysis for the Offshore Oil and Gas Extraction Industry.
c. Regulatory Flexibility Analysis
*«* Existing and New Facilities
The Regulatory Flexibility Act (RFA) requires EPA to consider the economic impact a proposed rule would have
on small entities. Under the three proposed options, EPA estimates that no existing small entities in the
Manufacturers or Electric Generators industry segments would be subject to national categorical requirements.
In the new offshore oil and gas extraction industry segment, EPA estimates that one small entity, a new offshore
oil and gas extraction platform, would be subject to the national requirements of the proposed rule. EPA
estimates that this entity would incur annualized, after-tax compliance costs of less than 0.1% of annual revenue.
Table A1-7 outlines the total number of small entities in each industry segment, the number of small entities
potentially subject to regulation under Phase III, and the estimated cost-to-revenue ratio that small entities would
incur in complying with the proposed regulation. For a detailed discussion of these analyses, see Chapter Dl:
Regulatory Flexibility Analysis.
3 Certain sample facilities used for estimating the number of facilities potentially subject to regulation under Phase III were not
included in the economic impact analysis because their questionnaire responses lacked some data needed for the economic analysis. Using
revised sample weights (to reflect the removed facilities) yields an estimate of 12 fewer Manufacturing facilities (554) for the economic
impact analysis than the estimated total (566) of Manufacturing facilities using all possible sample facilities. See Chapter B3 for further
discussion.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table Al-7: Summary of Small Entity Impact Ratio Ranges by Industry Segment
Industry
Total Number of
Small Entities
Number of Small
Entities Owning
Facilities
Potentially Subject
to Regulation
Percentage of
Small Entities
Subject
toRegulation
Compliance Cost/Annual
Revenues
0-1% 1-3% >3%
Proposed Options / 2 MGD Option
Manufacturers
Electric Generators
New OOGE Facilities
Total
5,113
543 - 1,295
24 1
5,680 - 6,432 1
0.0%
0.0%
4.2%
0.0%
1
1
0 0
Source: U.S. EPA Analysis, 2004.
d. UMRA Analysis
*«* Existing and New Facilities
Under section 202 of the Unfunded Mandates Reform Act (UMRA), EPA generally must prepare a written
statement, including a cost-benefit analysis, for proposed and final rules with "Federal mandates" that might
result in expenditures by State, local, and Tribal governments, in the aggregate, or by the private sector, of $100
million or more in any one year. EPA's UMRA analysis for this proposed rule found the following:
*• 50 MGD for All Waterbodies option for existing facilities and proposed option for new offshore oil
and gas extraction facilities: EPA estimates the total annualized after-tax costs of compliance for this
option to be $44.8 million (2003$). All of these direct facility costs are incurred by the private sector
(including 136 Manufacturing facilities and 124 new offshore oil and gas extraction facilities). No
facility owned by State and local governments is subject to the national requirements under this proposed
option. Additionally, State and local permitting authorities are estimated to incur $0.5 million annually
to administer this option, including labor costs to write permits and to conduct compliance monitoring
and enforcement activities. EPA estimates that the highest undiscounted after-tax cost incurred by the
private sector in any one year is approximately $280 million in 2011.
*• 200 MGD for All Waterbodies option for existing facilities and proposed option for new offshore oil
and gas extraction facilities: EPA estimates the total annualized after-tax costs of compliance for this
option to be $21.4 million (2003$). All of these direct facility costs are incurred by the private sector
(including 25 manufacturing facilities and 124 new offshore oil and gas extraction facilities). No facility
owned by State and local governments is subject to the national requirements under this proposed option.
Additionally, State and local permitting authorities are estimated to incur $0.1 million annually to
administer this option, including labor costs to write permits and to conduct compliance monitoring and
enforcement activities. EPA estimates that the highest undiscounted after-tax cost incurred by the private
sector in any one year is approximately $91 million in 2010.
*• 100 MGD for Certain Waterbodies option for existing facilities and proposed option for new offshore
oil and gas extraction facilities: EPA estimates the total annualized after-tax costs of compliance for this
option to be $17.4 million (2003$). All of these direct facility costs are incurred by the private sector
(including 19 manufacturing facilities and 124 new offshore oil and gas extraction facilities). No facility
owned by State and local governments is subject to the national requirements under this proposed option.
Additionally, State and local permitting authorities are estimated to incur $0.2 million annually to
administer this option, including labor costs to write permits and to conduct compliance monitoring and
enforcement activities. EPA estimates that the highest undiscounted after-tax cost incurred by the private
sector in any one year is approximately $236 million in 2011.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table A1-8 summarizes the total annualized cost and maximum one-year cost, by facility and government costs,
for each of the proposed options. For a detailed discussion of these analyses, see Chapter D2: UMRA Analysis.
Table Al-8: Summary of UMRA Costs (in millions, 2003$)
Sector
Total Annualized Cost
Facility Government
Compliance Implementation Total
Costs Costs
Maximum One- Year Cost
Facility
Compliance
Costs
Government
Implementation
Costs
Total
50 MGD All Option for Existing Facilities /Proposed Option for New Facilities
Government Sector
(excl. Federal)
Private Sector
$0.0 $0.5
$44.8 n/a
$0.5
$44.8
$0.0
$280.3
200 MGD All Option for Existing Facilities /Proposed Option for New
Government Sector
(excl. Federal)
Private Sector
$0.0 $0.1
$21.4 n/a
$0.1
$21.4
$0.0
$90.8
$2.0
n/a
Facilities
$0.4
n/a
$2.0
$280.3
$0.4
$90.8
100 MGD CWBfor Existing Facilities /Proposed Option for New Facilities
Government Sector
(excl. Federal)
Private Sector
$0.0 $0.2
$17.4 n/a
$0.1
$17.4
$0.0
$235.6
$0.8
n/a
$0.8
$235.6
Source: U.S. EPA Analysis, 2004.
e. Energy Effects
Executive Order 13211, ("Actions Concerning Regulations That Significantly Affect Energy Supply,
Distribution, or Use" (66 FR 28355, May 22, 2001)) requires EPA to prepare a Statement of Energy Effects when
undertaking regulatory actions identified as "significant energy actions." This rule is not a "significant energy
action" as defined in Executive Order 13211 because it is not likely to have a significant adverse effect on the
supply, distribution, or use of energy.
EPA analyzed the potential for energy effects of the three proposed options for existing facilities and the
proposed option for new offshore oil and gas extraction facilities and found that none of them would lead to
adverse outcomes. From these analyses, EPA concludes that this proposal would have minimal energy effects at
a national and regional level. As a result, EPA did not prepare a Statement of Energy Effects. For more detail on
the potential energy effects of this proposal, see Chapter D3: Other Administrative Requirements, Section D3-7.
f. Social Costs
*«* Existing Facilities
EPA calculated the social cost of the three proposed options for Manufacturers and Electric Generators using two
discount rate values: 3% and 7%. At a 3% rate, EPA estimated total annualized social costs of $47.3 million for
the 50 MGD All option, $22.8 million for the 200 MGD All option, and $17.6 million for the 100 MGD CWB
option (all dollar values in 2003$). At a 7% rate, these values are $50.1 million, $24.1 million, and $18.3
million, respectively. The largest component of social cost is the pre-tax cost of regulatory compliance incurred
by complying facilities; these costs include pilot study costs, one-time technology costs of complying with the
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
rule, one-time costs of installation downtime, annual operating and maintenance costs, and permitting costs
(initial permit costs, annual monitoring costs, and permit reissuance costs). Social cost also includes
implementation costs incurred by Federal and State governments. As described above, EPA's social cost
estimates exclude the cost of facilities estimated to be baseline closures.
Table A1-9 presents the total social cost for existing facilities under the three proposed options by type of cost,
using 3% and 7% discount rates. As shown in the table, direct compliance cost in the Manufacturers segment
accounts for the substantial majority of total social cost for existing facilities under all three proposed options.
No Electric Generators would be subject to the national categorical requirements under any of the proposed
options. EPA's estimate of Federal and State government costs for administering the rule is comparatively minor
in relation to the estimated direct cost of regulatory compliance.
Table Al-9: Social Cost for Existing Facilities (annualized, in millions, 2003$)
Direct Compliance Cost:
Manufacturers3
Primary Manufacturing Industries
Other Industries
Electric Generators
Total Direct Compliance Cost3
State and Federal Administrative Cost
Total Social Cost for Existing Facilities3
50 MGD All
3%
$46.8
$42.7
$4.1
$0.0
$46.8
$0.6
$47.3
Option
7%
$49.5
$45.1
$4.4
$0.0
$49.5
$0.6
$50.1
200 MGD All
3%
$22.6
$21.7
$1.0
$0.0
$22.6
$0.1
$22.8
Option
7%
$24.0
$23.1
$0.9
$0.0
$24.0
$0.1
$24.1
100 MGD
3%
$17.5
$16.7
$0.7
$0.0
$17.5
$0.2
$17.6
CWB Option
7%
$18.1
$17.4
$0.7
$0.0
$18.1
$0.2
$18.3
a Individual numbers may not sum due to independent rounding.
Source: U.S. EPA Analysis, 2004.
*«* New Facilities
EPA calculated the social cost for regulated new offshore oil and gas extraction facilities also using 3% and 7%
discount rates. EPA estimated total annualized social costs of $3.7 million at a 3% rate and $3.0 million at a 7%
rate. The largest component of social cost is the pre-tax cost of regulatory compliance incurred by complying
facilities; these costs include pilot study costs, one-time technology costs of complying with the rule, one-time
costs of installation downtime, annual operating and maintenance costs, and permitting costs (initial permit costs,
annual monitoring costs, and permit reissuance costs). Social cost also includes implementation costs incurred
by the Federal government. States are not involved in administering the permits for new offshore oil and gas
extraction facilities since the oil and gas industry is permitted under General Permits at the Regional EPA level
(which is part of the Federal government).
Table A1-10 presents the total social cost for new facilities under the proposed regulation by type of cost, using
3% and 7% discount rates.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table Al-10: Social Cost for New Facilities (annualized, in millions, 2003$)
Direct Compliance Cost:
MODUs
Platforms/Structures
Total Direct Compliance Cost3
State and Federal Administrative Cost
Total Social Cost for New Facilities"
Proposed Option
3%
$1.9
$1.4
$3.2
$0.4
$3.7
7%
$1.6
$1.1
$2.7
$0.3
$3.0
a Individual numbers may not sum due to independent rounding.
Source: U.S. EPA Analysis, 2004.
*«* Existing and New Facilities
EPA is proposing three flow threshold/source waterbody-based options for existing facilities and is also
proposing requirements for new offshore oil and gas extraction facilities, similar to those applicable to other new
facilities in Phase I. Under the 50 MGD All option for existing facilities and the proposed option for new
offshore oil and gas extraction facilities, total annualized social costs are $51.0 million and $53.1 million, using
3% and 7% discount rates, respectively. Under the 200 MGD All option for existing facilities and the proposed
option for new offshore oil and gas extraction facilities, total annualized social costs are $26.4 million and $27.2
million, using 3% and 7% discount rates, respectively. Under the 100 MGD CWB option for existing facilities
and the proposed option for new offshore oil and gas extraction facilities, total annualized social costs are $21.3
million at both discount rates.
Table Al-11 summarizes the total social costs for existing and new facilities. For details of EPA's social cost
analyses, see Chapter El: Summary of Social Costs.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table Al-11: Total Social Cost for Existing and New Facilities (annualized, in millions, 2003 $)
Direct Compliance Cost:
Existing Facilities
New Facilities
Total Direct Compliance Cost3
State and Federal Administrative Cost:
Existing Facilities
New Facilities
Total State and Federal Administrative Cost3
Total Social Cost3
50 MGD All Option /
2 MGD Option
3%
$46.8
$3.2
$50.0
$0.6
$0.4
$1.0
$51.0
7%
$49.5
$2.7
$52.2
$0.6
$0.3
$0.9
$53.1
200 MGD All Option /
2 MGD Option
3% 7%
$22.6 $24.0
$3.2 $2.7
$25.9 $26.7
$0.1 $0.1
$0.4 $0.3
$0.5 $0.5
$26.4 $27.2
100 MGD CWB Option /
2 MGD Option
3%
$17.5
$3.2
$20.7
$0.2
$0.4
$0.6
$21.3
7%
$18.1
$2.7
$20.8
$0.2
$0.3
$0.5
$21.3
" Individual numbers may not add up to totals due to independent rounding.
Source: U.S. EPA Analysis, 2004.
g. Benefit-Cost Analysis
*«* Existing Facilities
The benefit-cost analysis for each option compares total annualized use benefits to total annualized pre-tax costs
(social costs) for facilities that remain open in the baseline. Benefits and costs were discounted using both a 3%
and 7% discount rate. The cost estimates include costs of compliance to facilities subject to regulation under
Phase III as well as administrative costs incurred by State and local governments and by the Federal government.
The benefits estimates include monetized benefits to commercial and recreational fishing. Total monetizable
benefits include only use benefits because non-use benefits were evaluated qualitatively. Thus, the benefit-cost
analysis compares a substantially complete measure of social costs with an incomplete measure of social benefits
and should be interpreted bearing in mind this inconsistency.
Table Al-12 summarizes the number of facilities subject to regulation under Phase III, the number of facilities
estimated to install I&E technologies, total annualized benefits, total annualized costs, and net benefits for the
three proposed options. Since EPA was unable to estimate benefits for the new offshore oil and gas extraction
industry segment, the benefit-cost analysis only includes existing facilities. As reported in Table Al-12,
estimated costs exceed estimated use benefits under all three of the proposed options for existing facilities.
Under the 50 MGD All option, 136 facilities would be subject to the national categorical requirements. Of those
facilities, 103 are estimated to install technologies to reduce impingement and entrainment. Using a 3% discount
rate, total costs would exceed total use benefits by $45.4 million; using a 7% discount rate, total costs would
exceed total use benefits by $48.6 million. Under the 200 MGD All option, 25 facilities would be subject to the
national categorical requirements, with 22 facilities estimated to require new technologies. This option yields
total social costs in excess of total benefits of $21.5 million and $23.1 million, discounted at 3% and 7%,
respectively. Under the 100 MGD CWB option, 19 facilities would be subject to the national categorical
requirements, and 18 are estimated to install technologies. Total social costs would exceed total use benefits by
$16.2 million using a 3% discount rate, and $17.2 million using a 7% discount rate. For further discussion of the
benefit-cost analysis, see Chapter E3: Comparison of Benefits and Social Costs.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
Al: Introduction
Table Al-12: Summary of Benefits and Social Costs for Existing
Option
Number of Number of
Facilities Subject Facilities Installing
to Option Technology
Annualized
Use Value of
I&E
Reductions
(Mean)3
Facilities (millions,
Total Annualized
Costs
2003$)
Net Benefits
(Mean)"
3% Discount Rate
50 MOD All Option
200 MOD All Option
100 MOD CWB Option
136 103
25 22
19 18
$1.9
$1.3
$1.4
$47.3
$22.8
$17.6
($45.4)
($21.5)
($16.2)
7% Discount Rate
50 MOD All Option
200 MOD All Option
100 MOD CWB Option
136 103
25 22
19 18
$1.5
$1.0
$1.1
$50.1
$24.1
$18.3
($48.6)
($23.1)
($17.2)
a The total monetizable value of I&E reductions includes use benefits only. EPA evaluated non-use benefits only qualitatively.
b Net benefits are computed by subtracting total annualized costs from total annual use benefits. The net benefits presented here are
based on the comparison of a substantially complete measure of social costs with an incomplete measure of benefits and should be
interpreted with caution. In addition to the mean value presented in this table, EPA also estimated a range based on low and high
values (see Chapter E3).
Source: U.S. EPA Analysis, 2004.
Al-4 ORGANIZATION OF THE EA REPORT
The Economic Analysis for the Proposed Section 316(b) Rule for Phase III Facilities (EA) assesses the costs,
economic impacts, and benefit-cost relationships of the options evaluated in developing this proposed rule. The
EA consists of five parts, organized as follows:
Part A: Background Information
Chapter Al: Introduction provides a brief discussion of the regulated industry sectors and facilities, summarizes
the proposed rule and other evaluated options, and presents a summary of economic analysis results.
Chapter A2: Need for the Regulation discusses the environmental impacts from operating CWIS and explains
the need for this regulatory effort.
Part B: Economic Analysis for Phase III Existing Facilities
Chapter Bl: Summary of Cost Categories and Key Analysis Elements for Existing Facilities summarizes the
cost categories included in the economic analyses for Phase III existing facilities and describes certain elements
of the analytic framework that are common to the economic analyses of Manufacturers and Electric Generators.
Chapter B2: Profile of Manufacturers presents profiles of the markets in which affected manufacturing facilities
operate (SIC codes 26, 28, 29, 331, and 333/335). Each manufacturing industry profile presents an outline of
domestic production, discusses market structure and competitiveness, summarizes industry-wide financial
performance and condition, and characterizes facilities potentially subject to regulation under Phase III.
Chapter B3: Economic Impact Analysis for Manufacturers presents an overview of the methodology used to
estimate the economic impacts incurred by Phase III manufacturing facilities under the proposed regulation and
provides the impact analysis results. The chapter describes the analytic framework used to assess severe and
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
moderate facility-level impacts associated with the proposed rule and other evaluated options. The chapter also
includes a discussion of firm- and market-level impacts.
Chapter B4: Profile of the Electric Power Industry presents a profile of the market in which potentially
regulated electric generators operate. The profile presents an industry overview, outlines domestic production in
terms of capacity, generation and domestic distribution, characterizes facilities potentially subject to Phase III
regulation, and presents an industry outlook.
Chapter B5: Economic Impact Analysis for Electric Generators assesses the expected economic effect on the
Electric Generator segment of the options evaluated in developing this proposed rule. This chapter (1) describes
the methodology used to estimate the private cost to Electric Generators potentially subject to regulation under
Phase III and presents summary cost statistics; (2) summarizes EPA's electricity market model analysis for
Electric Generators potentially subject to Phase III regulation and the electric power industry as a whole; and (3)
presents an additional assessment of the magnitude of compliance costs to Electric Generators, including a cost-
to-revenue analysis at the facility and firm levels, an analysis of compliance costs per household at the North
American Electric Reliability Council (NERC) level, and an analysis of compliance costs relative to electricity
price projections, also at the NERC level. The appendix to this chapter presents the detailed methodology and
results of EPA's electricity market model analysis.
Part C: Economic Analysis for Phase III New Offshore Oil and Gas Extraction Facilities
Chapter Cl: Summary of Cost Categories and Key Analysis Elements for New Offshore Oil and Gas
Extraction Facilities summarizes the cost categories included in the economic analyses for Phase III new
facilities and describes certain elements of the analytic framework of the economic analyses of new offshore oil
and gas extraction facilities.
Chapter C2: Profile of the Offshore Oil and Gas Extraction Industry presents a profile of existing offshore oil
and gas production platforms and mobile offshore drilling units (MODUs) and characterizes new facilities
subject to the proposed Phase III requirements. The profile summarizes the existing facilities, their associated
firms, and the financial conditions of those firms. The profile also projects the number and type of new facilities
estimated to begin operation over a twenty-year period.
Chapter C3: Economic Impact Analysis for the Offshore Oil and Gas Extraction Industry presents an
overview of the methodology used to estimate the economic impacts potentially incurred by new offshore oil and
gas extraction facilities under the proposed Phase III regulation and provides the impact analysis results. The
chapter assesses the potential impacts on MODUs, platforms, and firms, including a cost-to-revenue analysis at
the facility and firm levels. The chapter also presents a barrier-to-entry analysis for new facilities.
Part D: Additional Economic Analyses for Existing and New Facilities
Chapter Dl: Regulatory Flexibility Analysis presents EPA's estimates of small business impacts from the
proposed rule and other evaluated options.
Chapter D2: UMRA Analysis outlines the requirements for analysis under the Unfunded Mandates Reform Act
and present the results of the analysis for this proposed regulation.
Chapter D3: Other Administrative Requirements presents several other analyses conducted in developing this
proposed rule. These analyses address the requirements of Executive Orders and Acts applicable to this
proposal.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
Part E: Social Costs, Benefits, and Benefit-Cost Analysis for Existing and New Facilities
Chapter El: Summary of Social Costs presents the social costs of the proposed rule and other evaluated options,
including time profiles of direct facility costs and administrative costs.
Chapter E2: Summary of Benefits provides an overview of the regional studies used to support the benefits
assessment and a summary of the analyses. The chapter also presents the results of each regional study for the
proposed rule and other evaluated options. Finally, the chapter outlines the methodology used to extrapolate
regional study results to develop national estimates of baseline losses from impingement and entrainment at in-
scope facilities and presents monetized benefits.
Chapter E3: Comparison of Benefits and Social Costs compares total benefits to total social costs at the
national and regional levels for the proposed rule and other evaluated options. This chapter includes a discussion
of net benefits, an incremental analysis of net benefits, and a break-even analysis.
Al-21
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information Al: Introduction
REFERENCES
Clean Water Act (CWA). 33 U.S.C. 1251 et seq.
U.S. Department of Energy (U.S. DOE). 2001. Form EIA-860 (2001). Annual Electric Generator Report.
U.S. Environmental Protection Agency (U.S. EPA). 2004. Technical Development Document for the Proposed
Section 316(b) Rule for Phase III Facilities. EPA-821-R-04-015. November 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2002. Economic and Benefits Analysis for the Proposed
Section 316(b) Phase IIExisting Facilities Rule. EPA-821-R-02-001. April 2002. DCN 4-0002. Available at
http://www.epa.gOv/ost/316b/econbenefits.
U.S. Environmental Protection Agency (U.S. EPA). 2001. Economic Analysis of the Final Regulations
Addressing Cooling Water Intake Structures for New Facilities. EPA-821-R-01-035. November 2001.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Section 316(b) Industry Survey. Detailed Industry
Questionnaire: Phase II Cooling Water Intake Structures and Industry Short Technical Questionnaire: Phase II
Cooling Water Intake Structures, January, 2000 (OMB Control Number 2040-0213). Industry Screener
Questionnaire: Phase I Cooling Water Intake Structures, January, 1999 (OMB Control Number 2040-0203).
Al-22
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information A2: Need for the Regulation
Chapter A2: Need for the Regulation
INTRODUCTION „ „
CHAPTER CONTENTS
T.. ,. . . . , /-/-ivirroM A2-1 Description of Environmental Impacts from CWIS A2-1
Many cooling water intake structures (CWIS) have AT-,T T i fn * +• + ™, TTTT? -r+- *<•><•>
J & A2-2 Low Levels of Protection at Phase III Facilities .. A2-2
A2-2.1 Potential Phase III Existing Facilities .... A2-2
A2-2.2 Phase III New Facilities A2-4
A2-3 Reducing Adverse Environmental Impacts A2-5
A2-4 Addressing Market Imperfections A2-5
A2-5 Reducing Differences Between the States A2-6
A2-6 Reducing Transaction Costs A2-7
References A2-9
been constructed on sensitive aquatic systems with
capacities and designs that cause damage to the
waterbodies from which they withdraw water. In
addition, the absence of regulations that establish
national standards for best technology available
(BTA) has led to an inconsistent application of
section 316(b). In fact, only 67 out of 683 potential
Phase III existing facilities have indicated on EPA's
2000 Section 316(b) Industry Survey that they have
ever performed an impingement and entrainment (I&E) study (U.S. EPA, 2000).: In addition, EPA and the
Bureau of Land Management's Minerals Management Service (MMS) could only identify one case where the
potential environmental impacts of the CWIS of anew oil and gas extraction facility were considered (U.S. DOI,
2001). In a subsequent literature review, MMS did not find any information related to potential environmental
impacts or I&E controls for any existing oil and gas extraction facilities (U.S. DOI, 2004).
This chapter presents information that documents the need for this regulation.
A2-1 DESCRIPTION OF ENVIRONMENTAL IMPACTS FROM CWIS
The withdrawal of cooling water by Phase III existing facilities removes tens of billions of aquatic organisms
from waters of the United States each year, including plankton (small aquatic animals, including fish eggs and
larvae), fish, crustaceans, shellfish, sea turtles, marine mammals, and many other forms of aquatic life. Most
impacts are to early life stages offish and shellfish.
Aquatic organisms drawn into CWIS are either impinged on components of the intake structure or entrained in the
cooling water system (CWS) itself. Impingement takes place when organisms are trapped on the outer part of an
intake structure or against a screening device during periods of intake water withdrawal. Impingement is caused
primarily by hydraulic forces in the intake stream. Impingement can result in (1) starvation and exhaustion; (2)
asphyxiation when the fish are forced against a screen by velocity forces that prevent proper gill movement or
when organisms are removed from the water for prolonged periods; or (3) descaling and abrasion by screen wash
spray and other forms of physical damage.
Entrainment occurs when organisms are drawn into the intake water flow entering and passing through a CWIS
and into a CWS. Organisms that become entrained are those organisms that are small enough to pass through the
intake screens, primarily eggs and larval stages offish and shellfish. As entrained organisms pass through a
plant's CWS, they are subject to mechanical, thermal, and/or toxic stress. Sources of such stress include physical
impacts in the pumps and condenser tubing, pressure changes caused by diversion of the cooling water into the
plant or by the hydraulic effects of the condensers, sheer stress, thermal shock in the condenser and discharge
tunnel, and chemical toxemia induced by antifouling agents such as chlorine.
1 This number is sample-weighted and includes manufacturing facilities and electric generators only. Facilities estimated to be
baseline closures are excluded from this count and all analyses presented in this chapter. See Chapters B3 and B5 for additional
information on EPA's baseline closure analyses.
A2-1
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information A2: Need for the Regulation
Rates of I&E depend on species characteristics, the environmental setting in which a facility is located, and the
location, design, and capacity of the facility's CWIS. Species that spawn in nearshore areas, have planktonic eggs
and larvae, and are small as adults experience the greatest impacts, since both new recruits and reproducing adults
are affected (e.g., bay anchovy in estuaries and oceans). In general, higher I&E is observed in estuaries and near
coastal waters because of the presence of spawning and nursery areas. By contrast the young of freshwater
species are generally epibenthic and/or hatch from attached egg masses rather than existing as free-floating
individuals, and therefore freshwater species may be less susceptible to entrainment.
The likelihood of I&E also depends on facility characteristics. If the quantity of water withdrawn is large relative
to the flow of the source waterbody, a larger number of organisms will be affected. Intakes located in nearshore
areas tend to have greater ecological impacts than intakes located offshore, since nearshore areas are usually more
biologically productive and have higher concentrations of aquatic organisms (see Saila et al., 1997). EPA
estimates that CWIS used by the 683 existing Manufacturers and Electric Generators potentially subject to Phase
III regulation impinge and entrain millions of age 1 equivalent fish annually (see Table E2-1 in Chapter E2:
Summary of Benefits of this Economic Analysis report for further detail).
In addition to direct losses of aquatic organisms from I&E, a number of indirect, ecosystem-level effects may also
occur, including (1) disruption of aquatic food webs resulting from the loss of impinged and entrained organisms
that provide food for other species, (2) disruption of nutrient cycling and other biochemical processes, (3)
alteration of species composition and overall levels of biodiversity, and (4) degradation of the overall aquatic
environment. In addition to the impacts of a single CWIS on currents and other local habitat features,
environmental degradation can result from the cumulative impact of multiple intake structures operating in the
same watershed or intakes located within an area where intake effects interact with other environmental stressors.
Several factors drive the need for this proposed rule. Each of these factors is discussed in the following sections.
A2-2 Low LEVELS OF PROTECTION AT PHASE III FACILITIES
Facilities potentially subject to Phase III regulation use a wide variety of cooling water intake technologies to
maximize cooling system efficiency, minimize damage to their operating systems, and to reduce environmental
impacts. The following subsections present data on technologies that have been identified as effective in
protecting aquatic organisms from I&E. The first subsection present information for potential Phase III existing
facilities; the second subsection presents information for Phase III new facilities.
A2-2.1 Potential Phase III Existing Facilities
EPA used information from its 2000 Section 316(b) Industry Survey to characterize the 683 potential Phase III
manufacturing facilities and electric generators with respect to their CWS configuration, their CWIS technologies,
and their cooling system location.
a. CWS configuration and CWIS technologies
Closed-cycle cooling systems (e.g., systems employing cooling towers) are the most effective means of protecting
organisms from I&E. Cooling towers reduce the number of organisms that come into contact with a CWIS
because of the significant reduction in the volume of intake water needed by a closed-cycle facilities. Reduced
water intake results in a significant reduction in damaged and killed organisms. From the responses to the
Industry Survey, EPA estimates that 111 of the 566 manufacturing facilities (20%) and 86 of the 117 electric
generators (73%) potentially subject to regulation under Phase III operate closed-cycle cooling systems. These
facilities already meet the proposed requirements under all evaluated options and therefore would not need to
install additional compliance technologies. It is noteworthy that 97% of the potentially regulated Manufacturers
and Electric Generators with a closed-cycle system have a design intake flow (DIP) of less than 50 MGD. Many
of these facilities would have DIFs of greater than 50 MGD if they did not have closed-cycle systems. Electric
Generators with a DIP of 50 MGD or greater would have been subject to the final Phase II regulation.
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
A2: Need for the Regulation
Discussions with NPDES permitting authorities and utility officials identified fine mesh screens as an effective
technology for minimizing entrainment. They can, however, increase impingement. Data from the questionnaires
indicate that of the 683 potentially regulated Phase III existing facilities, 70 (10%) employed fine mesh screens on
at least one CWIS. These 70 facilities represented approximately 14% of the cooling water withdrawn from
surface waters by potentially regulated facilities.
Table A2-1 presents the estimated number of Manufacturers and Electric Generators, by DIP category, that
reported operating a closed-cycle system and other CWS configurations, respectively. For facilities that do not
operate a closed-cycle system, the table also presents the types of CWIS technologies these facilities employ.
Table A2-1: Estimated Number of Manufacturers and Electric Generators
by CWS Technology/Configuration and DIF Category
Design Intake Flow (MGD
CWIS lecnnology
Closed-Cycle Systems
Other CWS Configurations3
Trash Rack
Fine Mesh Screen
Other Intake Screen
Passive Intake System
Fish Diversion or Avoidance System
Fish handling and/or Return Technology
Velocity Cap
None
Total
<50
192
337
202
42
191
129
10
12
1
13
528
50-100
3
SO
68
11
55
17
7
3
3
-
82
100-200
2
39
36
3
35
4
-
2
-
-
42
200+
1
30
28
5
17
12
2
7
-
-
31
Total
198
485
333
61
299
163
19
24
4
13
683
a Some facilities with other CWS configurations have more than one CWIS technology in place. The numbers are therefore not
additive.
Source: U.S. EPA, 2000.
b. Cooling system location
Another effective approach for minimizing Adverse Environmental Impact (AEI) associated with CWIS is to
locate the intake structures in areas with low abundance of aquatic life, and to design the structures so that they do
not provide attractive habitat for aquatic communities. However, this approach is of little utility for existing
facilities where options for relocating intake structures are infeasible. Table A2-2 shows the estimated number of
potential Phase III existing facilities by the source of water from which cooling water is withdrawn. The table
indicates that 50 Phase III facilities are located on estuaries, tidal rivers, or oceans that are considered to be areas
of high productivity and abundance. In addition, estuaries are often nursery areas for many species. The average
annual intake flow of these facilities totaled 9% of the total cooling water being withdrawn by all potential Phase
III facilities. Seventy-seven facilities are located on one of the Great Lakes, accounting for approximately 21% of
average annual intake flow. The remaining 556 facilities (71% of flow) were reported as being located on fresh
waterbodies (including freshwater stream/rivers and lakes/reservoirs).
A2-3
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information A2: Need for the Regulation
Table A2-2: Estimated Number of Facilities and Share of Intake Flow by Source of Waterbody Type
Waterbody Type Number of Facilities Percent of Total Percent of Average Annual Intake Flow
Estuary/Tidal River 39 6% 8%
Ocean 11 2% 1%
Great Lake 77 11% 21%
Freshwater Stream/River 496 73% 66%
Lake/Reservoir 60 9% 5%
Total3 683 100% 100%
a Individual numbers may not add up to totals due to independent rounding.
Source: U.S. EPA, 2000.
A2-2.2 Phase III New Facilities
In general, oil and gas extraction facilities do not consider the potential environmental impacts of their CWISs.
EPA and the Bureau of Land Management's Minerals Management Service (MMS) could only identify one case
where the environmental impacts of a fixed offshore oil and gas extraction facility's CWIS were considered (U.S.
DOE, 2001). Although plans for the Liberty Island Project in Beaufort Sea, Alaska, were put on hold in January
2002 (FR, 2002), BP Exploration (Alaska) Inc. (BPXA) had plans to locate a vertical intake pipe for a seawater-
treatment plant on the south side of Liberty Island, Beaufort Sea, Alaska. The project would have had the
following specifications:
»• a vertical pipe with an opening of 8 feet by 5.67 feet, located approximately 7.5 feet below the mean low-
water level;
»• a continuous flush system discharge that pumps the seawater through the process-water system to prevent
ice formation and blockage;
»• recirculation pipes located just inside the opening to help keep large fish, other animals, and debris out of
the intake;
»• two vertically parallel screens (6 inches apart), located in the intake pipe above the intake opening, with a
mesh size of 1 inch by 1/4 inch;
»• maximum water velocity of 0.29 feet per second at the first screen and 0.33 feet per second at the second
screen (maximum velocities only during a few hours each week while testing the fire-control water
system - at other times, considerably lower velocities); and
*• periodical removal, cleaning, and replacement of the screens.
MMS stated in the Liberty Draft Environmental Impact Statement (which was prepared prior to BP's decision to
hold development plans) that the proposed seawater-intake structure would likely harm or kill some young-of-the-
year arctic cisco during the summer migration period and some eggs and fry of other species in the immediate
vicinity of the intake. However, MMS estimated that less than 1% of the arctic cisco in the Liberty area would
likely be harmed or killed by the intake structure. Further, MMS concluded that the intake structure (1) would not
have a measurable effect on young-of-the-year arctic cisco in the migration corridor and (2) would not have a
measurable effect on other fish populations because of the wide distribution/low density of their eggs and fry.
In general, the importance of controlling I&E at offshore oil and gas extraction facilities is highlighted by the fact
that these structures provide an important fish habitat. For example, oil and gas platforms and artificial reefs
undoubtedly serve as red snapper habitat, and they may serve as an important (but not obligate) link in the life
history of both juvenile and adult red snapper (Gulf of Mexico Fishery Management Council, 1996). In general,
five to 100 times more fish can be concentrated near offshore platforms than in the soft mud and clay habitats
elsewhere in the Gulf of Mexico (Fury, 2002). As a result, 70% of all fishing trips in the Gulf of Mexico head for
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information A2: Need for the Regulation
oil and natural gas platforms. Likewise, 30% of the 15 million fish caught by recreational fishermen every year
off the coasts of Texas and Louisiana come from the waters around platforms.
A2-3 REDUCING ADVERSE ENVIRONMENTAL IMPACTS
Multiple types of AEI result from CWIS, including: impingement and entrainment; reductions of threatened,
endangered, or other protected species; damage to ecologically critical aquatic organisms, including important
elements of the food chain; diminishment of a population's potential compensatory reserve; losses to populations,
including reductions of indigenous species populations, commercial fishery stocks, and recreational fisheries; and
stresses to overall communities or ecosystems as evidenced by reductions in diversity or other changes in system
structure or function.
Impingement occurs when fish are trapped against intake screens by the velocity of the intake flow. Organisms
may die or be injured as a result of:
*• starvation and exhaustion,
*• asphyxiation when velocity forces prevent proper gill movement,
*• abrasion by screen wash spray,
*• asphyxiation due to removal from water for prolonged periods, and
*• removal from the system by means other than returning them to their natural environment.
Small organisms are entrained when they pass through a plant's condenser cooling system. Injury and death can
result from the following:
*• physical impacts from pump and condenser tubing,
*• pressure changes caused by diversion of cooling water,
*• thermal shock experienced in condenser and discharge tunnels, and
*• chemical toxemia induced by the addition of anti-fouling agents such as chlorine.
The main purpose of this regulation is to minimize environmental impacts such as those described above. See
Part E: Social Costs, Benefits, and Benefit-Cost Analysis for Existing and New Facilities of this EA for
information on estimated reduction in I&E as a result of this proposed rule and alternative evaluated options. See
also the Regional Benefits Assessment for the Proposed Section 316(b) Rule for Phase III Facilities (U.S. EPA,
2004) for detailed information on baseline losses.
A2-4 ADDRESSING MARKET IMPERFECTIONS
Facilities withdraw cooling water from U.S. waters to support electricity generation, steam generation,
manufacturing, and other business activities, and, in the process impinge and entrain organisms without
accounting for the consequences of these actions on the ecosystem or other parties who do not directly participate
in the business transactions. The actions of these facilities impose harm or costs on the environment and on other
parties (sometimes referred to as third parties). These costs, however, are not recognized by the responsible
entities in the conventional market-based accounting framework. Because the responsible entities do not account
for these costs to the ecosystem and society, they are external to the market framework and the consequent
production and pricing decisions of the responsible entities. In addition, because no party is reimbursed for the
adverse consequences of I&E, the externality is uncompensated.
Business decisions will yield a less than optimal allocation of economic resources to production activities, and, as
a result, a less than optimal mix and quantity of goods and services, when external costs are not accounted for in
the production and pricing decisions of the section 316(b) industries. In particular, the quantity of AEI caused by
the business activities of the responsible business entities will exceed optimal levels and society will not
maximize total possible welfare. Adverse distributional effects may be an additional consequence of the
A2-5
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information
A2: Need for the Regulation
uncompensated environmental externalities. If the distribution of I&E and ensuing AEI is not random among the
U.S. population but instead is concentrated among certain population subgroups based on socio-economic or other
demographic characteristics, then the uncompensated environmental externalities may produce undesirable
transfers of economic welfare among subgroups of the population.
A2-5 REDUCING DIFFERENCES BETWEEN THE STATES
NPDES permitting authorities have implemented the requirements of section 316(b) in widely varying ways. The
language used in the statutes or regulations vary from State to State almost as much as the interpretation. Most
States do not address section 316(b) at all.
Table A2-3 illustrates a variety of ways in which States identify the section 316(b) requirements.
Table A2-3: Selected NPDES State Statutory/Regulatory Provisions Addressing Impacts
from Cooling Water Intake Structures
NPDES State
Citation
Summary of Requirements
Connecticut
RCSA § 22a, 430-4
Provides for coordination with other Federal/State agencies with jurisdiction over
fish, wildlife, or public health, which may recommend conditions necessary to avoid
substantial impairment of fish, shellfish, or wildlife resources
New Jersey
NJACS7:14A-11.6
Criteria applicable to intake structure shall be as set forth in 40 CFR Part 125, when
EPA adopts these criteria
New York
6 NYCRR S 704.5
The location, design, construction, and capacity of intake structures in connection
with point source thermal discharges shall reflect BTA for minimizing environmental
impact
Maryland
Illinois
MRC § 26.08.03
35 111. Admin. Code
306.201 (1998)
Detailed regulatory provisions addressing BTA determinations
Requirement that new intake structures on waters designated for general use shall be
so designed as to minimize harm to fish and other aquatic organisms
Iowa
567 IAC 62.4(455B)
Incorporates 40 CFR part 401, with cooling water intake structure provisions
designated "reserved"
California
Cal. Wat. Code
§ 13142.5(b)
Requirements that new or expanded coastal power plants or other industrial
installations using seawater for cooling shall use best available site, design
technology, and mitigation measures feasible to minimize intake and mortality of
marine life
Source: SAIC, 1994.
Additionally, in discussions with State and EPA regional contacts, EPA has found that States differ in the manner
in which they implement their section 316(b) authority. Some States and regions review section 316(b)
requirements each time an NPDES permit is reissued. These permitting authorities may reevaluate the potential
for impacts and/or the environment that influences the potential for impacts at the facility. Other permitting
authorities made initial determinations for facilities in the 1970s but have not revisited the determinations since.
Based on the above findings, EPA believes that approaches to implementing section 316(b) vary greatly. It is
evident that some authorities have regulations and other program mechanisms in place to ensure continued
implementation of section 316(b) and evaluation of potential impacts from CWIS, while others do not.
Furthermore, no mechanism currently exists to ensure consistency across all States. Section 316(b)
determinations are currently made on a case-by-case basis, based on permit writers' best professional judgment.
Through discussions with some State permitting officials (e.g., in California, Georgia, and New Jersey), EPA was
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information A2: Need for the Regulation
asked to establish national standards in order to help ease the case-by-case burden on permit writers and to
promote national uniformity with respect to implementation of section 316(b).
A2-6 REDUCING TRANSACTION COSTS
Transaction costs associated with the implementation of a regulation include: (1) determining the desired level of
environmental quality and (2) determining how to achieve it.
Transaction costs associated with determining the desired level of environmental quality have to do with the
supply and demand for environmental quality.
The presence of uncertainties increases transaction costs. Some uncertainties relate to the supply of
environmental quality (e.g., the actual impact of various control technologies in terms of the effectiveness of I&E
reductions); others relate to the demand for environmental quality (e.g., the value of reduced I&E in terms of
individual and population impacts). Reducing uncertainties would reduce transaction costs. Standardizing the
protocol for monitoring and reporting I&E impacts reduces the uncertainty about how to measure the impact of
controls, and provides for a uniform "language" for communicating these impacts. A Federal regulation that
establishes methods for mitigating the impact of regulatory uncertainty and information uncertainty produces a
benefit in the form of reduced (transaction) costs.
Another set of uncertainties is independent of the desired level of environmental quality. These uncertainties fall
into the broad categories of "regulatory uncertainty" and "information uncertainty." The costs related to these
uncertainties lead to "transaction costs," which cause inefficiencies in decision-making related to achieving a
given level of environmental quality. Regulatory uncertainty refers to the uncertainty that facilities face when
making business decisions in response to regulatory requirements when those requirements are uncertain. For
example, facilities are making business decisions today based on their best guess about what future regulation will
look like. The cost of this uncertainty comes in the form of delayed business decisions and poor business
decisions based on incorrect guesses about the future regulation. Information uncertainty refers to the uncertainty
related to the measurement and communication of the impact of controls on actual I&E, as well as the impact of
I&E on populations. The consequence of information uncertainty is poor decision-making by stakeholders
(suppliers and demanders of environmental quality) and a reduction in the cost-effectiveness of meeting a desired
level of environmental quality.
Transaction costs are incurred at several levels, including the States and Tribes authorized to implement the
NPDES program, the Federal government, and facilities subject to section 316(b) regulation.
Section 316(b) requirements are implemented through NPDES permits. Each State's, Tribe's, or region's burden
associated with permitting activities depends on their personnel's background, resources, and the number of
regulated facilities under their authority. Developing a permit requires technical and clerical staff to gather,
prepare, and review various documents and supporting materials, verify data sources, plan responses, determine
specific permit requirements, write the actual permit, and confer with facilities and the interested public.
Where States and Tribal governments do not have NPDES permitting authority, EPA implements section 316(b)
requirements through its regional offices.
Uncertainty about what constitutes AEI, and the BTA that would minimize AEI, also increases transaction costs
to facilities. Without well-defined section 316(b) requirements, facilities have an incentive to delay or altogether
avoid implementing I&E technologies by trying to show that their CWIS do not have impacts at certain levels of
biological organization, e.g., population or community levels. Some facilities thus spend large amounts of time
and money on studies and analyses without ever implementing technologies that would reduce I&E. Better
definition of section 316(b) requirements could lead to a better use of these resources by investing them in I&E
reduction rather than studies and analyses.
A2-7
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information A2: Need for the Regulation
A2-8
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information A2: Need for the Regulation
REFERENCES
Federal Register (FR). 2002. Volume 67, number 99, pages 36020-26022. May 22, 2002.
Fury, Sandra. ChevronTexaco. Statements before U.S. Commission on Ocean Policy. March 8, 2002.
Gulf of Mexico Fishery Management Council. 1996. Reef Fish Stock Assessment Panel - Review of 1996
Analysis by Galloway and Gazey. Pursuant to National Oceanic and Atmospheric Administration Award No.
NA67FC0002.
Saila, S.B., E. Lorda, J.D. Miller, R.A. Sher, and W.H. Howell. 1997. Equivalent adult estimates for losses of
fish eggs, larvae, and juveniles at Seabrook Station with use of fuzzy logic to represent parametric uncertainty.
North American Journal of Fisheries Management 17:811-825.
Science Applications International Corporation (SAIC). 1994. Preliminary Regulatory Development, Section
316(b) of the Clean Water Act, Background Paper Number 1: Legislative, Regulatory, and Legal History of
Section 316(b) and Information on Federal and State Implementation of Cooling Water Intake Structure
Technology Requirements. Prepared for U.S. Environmental Protection Agency. April 4, 1994.
U.S. Department of Interior (U.S. DOI). 2004. Minerals Management Service. Marine and Coastal Fishes
Subject to Impingement by Cooling-Water Intake Systems in the Northern Gulf of Mexico: An Annotated
Bibliography, OCS Study, MMS 2003-040. August 2003.
U.S. Department of Interior (U.S. DOI). 2001. Minerals Management Service. Liberty Development and
Production Plan Draft Environmental Impact Statement, OCS EIS/EA, MMS 2001-001. January 2001.
U.S. Environmental Protection Agency (U.S. EPA). 2004. Regional Benefits Assessment for the Proposed
Section 316(b) Rule for Phase III Facilities. EPA-821 -R-04-017. November 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Section 316(b) Industry Survey. Detailed Industry
Questionnaire: Phase II Cooling Water Intake Structures and Industry Short Technical Questionnaire: Phase II
Cooling Water Intake Structures, January, 2000 (OMB Control Number 2040-0213). Industry Screener
Questionnaire: Phase I Cooling Water Intake Structures, January, 1999 (OMB Control Number 2040-0203).
A2-9
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§ 316(b) Proposed Rule: Phase III-EA, Part A: Background Information A2: Need for the Regulation
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A2-10
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Bl: Summary of Costs
Chapter Bl: Summary of Cost Categories
and Key Analysis Elements for Existing
Facilities
INTRODUCTION
This chapter presents an overview of the cost
categories and certain elements of the analytic
framework that are common to the economic analyses
of the two major industry segments analyzed in
developing the proposed standards for Phase III
existing facilities: Manufacturers and Electric
Generators.
CHAPTER CONTENTS
Bl-l Cost Categories Bl-1
B1 -1.1 Cost of Installing and Operating
Compliance Technology Bl-1
Bl-1.2 Net Income Loss from Installation
Downtime Bl-2
Bl-1.3 Administrative Costs for Complying
Facilities Bl-3
Bl-1.4 Administrative Costs for Permitting
Authorities and the Federal
Government Bl-8
Bl-2 Key Elements of the Economic Analysis for
Phase III Existing Facilities Bl-9
B 1-2.1 Compliance Schedule Bl-9
Bl-2.2 Adjusting Monetary Values to a Common
Time Period of Analysis Bl-10
Bl-2.3 Discounting and Annualization- Costs to
Society or Societal Costs Bl-11
Bl-2.4 Discounting and Annualization - Costs to
Complying Facilities Bl-13
References Bl-16
Bl-1 COST CATEGORIES
In its analyses of the costs and economic impacts of the
proposed rule on Phase III existing facilities, EPA
considered four categories of costs:
1. costs of installing and operating compliance
technology,
2. net income loss from installation downtime,
3. administrative costs incurred by complying
facilities, and
4. administrative costs incurred by permitting authorities.
The following discussion provides an overview of each of these cost categories, addressing those aspects of each
categories that is common to the analyses of Manufacturers and Electric Generators. This discussion provides
greater depth in its treatment of the two administrative cost categories as the application of these two categories is
essentially the same for both industry segments. Additional detail on the costs of installing and operating
compliance technology and the net income loss from installation downtime is provided in the Technical
Development Document for the Proposed Section 316(b) Rule for Phase III Facilities (hereafter referred to as the
"Phase III Technical Development Document"; U.S. EPA, 2004b) and Chapters B3: Economic Impact Analysis
for Manufacturers and 55: Economic Impact Analysis for Electric Generators.
It should be noted that this chapter addresses cost components relevant for the proposed rule as well as other
options analyzed in developing this proposal. As a result, some of the concepts are not relevant to the three
proposed options for existing facilities, which do not regulate Electric Generators.
Bl-1.1 Costs of Installing and Operating Compliance Technology
Facilities that are not currently in compliance with the performance standards for Phase III existing facilities
would need to implement technologies to reduce impingement mortality and/or entrainment. The specific
technologies projected by EPA for the analyzed facilities depend on the performance standard each facility would
need to meet (based on the waterbody type, design intake flow, capacity utilization, and annual intake flow as a
percent of source waterbody mean annual flow) and the facility's baseline technologies in-place. A list of the
technologies considered for this analysis is provided in Table Bl-1 below.
Bl-1
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
EPA then developed technology cost estimates for the proposed rule based on the impingement mortality and
entrainment reduction technologies projected for each potential existing Phase III facility. Technology costs
include capital costs and operating and maintenance (O&M) costs. The annual O&M cost estimates used in the
cost modules are the net O&M costs, which are defined as the difference between the estimated baseline O&M
costs and the incremental compliance O&M costs. O&M costs are further differentiated into fixed and variable
O&M costs. Fixed O&M costs do not vary with the level of production (i.e., they are incurred even when a
business unit is periodically shut down). EPA assumes any periodic maintenance tasks (e.g., changing screens,
changing nets, or inspection/cleaning by divers) are performed regardless of plant operation, and therefore are
considered fixed costs. Variable O&M costs do vary with the level of production and are allocable based on
estimated intake operating time (e.g., annual labor estimates for passive screens include increased labor for
several weeks during high debris episodes). The actual fixed and variable portions of O&M costs for each facility
may vary depending on the mix of baseline and compliance technologies. The technology costs developed for the
proposed rule analysis are engineering cost estimates, expressed in July 2002 dollars (see Section Bl-2.2 below
for a discussion of adjusting monetary values to a common time period of analysis).
More detailed information on the compliance technologies considered by EPA, on technology costs, and on
EPA's characterization of baseline technologies already in-place at potential Phase III existing facilities is
available in the Phase III Technical Development Document (U.S. EPA, 2004b).
Bl-1.2 Net Income Loss from Installation Downtime
Installation of some of the compliance technologies considered for potential Phase III existing facilities would
require a one-time, temporary downtime of the facility's cooling water intake system. Table Bl-1, below, lists the
estimated durations of net system downtime, in weeks, for each of the compliance technology modules considered
for compliance with the proposed standards. The lower end of the range is used at lower flow rates.
Table Bl-1: Estimated Average Downtime for Technology Modules
Description Net Downtime (Weeks)
Fish handling and return system 0
Fine mesh traveling screens with fish handling and return 0
New larger intake structure with fine mesh, handling and return 2-4
Passive fine mesh screens with 1.75 mm mesh size at shoreline 9-11
Fish barrier net 0
Relocate intake to submerged offshore with passive fine mesh screen with 1.75 mm mesh size 9-11
Velocity cap at inlet of offshore submerged 0
Passive fine mesh screen with 1.75 mm mesh size at inlet of offshore submerged 0
Double-entry, single-exit with fine mesh and fish handling and return 0
Passive fine mesh screens with 0.75 mm mesh size at shoreline 9-11
Relocate intake to submerged offshore with passive fine mesh screen with 0.75 mm mesh size 0
Passive fine mesh screen at inlet of offshore submerged with 0.75 mm mesh size 9-11
Source: U.S. EPA Analysis, 2004.
The "net" downtime duration accounts for any expected annual period of cooling water system downtime for
regular maintenance and repair - the net downtime is the number of weeks the cooling water system would need
to be out of service above and beyond any regular maintenance downtime period. EPA assumed that facilities
would minimize the disruption to their operations by making the required technology upgrades during these
periods of scheduled maintenance. Scheduled maintenance periods can range from several weeks to several
Bl-2
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
months, depending on the type of facility and the specific maintenance requirements.1 Therefore, by scheduling
the technology upgrades during maintenance periods, facilities could minimize the net impact of their system
changes. For the purposes of this analysis, the Agency assumed that the typical scheduled annual maintenance
downtime would be four weeks.
During the downtime period, the facility's cooling-water dependent operations would most likely be halted, with
a potential loss of revenue and income from those operations. Accordingly, a key element of the cost to facilities
in complying with the proposed standards for Phase III existing facilities is the loss in income from installation
downtime. In the facility impact analyses, EPA accounted for the cost of installation downtime as the loss in pre-
tax income in the facility's affected business operations. The cost of installation downtime is accounted for as a
loss in revenue offset by a reduction in variable costs in the affected business operation plus any increase in
operating costs due to temporary removal of the cooling water intake system from service.
The cost and impact analysis discussions for the two major industry segments potentially affected by the proposed
standards for Phase III existing facilities provide additional detail on the calculation of the cost of installation
downtime (see Chapters B3 and B5).
Bl-1.3 Administrative Costs for Complying Facilities
Compliance with the standards of the proposed rule requires Phase III existing facilities to carry out certain
administrative functions, which help them determine their compliance requirements and provide the
documentation needed for issuance of their new National Pollution Discharge Elimination System (NPDES)
permits. These administrative functions are either one-time requirements (compilation of information for the
initial post-promulgation NPDES permit) or recurring requirements (compilation of information for subsequent
NPDES permit renewals; and monitoring, record keeping, and reporting).
a. Initial post-promulgation NPDES permit application
The proposed rule requires Phase III existing facilities to submit information regarding the location, construction,
design, and capacity of their existing or proposed cooling water intake structures, technologies, and operational
measures, as part of their initial post-promulgation NPDES permit applications. Some of these activities would be
required under the current case-by-case cooling water intake structure (CWIS) permitting procedures, regardless
of the proposed standards for Phase III existing facilities, but are still included in EPA's compliance cost estimate;
therefore, the permitting costs presented in this economic analysis may be overestimated. Activities and costs
associated with the initial permit renewal application include:
*• Start-up activities: reading and understanding the rule; mobilizing and planning; and training staff.
*• Permit application activities: developing a statement of the compliance option selected; developing
drawings that show the physical characteristics of the source water; developing a description of the CWIS
configuration and location; developing a facility water balance diagram; developing a narrative of CWIS
and cooling water system (CWS) operational characteristics; performing engineering calculations;
submitting materials for review by the Director; and keeping records.
In addition, the initial permit renewal application requires some facilities to conduct a comprehensive
demonstration study.2 The comprehensive demonstration study is a broad set of activities meant to: (1)
characterize the source water baseline in the vicinity of the intake structure(s); (2) characterize operation of the
cooling water intake(s); and (3) confirm that the technology(ies), operational measures, and restoration measures
proposed and/or implemented at the CWIS meet the applicable performance standards. The following activities
are associated with the comprehensive demonstration study portion of the initial permit application:
1 For a discussion of scheduled maintenance outages, see the Phase III Technical Development Document.
2 For more information on the Comprehensive Demonstration Study, please refer to EPA's Information Collection Request (U.S.
EPA, 2004a).
Bl-3
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
*• Proposal for collection of information for comprehensive demonstration study: describing historical
studies that would be used; describing the proposed and/or implemented technologies, operational
measures, and restoration measures to be evaluated; developing a source water sampling plan; submitting
data and the plan for review; revising the plan based on State review; and keeping records;
*• Source waterbody flow information: gathering information to characterize flow (for freshwater
rivers/streams only); developing a description of the thermal stratification of the waterbody (for
lakes/reservoirs only); performing engineering calculations; submitting data for review; and keeping
records;
*• Design and construction technology plan: delineating hydraulic zone of influence; developing narrative
descriptions of technologies; performing engineering calculations; submitting the plan for review; and
keeping records;
*• Impingement mortality and/or entrainment characterization study: performing biological sampling;
performing impingement and entrainment monitoring; conducting laboratory analyses; profiling source
water biota; identifying critical species; developing a description of additional stresses; developing a
report based on study results; revising the report based on State review; and keeping records;
*• Verification monitoring plan: developing a narrative description of the frequency of monitoring,
parameters to be monitored, and the basis for determining the parameters and frequency and duration of
monitoring; submitting data and a plan for review; revising the plan based on State review; and keeping
records.
Finally, Phase III existing facilities would have to submit a plan that describes the installation, operation, and
maintenance, of the technology(ies) proposed and/or implemented at the CWIS(s):
*• Technology installation and operation plan: developing an installation and maintenance schedule;
describing the proposed monitoring parameters; listing the technology efficacy assessment activities;
developing a schedule and methodology for efficacy assessment activities; submitting plan for review;
and keeping records.
Table Bl-2 below lists the estimated maximum costs of each of the initial post-promulgation NPDES permit
application activities described above. The specific activities that a facility would have to undertake depend on
the facility's source water body type, whether it exceeds the capacity utilization rate (applicable to Electric
Generators only) and proportional flow thresholds, and its baseline technologies in-place. Certain activities are
expected to be more costly for marine facilities than for freshwater facilities.3 Some activities would be required
of all facilities, while other activities would be required only if the facility exceeds the capacity utilization rate or
proportional flow thresholds.
The table shows that certain Phase III existing facilities only have to carry out a minimal set of permitting
requirements (i.e., start-up activities and permit application activities). Facilities with such minimal requirements
include (1) facilities that have recirculating systems in the baseline and (2) facilities that already have or are
required to install certain pre-approved technologies (including cylindrical wedgewire screens) and that only have
to comply with impingement requirements. Freshwater facilities that would have to meet both impingement and
entrainment standards and that already have or are required to install a pre-approved technology have to develop a
technology installation and operation plan and a verification monitoring plan in addition to the minimal activities.
The maximum initial permitting cost is estimated to be approximately $985,000 for a facility that would have to
meet both impingement and entrainment standards and that withdraws from a marine waterbody.
3 For permitting requirements, marine facilities include those withdrawing from the Great Lakes.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Bl: Summary of Costs
Table Bl-2: Cost of Initial Post-Promulgation NPDES Permit Application Activities (2003$)
Activity
Start-up activities11
Permit application
activities3
Proposal for collection
of information for
comprehensive
demonstration studyb
Source waterbody flow
information3
Design and construction
technology plan3
Impingement mortality
and/or entrainment
characterization study0
Technology installation
and operation plan3
Verification monitoring
plan3
Total Initial Post-
Promulgation NPDES
Permit Application
Cost"
Estimated Cost per Permit
Minimal
Require-
ments
$2,000
$10,000
$0
$0
$0
$0
$0
$0
$13,000
Freshwater
Pre-
Appr.
with I&E
$2,000
$10,000
$0
$0
$0
$0
$2,000
$6,000
$21,000
I-only
$2,000
$10,000
$13,000
$4,000
$3,000
$354,000
$2,000
$6,000
$395,000
E-only
$2,000
$10,000
$13,000
$4,000
$3,000
$408,000
$2,000
$6,000
$449,000
I&E
$2,000
$10,000
$13,000
$4,000
$4,000
$513,000
$2,000
$6,000
$555,000
Marine (incl. Great
I-only E-only
$2,000 $2,000
$10,000 $10,000
$13,000 $13,000
$0 $0
$3,000 $3,000
$641,000 $747,000
$2,000 $2,000
$6,000 $6,000
$679,000 $784,000
Lakes)
I&E
$2,000
$10,000
$13,000
$0
$4,000
$946,000
$2,000
$6,000
$985,000
3 The costs for these activities are incurred during the year prior to the permit application.
b The costs for these activities are incurred during one year, three years prior to the permit application.
c The costs for these activities are incurred during the three years prior to the permit application.
d Individual numbers may not add to total due to independent rounding.
Key to permitting types:
Minimal requirements
Pre-appr. with I&E
I-only
E-only
I&E
Has recirculating systems in the baseline; or already has or is required to install a pre-approved
technology and only has to comply with impingement requirements.
Already has or is required to install a pre-approved technology and has to comply with impingement
and entrainment requirements.
Only has to comply with impingement requirements.
Only has to comply with entrainment requirements.
Has to comply with both impingement and entrainment requirements.
Source: U.S. EPA, 2004a.
Another potential cost associated with the initial NPDES permit is pilot studies of compliance technologies.
Facilities carry out pilot studies to determine if the compliance technology would function properly when
installed and operated. EPA assumed that any facility with both I&E requirements would consider doing a pilot
study, except if (1) the technology is sufficiently inexpensive to install ($500,000 or less) or (2) the technology is
such that a scaled down version is infeasible. EPA further assumed that a pilot study would cost either $150,000
or 10% of technology installation costs, whichever is greater. Activities associated with pilot studies include:
*• Deploying the pilot technology: installing an intake pipe separate from the facility's actual cooling water
system, but in the vicinity of the operating CWIS; installing the proposed technology to feed into the
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
separate intake pipe; and pumping water through the intake pipe under various pumping scenarios and
seasonal conditions;
*• Monitoring efforts: collecting five samples over a 24 hour period, every two weeks for six months;
*• Evaluation of data: analyzing the data; summarizing the results; and using this information to evaluate
the effectiveness of the technology.
In addition to the activities described above, some facilities are expected to conduct a site-specific determination
of Best Technology Available (BTA). Since activities associated with site-specific determinations are voluntary
and would only be conducted if the facilities expected them to be less expensive than complying with the
requirements for Phase III existing facilities, EPA did not include site-specific determination costs in its
compliance cost estimates. The initial permitting activities associated with site-specific determinations are:
*• Information to support site-specific determination of BTA: performing a comprehensive cost evaluation
study; developing valuation of monetized benefits of reducing impingement and entrainment; evaluating
detailed mortality data; performing engineering calculations and drawings; submitting results for review;
and keeping records;
*• Site-specific technology plan: describing selected technologies, operational measures, and restoration
measures; documenting that technologies, operational measures, or restoration measures are optimal;
performing design calculations and preparing drawings and estimates; performing engineering
calculations, including estimates of the efficacy of the proposed and/or implemented technologies,
operational measures, or restoration measures; submitting results for review; and keeping records.
b. Subsequent NPDES permit renewals
Each facility would have to apply for NPDES permit renewal every five years. Subsequent permit renewal
applications would require collecting and submitting the same type of information required for the initial permit
renewal application. EPA expects that facilities can use some of the information from the initial permit
application. Building upon existing information is expected to require less effort than developing the data the first
time, especially in situations where conditions have not changed.
Table Bl-3 lists the maximum estimated costs of each of the NPDES repermit application activities. The specific
activities that a facility would have to undertake depend on the facility's source water body type, whether it
exceeds the capacity utilization rate (applicable to Electric Generators only) and proportional flow thresholds, and
its baseline technologies in-place. Certain activities are expected to be more costly for marine facilities than for
freshwater facilities. Some activities would be required of all facilities, while other activities would be required
only if the facility exceeds the capacity utilization rate or proportional flow thresholds. The maximum
repermitting cost is estimated to be approximately $334,000 for a facility that would have to meet both
impingement and entrainment standards and that withdraws from a marine waterbody.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Bl: Summary of Costs
Table Bl-3: Cost of NPDES Repermit Application Activities3 (2003$)
Activity
Start-up activities
Permit application
activities
Proposal for collection
of information for
comprehensive
demonstration study
Source waterbody flow
information
Design and construction
technology plan
Impingement mortality
and/or entrainment
characterization study
Technology installation
and operation plan
Total Initial Post-
Promulgation NPDES
Permit Application
Cost"
Estimated Cost per Permit
Minimal
Require-
ments
$1,000
$6,000
$0
$0
$0
$0
$0
$7,000
Freshwater
Pre-
Appr.
with I&E
$1,000
$6,000
$0
$0
$0
$0
$1,000
$9,000
I-only
$1,000
$6,000
$3,000
$1,000
$1,000
$139,000
$1,000
$154,000
E-only
$1,000
$6,000
$3,000
$1,000
$1,000
$170,000
$1,000
$185,000
I&E
$1,000
$6,000
$3,000
$1,000
$1,000
$172,000
$1,000
$188,000
Marine (incl. Great
I-only E-only
$1,000 $1,000
$6,000 $6,000
$3,000 $3,000
$0 $0
$1,000 $1,000
$255,000 $316,000
$1,000 $1,000
$269,000 $329,000
Lakes)
I&E
$1,000
$6,000
$3,000
$0
$1,000
$320,000
$1,000
$334,000
a The costs for these activities are incurred during the year prior to the permit application.
b Individual numbers may not add to total due to independent rounding.
Key to permitting types:
Minimal requirements
Pre-appr. with I&E
I-only
E-only
I&E
Has recirculating systems in the baseline; or already has or is required to install a pre-approved
technology and only has to comply with impingement requirements.
Already has or is required to install a pre-approved technology and has to comply with impingement
and entrainment requirements.
Only has to comply with impingement requirements.
Only has to comply with entrainment requirements.
Has to comply with both impingement and entrainment requirements.
Source: U.S. EPA, 2004a.
c. Annual monitoring, record keeping, and reporting
Annual monitoring, record keeping, and reporting activities and costs include:
*• Biological monitoring for impingement: collecting monthly samples for at least two years after the initial
permit issuance; analyzing samples; performing statistical analyses; and keeping records;
*• Biological monitoring for entrainment: collecting biweekly samples during the primary period of
reproduction, larval recruitment, and peak abundance for at least two years after the initial permit
issuance; handling and preparing samples; conducting laboratory analyses; performing statistical
analyses, and keeping records;
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Bl: Summary of Costs
*• Bi-annual status report activities: reporting on inspection and maintenance activities; detailing biological
monitoring results; compiling and submitting the report; and keeping records; (these activities are
conducted every two years, instead of annually);
*• Verification study: conducting technology performance monitoring; performing statistical analyses;
submitting monitoring results and study analysis; and keeping records;
Table Bl-4 lists the estimated costs of each of the monitoring, record keeping, and reporting activities described
above. Certain activities are expected to be more costly for marine facilities than for freshwater facilities. The
maximum annual cost is estimated to be approximately $82,000 for a facility that would have to meet both
impingement and entrainment standards and that withdraws from a marine waterbody.
Table Bl-4: Cost of Annual Monitoring, Record Keeping, and Reporting Activities (2003$)
Estimated Cost per Permit
Activity
Biological monitoring
for impingement
Biological monitoring
for entrainment
Bi-annual status report
activities3
Total Annual
Monitoring, Record
Keeping, and
Reporting Cost
Verification studya
Minimal
Require-
ments
$0
$0
$0
so
$0
Freshwater
Pre-
Appr.
with I&E
$0
$39,000
$9,000
$47,000
$7,000
I-only
$19,000
$0
$9,000
$28,000
$7,000
E-only I&E
$0 $19,000
$39,000 $39,000
$9,000 $9,000
$47,000 $66,000
$7,000 $7,000
Marine
I-only
$24,000
$0
$9,000
$33,000
$7,000
(incl. Great
E-only
$0
$49,000
$9,000
$58,000
$7,000
Lakes)
I&E
$24,000
$49,000
$9,000
$82,000
$7,000
a This is a cost that is incurred once every two years. Therefore, only half of the total report cost of approximately $ 17,000 is
accounted for in this annual framework.
b This is a one-time cost incurred during the year of compliance.
Key to permitting types:
Minimal requirements
Pre-appr. with I&E
I-only
E-only
I&E
Has recirculating systems in the baseline; or already has or is required to install a pre-approved
technology and only has to comply with impingement requirements.
Already has or is required to install a pre-approved technology and has to comply with impingement
and entrainment requirements.
Only has to comply with impingement requirements.
Only has to comply with entrainment requirements.
Has to comply with both impingement and entrainment requirements.
Source: U.S. EPA, 2004a.
Bl-1.4 Administrative Costs for Permitting Authorities and the Federal Government
In addition, permitting authorities have to review the information provided by Phase III existing facilities and
have to issue new NPDES permits that reflect the requirements of the proposed rule. These activities impose
costs on the responsible governmental units.
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
The requirements of section 316(b) are implemented through the National Pollutant Discharge Elimination
System (NPDES) permit program. Forty-five States and one Territory currently have NPDES permitting
authority under section 402(c) of the Clean Water Act (CWA). EPA estimates that States and Territories would
incur three types of costs associated with implementing the requirements of the proposed rule: (1) start-up
activities, (2) permitting activities associated with the initial NPDES permit containing the new section 316(b)
requirements and subsequent permit renewals, and (3) annual activities.4
Start-up costs are incurred only once by each of the 46 permitting authorities. Permitting costs and annual
activities are incurred for every permit. The incremental administrative burden on States would depend on the
extent of each State's current practices for regulating cooling water intake structures (CWIS). States that
currently require relatively modest analysis, monitoring, and reporting of impacts from CWIS in NPDES permits
may require more permitting resources to implement the proposed standards for Phase III existing facilities than
are required under their current programs. Conversely, States that currently require very detailed analysis may
require fewer permitting resources to implement the proposed rule than required under their current programs.
In addition to costs to permitting authorities, the Federal government is likely to incur costs to review those parts
of NPDES permits associated with the compliance requirements of this rule and to ensure that the permitting
authorities are implementing the rule properly.
For a detailed discussion of administrative costs for permitting authorities and the Federal government, see
Chapter D2: UMRA Analysis, section D2-1.2.
Bl-2 KEY ELEMENTS OF THE ECONOMIC ANALYSIS FOR PHASE III EXISTING FACILITIES
The economic analysis conducted in developing the proposed requirements for Phase III existing facilities
addresses the cost to, and impact on, the affected industry segments and society generally. Although these
analyses differ in important respects for the individual industry segments - particularly in terms of the analytic
models and methods for assessing the economic/financial impact on complying parties within the segments -
several elements of the analysis have features common to all Phase III existing facilities. This section reviews the
following key common elements:
*• Compliance Schedule
*• Adjusting Monetary Values to a Common Time Period of Analysis
*• Discounting and Annualization: Costs to Society or Social Costs
*• Discounting and Annualization: Costs to Complying Facilities
Bl-2.1 Compliance Schedule
For its analysis of the cost and impacts of the proposed rule, EPA developed a profile of the expected compliance
year for each of the sample facilities considered in the economic analysis. The estimated compliance years of
facilities are important for several reasons:
*• First, the compliance years determine the timing of outlays by facilities and society in complying with the
regulation, both for the initial outlays and for the ongoing profile of outlays in maintaining compliance
with the regulation. This information is important in properly assessing the present value of the
regulation's costs to society.
*• Second, the profile of compliance is likewise important in understanding the time profile, and thus present
value, of benefits achieved by compliance with the regulation. Explicit analysis of the compliance
4 The costs associated with implementing the requirements for Phase III existing facilities are documented in EPA's Information
Collection Request (U.S. EPA, 2004a).
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
schedule is particularly important for the benefits analysis because the regulation's benefits are not
achieved instantly upon facilities' reaching compliance, but build up over a period of several years.
Accordingly, EPA also used the compliance schedule developed for the cost and impact analysis in
developing the time profile of benefits.
*• Third, for Electric Generators, a high concentration of facilities out of service for technology upgrades in
the same region and at the same time could lead to temporary energy effects in that region. Thus, in
analyzing the potential electricity supply reliability and electricity market effects of those options under
which Electric Generators would be subject to Phase III regulation, EPA accounted for the expected
compliance years of Electric Generators.
EPA initially assumed that facilities would comply with the proposed requirements during the year their first post-
promulgation NPDES permit is issued (based on a 5-year permit cycle, this would be 2007 to 2011). However,
since some of the permitting requirements need to be performed over a three-year period prior to compliance,
facilities that would be renewing NPDES permits within the first three years after promulgation of the final Phase
III rule (2007 to 2009) would not comply until their second post-promulgation NPDES permit is issued (2012 to
2014). From these assumptions, EPA estimates that all facilities come into compliance between 2010 and 2014.
Following research on when sample facilities' current NPDES permits would expire and thus need to be renewed,
EPA developed an explicit compliance schedule for all Phase III existing facilities in the analysis.
Bl-2.2 Adjusting Monetary Values to a Common Time Period of Analysis
The various economic information used in the cost and impact analyses was initially provided or estimated in
dollars of different years. For example, facility financial data obtained in the 316(b) survey for Manufacturers
and Electric Generators are for the years 1996, 1997, and 1998, while the technology costs of regulatory
compliance were estimated in dollars of the year 2002. To support a consistent analysis using these data that were
initially developed in dollars of different years, EPA needed to bring the dollar values to a common analysis year.
For this analysis, EPA adjusted all dollar values to constant dollars of the year 2003 (average or mid-year,
depending on data availability) using an appropriate inflation adjustment index. For adjusting compliance costs,
EPA used the Construction Cost Index (CCI) published by the Engineering News-Record. For financial
statement information, EPA used the Gross Domestic Product Implicit Price Deflator (GDP Deflator) to
bring dollar values to 2003. In some instances, EPA used the Producer Price Index series particular to a specific
industry to adjust values to a common analysis year.
a. CCI
EPA used the CCI to adjust compliance cost estimates from July 2002 to mid-year (June) 2003. EPA judges the
CCI as generally reflective of the cost of installing and operating process and treatment equipment such as would
be required for compliance with the options considered for this regulation. Table Bl-5 shows CCI values for
July, 2002 and June, 2003.
Table Bl-5: Construction Cost Index
Year Value % Change
My 2002 6605
June 2003 6694 1.3%
Source: ENR, 2004.
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
b. GDP Deflator
EPA used the GDP Deflator to adjust 316(b) survey financial data from 1996-1998 to 2003. The GDP Deflator is
a quarterly series that measures the implicit change in prices, over time, of the bundle of goods and services
comprising gross domestic product. Table Bl-6 shows GDP Deflator values from 1996 to 2003. From 1998 to
2003, the total change in the deflator series was 9.5% (105.7/96.5).
Table Bl-6: GDP Deflator Series
Year
1996
1997
1998
1999
2000
2001
2002
2003
Source: U.S.
Value
93.9
95.4
96.5
97.9
100.0
102.4
103.9
105.7
DOC, 2004.
% Change
1.7%
1.1%
1.4%
2.2%
2.4%
1.5%
1.6%
Bl-2.3 Discounting and Annualization - Costs to Society or Social Costs
Discounting refers to the economic conversion of future costs (and benefits) to their present values, accounting for
the fact that society tends to value future costs or benefits less than comparable near-term costs or benefits.
Discounting is important when the values of costs or benefits occur over a multiple year period and may vary
from year to year. Discounting is also important when the time profiles of costs and benefits are not the same -
which is the case for the regulatory analysis of Phase III existing facilities. Discounting enables the accumulation
of the cost and benefit values from multiple years at a single point in time, accounting for the difference in how
society values those costs and benefits depending on the year in which the values are estimated to occur.
To estimate the social costs of options considered in developing the proposed requirements for Phase III existing
facilities, EPA first developed a profile, over the period of analysis, of the compliance costs associated with each
option. EPA defined the period of analysis as starting with the assumed date the final rule would take effect,
beginning of year 2007, and extending through the latest year in which any affected facility is assumed to reach
compliance (2014) plus a period of 30 years in which facilities are assumed to continue compliance. Thus, for the
social cost analysis for Phase III existing facilities, the analysis period extends to 2043. In developing the time
profile of costs, EPA assigned costs according to the following schedule:
»»» Direct Costs of Regulatory Compliance
*• Capital Costs of Compliance Technology: This cost is first incurred in the year that the facility's first
post-promulgation permit is issued. However, the equipment for complying with the regulation is
expected to have a useful life of 10 years, or a period shorter than the 3 0 years of compliance.
Accordingly, following the first installation, facilities are assumed to reinstall, and re-incur the cost of, the
compliance equipment at year 11 and year 21 of the facility-specific compliance period.
*• Cost of Installation Downtime: This cost is incurred in the year that the facility installs the technology.
Although the compliance technology must be reinstalled at a 10-year interval over the analysis period, the
engineering analysis of compliance requirements indicates that facilities would not need to incur
additional installation downtime for reinstallation of the compliance technology equipment.
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
*• Compliance Technology Operation and Maintenance: This cost is assumed to occur in each year of a
facility's 30-year compliance period.
*• Pilot Study: Pilot study costs are incurred one year before the facility's first post-promulgation permit is
issued.
»»» Administrative Costs Incurred by Complying Facilities
*• Impingement Mortality and Entrainment Characterization Study: All facilities conduct this two- or
three-year study except those that already have recirculating systems in the baseline and those that already
have or are installing a pre-approved technology. The cost of this study is incurred over the years
immediately preceding the facility's first post-promulgation permit, but not including the first year of
compliance. Facilities withdrawing from a marine waterbody (including the Great Lakes) are required to
do a three-year study; facilities withdrawing from a freshwater body are required to do a two-year study.
*• Initial Permitting Cost: In addition to incurring the cost of characterization studies, complying facilities
would also incur an initial permitting cost, which is assigned to the first year of a facility's 30-year
compliance period.
*• Repermitting Costs: As explained above, facilities would need to renew their NPDES permits each five
years during the period of compliance. Repermitting costs are assumed to recur at years 5, 10, 15, 20, and
25 of a facility's 30-year compliance year period. If a facility were to continue compliance beyond the
assumed 30-year compliance period, it would incur an additional round of repermitting costs in year 30 of
the compliance period. However, these costs would be incurred to support compliance in years beyond
the 30th year of compliance, and were therefore not accounted for in this analysis.
*• Annual Monitoring, Record Keeping, and Reporting Activities: This cost is assumed to occur in each
year of the 30-year compliance year period.
»»» Administrative Costs Incurred by Permitting Authorities
*• One-time Start-up Costs: This cost is assigned to the year the rule would take effect (2007).
*• Permit Processing Costs: These costs are assigned to the years in which facilities apply for initial permits
or renewal permits during the compliance period.
*• Annual Permit Administration Activities: The cost of these activities is assumed to occur in parallel with
the annual permit-related activities by complying facilities and thus occurs in each year of a facility's
compliance period.
»»» Administrative Costs Incurred by the Federal Government
*• Permit Review: The Federal government is assumed to review the first permit for each Phase III existing
facility that would include the new 316(b) requirements specified in this rule. Federal administrative
costs would therefore be incurred between 2010 and 2014.
For each option analyzed, EPA assigned costs by facility and governmental unit according to this framework and
then summed these costs on a year-by-year basis over the total time period of analysis. For the social cost
analysis, these costs were tallied on a pre-tax basis, which differs from the treatment of costs for the facility
impact analysis as described below. These profiles of costs by year were then discounted to the assumed date the
final rule would take effect, beginning of year 2007, at two values of the social discount rate, 3% and 7%. These
Bl-12
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
discount rate values reflect guidance from the Office of Management and Budget regulatory analysis guidance
document, Circular A-4 (OMB, 2003).5
EPA used the following formula to calculate the present value of the time stream of costs as of the beginning of
2007:6
Costt
Present Value =
(1 + r)'-2007
where:
Costj = Costs in year t
r = Social discount rate (3% and 7%)
t = Year in which cost is incurred (2007 to 2043)
After calculating the present value (PV) of these cost streams, EPA calculated their constant annual equivalent
value (annualized value) using the annualization formula presented below, again using the two values of the social
discount rate, 3% and 7%. Although the analysis period extends from 2007 through 2043, a period of 37 years,
EPA annualized costs over 30 years, since 30 years is the assumed period of compliance. This same annualization
concept and period of annualization were also followed in the analysis of benefits, although for benefits the time
horizon of analysis for calculating the present value is longer than for costs. Using a 30-year annualization period
for both social costs and benefits allows comparison of constant annual equivalent values of costs and benefits
that have been calculated on a mathematically consistent basis. The annualization formula is as follows:
r x (\ + r\("~V
Annualized Cost = PV of Cost x r
(1 + r)n - 1
where:
r = Social discount rate (3% and 7%)
n = Annualization period, 30 years for the social cost analysis
Bl-2.4 Discounting and Annualization - Costs to Complying Facilities
In general, EPA followed similar concepts and procedures in the discounting and annualization required for the
analysis of costs to, and impacts on, complying facilities as those followed for the analysis of social costs.
However, the analysis of costs to complying facilities differs from that for costs to society in several important
ways, which are described below.
*• Consideration of taxes. For understanding the impact of the regulation on complying facilities, the costs
incurred by complying facilities are adjusted for taxes, as relevant, and calculated on an after-tax basis.
The tax treatment of compliance outlays and income effects (e.g., from installation downtime) shifts part
of these costs to the tax-paying public and reduces the actual cost to private, tax-paying businesses. For
this reason, the after-tax costs of compliance are a more meaningful measure of the financial burden on
complying facilities than the pre-tax costs. In analyzing and reporting the impact of compliance costs on
private facilities, annualized costs are therefore calculated on an after-tax basis.
*• Use of discount rates in present value and annualization calculations. The discount rate used in the
facility cost calculations generally has a different interpretation than the rate used for the social cost
5 See Chapter El: Summary of Social Costs, for further discussion of the framework for analyzing the social costs of the 316(b)
Phase III regulation.
6 Calculation of the present value assumes that the cost is incurred at the beginning of the year.
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl : Summary of Costs
calculation (even though, in some instances, the numerical value of the rate may be the same). Instead of
being a social discount rate, the discount rate used for the present value and annualization calculations for
complying facility costs represents a cost of capital to the individual complying facility, which may
reasonably differ from the concept of the social discount rate. The social discount rate may be derived on
several bases, including: (1) as an opportunity cost of capital to society or (2) as a societal inter-temporal
preference or indifference rate - i.e., the required rate of change overtime in a value of consumption or
outlay, at which society would be indifferent to the time period in which the consumption or outlay
occurs. The discount rates based on these society-level concepts may reasonably differ from the cost of
capital used for assessing costs and financial impacts to the complying firm.
*• Calculation of present value and annualization of costs at the year of compliance. In the social cost
analysis, costs incurred over 30 years were summed on a present value basis at the beginning of 2007, the
assumed date the final regulation would take effect. The present value was then annualized over 30 years.
The analysis of costs to complying facilities differs in two respects: (1) Costs were calculated on a present
value basis and annualized at the first year of compliance for each facility, rather than at the beginning of
2007. The calculation of annualized costs at the first year of compliance provides more accurate and
meaningful insight for assessing financial impact in relation to the baseline financial performance and
conditions of the complying facility than would be achieved if, for example, costs were further
discounted - and reduced numerically - by bringing them to the year the rule would take effect. (2) Each
non-annually recurring cost component was only accounted for once, rather than repeated at each
occurrence over the 30-year period. EPA accounted for the recurring nature of these costs (e.g.,
technology costs are assumed to recur every 10 years) through the annualization period (see bullet
below). The resulting aggregates of annualized cost over facilities, for purposes of reporting total cost to
complying facilities and total financial burden, are the sum of costs at the initial year of compliance for
each facility, even though those years differ across facilities. EPA used the following formula to calculate
the present value of the time stream of costs as of the beginning of each facility's compliance year:7
Cost .
Present Value^ =
, 1 ^t- Compliance Yearx
where:
Costx t = Costs incurred by facility x in year t
r = Discount rate (7%)
t = Year in which cost is incurred (2007 to 20 1 8)8
Compliance Yearx = Estimated compliance year of facility x
Annualization period. The present value estimates of the one-time or non-annually recurring costs were
then annualized over the relevant period for which the outlay is expected to produce compliance value.
The capital outlays for compliance equipment installation were annualized over the expected useful life of
the compliance equipment, 10 years. The income loss from installation downtime was annualized over
the facility's 30-year compliance period. Although compliance equipment would need to be reinstalled at
10-year intervals during the compliance period, the engineering analysis indicates that reinstallation
would not require additional downtime. Thus, the relevant period for annualization of the income loss
from installation downtime is the full 30 years of compliance assumed for this analysis. The pre-permit
study costs and other initial permitting costs were also annualized over the 30-year compliance period
while repermitting costs were annualized over 5 years, the interval at which these costs occur. All
annualized cost values, which were developed on a consistent discounting and annualization basis, are
7 Calculation of the present value assumes that the cost is incurred at the beginning of the year.
8 The first compliance year is 2010. A facility with a 2010 compliance year and a 3-year study requirement would incur its first costs
in 2007. The last compliance year is 2014. A facility with a 2014 compliance year would incur the costs of its last non-annual recurring
cost component, repermitting, five years after compliance, in 2018.
Bl-14
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl : Summary of Costs
then able to be summed with annually recurring costs (e.g., annual operating and maintenance expense) to
yield a total annualized cost to complying facilities. The annualization formula is as follows:
r x d + rV"'1)
Annualized Cost = PV of Cost x L — LI - U -
(1 + r)n - 1
where:
r = Discount rate (7%)
n = Annualization period (10 years for compliance equipment; 30 years for installation
downtime and initial permitting costs; 5 years for repermitting costs)
See Chapters B3 and B5 for additional detail on the present value and annualization concepts and procedures used
in the specific analyses by existing facility industry segment.
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Bl: Summary of Costs
REFERENCES
Engineering News-Record (ENR). 2004. Construction Cost Index. Available at:
http://enr.construction.com/features/conEco/costIndexes/constIndexHist.asp.
Federation of Tax Administrators (FTA). 2003. Range of State Corporate Income Tax Rates (for tax year 2003).
http://www.taxadmin.org/fta/rate/corp_inc.html, accessed July 17, 2003.
Office of Management and Budget (OMB). 2003. Executive Office of the President. Circular A-4, To the Heads
of Executive Agencies and Establishments; Subject: Regulatory Analysis. September 17, 2003.
U.S. Department of Commerce (U.S. DOC). 2004. Bureau of Economic Analysis (BEA). Gross Domestic
Product. Table 1.1.9: Implicit Price Deflators for Gross Domestic Product (GDP). Last Revised on February 27,
2004.
Available at: http://www.bea.doc.gov/bea/dn/nipaweb/TableView.asp#Mid.
U.S. Department of the Treasury. 2002. Internal Revenue Service (IRS). 2002 Instructions for Forms 1120 &
1120-A, page 17 (Federal tax rates).
U.S. Environmental Protection Agency (U.S. EPA). 2004a. Information Collection Request for the Proposed
Section 316(b) Rule for Phase III Facilities. ICR Number 2169.01. November 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2004b. Technical Development Document for the Proposed
Section 316(b) Rule for Phase III Facilities. EPA-821 -R-04-015. November 2004.
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2: Profile of Manufacturers
Chapter B2: Profile of Manufacturers
INTRODUCTION
CHAPTER CONTENTS
B2A Paper and Allied Products (SIC 26) B2A-
TT. . f .- r- ^umoo^ f B2B Chemicals and Allied Products (SIC 28) ... B2B-
Usmg information from the 1982 Census of _,. „ _ . , , „ , _ , . .„;„ .m ' _,. „
, f & „ , - -_ .,,.-' B2C Petroleum and Coal Products (SIC 29) .... B2C-
Manujactures and trom effluent guideline
B2D Steel (SIC 331) B2D-
B2E Aluminum (SIC 333/5) B2E-
B2F Other Industries B2F-
Glossarv B2Glos-
development materials, EPA identified four 2-digit
SIC code industries, in addition to the electric power
industry (SIC Group 49), that would likely be
subject to regulation under section 316(b). After the
electric power industry, these industries - Paper and
Allied Products (SIC 26), Chemicals and Allied Products (SIC 28), Petroleum and Coal Products (SIC 29), and
Primary Metal Industries (SIC 33) - are most reliant on cooling water for their operations.
Facilities in other industries also use cooling water and could therefore be subject to section 316(b) regulations;
however, based on the 1982 Census of Manufactures data and engineering-based insight into industrial use of
cooling water, the cooling water intake flow of these remaining industries is small relative to that of the power
industry and the four selected industries. Therefore, this Profile of Manufacturers focuses on the manufacturing
groups listed above. In its review of these industries, EPA divided the Primary Metal Industries (SIC 33) into
Steel (SIC 331) and Aluminum (SIC 333/335), based on the business and other operational differences in these
two major segments. The resulting five manufacturing industries - (1) Paper and Allied Products, (2) Chemicals
and Allied Products, (3) Petroleum and Coal Products, (4) Steel, and (5) Aluminum - comprise the "Primary
Manufacturing Industries," as referred to in this profile and elsewhere in this Economic Analysis report.
A key data source for EPA's analysis for the 316(b) Phase III regulation is the detailed questionnaire issued to a
sample of facilities identified as potentially subject to the Phase III regulation. Based on responses to a screener
survey, EPA targeted the detailed questionnaire to facilities believed to be in the major cooling water-use
industries, including the electric power industry, listed above. EPA received a number of responses from facilities
with business operations in industries other than the manufacturing industries listed above. EPA originally
believed these facilities to be non-utility electric power generators; however, inspection of their responses
indicated that the facilities were better understood as cooling water-dependent facilities whose principal
operations lie in businesses other than the electric power industry or manufacturing industries listed above. This
profile includes information for these facilities, referred to as "Other Industries."
The remainder of this chapter is divided into six sections:
> B2A: Paper and Allied Products (SIC 26),
+ B2B: Chemicals and Allied Products (SIC 28),
* B2C: Petroleum and Coal Products (SIC 29),
» B2D: Steel (SIC 331),
* B2E: Aluminum (SIC 333/335), and
> B2F: Other Industries.
Each industry section except for Other Industries is divided into the following five subsections: (1) summary
insights from this profile, (2) domestic production, (3) structure and competitiveness, (4) financial condition and
performance, and (5) facilities potentially subject to the Phase III regulation. The Other Industries section
contains only summary information for those facilities for which questionnaire responses were received; this
section does not include the industry specific discussions since the "Other Industry" facilities are in a variety of
different industries, which, as noted above, rely to a much less substantial degree on cooling water to support their
operations.
B2-1
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2: Profile of Manufacturers
This profile uses the Standard Industrial Classification (SIC) system as the primary framework for analyzing and
reporting information about the industries analyzed for the section 316(b) Phase III regulation. However, the
more recent data were often reported in the North American Industry Classification System (NAICS), which the
U.S. Census Bureau adopted in 1997 for economic reporting. Where necessary, EPA converted information
reported in the NAICS framework to the SIC framework using the 1997 Economic Census Bridge Between
NAICS and SIC. In most instances, these translations are straightforward; however, for some segments, the
translation may introduce inconsistencies in data series at the point of changeover from the SIC to the NAICS
frameworks.
B2-2
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Chapter B2A: Paper and Allied Products
(SIC 26)
EPA's Detailed Industry Questionnaire,
hereafter referred to as DQ, identified five 4-
digit SIC codes in the Paper and Allied Products
industry (SIC 26) with at least one existing
facility that operates a CWIS, holds a NPDES
permit, and withdraws equal to or greater than
two million gallons per day (MOD) from a water
of the United States, and uses at least 25 percent
of its intake flow for cooling purposes, (facilities
with these characteristics are hereafter referred
to as facilities potentially subject to the Phase III
regulation or "potential Phase III facilities").
For each of the five SIC codes, Table B2A-1
below provides a description of the industry
segment, a list of primary products
manufactured, the total number of detailed
questionnaire respondents (weighted to represent
national results), and the number and percent of
potential Phase III facilities within the estimated
national total of facilities in the respective
industry SIC code groups.
CHAPTER CONTENTS
B2A-1 Summary Insights from this Profile
B2A-2 Domestic Production
B2A-2.1 Output
B2A-2.2 Prices
B2A-2.3 Number of Facilities and Firms
B2A-2.4 Employment and Productivity
B2A-2.5 Capital Expenditures
B2A-2.6 Capacity Utilization
B2A-3 Structure and Competitiveness
B2A-3.1 Geographic Distribution
B2A-3.2 Facility Size
B2A-3.3 Firm Size
B2A-3.4 Concentration Ratios
B2A-3.5 Foreign Trade
B2A-4 Financial Condition and Performance
B2A-5 Facilities Operating Cooling Water Intake
Structures
B2A-5.1 Waterbody and Cooling System Type
B2A-5.2 Facility Size
B2A-5.3 Firm Size
References
. B2A-3
. B2A-4
. B2A-4
. B2A-8
. B2A-8
B2A-10
B2A-12
B2A-13
B2A-14
B2A-15
B2A-16
B2A-18
B2A-18
B2A-20
B2A-23
B2A-24
B2A-25
B2A-26
B2A-27
B2A-29
Table B2A-1: Potential Phase III facilities in the Paper and Allied Products Industry (SIC 26)
SIC
2611
2621
2631
SIC Description
Pulp Mills
Paper Mills
Paperboard Mills
Important Products Manufactured
Pulp from wood or from other materials, such as rags,
linters, wastepaper, and straw; integrated logging and
pulp mill operations if primarily shipping pulp.
Paper from wood pulp and other fiber pulp, converted
paper products; integrated operations of producing
pulp and manufacturing paper if primarily shipping
paper or paper products.
Paperboard, including paperboard coated on the
paperboard machine, from wood pulp and other fiber
pulp; and converted paperboard products; integrated
operations of producing pulp and manufacturing
paperboard if primarily shipping paperboard or
paperboard products.
Total
Number of Facilities3
_ , Potential Phase
10tal HI facilities"
60 41
290 133
190 52
540 225
%
68.3%
45.9%
27.4%
41.7%
B2A-1
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Table B2A-1: Potential Phase III facilities in the Paper and Allied Products Industry (SIC 26)
SIC
SIC Description
Important Products Manufactured
Number of Facilities3
_, , , Potential Phase „,
Total _-._ ..... b %
HI facilities b
Other Paper and Allied Products Segments
2676
2679
Sanitary Paper Products
Converted Paper and
Paperboard Products,
Not Elsewhere
Classified
Sanitary paper products from purchased paper, such as
facial tissues and handkerchiefs, table napkins, toilet
paper, towels, disposable diapers, and sanitary napkins
and tampons.
Laminated building paper, cigarette paper, confetti,
pressed and molded pulp cups and dishes, paper
doilies, egg cartons, egg case filler flats, papier-mache,
filter paper, foil board, gift wrap paper, wallpaper, etc.
Total Other
4 2
19 3
23 5
50.0%
15.8%
50.0%
Total Paper and Allied Products (SIC 26)
Total SIC Code 26
563
230
40.9%
a Number of weighted detailed questionnaire survey respondents.
b Individual numbers may not add up due to independent rounding.
Source: U.S. EPA, 2000; Executive Office of the President, 1987.
The table shows that an estimated 230 out of 563 facilities (or 41 percent) in the Paper and Allied Products
Industry (SIC 26) are potentially subject to the proposed regulation. EPA also estimated the percentage of total
production that occurs at facilities potentially subject to the proposed regulation. Total value of shipments for the
paper and allied products industry from the 1998 Annual Survey of Manufacturers is $84.9 billion. Value of
shipments, a measure of the dollar value of production, was selected for the basis of this estimate. Because the
DQ did not collect value of shipments data, these data were not available for the sample of Phase III
manufacturing facilities potentially subject to the proposed regulation. Total revenue, as reported on the DQ, was
used as a close approximation for value of shipments for these facilities. EPA estimated the total revenue of
facilities in the paper industry potentially subject to the proposed regulation is $55.1 billion. Therefore, EPA
estimates that 65 percent of total production in the paper industry occurs at facilities potentially subject to the
proposed regulation.
The responses to the Detailed Industry Questionnaire indicate that three segments account for most of the
potential Phase III facilities in the Paper and Allied Products industry: (1) Pulp Mills (SIC 2611), (2) Paper Mills
(SIC 2621), and (3) Paperboard Mills (SIC 2631). Of the 239 potential Phase III facilities in the paper and allied
products industry, 59 percent are Paper Mills. Paperboard Mills and Pulp Mills account for 22 and 18 percent of
facilities, respectively. The remainder of this profile therefore focuses on these three industry segments.
Table B2A-2 provides the cross-walk between SIC codes and NAICS codes for the profiled paper SIC codes. The
table shows that both Pulp Mills and Paperboard Mills have a one-to-one relationship to their NAICS codes.
Paper Mills correspond to two NAICS codes (322121 and 322122). NAICS 322121, classified as Paper (except
newsprint) Mills, represents a large portion of SIC code 2621 (84 percent based on value of shipments).
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Table B2A-2: Relationship between SIC and NAICS Codes for the
Paper and Allied Products Industry (1997)
SIC
Code
2611
2621
2631
SIC Description
Pulp mills
Paper mills
Paperboard mills
NAICS
Code
322110
322121
322122
322130
NAICS Description
Pulp mills
Paper (except newsprint) mills
(Pt)
Newsprint mills
Paperboard mills
Establishments
39
225
31
217
Value of
Shipments
($000)
4,072,965
29,930,133
5,584,285
19,828,695
Employment
10,247
93,537
14,015
54,643
Source: U.S. DOC, 1997.
B2A-1 SUMMARY INSIGHTS FROM THIS PROFILE
A key purpose of this profile is to provide insight into the ability of pulp and paper firms that would potentially be
subject to the proposed Phase III regulation to absorb compliance costs without material adverse
economic/financial effects. Two important factors in the ability of the industry's ability to withstand compliance
costs are: (1) the extent to which the industry may be expected to shift compliance costs to its customers through
price increases and (2) the financial health of the industry and its general business outlook.
Likely Ability to Pass Compliance Costs Through to Customers
As reported in the following sections of this profile, the pulp and paper industry is relatively unconcentrated,
which would suggest that firms in this industry may face difficulty in passing through to customers a significant
portion of their compliance-related costs. The domestic pulp industry also faces significant competitive pressures
from abroad, further curtailing the potential of firms in this industry to pass through to customers a significant
portion of their compliance-related costs. The domestic Paper Mills and Paperboard Mi Us segments do not face
as significant foreign competitive pressures, and, based on this factor, would have more latitude in passing
through to customers any increase in production costs resulting from regulatory compliance. However, foreign
pressure is likely to increase as capacity in foreign countries, particularly China, continues to grow and exert
pressure on the domestic market. As discussed above, the proportion of total value of shipments in the industry
potentially subject to the proposed regulation is 65 percent. The actual proportion of total value of shipments
subject to regulation-induced compliance costs would be smaller since not all of the potentially regulated facilities
would be subject to the national categorical requirements of the proposed regulation: that is, facilities below the
proposed design intake flow (DIP) would be subject to permitting based on best professional judgement (BPJ)
rather than based on national standards, and several facilities currently employ baseline technologies that meet the
requirements of the proposed regulation. Given the likelihood that these percentages represent upper bound
estimates, EPA believes that the theoretical threshold for justifying the use of industry-wide CPT rates in the
impact analysis of existing Phase III pulp and paper facilities has not been met. For these reasons, in its analysis
of regulatory impacts for the pulp and paper industry, EPA assumed that complying firms would be unable to pass
compliance costs through to customers: i.e., complying facilities must absorb all compliance costs within their
financial condition at the time of compliance (see following sections and Appendix 3 to Chapter B3: Economic
Impact Analysis for Manufacturers for further information).
Financial Health and General Business Outlook
Over the past decade, the pulp and paper industry, like other U.S. manufacturing industries, has experienced a
range of economic/financial conditions, including substantial challenges. In the early 1990s, general economic
weakness diminished financial performance in the domestic pulp and paper industry. Domestic market conditions
were erratic in the 1990s, with financial performance peaking mid-decade, before declining again as
overproduction caused a glut of product and decreasing prices. Going into 2000, the industry's financial
B2A-3
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B2A: Paper and Allied Products
performance had started to improve, but the subsequent recession and global economic downturn, coupled with
continuing overproduction led to declining financial results through 2003. Going forward, the industry continues
to face increased foreign competition, global and domestic overcapacity, and a failure to adapt to changing
business conditions (McNutt, Cenatempo & Kinstrey, 2004). At the same time, with the ongoing improvement in
U.S. economic conditions, the pulp and paper industry appears poised to achieve stronger financial performance
in 2004 and later years. This should position firms to better withstand additional regulatory compliance costs
without imposing significant financial impacts.
B2A-2 DOMESTIC PRODUCTION
The paper and allied products industry is one of the top ten U.S. manufacturing industries, and among the top five
segments in sales of nondurable goods. Growth in the paper industry is closely tied to overall gross domestic
product (GDP) growth. Although the domestic market consumes over 90 percent of total U.S. paper and allied
products industry output, exports have taken on an increasingly important role, and growth in a number of key
foreign paper and paperboard markets are a key factor in the health and expansion of the U.S. industry (McGraw-
Hill, 2000). The industry is considered mature, with growth slower than that of the GDP, and U.S. producers have
actively sought growth opportunities in overseas markets. Although exports still represent a small share of
domestic shipments, they exert an important marginal influence on capacity utilization. Prices and industry
profits, which are sensitive to capacity utilization, have therefore become increasingly sensitive to trends in global
markets. The industry experienced relatively stable production and sales during the 1990s, but saw more volatile
capacity utilization, profitability, and prices (Ince, 1999).
With the slowing of the U.S. economy in 2000, and the onset of recession in 2001, the resulting drop in demand
and prices put pressure on companies in the industry to eliminate excess capacity. Through aggressive
consolidation and streamlining of their operations, facilities sought to lower expenses through elimination of older
and less cost efficient operations. In 2002, paper companies eliminated three million tons of capacity, with similar
reductions expected in 2003. (Value Line, 2003).
The U.S. Paper and Allied Products industry has a world-wide reputation as a high quality, high volume, and low-
cost producer. The industry benefits from many key operating advantages, including a large domestic market; the
world's highest per capita consumption; a modern manufacturing infrastructure; adequate raw material, water, and
energy resources; a highly skilled labor force; and an efficient transportation and distribution network (Stanley,
2000). U.S. producers face growing competition from new facilities constructed overseas, however (McGraw-
Hill, 2000).
The industry is a major energy user, second only to the chemicals and metals industries. However, 56 percent of
total energy used in 1998-99 was self-generated (McGraw-Hill, 2000). The use of renewable resources (biomass,
black liquor, hydroelectric, etc.) for energy production has increased from 40 percent of total industry energy
consumption in 1972 to 56 percent in 2000, and is currently estimated to account for about 60 percent of
consumption in 2004 (Paper Age, 2004a).
B2A-2.1 Output
The paper and allied products industry has experienced continued globalization and cyclical pattens in production
and earnings over the last two decades. Capital investments in the 1980s resulted in significant overcapacity. U.S.
producers experienced record sales in 1995. In 1996, lower domestic and foreign demand, coupled with declining
prices, caused the industry's total shipments to decline by 2.2 percent. More recently, three consecutive years of
increasing demand and slowly increasing prices led to better industry performance at the end of the 1990s. During
these years, domestic producers controlled operating rates to allow drawdown of high inventories and to achieve
higher capacity utilization. U.S. producers have also placed a greater emphasis on foreign markets, both through
export sales and investments in overseas facilities (McGraw-Hill, 2000). The paper products industry recorded
improved sales and stronger earnings in 1999 and early 2000, but began to experience declines in sales in the
second half of 2000, reflecting reduced paper and packaging demand due to the slowdown in the U.S. economy
and a growth in imports (S&P, 2001). Most products were characterized by weak demand, reduced production
B2A-4
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B2A: Paper and Allied Products
and price reductions in 2001, due to continuing reductions in domestic demand (Paperloop, 2001). Annual sales in
the U.S. in 2001 dropped 1.5%, while earnings at the top 31 U.S. corporations fell by nearly 75%, partly due to a
decrease in prices of up to 15% (Paun et al. 2004).
Capacity for U.S. paper and paperboard declined annually from 2001 to 2003, in contrast to annual increases in
capacity for the previous two decades. Capacity declined 1.9% in 2001, 1.3% in 2002, and 0.4% in 2003, and is
expected to remain unchanged from 2004 to 2006 due to increased foreign competition, mature domestic markets,
and competition from other media (Paper Age, 2004b). Overcapacity has been a problem within the industry. As
the world economy began to slow in the early 2000s, demand in the U.S. and abroad waned, forcing producers to
limit production to prevent oversupply and keep pricing levels from dropping further (S&P, 2004b). In addition to
production downtime, many older, less efficient, single mill operations were permanently closed. In 2001, pulp
production decreased 7.3% to 53 million tons, while paper and paperboard production decreased 5.5% to 81
million tons (Paun et al. 2004).
For 2004, paper industry demand and prices are expected to remain at 2003 levels or increase slightly. As the
economy continues to improve, demand should start to pick up, with better financial performance expected in
2005, as long as the industry continues careful management of production levels and control of inventories . In
addition, the weakened dollar should help to improve performance in export markets (S&P, 2004a). These
improving conditions should better position firms to manage any increase in production costs resulting from
regulatory compliance.
Figure B2A-1 shows the trend in constant value of shipments and value added for the three profiled
segments.1 Value of shipments and value added are two common measures of manufacturing output. They provide
insight into the overall economic health and outlook for an industry. Value of shipments is the sum of the receipts
a manufacturer earns from the sale of its outputs; it indicates the overall size of a market or the size of a firm in
relation to its market or competitors. Value added measures the value of production activity in a particular
industry. It is the difference between the value of shipments and the value of inputs used to make the products
sold.
The trends over time in value of shipments and value added show that the Paper and Allied Products has
performed erratically over the 1987-2001 period, with swings in shipments and value added generally following
the performance trend of the aggregate U.S. economy. Of the three profiled industry segments, only Paperboard
Mills reached the end of the analysis period with a higher total value of shipments and value added than in 1987;
both Paper Mills and Pulp Mills recorded real declines in shipments and value added over the 15 year period.
'Terms highlighted in bold and italic font are further explained in the glossary.
B2A-5
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Figure B2A-1: Value of Shipments and Value Added for Profiled Paper and Allied Products Segments
(millions,$2003)
Value of Shipments
60 000
50 000
40 000
30 000
20 000 -
10 000
0 -
^*^-x^ / V_
"•
^__ ^v-.........--..
«-^^~~^~»^__-4^'^^
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
• Paper Mills (SIC 2621)
------- Paper Mills (NAICSto SIC)
A Paperboard Mills (SIC 263 1)
- - -A- - - Paperboard Mills (NAICSto SIC)
• Pulp Mills (SIC 261 1)
...*._. Pulp Mills (NAICSto SIC)
Value Added
..... * .....
• PaperMills (SIC 2621)
------- Paper Mills (NAICS to SIC)
A- Paperboard Mills (SIC 2631)
---A--- Paperboard Mills (NAICS to SIC)
* Pulp Mills (SIC 2611)
....... Pulp Mills (NAICS to SIC)
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
B2A-6
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Table B2A-3 provides the Federal Reserve System's index of industrial production for the profiled pulp and paper
segments, which shows trends in production between 1989 and 2003. This index more closely reflects total output
in physical terms, whereas value of shipments and value added reflect the economic value of production. The
production index is expressed as a percentage of output in the base year, 1997. Production peaked in 1995 for all
three segments, which was the best year of financial performance for the industry (see Table B2A-8). The
subsequent oversupply led to cuts in production and weaker financial performance. Financial results improved at
the end of the 1990s and into 2000, as paper and paperboard firms limited production in an effort to reduce excess
inventory. The global economic downturn and weakened demand that began in the latter half of 2000 forced
further reductions in production in subsequent years. In contrast to the Paper Mills and Paperboard Mills
segments, Pulp Mills have gradually increased production after the initial fall from the 1995 production peak.
Table B2A-3: U.S. Pulp and Paper Industry Industrial Production Index
Year
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
Total Percent Change
1989-2000
Average Annual
Growth Rate
Pulp
Index
1997=100
107.4
107.3
109.0
114.6
96.3
102.0
109.6
100.5
100.1
101.2
101.7
103.8
102.1
103.1
103.5
-3.6%
-0.3%
Mills3
Percent
Change
n/a
-0.1%
1.6%
5.2%
-16.0%
5.9%
7.5%
-8.3%
-0.4%
1.1%
0.5%
2.1%
-1.7%
0.9%
0.5%
Paper Mills"
Index
1997=100
105.7
103.5
100.2
99.0
98.3
103.9
107.4
101.1
100.0
99.7
104.0
101.5
94.0
91.9
90.4
-14.5%
-1.1%
Percent
Change
n/a
-2.1%
-3.3%
-1.2%
-0.6%
5.6%
3.4%
-5.9%
-1.1%
-0.3%
4.4%
-2.5%
-7.4%
-2.2%
-1.6%
Paperboard
Index
1997=100
88.0
88.4
87.6
91.5
93.4
98.8
102.4
97.6
100.1
100.1
101.4
96.8
93.4
94.7
94.6
7.5%
0.5%
Mills0
Percent
Change
n/a
0.4%
-1.0%
4.4%
2.1%
5.8%
3.7%
-4.7%
2.5%
0.1%
1.2%
-4.5%
-3.5%
1.4%
-0.1%
a Includes NAICS 32211.
b Includes NAICS 32212.
c Includes NAICS 32213.
Source: Federal Reserve Board, 2004.
B2A-7
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
B2A-2.2 Prices
The producer price index (PPI) measures price changes, by segment, from the perspective of the seller, and
indicates the overall trend of product pricing, and thus supply-demand conditions, within a segment.
Figure B2A-2 shows that price levels in the U.S. paper industry closely reflect domestic and foreign demand, and
industry capacity and operating rates, which determine supply (S&P, 2001). Prices tend to be volatile due to
mismatches between short-term supply and demand. The industry is very capital intensive, and development of
new capacity requires several years. Prices therefore tend to increase when demand and capacity utilization rise,
and drop sharply when demand softens or when new capacity comes on line. In the past, producers have been
reluctant to cut production when demand declines because fixed capital costs are a substantial portion of total
manufacturing costs; this reluctance has occasionally caused persistent oversupply. During the recent economic
slowdown, however, producers appeared more willing to cut output to prevent sharp reductions in prices (Ince,
1999; S&P, 2001).
The paper industry suffered from low prices throughout the early 1990s. The depressed prices resulted from the
paper boom of the late 1980s. Prices recovered in the mid 1990s before declining again in the latter part of the
decade. Entering 2000, prices in the paper industry reversed course and rose, before experiencing declines in 2001
and 2002, as prices for most paper grades dropped between 5 and 15 percent (Value Line, 2003). Faced with
substantial declines in demand during those years, producers cut production, endured downtime, and closed less
efficient facilities to prevent major price declines for paper products (S&P, 2001). Prices started to level near the
end of 2002, and entering 2003 producers started to raise prices. With demand uneven, however, the increased
pricing did not hold, and at the start of 2004, most of the price increases have vanished (S&P, 2004a).
Figure B2A-2: Producer Price Indexes for Profiled Paper and Allied Products Segments
-PaperboardMills (SIC 2631)
-Paper Mills (SC 2621)
-Pulp Mills (SC 2611)
Source: BLS, 2002.
B2A-2.3 Number of facilities and firms
The Statistics of U.S. Businesses reports that the number of facilities and firms in the Pulp Mills segment
decreased by 11 percent between 1989 and 2001. One of the reasons for this decline has been the increase in the
number of mills that produce deinked recycled market pulp and thus displace demand for virgin pulp mill product.
These are secondary fiber processing plants that use recovered paper and paperboard as their sole source of raw
material. Producers of deinked market pulp have experienced strong demand over the past several years in both
B2A-8
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
U.S. and foreign markets. As a result, U.S. deinked recycled market pulp capacity more than doubled between
1994 and 1998 (McGraw-Hill, 2000). Since 1994, the secondary fiber share of total papermaking fiber production
has increased steadily, reaching 37 percent in 1999 (McGraw-Hill, 2000).
In contrast, the number of facilities and firms in the Paper Mills and Paperboard Mills segments declined.
Overcapacity in the 1990s limited the construction of new facilities. In 1998 and 1999, 577,000 and 2.5 million
tons of paper and paperboard capacity were removed from the capacity base. Over the same period, more than one
million tons of pulp capacity were removed (Pponline, 1999). In 200 land 2002, 8.2 million tons of capacity
closed, mostly in containerboard, market pulp, and print and writing papers. (Paper Age, 2004c).
Tables B2A-4 and B2A-5 present the number of facilities and firms for the three profiled paper and allied
products segments between 1989 and 2001.
Table B2A-4: Number of Facilities Owned by Firms in the Profiled
Paper and Allied Products Segments
Year
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999a
2000a
200 r
Total Percent Change
1989-2001
Average Annual
Growth Rate
Pulp
Number of
Facilities
46
46
53
44
46
52
53
62
41
44
45
48
51
10.9%
0.9%
Mills
Percent
Change
n/a
0.0%
15.2%
-17.0%
4.5%
13.0%
1.9%
17.0%
-33.9%
7.3%
2.3%
6.7%
6.3%
Paper Mills
Number of
Facilities
322
327
349
324
306
316
317
344
259
235
242
230
238
-26.1%
-2.5%
Percent
Change
n/a
1.6%
6.7%
-7.2%
-5.6%
3.3%
0.3%
8.5%
-24.7%
-9.3%
3.0%
-5.0%
3.5%
Paperboard
Number of
Facilities
221
226
228
222
217
218
219
228
214
232
233
238
237
7.2%
0.6%
Mills
Percent
Change
n/a
2.3%
0.9%
-2.6%
-2.3%
0.5%
0.5%
4.1%
-6.1%
8.4%
0.4%
2.1%
-0.4%
a Before 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the North American Industry
Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code classifications using
the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
B2A-9
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Table B2A-5: Number of Firms in the Profiled Paper and Allied Products Segments
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999a
2000a
200 r
Total Percent Change
1990-2001"
Average Annual
Growth Rate
Pulp
Number of
Firms
31
37
29
32
37
32
43
27
32
33
36
40
3.2%
0.4%
Mills
Percent
Change
n/a
19.4%
-21.6%
10.3%
15.6%
-13.5%
34.4%
-37.2%
18.5%
3.1%
9.1%
11.1%
Paper Mills
Number of Percent
Firms
158
186
161
153
163
163
186
131
124
133
134
140
-27.5%
-3.0%
Change
n/a
17.7%
-13.4%
-5.0%
6.5%
0.0%
14.1%
-29.6%
-5.3%
7.2%
0.7%
4.6%
Paperboard
Number of
Firms
102
102
95
99
96
93
101
85
95
95
105
116
-6.9%
-0.9%
Mills
Percent
Change
n/a
0.0%
-6.9%
4.2%
-3.0%
-3.1%
8.6%
-15.8%
11.8%
0.0%
10.5%
10.5%
a Before 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the North American Industry
Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code classifications using
the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
B2A-2.4 Employment and productivity
The U.S. paper industry is among the most modern in the world. It has a highly skilled labor force and is
characterized by large capital expenditures, which have been largely aimed at productivity improvements.
Employment in the three profiled paper industry segments remained relatively constant from 1987 through the
mid 1990s. Since then, employment at Pulp Mills has dropped considerably, decreasing by 49 percent; Paper
Mills have also seen a substantial reduction in the workforce of close to 33%. Employment in Paperboard Mills
fell the least over this period, but has still declined by almost 7 percent. Part of this employment loss is
attributable to firms closing older and higher cost facilities (McNutt, Cenatempo & Kinstrey, 2004). Figure B2A-
3 presents employment for the three profiled paper segments between 1987 and 2001.
B2A-10
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§ 316(b) Proposed Rule: Phase III-EA, Part B: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Figure B2A-3: Employment for Profiled Paper and Allied Products Segments
140,000
120,000
100,000
80,000
60,000
40,000
20,000
• Paper Mils (SC2621)
------- Paper Mils (NAICSto SQ
- * PaperboardMlls (SIC 2631)
I,.. PaperboardMlls (NAICSto SIQ
—t— Pulp Mils (SIC 2611)
....... Pulp Mils (NAICSto SIQ
a Before 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the North American Industry
Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code classifications using
the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
Table B2A-6 on the following page presents the change in value added per labor hour, a measure of labor
productivity, for each of the profiled industry segments between 1987 and 2001. The table shows that labor
productivity in the Pulp Mills segment has been relatively volatile, posting several double-digit gains and losses
between 1987 and 2001. These changes were primarily driven by fluctuations in value added and production
levels. Overall, productivity in Pulp Mills decreased by 12% percent during this period, while increasing in Paper
Mills and Paperboard Mills by 41 percent and 21 percent, respectively.
B2A-11
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Table B2A-6: Productivity Trends for Profiled Paper and Allied Products Segments ($2003)
Year
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999a
2000a
2001a
Total Percent Change
1987-2001
Average Annual
Growth Rate
Value
Added
($
mill.)
3,293
4,350
5,297
4,424
3,061
3,124
2,045
2,450
4,493
2,478
1,669
1,538
1,558
1,930
1,459
-55.7%
-5.6%
Pulp
Prod.
Hrs.
(mill.)
24
24
25
28
28
26
23
22
23
24
13
12
12
12
12
-50.0%
-4.8%
Mills
Value
Added/Hour
m. , Percent
(yhr) _,
v ' Change
138
182
209
160
111
119
89
112
199
104
129
124
133
162
122
-11.6
%
-0.9%
n/a
31.9%
14.8%
-23.4%
-30.6%
7.2%
-25.2%
25.8%
77.7%
-47.7%
24.0%
-3.9%
7.3%
21.8%
-24.7%
Paper Mills
Value
Added
(S
mill.)
20,349
23,541
22,999
21,495
19,406
18,159
17,348
17,649
25,772
21,218
21,077
21,065
21,099
21,864
19,660
-3.4%
-0.2%
Prod.
Hrs.
(mill.)
213
215
214
211
212
215
212
206
201
197
182
173
167
155
145
-31.9%
-2. 7%
Value
Added/Hour
m. , Percent
(yhr) _,
v ' Change
96
109
107
102
91
84
82
86
128
108
116
122
126
141
135
40.6%
2.5%
n/a
13.5%
-1.8%
-4.7%
-10.8%
-7.7%
-2.4%
4.9%
48.8%
-15.6%
7.4%
5.2%
3.3%
11.9%
-4.3%
Paperboard Mills
Value
Added
(S
mill.)
9,980
12,253
11,833
10,519
9,080
10,023
8,996
10,161
14,517
10,868
10,011
11,072
11,259
12,587
11,383
14.1%
0.9%
Prod.
Hrs.
(mill.)
89
91
89
91
87
88
90
94
98
95
93
90
86
86
83
-6. 7%
-0.5%
Value
Added/Hour
(
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
The Department of Commerce estimates that environmental spending accounted for about 14 percent of all capital
outlays made by the U.S. paper industry since the 1980s, and the Cluster Rule promulgated in 1998 is expected to
require increased environmental expenditures (S&P, 2001).
Table B2A-7: Capital Expenditures for Profiled Paper and Allied Products Segments (millions, $2003)
Year
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999a
2000a
2001"
Toted Percent Change
1987- 2001"
Average Annual
Growth Rate
Pulp
Capital
Expenditures
333
432
937
1,364
1,240
945
509
369
530
786
382
455
201
250
199
-40.2%
-3.6%
Mills
Percent
Change
n/a
29.3%
117.1%
45.6%
-9.1%
-23.8%
-46.1%
-27.5%
43.6%
48.3%
-51.4%
19.3%
-55.8%
24.2%
-20.3%
Paper Mills
Capital
Expenditures
3,993
4,605
7,043
5,539
4,551
3,561
3,423
3,761
3,149
3,538
3,211
3,422
2,539
2,712
2,547
-36.2%
-3.2%
Percent
Change
n/a
15.3%
52.9%
-21.4%
-17.8%
-21.8%
-3.9%
9.9%
-16.3%
12.3%
-9.2%
6.6%
-25.8%
6.8%
-6.1%
Paperboard
Capital
Expenditures
1,115
2,118
2,224
3,854
2,693
2,496
1,964
2,044
2,400
2,656
1,788
1,526
1,374
1,253
1,063
-4.7%
-0.3%
Mills
Percent
Change
n/a
89.9%
5.0%
73.3%
-30.1%
-7.3%
-21.3%
4.1%
17.4%
10.7%
-32.7%
-14.6%
-10.0%
-8.8%
-15.2%
a Before 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the North American Industry
Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code classifications using
the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
B2A-2.6 Capacity utilization
Capacity utilization measures actual output as a percentage of total potential output given the available
capacity. Capacity utilization provides insight into the extent of excess or insufficient capacity in an industry, and
into the likelihood of investment in new capacity. According to the U.S. Industry and Trade Outlook, a utilization
rate in the range of 92 to 96 percent is necessary for the Pulp Mills segment to remain productive and profitable
(McGraw-Hill, 2000).
As shown in Figure B2A-4, capacity utilization fluctuated sharply in all three profiled segments over the analysis
period. Capacity utilization increased between 1989 and 1994, and then fell sharply in 1995. This sharp drop
resulted from an effort to reduce inventories, which had begun rising in 1995 in response to low demand and
oversupply (McGraw-Hill, 2000). As inventories were sold off and global economic activity strengthened,
capacity utilization began to rise again in 1996, peaked in 1997, and again declined in 1998 due to reduced
B2A-13
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
demand from the Asian market (S&P, 2001). With the global economic slowdown starting in 2000, paper
producers were forced to implement production cutbacks and downtime to prevent oversupply from further
depressing prices. As a result, utilization rates fell farther in 2000 and 2001 to values below those observed in the
prior decade. At the same time, overall capacity contracted as companies permanently closed less efficient
facilities. The industry is expected to continue consolidating, which should aid profitability in the long run (S&P,
2004b).
Figure B2A-4 presents the capacity utilization indexes from 1989 to 2002 for the three profiled segments.
Figure B2A-4: Capacity Utilization Rate (Fourth Quarter) for Pulp and Paper Industry
100
98
94 -
92
90 -
88
86 -
84 -
82
80
78
- \
^ / \
* — ^/: \^ \ -/"^N. •* •"
/ vX ••1V>
H x*v: A
X^»* * \ '
I g -^
\
\ /
A
1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
u Pap erboard Mills (SIC 263 1 )
n Paperboard Mills (NAICS
322130)
— * — Paper Mills (SIC 2621)
1 — -Pulp Mills (SIC 2611)
..,»-., Pulp Mills (NAICS 322110)
a Before 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the North American Industry
Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code classifications using
the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1989-2002.
B2A-3 STRUCTURE AND COMPETITIVENESS
Paper and allied products companies range in size from large corporations having billions of dollars of sales, to
small producers with revenue a fraction of the size of the large producers. Because all paper and allied products
companies use the same base materials in their production, most manufacture more than one product. To escape
the extreme price volatility of commodity markets, many smaller manufacturers have differentiated their products
by offering value-added grades. The smaller markets for value-added products make this avenue less available to
the larger firms (S&P, 2001).
The paper industry has consolidated through mergers and acquisitions and has closed older mills over the last few
years, as a way to improve profits in a mature industry. About six percent of North American containerboard
capacity was shut down (most on a permanent basis) in late 1998 and early 1999. Companies have been reluctant
to invest in any major new capacity, which might result in excess capacity (S&P, 2001). In 1999, new capacity
additions in the paper and allied products industry were at their lowest level of the past ten years; this caution in
adding to capacity is expected to continue (Pponline.com, 2000). Another problem for the industry is the
B2A-14
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B2A: Paper and Allied Products
increasing capacity being brought online in foreign countries, which could result in higher U.S. import levels and
increased competition for U.S. products in export markets (S&P, 2004a).
Major recent mergers include International Paper's acquisition of Champion International in 2000 and Union
Camp in 1999, Georgia-Pacific's takeover of Fort James Corp. (itself a 1997 combination of James River and Fort
Howard), Weyerhaeuser's acquisition of Willamette Industries Inc., the merger of Mead and Westvaco, and
Temple-Inland's takeover of Gaylord Container. (S&P, 2001, 2004b).
B2A-3.1 Geographic distribution
The geographic distribution of pulp, paper, and paperboard mills varies with the different types of mills.
Traditional Pulp Mills tend to be located in regions where pulp trees are harvested from natural stands or tree
farms. The Southeast (GA, AL, NC, TN, FL, MS, KY), Northwest (WA, CA, AK), Northeast (ME) and Northern
Central (WI, MI) regions account for the major concentrations of Pulp Mills. Deinked market Pulp Mills, on the
other hand, are typically located close to large metropolitan areas, which can consistently provide large amounts
of recovered paper and paperboard (McGraw-Hill, 2000).
Paper Mills are more widely distributed, located in proximity to pulping operations and/or near converting
segment markets. Since the primary market for paperboard products is manufacturing, the distribution of
Paperboard Mills is similar to that of the manufacturing industry in general.
Figure B2A-5 on the following pages shows the distribution of all facilities by State in the profiled paper
segments, based on the 1992 Census of Manufactures.2
1 The 7992 Census of Manufactures is the most recent data available by SIC code and State.
B2A-15
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Figure B2A-5: Number of Facilities in Profiled Paper and Allied Products Segments by State
Number of Facilities
0-2
3-10
11-18
19-32
33-47
Source: U.S. DOC, 1987, 1992, and!997.
B2A-3.2 Facility size
Most facilities in the three profiled industry segments fall in the middle employment size categories, with either
100 to 249, or 250 to 499 employees. However, larger facilities (those with 500 or more employees) account for
the majority of the industries' value of shipments.
The number of independent Pulp Mills is smaller than the number of Paper Mills and Paperboard Mills, and Pulp
Mills have considerably lower value of shipments. The larger facilities dominate value of shipments in all three
segments, however:
*• Twenty-seven percent of all Pulp Mills employ 500 employees or more. These facilities account for
approximately 61 percent of the segment's value of shipments.
*• Thirty-three percent of all Paper Mills have more than 500 employees. They account for 71 percent of the
segment's value of shipments.
*• Sixteen percent of all Paperboard Mills employ 500 people or more. These facilities account for 56
percent of the segment's value of shipments.
B2A-16
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
The distributions of the number of facilities and value of shipment by employment size class are presented in
Figure B2A-6 below.
Figure B2A-6: Number of Facilities and Value of Shipments in 1992" by Employment Size Category
for Profiled Paper and Allied Products Segments
Number of Facilities
1 Pulp Mills (SIC 2611)
1 Paper Mills (SIC 2621)
DPaperboard Mills (SIC 2631)
1-19 20-49 50-99 100-249 250-499 500-999 1,000-2,499
Value of Shipments (in millions)
• Pulp Mills (SIC 2611)
D Paper Mills (SIC 2621)
DPaperboard Mills (SIC 2631)
1-19 20-49 50-99 100-249 250-499 500-999 1000-2499
a The 1992 Census of Manufactures is the most recent data available by SIC code and facility employment size.
Source: U.S. DOC, 1987, 1992, and 1997.
B2A-17
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
B2A-3.3 Firm size
For SIC codes 2611, 2621, and 2631, the Small Business Administration defines a small firm as having fewer
than 750 employees. The size categories reported in the Statistics of U.S. Businesses (SUSB) do not correspond
with the SBA size classifications, therefore preventing precise use of the SBA size threshold in conjunction with
SUSB data. The SUSB data presented in Table B2A-8 below show the following size distribution in 2001:
*• 26 of 40 (65 percent) firms in the Pulp Mills segment had less than 500 employees. Therefore, at least 65
percent of firms were classified as small. These small firms owned 28 facilities, or 55 percent of all
facilities in the segment.
*• 92 of 140 (66 percent) firms in the Paper Mills segment had less than 500 employees. These small firms
owned 97, or 41 percent of all Paper Mills.
*• 77 of 116 (66 percent) firms in the PaperboardMills segment had less than 500 employees. Therefore, at
least 66 percent of paperboard mills were classified as small. These firms owned 79, or 32 percent of all
Paperboard Mills.
An unknown number of the firms with more than 500 employees have less than 750 employees, and would
therefore also be classified as small firms. Table B2A-8 below shows the distribution of firms, facilities, and
receipts for each profiled segment by employment size of the parent firm.
Table B2A-8: Number of Firms and Facilities by Firm Size Category
for Profiled Paper and Allied Products Segments, 2001"
Employment Size
Category
0-19
20-99
100-499
500+
Total
Pulp
No. of Firms
11
8
7
14
40
Mills
No. of
Facilities
11
8
9
23
57
Paper Mills
IVT f T" No. of
No. of Firms _ .....
Facilities
34
20
38
48
140
34
20
43
140
237
Paperboard
No. of Firms
34
16
27
39
116
Mills
No. of
Facilities
34
16
29
168
247
a Before 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the North American Industry
Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code classifications using
the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
B2A-3.4 Concentration ratios
Concentration is the degree to which industry output is concentrated in a few large firms. Concentration is
closely related to entry barriers, with more concentrated industries generally having higher barriers.
The four-firm concentration ratio (CR4) and the Herfindahl-Hirschman Index (HHI) are common
measures of industry concentration. The CR4 indicates the market share of the four largest firms. For example, a
CR4 of 72 percent means that the four largest firms in the industry account for 72 percent of the industry's total
value of shipments. The higher the conentration ratio, the less competition there is in the industry, other things
B2A-18
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
being equal.3 An industry with a CR4 of more than 50 percent is generally considered concentrated. The HHI
indicates concentration based on the largest 50 firms in the industry. It is equal to the sum of the squares of the
market shares for the largest 50 firms in the industry. For example, if an industry consists of only three firms with
market shares of 60, 30, and 10 percent, respectively, the HHI of this industry would be equal to 4,600 (602 + 302
+ 102). The higher the index, the fewer the number of firms supplying the industry and the more concentrated the
industry. Based on the U.S. Department of Justice's guidelines for evaluating mergers, markets in which the HHI
is under 1000 are considered unconcentrated, markets in which the HHI is between 1000 and 1800 are considered
to be moderately concentrated, and those in which the HHI is in excess of 1800 are considered to be concentrated.
Table B2A-9 shows that Pulp Mills have an HHI of 858, Paper Mills have an HHI of 392, and Paperboard Mills
have an HHI of 438. At these HHI levels, all three industry segments appear relatively unconcentrated. With the
majority of the firms in this industry having small market shares, this suggests limited potential for passing
through to customers any increase in production costs resulting from regulatory compliance.
The concentration ratios for the three segments remained relatively stable between 1987 and 1992. The Pulp Mills
segment has the highest concentration of the three segments, with a CR4 of 48 percent and a HHI of 858 in 1992.
Recent mergers and acquisitions have led to an increase in concentration in the Paper and Paperboard segments.
In the late 1990s, the top five U.S. firms controlled 38 percent of production capacity, with higher concentrations
in individual product lines due to targeted consolidation and specialization (Ince, 1999). In 2001, only four firms
had greater than 11 percent of the market, with none having a share greater than 17 percent. More than half of the
firms in the paper industry had market shares under 2 percent (Paun et al. 2004). The Paper Mills and Paperboard
Mills segments also account for most of the production of their primary products. The Pulp Mills segment
accounts for a lower percentage of all pulp shipments, with pulp also commonly produced by integrated Paper and
Paperboard Mills.
Table B2A-9: Selected Ratios for Profiled Paper and Allied Products Segments, 1987 and 1992a
SIC Code
2611
2621
2631
Year
1987
1992
1987
1992
1987
1992
Total
Number
of Firms
26
29
122
127
91
89
Concentration Ratios
4 Firm
(CR4)
44%
48%
33%
29%
32%
31%
8 Firm
(CR8)
69%
75%
50%
49%
51%
52%
20 Firm
(CR20)
99%
98%
78%
77%
77%
80%
50 Firm
(CR50)
100%
100%
94%
94%
97%
97%
Herfindahl-Hirschman
Index
743
858
432
392
431
438
a The 1992 Census of Manufactures is the most recent concentration ratio data available by SIC code.
Source: U.S. DOC, 1987, 1992, and 1997.
3Note that the measured concentration ratio and the HHF are very sensitive to how the industry is defined. An
industry with a high concentration in domestic production may nonetheless be subject to significant competitive
pressures if it competes with foreign producers or if it competes with products produced by other industries (e.g.,
plastics vs. aluminum in beverage containers). Concentration ratios based on share of domestic production are
therefore only one indicator of the extent of competition in an industry.
B2A-19
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B2A: Paper and Allied Products
B2A-3.5 Foreign trade
This profile uses two measures of foreign competition: export dependence and import penetration.
Import penetration measures the extent to which domestic firms are exposed to foreign competition in domestic
markets. Import penetration is calculated as total imports divided by total value of domestic consumption in that
industry: where domestic consumption equals domestic production plus imports minus exports. Theory suggests
that higher import penetration levels will reduce market power and pricing discretion because foreign competition
limits domestic firms' ability to exercise such power. Firms belonging to segments in which imports account for a
relatively large share of domestic sales would therefore be at a relative disadvantage in their ability to pass-
through costs because foreign producers would not incur costs as a result of the Phase III regulation. The
estimated import penetration ratio for the entire U.S. manufacturing sector (NAICS 31-33) for 2001 is 22 percent.
For characterizing the ability of industries to withstand compliance cost burdens, EPA judges that industries with
import ratios close to or above 22 percent would more likely face stiff competition from foreign firms and thus be
less likely to succeed in passing compliance costs through to customers.
Export dependence, calculated as exports divided by value of shipments, measures the share of a segment's sales
that is presumed subject to strong foreign competition in export markets. The Phase III regulation would not
increase the production costs of foreign producers with whom domestic firms must compete in export markets. As
a result, firms in industries that rely to a greater extent on export sales would have less latitude in increasing
prices to recover cost increases resulting from regulation-induced increases in production costs. The estimated
export dependence ratio for the entire U.S. manufacturing sector for 2001 is 15 percent. For characterizing the
ability of industries to withstand compliance cost burdens, EPA judges that industries with export ratios close to
or above 15 percent are at a relatively greater disadvantage in potentially recovering compliance costs through
price increases since export sales are presumed subject to substantial competition from foreign producers.
Table B2A-10 presents trade statistics for the Pulp Mills, and Paper and Paperboard Mills segments. Imports and
exports play a much larger role in the Pulp Mills segment than for the other two segments. Import penetration and
export dependence levels for the Pulp Mills segment were an estimated 87 and 88 percent, respectively, in 2001.
The Paper and Paperboard Mills segments import penetration and export dependence ratios were 15 and 5 percent
, respectively, in 2001. For Pulp Mills, the large share of domestic production that is exported and domestic
consumption served by imports implies the industry faces significant foreign competition, limiting the industry's
ability to pass through to customers any increase in production costs resulting from regulatory compliance. For
Paper and Paperboard Mills, both measures of foreign competition are well below the U.S. manufacturing
averages estimated for 2001. Given just these measures, it would be reasonable to assume that this segment does
not face significant foreign competitive pressures, and would have more latitude in passing through to customers
any increase in production costs resulting from regulatory compliance. However, foreign pressure is likely to
increase as capacity in foreign countries, particularly China, continues to grow and exert pressure on the domestic
market (McNutt, Cenatempo & Kinstrey, 2004). In addition, as noted above, the HHI of the Paper and Paperboard
segments is 392 and 438 respectively, suggesting firms in these segments have small market shares, which would
curtail their ability to pass through any increase in production costs.
B2A-20
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Table B2A-10: Trade Statistics for Profiled Paper and Allied Products
Year
Value of Imports
(millions, $2003)
Value of Exports
(millions, $2003)
Value of Shipments
(millions, $2003)
Segments
Implied
Domestic Import
Consumption Penetration"
Export
Dependence0
Pulp Mills
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998d
1999d
2000d
200 ld
Total Percent
Change 1989-2001
Average Annual
Growth Rate
4,103
3,692
2,680
2,573
2,233
2,675
4,296
2,928
2,848
2,620
2,747
3,489
2,698
-34%
-3.4%
4,900
4,258
3,653
3,958
2,967
3,458
5,389
3,780
3,602
3,038
3,036
3,757
2,940
-40%
-4.2%
8,629
8,079
6,668
6,685
5,119
5,650
7,942
6,200
3,614
3,428
3,361
3,911
3,343
-61%
-7.6%
7,832
7,513
5,695
5,300
4,385
4,867
6,849
5,348
2,860
3,010
3,072
3,643
3,101
-60.4%
-7.4%
52.4%
49.1%
47.1%
48.5%
50.9%
55.0%
62.7%
54.7%
99.6%
87.0%
89.4%
95.8%
87.0%
56.8%
52.7%
54.8%
59.2%
58.0%
61.2%
67.9%
61.0%
99.7%
88.6%
90.3%
96.1%
87.9%
Paper and Paperboard Mills
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998d
1999d
2000d
200 ld
Total Percent
Change 1989-2001
Average Annual
Growth Rate
9,900
9,569
8,664
8,238
8,636
8,628
11,740
10,305
8,914
9,565
9,620
10,399
9,818
-1%
-0.1%
a Calculated by EPA as shipments + imporl
b Calculated by EPA as imports divided by
c Calculated by EPA as exports divided by
d Before 1998, data were compiled in the S
Classification System (NAICS). For this ar
the 1 997 Economic Census Bridge Betwee
Source: U.S. DOC, 2001.
4,054
4,466
5,075
5,214
5,009
5,634
7,384
7,136
3,602
3,038
3,036
3,757
2,940
-27%
-2.6%
69,541
66,353
60,502
59,839
57,700
62,484
79,893
67,360
63,461
63,591
63,735
65,887
59,731
-14.1%
-1.3%
75,387
71,456
64,091
62,863
61,327
65,478
84,249
70,529
68,773
70,118
70,319
72,529
66,609
-11.6%
-1.0%
13.1%
13.4%
13.5%
13.1%
14.1%
13.2%
13.9%
14.6%
13.0%
13.6%
13.7%
14.3%
14.7%
5.8%
6.7%
8.4%
8.7%
8.7%
9.0%
9.2%
10.6%
5.7%
4.8%
4.8%
5.7%
4.9%
s - exports.
implied domestic consumption.
shipments.
1C system; since 1 998, these data have been compiled in the North American Industry
lalysis, EPA converted the NAICS classification data to the SIC code classifications using
n NAICS and SIC.
B2A-21
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Figure B2A-7 shows that the value of imports and exports peaked in the mid-1990s, before dropping and
rebounding in 2000. As expected, values of both dropped again in 2001 and 2002, as the global economy fell into
recession.
Figure B2A-7: Value of Imports and Exports for Profiled Paper and Allied Products Segments
(millions,$2003)
Pulp Mills
6 000
5 000 -
4000 -
3 000 -
2 000
1 000
o
^
A
N. / \
O^ ^ AN
X^A >Z Y"-* -- •••*••
\C^ / V 'A-- A' •• ^X
\ 1 * •-.. . ..V "^ A
A Exports 26 1 1 (SIC)
- - -A- - - Exports 261 1 (NAICSto SIC)
* Imports 26 11 (SIC)
. . .4. . . Imports 261 1 (NAICSto SIC)
Paper and Paperboard Mills
A,
z
* Imports 2621, 2631 (SIC)
...*... Imports 2621,2631 (NAICSto
SIC)
A Exports 2621,2631 (SIC)
- - -A- - - Exports 2621,2631 (NAICSto
SIC)
a Before 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the North American Industry
Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code classifications using
the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 2001.
B2A-22
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B2A: Paper and Allied Products
B2A-4 FINANCIAL CONDITION AND PERFORMANCE
Financial performance in the paper and allied products industry is closely linked to macroeconomic cycles, both
in the domestic market and those of key foreign trade partners, and the resulting levels of demand. Many pulp
producers, for example, were not very profitable during most of the 1990s as chronic oversupply, cyclical
demand, rapidly fluctuating operating rates, sharp inventory swings, and uneven world demand has plagued the
global pulp market for more than a decade (Stanley, 2000).
Net Profit Margin is calculated as after-tax income before nonrecurring gains and losses as a percentage of sales
or revenue, and measures profitability, as reflected in the conventional accounting concept of net income. Over
time, the firms in an industry, and the industry collectively, must generate a sufficient positive profit margin if the
industry is to remain economically viable and attract capital. Year-to-year fluctuations in profit margin stem from
several factors, including: variations in aggregate economic conditions (including international and U.S.
conditions), variations in industry-specific market conditions (e.g., short-term capacity expansion resulting in
overcapacity), or changes in the pricing and availability of inputs to the industry's production processes (e.g., the
cost of energy to the pulp and paper process). The extent to which these fluctuations affect an industry's
profitability, in turn, depends heavily on the fixed vs. variable cost structure of the industry's operations. In a
capital intensive industry such as the pulp and paper industry, the relatively high fixed capital costs as well as
other fixed overhead outlays, can cause even small fluctuations in output or prices to have a large positive or
negative affect on profit margin.
Return on Total Capital is calculated as annual net profit, plus one-half of annual long-term interest, divided by
the total of shareholders' equity and long-term debt (total capital). This concept measures the total productivity of
the capital deployed by a firm or industry, regardless of the financial source of the capital (i.e., equity, debt, or
liability element). As such, the return on total capital provides insight into the profitability of a business' assets
independent of financial structure and is thus a "purer" indicator of asset profitability than return on equity. In the
same way as described for net profit margin, the firms in an industry, and the industry collectively, must generate
over time a sufficient return on capital if the industry is to remain economically viable and attract capital. The
factors causing short-term variation in net profit margin will also be the primary sources of short-term variation in
return on total capital.
Figure B2A-8 below shows trends in net profit margins and return on total capital for the pulp and paper industry
between 1992 and 2003. The table shows considerable volatility in the trend. Profitability was low between 1988
and 1993, reflecting oversupply in world markets and decreasing shipments from U.S. producers (McGraw-Hill,
2000). By the mid-1990s, financial performance improved as demand rebounded. Financial performance
weakened again in 2000 through 2003, reflecting slower growth in both the U.S. and the world economy. Coupled
with overproduction in the U.S. and global markets, these factors led to deteriorating financial performance in
these years. Industry analysts currently anticipate stronger financial performance for the pulp and paper industry
for 2004 (Value Line, 2004). With continued improvement in the U.S. economy, the outlook for the industry
should be stronger in subsequent years.
B2A-23
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Figure B2A-8: Net Profit Margin and Return on Capital for Pulp and Paper Mills
14%
12%
10%
8%
6% -
4% -
0% -
/\
/ \
/ A\
^^^ / \^\ /^ A\
/ \ ^r^r N. ^ «^
^-""> K^ /^ \ A
' * "^^^
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
— A — Return on Capital -
Pulp & Paper Mills
+ Net Profit M argin -
Pulp & Paper Mills
Source: Value Line, 1992-2003.
B2A-5 FACILITIES OPERATING COOLING WATER INTAKE STRUCTURES
Point source facilities that use or propose to use a cooling water intake structure that withdraws cooling water
directly from a surface waterbody of the United States, are potentially subject to Section 316(b) of the Clean
Water Act. In 1982, the paper and allied products industry withdrew 534 billion gallons of cooling water,
accounting for approximately 0.7 percent of total industrial cooling water intake in the United States. The industry
ranked 5th in industrial cooling water use, behind the electric power generation industry, and the chemical,
primary metals, and petroleum industries (1982 Census of Manufactures).
This section provides information for facilities in the profiled paper and allied products segments potentially
subject to the proposed regulation. Existing facilities that meet all of the following conditions are potentially
subject to the proposed regulation:4
*• Use a cooling water intake structure or structures, or obtain cooling water by any sort of contract or
arrangement with an independent supplier who has a cooling water intake structure; or their cooling water
intake structure(s) withdraw(s) cooling water from waters of the U.S., and at least twenty-five (25)
percent of the water withdrawn is used for contact or non-contact cooling purposes;
*• Have a National Pollutant Discharge Elimination System (NPDES) permit or are required to obtain one;
and
*• Have a design intake flow of greater than 2 million gallons per day (MOD).
The proposed regulation also covers substantial additions or modifications to operations undertaken at such
facilities. While all facilities that meet these criteria are subject to the regulation, this section focuses on the
estimated 235 facilities nationwide in the profiled paper and allied products segments identified in EPA's 2000
Section 316(b) Industry Survey as being potentially subject to the proposed regulation.5 Information collected in
4The proposed regulation also applies to existing electric generating facilities as well as certain facilities in the
oil and gas extraction industry. See Chapter B4 and B5 and Part C of this document for more information on these
industries.
5EPA applied sample weights to the sampled facilities to account for non-sampled facilities and facilities that
did not respond to the survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer
B2A-24
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B2A: Paper and Allied Products
the Detailed Industry Questionnaire found that an estimated 41 out of 60 Pulp Mills (68 percent), 133 out of 290
Paper Mills (46 percent), and 52 out of 190 Paperboard Mills (27 percent) meet the characteristics of a potential
Phase III facility.
B2A-5.1 Waterbody and Cooling System Type
Table B2A-11 reports the distribution of potential Phase III facilities in the profiled paper and allied products
segments by type of waterbody and cooling system. The table shows that most of the facilities have either a once-
through system (112, or 50 percent) or employ a combination of a once-through and closed system (47, or 21
percent). Thirty-one facilities (14 percent) have a recirculating system, while the remaining thirty-five facilities
(16 percent) employ some other type of cooling system. The majority of paper facilities draw water exclusively
from either a freshwater water stream or river (172, or 76 percent). All six of the facilities that withdraw from an
estuary, the most sensitive type of waterbody, use a once-through cooling system. Plants with once-through
cooling water systems withdraw between 70 and 98 percent more water than those with recirculating systems.
to the Information Collection Request (U.S. EPA, 2000).
B2A-25
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Table B2A-11: Number of Potential Phase III facilities by Water Body Type and Cooling System
for Profiled Paper and Allied Products Segments
Waterbody Type
Recirculating
No. % of Total
Combination
No. % of Total
Once-Through
No. % of Total
Other
No. % of Total
Total
Pulp Mills
Freshwater River/ Stream
Lake/ Reservoir
Great Lake
Total11
12 36%
0 0%
0 0%
12 29%
10 30%
0 0%
0 0%
10 24%
9 27%
0 0%
5 100%
14 34%
1 3%
3 100%
0 0%
4 10%
33
3
5
41
Paper Mills
Estuary/ Tidal River
Freshwater River/ Stream
Lake/ Reservoir
Great Lake
Total"
0 0%
10 11%
0 0%
0 0%
10 8%
0 0%
14 15%
7 41%
0 0%
21 16%
3 100%
54 57%
5 29%
14 78%
75 56%
0 0%
16 17%
6 35%
5 28%
27 20%
3
94
17
18
133
Paperboard Mills
Estuary/ Tidal River
Freshwater River/ Stream
Lake/ Reservoir
Total"
0 0%
9 20%
0 0%
9 17%
0 0%
16 36%
0 0%
16 31%
3 100%
18 41%
2 40%
23 44%
0 0%
2 5%
3 60%
5 10%
3
44
5
52
Total Paper and Allied Products Industry
Estuary/ Tidal River
Freshwater River/ Stream
Lake/ Reservoir
Great Lake
Total"
0 0%
31 18%
0 0%
0 0%
31 14%
0 0%
40 23%
7 29%
0 0%
47 21%
6 100%
81 47%
6 25%
18 78%
112 50%
0 0%
19 11%
1 1 46%
5 22%
35 16%
6
172
24
23
225
a Individual numbers may not add up to total due to independent rounding.
Source: U.S. EPA, 2000.
B2A-5.2 Facility Size
The 316(b) sample facilities are generally larger than facilities in the pulp and paper industry as a whole, as
reported in the Census and discussed previously:
*• Twenty-nine percent of all facilities in the Pulp Mills segment (SIC 2611) had fewer than 100 employees
in 1992, compared with 7 percent of the potential Phase III facilities.
*• Twenty-three percent of all facilities in the Paper Mills segment (SIC 2621) had fewer than 100
employees in 1992; none of the potential Phase III facilities in that segment fall into that employment
category.
B2A-26
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
*• Thirty-nine percent of all facilities in the PaperboardMills segment (SIC 2631) had fewer than 100
employees, compared with 5 percent of the potential Phase III facilities.
The majority of Section 316(b) Pulp Mills, 31 or 75 percent, employ 500 employees or greater. The Section
316(b) Paper Mills and Paperboard Mills are more evenly distributed across employment categories. Forty-five
Paper Mill facilities (34 percent) employ 250-499 employees, and 74 facilities (56 percent) employ 500
employees or more. Twenty-one, or 40 percent, of Paperboard Mills employ 250-499 employees, and 23 facilities
(43 percent) employ more than 500 employees.
Figure B2A-9 shows the number of potential Phase III facilities in the profiled pulp and paper segments by
employment size category.
Figure B2A-9: Number of Potential Phase III facilities by Employment Size
for Profiled Paper and Allied Products Segments
• Pulp Mills (SIC 2611)
• Paper Mills (SIC 2621)
DPaperboard Mills (SIC 2631)
<100
100-249 250-499 500-999 >=1000
Source: U.S. EPA, 2000.
B2A-5.3 Firm Size
EPA used the Small Business Administration (SBA) small entity size standards to determine the number of
potential Phase III facilities in the three profiled paper segments that are owned by small firms. Firms in this
industry are considered small if they employ fewer than 750 people.
Table B2A-12 shows that potential Phase III facilities in this industry are predominantly owned by large firms.
Large firms own 93 percent (38 facilities) of Pulp Mills, 86 percent (114 facilities) of Paper Mills, and all of the
Paperboard Mills. Small firms own three Pulp Mills and 18 Paper Mills.
B2A-27
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2A: Paper and Allied Products
Table B2A-12: Number of Potential Phase III facilities in Profiled Paper and Allied Products Segments
by Firm Size
SIC Code
2611
2621
2631
SIC Description
Pulp Mills
Paper Mills
Paperboard Mills
Total
Number
38
114
52
204
Large
% of SIC
93%
86%
100%
91%
Number
3
18
0
21
Small
% of SIC
7%
14%
0%
9%
Total
41
133
52
225
Source: U.S. EPA, 2000; U.S. SBA 2000; D&B, 2001.
B2A-28
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B2A: Paper and Allied Products
REFERENCES
Bureau of Labor Statistics (BLS). 2002. Producer Price Index. Series: PCU26 #-Paper and Allied Products.
Dun and Bradstreet (D&B). 2001. Data extracted from D&B Webspectrum August 2001.
Executive Office of the President. 1987. Office of Management and Budget. Standard Industrial Classification
Manual.
Federal Reserve Board. 2004. Industrial Production and Capacity Utilization. Data extracted May 11, 2004.
Available at: http://www.economagic.com/frbg 17.htm#IPMarket
Ince, Peter J. 1999. "Global cycle changes the rules for U.S. pulp and paper." PIA4A 's North American
Papermaker. December, v. 81, issue 12, p. 37.
McGraw-Hill and U.S. Department of Commerce, International Trade Administration. 2000.
U.S. Industry & Trade Outlook '00.
McNutt, Jim, Dan Cenatempo and Bob Kinstrey. 2004. "State of the North American Pulp and Paper Industry."
Presented at the Center for Paper Business and Industry Studies at Tappi Paper Summit, Atlanta, GA, May 3,
2004.
Available at:
http://www.cpbis.gatech.edu/secure/protocols/general/docs/031107State_of_the_NA_PandP_Industry_Article.pdf
Paper Age. 2004a. "The more things change." January/February. Vol. 120 No. 1.
Available at: http://www.paperage.com/issues/jan_feb2004/0l_2004patrick.html
Paper Age. 2004b. "Continued capacity declines seen in paper industry survey." Feb. 27, 2004.
Available at: http://www.paperage.com/2004news/02_27_2004capacity_survey.html
Paper Age. 2004c. "The year ahead." January/February. Vol. 120 No. 1.
Available at: http://www.paperage.com/issues/jan_feb2004/0l_2004price.html
Paperloop Inc. 2001. "Market Report: United States 3Q 2001."
Paun, D., Srivastava, V., Garth, J., Scott, E., Black, K., Dodd, A., Nguyen, L., Ganguly, I., Rice, J. & Seok, H.D.
2004. A financial review of the north american paper industry. Tappi Journal. Vol.3(1). January 2004.
Available at: http://www.tappi.org/index.asp?rc=l&pid=28430&ch=l&jp=&bhcd2=1084195150
Pponline.com. 2000. "U.S. pulp and paper industry poised for cyclical upswing." January 11, 2000.
Pponline.com. 1999. "U.S. pulp, paper, board capacity growth 'ultra slow'." December 9, 1999.
Standard & Poor's (S&P). 2004a. Stock Reports - International Paper. February 21, 2004.
Standard & Poor's (S&P). 2004b. Stock Reports - Longview Fibre. February 21. 2004.
Standard & Poor's (S&P). 2001. Industry Surveys - Paper & Forest Products. April 12, 2001.
Stanley, G.L. 2000. "Economic data for pulp and paper industry shows an encouraging future." TAPPIJournal
83(l):pp. 27-32.
U.S. Department of Commerce (U.S. DOC). 1989-2002. Bureau of the Census. Current Industrial Reports.
Survey of Plant Capacity.
B2A-29
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B2A: Paper and Allied Products
U.S. Department of Commerce (U.S. DOC). 2001. Bureau of the Census. International Trade Administration.
U.S. Department of Commerce (U.S. DOC). 1997. Bureau of the Census. 1997 Economic Census Bridge
Between NAICS and SIC.
U.S. Department of Commerce (U.S. DOC). 1989, 1992, and 1997. Bureau of the Census. Census of
Manufactures.
U.S. Department of Commerce (U.S. DOC). 1988-1991, 1993-1996, and 1998-2001. Bureau of the Census.
Annual Survey of Manufactures.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Detailed Industry Questionnaire: Phase II Cooling
Water Intake Structures.
U.S. Small Business Administration (U.S. SBA). 1989-2001. Statistics of U.S. Businesses.
Available at: http://www.sba.gov/advo/stats/int_data.html
U.S. Small Business Administration (U.S. SBA). 2000. Small Business Size Standards. 13 CFR section 121.201.
Value Line. 1992-2003. Value Line Investment Survey.
Value Line. 2003. Paper & Forest Products Industry. April 11, 2003.
Value Line. 2004. Paper & Forest Products Industry. January 9, 2004.
B2A-30
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Chapter B2B: Chemicals and Allied
Products (SIC 28)
EPA's Detailed Industry Questionnaire, hereafter
referred to as the DQ, identified thirteen 4-digit SIC
codes in the Chemical and Allied Products Industry
(SIC 28) with at least one existing facility that
operates a CWIS, holds a NPDES permit, withdraws
equal to or greater than two million gallons per day
(MOD) from a water of the United States, and uses at
least 25 percent of its intake flow for cooling
purposes (facilities with these characteristics are
hereafter referred to as facilities potentially subject to
the Phase III regulation or "potential Phase III
facilities").
For each of the fifteen SIC codes, Table B2B-1 below
provides a description of the industry segment, a list
of primary products manufactured, the total number
of detailed questionnaire respondents (weighted ro
represent national results), and the number and
percent of potential Phase III facilities.
CHAPTER CONTENTS
B2B-1 Summary Insights from this Profile
B2B-2 Domestic Production
B2B-2.1 Output
B2B-2.2 Prices
B2B-2.3 Number of Facilities and Firms . . .
B2B-2.4 Employment and Productivity
B2B-2.5 Capital Expenditures
B2B-2.6 Capacity Utilization
B2B-3 Structure and Competitiveness
B2B-3.1 Geographic Distribution
B2B-3.2 Facility Size
B2B-3.3 Firm Size
B2B-3.4 Concentration Ratios
B2B-3.5 Foreign Trade
B2B-4 Financial Condition and Performance . . .
B2B-5 Facilities Operating Cooling Water Intake
Structures
B2B-5.1 Waterbody and Cooling System
Type
B2B-5.2 Facility Size
B2B-5.3 Firm Size
References
. B2B-5
. B2B-5
. B2B-6
. B2B-9
B2B-10
B2B-12
B2B-14
B2B-16
B2B-19
B2B-19
B2B-20
B2B-21
B2B-22
B2B-24
B2B-29
B2B-31
B2B-32
B2B-33
B2B-34
B2B-36
Table B2B-1: Potential Phase III facilities in the Chemicals and Allied Products Industry (SIC 28)
SIC
SIC Description
Important Products Manufactured
Number of facilities3
Potential
Total Phase IH %
facilitiesb
Inorganic Chemicals (SIC 281)c
2812
2813
2816
2819
Alkalies and Chlorine
Industrial Gases
Inorganic Pigments
Industrial Inorganic Chemicals,
Not Elsewhere Classified
Alkalies, caustic soda, chlorine, and soda ash
Industrial gases (including organic) for sale in
compressed, liquid, and solid forms
Black pigments, except carbon black, white
pigments, and color pigments
Miscellaneous other industrial inorganic
chemicals
Total Inorganic Chemicals
28
110
26
271
435
20
4
9
30
64
70%
4%
35%
11%
75%
Plastics Material and Resins (SIC 282)
2821
Plastics Material and Synthetic
Resins, and Nonvulcanizable
Elastomers
Cellulose plastics materials; phenolic and
other tar acid resins; urea and melamine
resins; vinyl resins; styrene resins; alkyd
resins; acrylic resins; polyethylene resins;
polypropylene resins; rosin modified resins;
coumarone-indene and petroleum polymer
resins; miscellaneous resins
305
19
6%
B2B-1
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-1: Potential Phase III facilities in the Chemicals and Allied Products Industry (SIC 28)
SIC
SIC Description
Important Products Manufactured
Number of facilities3
Potential
Total Phase IH
facilitiesb
%
Organic Chemicals (SIC 286)d
2865
2869
Cyclic Organic Crudes and
Intermediates, and Organic
Dyes and Pigments
Industrial Organic Chemicals,
Not Elsewhere Classified
Aromatic chemicals, such as benzene,
toluene, mixed xylenes naphthalene, synthetic
organic dyes, and synthetic organic pigments
Aliphatic and other acyclic organic chemicals;
solvents; polyhydric alcohols; synthetic
perfume and flavoring materials; rubber
processing chemicals; plasticizers; synthetic
tanning agents; chemical warfare gases; and
esters, amines, etc.
Total Organic Chemicals
59 9
364 52
423 61
15%
14%
14%
Other Chemical Segments
2823
2824
2833
2834
2873
2899
Cellulosic Manmade Fibers
Manmade Organic Fibers,
Except Cellulosic
Medicinal Chemicals and
Botanical Products
Pharmaceutical Preparations
Nitrogenous Fertilizers
Chemicals and Chemical
Preparations, Not Elsewhere
Classified
Cellulose acetate and regenerated cellulose
such as rayon by the viscose or
cuprammonium process
Regenerated proteins, and polymers or
copolymers of such components as vinyl
chloride, vinylidene chloride, linear esters,
vinyl alcohols, acrylonitrile, ethylenes,
amides, and related polymeric materials
Agar-agar and similar products of natural
origin, endocrine products, manufacturing or
isolating basic vitamins, and isolating active
medicinal principals such as alkaloids from
botanical drugs and herbs
Intended for final consumption, such as
ampoules, tablets, capsules, vials, ointments,
medicinal powders, solutions, and
suspensions
Ammonia fertilizer compounds and
anhydrous ammonia, nitric acid, ammonium
nitrate, ammonium sulfate and nitrogen
solutions, urea, and natural organic fertilizers
(except compost) and mixtures
Fatty acids; essential oils; gelatin (except
vegetable); sizes; bluing; laundry sours;
writing and stamp pad ink; industrial
compounds; metal, oil, and water treating
compounds; waterproofing compounds; and
chemical supplies for foundries
Total Other
7 1 14%
36 13 36%
33 2 6%
91 4 5%
60 9 14%
162 4 3%
389 34 9%
Total Chemicals and Allied Products (SIC 28)
Total SIC Code 28
1,552
178
y TO/
11/0
a Number of weighted detailed questionnaire survey respondents.
b Individual numbers may not add up due to independent rounding.
c SIC code 281 is officially titled "Industrial Inorganic Chemicals." However, to avoid confusion with SIC code 2819, "Industrial
Inorganic Chemicals, Not Elsewhere Classified," this profile refers to SIC code 281 as the "Inorganic Chemicals segment."
d SIC code 286 is officially titled "Industrial Organic Chemicals." However, to avoid confusion with SIC code 2869, "Industrial
Organic Chemicals, Not Elsewhere Classified," this profile refers to SIC code 286 as the "Organic Chemicals segment."
B2B-2
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
Source: U.S. EPA, 2000; Executive Office of the President, 1987.
The table shows that an estimated 178 out of 1,552 facilities (or 11 percent) in the Chemicals and Allied Products
Industry (SIC 28) are potentially subject to the proposed Phase III regulation. EPA also estimated the percentage
of total production that occurs at facilities potentially subject to the proposed regulation. Total value of shipments
for the chemicals and allied products industry from the 1998 Annual Survey of Manufacturers is $268 billion.
Value of shipments, a measure of the dollar value of production, was selected for the basis of this estimate.
Because value of shipments data were not collected using the DQ, these data were not available for the sample of
Phase III manufacturing facilities potentially subject to the proposed regulation. Total revenue, as reported on the
DQ, was used a close approximation for value of shipments for these facilities. EPA estimated the total revenue
of facilities in the chemicals industry potentially subject to the proposed regulation is $61.2 billion. Therefore,
EPA estimates that 23 percent of total production in the chemicals industry occurs at facilities potentially subject
to the proposed regulation.
The responses to the Detailed Questionnaire indicate that three chemical segments account for 80 percent of the
chemicals industry potential Phase III facilities: (1) Inorganic Chemicals (including SIC codes 2812, 2813, 2816,
and 2819); (2) Plastics Material and Resins (SIC code 2821); and (3) Organic Chemicals (including SIC codes
2865 and 2869). Of the 177 potential Phase III facilities in the Chemical industry, 64 facilities, or 36 percent,
belong to the Inorganic Chemicals segment, 61, or 35 percent, belong to the Organic Chemicals segment, and 19,
or 11 percent, belong to the Plastics and Resins segment. This profile therefore provides detailed information for
these three industry groups.
Table B2B-2 on the following page provides the cross-walk between SIC codes and NAICS codes for the profiled
chemical SIC codes. The table shows that alkalies and chlorine (SIC 2812), industrial gases (SIC 2813), Plastics
Material and Synthetic Resins, and Nonvulcanizable Elastomers (SIC 2821) have one-to-one relationships to
NAICS codes. The other SIC codes in the three profiled chemical segments correspond to two or more NAICS
codes.
B2B-3
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-2: Relationship between SIC and NAICS Codes
Chemicals and Allied Products Industry (1997)
SIC
Code
SIC Description
NAICS
Code
NAICS Description
Establishment
s
for the
Shipments Employment
($000)
Inorganic Chemicals (SIC 281)
2812
2813
2816
2819
Alkalies and Chlorine
Industrial Gases
Inorganic Pigments
Industrial Inorganic
Chemicals, Not
Elsewhere Classified
325181
325120
325131
325182
325131
325188
325998
331311
Alkalies and chlorine
manufacturing
Industrial gas manufacturing (pt)
Inorganic dye and pigment
manufacturing (pt)
Carbon black manufacturing (pt)
Inorganic dye and pigment
manufacturing (pt)
All other basic inorganic chemical
manufacturing (pt)
All other miscellaneous chemical
product and preparation
manufacturing (pt)
Alumina refining
39
630
74
0
o
638
22
7
2,465,183 4,859
3,952,006 8,787
3,734,497 8,608
0 0
0 0
D 50,000 to 99,999
380,156 1,484
1,257,211 3,153
Plastics Material and Resins (SIC 282)
2821
Plastics Material and
Synthetic Resins, and
Nonvulcanizable
Elastomers
325211
Plastics material and resin
manufacturing
529
44;478,404 60,764
Organic Chemicals (SIC 286)
2865
2869
Cyclic Organic Crudes
and Intermediates, and
Organic Dyes and
Pigments
Industrial Organic
Chemicals, Not
Elsewhere Classified
325110
325132
325192
325110
325120
325188
325193
325199
Petrochemical manufacturing (pt)
Synthetic organic dye and
pigment manufacturing
Cyclic crude and intermediate
manufacturing
Petrochemical manufacturing (pt)
Industrial gas manufacturing (pt)
All other basic inorganic chemical
manufacturing (pt)
Ethyl alcohol manufacturing
All other basic organic chemical
manufacturing (pt)
22
122
51
32
13
2
39
654
3,665,285
2,692,860
6,571,093
16,869,465
1,279,462
D
1,287,273
52,294,254
3,007
8,681
8,183
7,936
3,705
250 to 499
1,890
86,793
D = Withheld to avoid disclosure.
Source: U.S. DOC, 1997.
B2B-4
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
B2B-1 SUMMARY INSIGHTS FROM THIS PROFILE
A key purpose of this profile is to provide insight into the ability of Chemicals firms that would be potentially
subject to the proposed Phase III regulation, to absorb compliance costs without material adverse
economic/financial effects. Two important factors in the ability of the industry's ability to withstand compliance
costs are: (1) the extent to which the industry may be expected to shift compliance costs to its customers through
price increases and (2) the financial health of the industry and its general business outlook.
Likely Ability to Pass Compliance Costs Through to Customers
As reported in the following sections of this profile, the chemicals industry has variable level of concentration,
with some industry segments exhibiting relatively low concentration while others show somewhat higher
concentration. Regardless of the domestic concentration level and its implications for market power, the U.S.
chemicals industry faces increasing competitive pressure from abroad, which substantially limits any apparent
ability of firms in this industry to pass through to customers a significant portion of their compliance-related
costs. In addition, the relatively low share of total industry output that is produced in potential Phase III facilities,
an estimated 23 percent, also argues against complying firms' ability to shift compliance costs to customers. For
these reasons, in its analysis of regulatory impacts for the chemicals industry, EPA assumed that complying firms
would be unable to pass compliance costs through to customers: i.e., complying facilities must absorb all
compliance costs within their financial condition at the time of compliance (see following sections and Appendix
3 of Chapter B3: Economic Impact Analysis for Manufacturers for further information).
Financial Health and General Business Outlook
Over the past decade, the Chemicals industry, like other U.S. manufacturing industries, has experienced a range of
economic/financial conditions, including substantial challenges. In the early 1990s, the domestic chemicals
industry was affected by reduced U.S. demand as the economy entered a recessionary period Although domestic
market conditions improved by mid-decade, an oversupply of crude oil, weakness in Asian markets, along with
other domestic factors, dealt a serious blow to refiners in 1998. More recently, as the U.S. economy began
recovery from its economic weakness, the domestic chemicals industry is showing signs of recovery with higher
demand levels and improving financial performance in 2003. Although the industry weathered difficult periods
over the past few years, the strengthening of the industry's financial condition and general business outlook
suggest improved ability to withstand additional regulatory compliance costs without a material financial impact.
B2B-2 DOMESTIC PRODUCTION
The U.S. chemical and allied products industry includes a large number of companies that, in total, produce more
than 70,000 different chemical products. These products range from commodity materials used in other industries
to finished consumer products such as soaps and detergents. The industry accounts for nearly 12 percent of U.S.
manufacturing value added, and produces approximately two percent of total national gross domestic product
(McGraw-Hill, 2000).
Raw materials containing hydrocarbons such as oil, natural gas, and coal are primary feedstocks for the
production of organic chemicals. Inorganic chemicals are chemicals that do not contain carbon but are produced
from other gases and minerals (McGraw-Hill, 2000).
The chemicals and allied products industry is highly energy intensive, consuming about 7 percent of total annual
U.S. energy output (McGraw-Hill, 2000). It is one of the largest industrial users of electric energy and also
consumes large amounts of oil and natural gas. In total, the industry accounts for approximately seven percent of
total U.S. energy consumption, including 11 percent of all natural gas use. Just over 50 percent of the industry's
energy consumption is used as feedstock in the production of chemical products. The remaining energy
consumption is for fuel and power for production processes. Oil accounts for approximately 42 percent of total
energy consumption by the industry. For some products, e.g., petrochemicals, energy costs account for up to 85
B2B-5
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
percent of total production costs. Overall, total energy costs represent seven percent of the value of chemical
industry shipments (S&P, 2001).
B2B-2.1 Output
Figure B2B-1 shows constant dollar value of shipments and value added for the three profiled segments
between 1987 and 20011. Value of shipments and value added are two common measures of manufacturing
output. They provide insight into the overall economic health and outlook for an industry. Value of shipments is
the sum of the receipts a manufacturer earns from the sale of its outputs; it indicates the overall size of a market or
the size of a firm in relation to its market or competitors. Value added measures the value of production activity
in a particular industry. It is the difference between the value of shipments and the value of inputs used to make
the products sold.
The Organic Chemicals segment experienced a decrease in both value of shipments and value added between
1988 and 1993, followed by volatility through 1998. The mid 1990s were marked by increased competition in the
global market for petrochemicals, which comprise the majority of organic chemical products. The increased
competition stems from the considerable capacity expansions for these products seen in developing nations.
(McGraw-Hill, 2000). Value of shipments for the segment increased through 2000, while value added remained
flat. Both value of shipments and value added declined significantly in 200 las the segment faced decreased
demand due to the economic slowdown.
The Plastics Material and Resins and Inorganic Chemicals segments remained somewhat more stable over the
period between 1987 and 2001. In the early 1990s, domestic producers benefitted from the relatively weak dollar,
which made U.S. products more competitive in the global market. During the later part of the 1990s, the strength
of the U.S. economy bolstered domestic end-use markets, offsetting the effect of reduced U.S. export sales, which
resulted from increased global competition and a strengthened dollar (McGraw-Hill, 2000). The global economic
slowdown that began in 2000 led to decreased production, in particular, of chemical goods that are used in the
production processes of other industries, notably steel, apparel, textiles, forest products, and technology.
Since 2000, these three segments of the chemical industry have experienced significant challenges and weakened
financial performance. In 2001, the industry faced high energy and raw material prices at the start of the year, and
overcapacity, weak demand, and slowing global economies at the end of the year. All these factors led to poor
financial results for the year (C&EN, 2001). Production increased slightly in 2002, and financial results
improved, as cost cutting efforts, including significant layoffs, improved earnings (C&EN, 2002). Firms began
2003 with hopes of a turnaround, but continued to face the same problems as the previous two years, as industry
was forced to reduce employment and spending against declining earnings (C&EN, 2003c).
Currently, the industry continues to face high raw material and energy costs, as well as an increase in competition
from abroad. The past three years have seen the industry struggle to maintain earnings against the global
economic decline. Although the U.S. economy has improved recently, the chemical industry has lagged in
increasing growth of sales and earnings. This may change in 2004, as the American Chemistry Council reported
that the chemical industry should experience positive growth only slightly lower than GDP in 2004 (C&EN,
2003c). This should better position firms to incur costs associated with regulatory compliance.
'Terms highlighted in bold and italic font are further explained in the glossary.
B2B-6
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Figure B2B-1: Value of Shipments and Value Added for Profiled Chemical Segments
(in millions, $2003)
Value of Shipments
100,000
90,000
80,000
70,000
60,000
50,000
40,000
30,000
20,000
10,000
M
•^""""^•_ *^*~~~^ -••"* \
* •"" *
. •*.
A. j^ . J.^** v*
^ ^^A — tirT •-* ^ *
A — " * ""* — * A"**-A*---A
t^OO^O-— i
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-3 provides the Federal Reserve System's index of industrial production for the three profiled
segments, which shows trends in production since 1997. This index reflects total output in physical terms,
whereas value of shipments and value added reflects the value of production. Table B2B-3 shows varying trends
in the three segments since 1997, but sharp declines in production in all three segments in 2000 or 2001. These
declines were caused by the marked slowdown in the U.S. economy, which affected demand in major chemical-
using segments such as steel, apparel, textiles, forest products, and the technology sectors (Chemical Marketing
Reporter, 2001). Production declines continued through 2001, but rebounded somewhat in 2002 before dipping
again in 2003.
Table B2B-3: Chemicals Industry Industrial Production Index
Year
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
Total Percent Change
1989-2000
Average Annual
Growth Rate
Basic Inorganic Chemicals3
Index
1997=100
105.1
111.9
106.6
107.2
102.1
96.6
97.5
98.0
100.0
105.5
106.0
96.8
95.6
95.8
92.9
-11.6%
-0.9%
Percent
Change
n/a
6.4%
-4.7%
0.6%
-4.8%
-5.4%
1.0%
0.5%
2.1%
5.5%
0.4%
-8.7%
-1.3%
0.2%
-3.0%
Plastics Material
Index
1997=100
78.8
79.6
76.5
83.2
81.7
93.2
93.9
91.0
100.1
107.9
112.4
112.3
100.2
105.8
104.3
32. 3%
2.0%
and Resinsb
Percent
Change
n/a
1.0%
-3.8%
8.7%
-1.9%
14.1%
0.8%
-3.2%
10.1%
7.8%
4.1%
-0.1%
-10.8%
5.5%
-1.4%
Organic Chemicals0
Index
1997=100
89.6
91.6
87.7
89.1
86.4
91.2
90.4
90.2
100.0
92.2
99.1
99.9
88.2
94.9
94.6
5.6%
0.4%
Percent
Change
n/a
2.3%
-4.3%
1.6%
-3.0%
5.5%
-0.8%
-0.3%
10.9%
-7.8%
7.5%
0.8%
-11.7%
7.5%
-0.3%
"IncludesNAICS 32512-8.
b Includes NAICS 325211.
c Includes NAICS 32511,9.
Source: Federal Reserve Board, 2004.
B2B-8
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
B2B-2.2 Prices
The producer price index (PPI) measures price changes, by segment, from the perspective of the seller, and
indicates the overall trend of product pricing, and thus supply-demand conditions, within a segment.
Figure B2B-2 shows the producer price index for the profiled chemical segments. Selling prices for the products
of the Organic and Inorganic Chemicals segments increased from 1987 to 1989 and remained stable through
1994. Between 1994 and 1995, prices increased sharply, followed by a period of relatively stable prices through
1999. The sharp price rises for Organic Chemicals and Plastics Material and Resins in 2000 resulted in part from
increases in the price of natural gas, which is the feedstock for 70 percent of U.S. ethylene production. High
natural gas prices put U.S. organic chemicals and, to a lesser extent, plastic resin producers at a disadvantage
relative to foreign producers who rely on naphta and gas oil as a feedstock. Natural gas prices declined, however,
in 2001 easing pressure on U.S. producers (Chemical Marketing Reporter, 2001). Price increases for Plastics
Material and Resins also reflected a shift by U.S. producers away from production of commodity resins to
speciality and higher-value-added products (McGraw-Hill, 2000). Prices for Plastics Material and Resins
followed a trend similar to the other two chemical industry segments but with larger fluctuations (see Figure B2B-
2). For the chemical industry in general, prices rose 4 percent in 2002, increased further in 2003, with the
producer price index reaching 165 (C&EN, 2003c).
Chemical and plastics prices fluctuate in large part as a result of varying energy prices. Basic petrochemicals,
which comprise the majority of organic chemical products, depend heavily on energy commodities as inputs to
the production process - energy input costs may account for up to 85 percent of total product costs. The prices of
natural gas and oil therefore influence the production costs and the selling price for these products. High basic
petrochemical prices affect prices for chemical intermediates and final end products, including organic chemicals
and plastics.
Another factor influencing prices for commodity chemical products is the cyclical nature of market supply and
demand conditions. The Plastics, Organic Chemicals, and Inorganic Chemicals segments are characterized by
large capacity additions which can lead to fluctuations in prices in response to imbalances in supply and demand.
B2B-9
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Figure B2B-2: Producer Price Indexes for Profiled Chemical Segments
- Plastics M aterial and
Resins (SIC 2821)
- Organic Chemicals
(SIC 2865, 2869)
- Inorganic Chemicals
(SIC 2812, 2813,
2816,2819)
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
a Indices are an average of each SIC code's PPI within each segment
Source: BLS, 2002.
B2B-2.3 Number of Facilities and Firms
According to the Statistics of U.S. Businesses, the number of facilities in the Inorganic Chemicals segment
remained relatively stable between 1989 and 1997, followed by four consecutive years of decreases in the number
of facilities. The other two segments saw overall increases in the number of facilities over the 1989 to 2001 time
period, though the Organic Chemicals segment saw declines in 1999 through 2001. The Plastics Material and
Resins segment saw significant increases in the number of facilities reported between 1993 and 1996, reflecting
growth in the demand for plastics in a number of end-uses (McGraw-Hill, 2000). Table B2B-4 shows the
downward trend in the number of facilities producing inorganic chemical products following a peak in 1991. The
decrease is partly attributable to the consolidation within the Inorganic Chemicals segment (S&P, 2001).
B2B-10
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-4: Number of Facilities for Profiled Chemical Segments3
Year
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998b
1999b
2000b
2001b
Total Percent Change
1989-2001
Average Annual Growth
Rate
Inorganic Chemicals
Number of
Facilities
1,387
1,421
1,508
1,466
1,476
1,460
1,425
1,396
1,414
1,310
1,309
1,300
1,266
-8.7%
-0.8%
Percent
Change
n/a
2.5%
6.1%
-2.8%
0.7%
-1.1%
-2.4%
-2.0%
1.3%
-7.3%
-0.1%
-0.7%
-2.6%
Plastics Material
Number of
Facilities
504
517
529
460
502
499
558
630
593
565
586
597
621
23.2%
1.8%
and Resins
Percent
Change
n/a
2.6%
2.3%
-13.0%
9.1%
-0.6%
11.8%
12.9%
-5.9%
-4.7%
3.7%
1.9%
4.0%
Organic
Number of
Facilities
844
837
851
888
908
902
907
868
945
1,093
1,076
1,072
1,064
26.1%
2.0%
Chemicals
Percent
Change
n/a
-0.8%
1.7%
4.3%
2.3%
-0.7%
0.6%
-4.3%
8.9%
15.6%
-1.5%
-0.4%
-0.7%
a The Statistics of U.S. Business is derived from Census County Business Patterns data, and reports somewhat different numbers of
firms and facilities than other Census data sources.
b Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
The trend in the number of firms between 1989 and 2001 is similar to the number of facilities. The number of
firms in the Inorganic Chemicals segment peaked in 1992 and has trended downward since. The Organic
Chemicals segment showed more volatility before peaking in 1998 with 710 firms; since then, the number of
firms has declined somewhat. The number of firms in the Plastics Material and Resins segment increased
substantially between 1993 and 1996, from 284 to 403 firms, before decreasing in the next two years. Starting in
1999, the Plastics Material and Resins segment showed three years of positive growth in the number of firms.
Table B2B-5 on the following page shows the number of firms in the three profiled chemical segments between
1990 and 2001.
B2B-11
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-5: Number of Firms for Profiled Chemical Segments3
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998b
1999b
2000b
200 lb
Total Percent Change
1990-2001
Average Annual
Growth Rate
Inorganic Chemicals
Number of
Firms
640
678
699
683
677
657
625
611
618
609
611
606
-5.4%
-0.5%
Percent
Change
n/a
5.9%
3.1%
-2.3%
-0.9%
-3.0%
-4.9%
-2.2%
1.1%
-1.3%
0.2%
-0.8%
Plastics Material and Resins
Number of
Firms
301
319
255
284
295
343
403
358
322
337
352
375
24.6%
2.0%
Percent
Change
n/a
6.0%
-20.1%
11.4%
3.9%
16.3%
17.5%
-11.2%
-10.1%
4.7%
4.5%
6.5%
Organic
Number of
Firms
579
584
611
648
644
644
596
674
710
684
683
692
79.5%
1.6%
Chemicals
Percent
Change
n/a
0.9%
4.6%
6.1%
-0.6%
0.0%
-7.5%
13.1%
5.3%
-3.6%
-0.1%
1.3%
a The Statistics of U.S. Business is derived from Census County Business Patterns data, and reports somewhat different numbers of
firms and facilities than other Census data sources.
b Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
B2B-2.4 Employment and Productivity
Figure B2B-3 below provides information on employment from the Annual Survey of Manufactures. With the
exception of minor short-lived fluctuations, employment in the Organic Chemicals and Plastics Material and
Resins segments remained relatively stable between 1988 and 2000 before seeing declines of greater than 4.5
percent in 2001. The Inorganic Chemicals segment, however, experienced a significant decrease in employment
from 103,400 to 80,200 employees over the 1992 to 1996 period. This decrease reflects the industry's
restructuring and downsizing efforts intended to reduce costs in response to competitive challenges. Employment
in this segment remained fairly constant over the next two years before experiencing three years of employment
declines greater than 4 percent through 2001. From 1987 to 2001, the Inorganic Chemicals segment had the
largest overall decrease in employment at 23 percent. The Organic Chemicals segment employment declined 6.4
percent, while the Plastics Material and Resins segment was the only segment to increase employment, rising just
over 4 percent for the period.
The chemical industry continued to experience more layoffs since 2001 as firms sought to improve financial
performance by reducing employment costs. Both 2002 and 2003 saw workforce reductions, though not as severe
as 2001, as firms shut plants or reduced operations (C&EN, 2003c).
B2B-12
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
100
60 -
40
20
o
Figure B2B-3: Employment for Profiled Chemical Segment
B _
*\_^^M^^ "^" *"""*••---•
'••
^^^*— - ».--•*-.
A ^ *A"-*.
* ~-*A
^ ^ * • ^^^ ^^v^^^-** --+--. -^* - - +„
t~^ OO ^ O •— i (N m '^-W-i^Dt^OO^O'— i
oooooo^^^^ c^^^^^^oo
^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ o o
sa
(OOOs)
• Organic Chemicals
(SIC 2865, 2869)
(NAICS to SIC)
A Inorganic Chemicals
(SIC 2812, 2813,
2816, 2819)
- - -A- - - Inorganic Chemicals
(NAICS to SIC)
+ Plastics Material
and Resins (SIC
2821)
+ Plastics Materials
and Resins (NAICS
to SIC)
^Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991,1993-1996, and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
Table B2B-6 presents the change in value added per labor hour, a measure of labor productivity, for each of
the profiled industry segments between 1988 and 2001. The trends in each segment show considerable volatility
through the 1990s into the 2000s . The gains in productivity in the Inorganic Chemicals segment reflect firms'
attempts to reduce costs by restructuring production and materials handling processes in response to maturing
domestic markets and increased global competition (S&P, 2001). Over the 1988 to 2001 period, two segments,
Plastics Material and Resins and Organic Chemicals, saw decreases of 15 and 31 percent, respectively, to value
added per labor hour. The Inorganic Chemicals segment, however, improved 10 percent over the same
timeframe.
B2B-13
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-6: Productivity Trends for Profiled Chemical Segments ($2003)
Year
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999"
2000a
2001a
Total
Percent
Change
1988-2001
Average
Annual
Percent
Change
Inorganic Chemicals
Value
Added
(mill.)
17,923
19,366
20,848
19,673
20,437
18,974
17,626
18,667
18,650
19,204
25,247
18,097
15,042
15,112
-16%
-1%
Prod.
Hours
(mill.)
114
109
115
121
120
108
101
100
97
91
92
88
94
87
-23%
-2%
Value
Added/Hour
(S/hr.)
158
178
182
163
170
176
175
186
193
211
276
206
161
173
10%
1%
Percent
Change
13%
2%
-11%
4%
3%
-1%
7%
3%
9%
31%
-25%
-22%
8%
Plastics Material and Resins
Value
Added
(mill.)
18,420
17,472
15,792
13,778
15,281
14,289
17,914
20,195
17,235
19,517
20,886
20,075
19,397
15,639
-75%
-7%
Prod.
Hours
(mill.)
80
84
83
81
79
81
89
92
81
84
83
84
87
80
0%
0%
Value
Added/Hour
(S/hr.) Percent
Change
231
209 -10%
191 -8%
171 -11%
195 14%
177 -9%
200 13%
221 10%
214 -3%
234 9%
251 8%
238 -5%
223 -6%
196 -12%
-75%
-7%
Organic
Chemicals
Value
Value
Added
(mill.)
37,268
39,128
36,869
32,628
31,609
31,542
34,066
38,820
32,022
39,181
31,727
32,776
32,973
22,768
-39%
-4%
Prod.
Hours
(mill.)
152
155
156
156
155
156
146
148
158
150
147
143
138
134
-77%
-7%
Added/Hour
(S/hr.)
246
253
237
209
203
202
234
263
203
261
216
230
238
169
-31%
-3%
Percent
Change
3%
-7%
-12%
-3%
-1%
16%
12%
-23%
29%
-17%
6%
4%
-29%
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
B2B-2.5 Capital Expenditures
The chemicals industry is relatively capital-intensive. According to the Census's 2001 Annual Survey of
Manufactures, facilities in NAICS 325, which includes all the profiled chemical SIC codes, had aggregate capital
spending of almost $19 billion in 2001. Capital-intensive industries are characterized by large, technologically
complex manufacturing facilities which reflect the economies of scale required to manufacture products
efficiently. New capital expenditures are needed to extensively modernize, expand, and replace existing
capacity to meet growing demand. All three profiled chemical industry segments experienced substantial
increases in capital expenditures through the 1990s. Table B2B-7 on the following page shows that capital
expenditures in the Inorganic Chemicals segment increased, in real terms, from $1.146 billion in 1987 to $2.642
B2B-14
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
billion in 1998. Although the following three years saw declines in capital expenditures, the Inorganic Chemicals
segment increased capital expenditures by 80 percent from 1987 to 2001. The Plastics segment more than
doubled its capital expenditures from 1987 through 1999, before significant reductions occurred in the subsequent
two years. The Organic Chemicals segment peaked in 1996, and has seen its capital expenditures declining since,
particularly in 2000 and 2001, for an overall decline of almost 18 percent from 1988 to 2001. Much of the growth
in capital expenditures was driven by investment in capacity expansions to meet the increase in global demand for
chemical products. Domestically, the continued substitution of synthetic materials for other basic materials and
rising living standards caused consistent growth in the demand for chemical commodities (S&P, 2001). As the
economy slowed in 2000, chemical industry firms curtailed capital expenditures in the face of weakening
financial performance. As the economy picked up steam, an early 2003 survey of 19 chemical companies found
that businesses sought to start increasing capital projects in 2003 (C&EN, 2003b).
B2B-15
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-7: Capital Expenditures for Profiled Chemical Segments (in millions, $2003)
Year
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999a
2000a
200 r
Total Percent
Change 1987-2001
Average Annual
Growth Rate
Inorganic Chemicals
Capital
Expenditures
1,146
1,170
1,799
1,721
1,722
1,900
1,410
1,527
1,959
2,254
2,211
2,642
2,236
2,186
2,067
80.4%
4.3%
Percent
Change
2.1%
53.7%
-4.3%
0.1%
10.4%
-25.8%
8.3%
28.3%
15.0%
-1.9%
19.5%
-15.3%
-2.2%
-5.4%
Plastics Material
Capital
Expenditures
1,800
2,241
2,644
3,155
2,817
2,088
2,302
2,968
2,666
3,134
3,238
3,757
4,039
2,371
1,812
0.6%
0.0%
and Resins
Percent
Change
24.5%
18.0%
19.3%
-10.7%
-25.9%
10.3%
28.9%
-10.2%
17.6%
3.3%
16.0%
7.5%
-41.3%
-23.6%
Organic
Capital
Expenditures
4,441
5,473
6,618
6,570
5,818
4,815
4,107
5,610
7,027
6,438
5,470
5,033
4,834
3,687
-17.0%
-1.4%
Chemicals
Percent
Change
23.2%
20.9%
-0.7%
-11.4%
-17.2%
-14.7%
36.6%
25.3%
-8.4%
-15.0%
-8.0%
-4.0%
-23.7%
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
B2B-2.6 Capacity Utilization
Capacity utilization measures actual output as a percentage of total potential output given the available
capacity. Capacity utilization reflects excess or insufficient capacity in an industry and is an indication of
whether new investment is likely. To take advantage of economies of scale, chemical commodities are typically
produced in large facilities. Capacity additions in this industry are often made on a relatively large scale and can
substantially affect the industry's capacity utilization rates. Figure B2B-4 presents the capacity utilization index
from 1989 to 2002 for specific 4-digit SIC codes within each of the profiled segments in the chemicals industry.
Capacity utilization in the Organic Chemicals segment remained the most stable through this time period with
only moderate fluctuations between 1989 and 1999, followed by decreased utilization rates in 2000 and 2001,
before rebounding in 2002. Plastics Material and Resins capacity utilization showed a downward trend, as the
production of many commodity resins shifted overseas. U.S. producers responded by emphasizing the
manufacture of speciality and higher-value-added products and by rationalizing capacity to improve profitability
(McGraw-Hill, 2000).
B2B-16
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
Overall, the Inorganic Chemicals segment demonstrated the most volatility in capacity utilization between 1989
and 2002. The chlor-alkali industry (SIC code 2812) experienced an almost consistent decline in capacity
utilization since its high of 96 percent from 1992 through 1994. This decrease reflects the enactment of treaties
and legislation designed to reduce the emission of chlorinated compounds into the environment. These
regulations decreased the demand for chlorine which, together with caustic soda, accounts for more than 75
percent of production by this segment. The significant increase in capacity utilization in the industrial gases
segment (SIC code 2813) in the mid 1990s reflects the expansion of key intermediate purchasers of chemical
commodities such as the primary metals and electronics industries. As these markets and the economy in general
started to slow, utilization rates declined as well. Similarly, capacity utilization in the pigments and other
inorganic chemicals segments (SIC codes 2816 and 2819) remained relatively stable between 1989 and 1998,
before dropping in the early 2000s. The stability in these segments through 1999 reflects the fact that these are
essentially mature markets where the demand for products tends to track growth in gross domestic product (GDP)
(McGraw-Hill 2000). As the economy continued its sluggish performance in the early 2000s, utilization within
this segment dampened, as demand for product decreased.
B2B-17
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Figure B2B-4: Capacity Utilization Rates (Fourth Quarter) for Profiled Chemical Segments
1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
-• Inorganic Pigments (SIC 2816)
-•— Inorganic Pigments (NAICS to
SIC)
-A Alkalies and Chlorine (SIC
2812)
-A- - - Alkalies and Chlorine (NAICS
to SIC)
-• Industrial Gases (SIC 2813)
Industrial Gases (NAICS to
SIC)
-Industrial Inorganic Chemicals,
NEC (SIC 2819)
Industrial Inorganic Chemicals,
NEC (NAICS to SIC)
95
90
85 -
80
75
70 -
65 -
60
« ,,
\
V *-v
~-. .-•*
1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
• Plastics M aterial and Resins
(SIC 2821)
(NAICS to SIC)
-Cyclic Organic Crudes and
Intermediates (SIC 2865)
Cyclic Organic Crudes and
Intermediates (NAICS to
SIC)
-Industrial Organic
Chemicals, NEC (SIC 2869)
Industrial Organic
Chemicals, NEC (NAICS to
SIC)
1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1989-2002.
B2B-18
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
B2B-3 STRUCTURE AND COMPETITIVENESS
The chemicals industry continues to restructure and reduce costs in response to competitive challenges, including
global oversupply for commodities. In the early 1990s, the chemical industry's cost-cutting came largely from
restructuring and downsizing. The industry has taken steps to improve productivity, and consolidated to cut costs.
Companies seeking growth within these relatively mature industry segments have made acquisitions to achieve
production or marketing efficiencies. The Plastics Material and Resins segment, for example, experienced sizable
consolidations in the late 1990s into 2000 (S&P, 2001).
B2B-3.1 Geographic Distribution
Chemical manufacturing facilities are located in every state, but almost two-thirds of U.S. chemical production is
concentrated in ten states. Given the low value of many commodity chemicals and the handling problems posed
by products such as industrial gases, nearly two-thirds of the tonnage shipped was transported less than 250 miles
in 1998 (S&P, 2001).
Facilities producing cyclic crudes and intermediates (SIC 2865) and unclassified industrial organic chemicals, not
elsewhere classified (SIC 2869), are concentrated in Texas, New Jersey, Ohio, California, New York, and Illinois.
Facility sites are typically chosen for their access to raw materials such as petroleum and coal products and to
transportation routes. In addition, since much of the market for organic chemicals is the chemical industry,
facilities tend to cluster near such end-users (U.S. EPA, 1995a).
Inorganic Chemicals facilities are typically located near consumers and, to a lesser extent, raw materials. The
largest use of inorganic chemicals is in industrial processes for the manufacture of chemicals and nonchemical
products. Facilities are therefore concentrated in the heavy industrial regions along the Gulf Coast, both East and
West coasts, and the Great Lakes region. Since a large portion of inorganic chemicals are used by the organic
chemicals manufacturing segment, the geographical distribution of Inorganic Chemicals facilities is very similar
to that of Organic Chemicals facilities (U.S. EPA, 1995b). Facilities in the Plastics Material and Resins segment
are concentrated in the heavy industrial regions, similar to both the Organic Chemicals and Inorganic Chemicals
facilities.
Figure B2B-5 shows the distribution of all facilities by State in the profiled chemical segments, based on the 1992
Census of Manufactures.2
2 The 1992 Census of Manufactures is the most recent data available by SIC code and State.
B2B-19
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Figure B2B-5: Number of Chemical Facilities by State for Profiled Chemical Segments
Nimber of Facilities
| 10-14
| |15-50
| | 51 -102
| | 103-184
^m 185 - 296
Source:
U.S. DOC, 1987, 1992, and 1997.
B2B-3.2 Facility Size
Facility size can be expressed by the number of employees and/or by the total value of shipments, with the most
accurate depiction of size being a combination of both. The three profiled chemicals industry segments are
characterized by a large number of small facilities, with more than 67 percent of facilities employing fewer than
50 employees and only eight percent employing 250 or more employees. However, the larger facilities in the
three segments account for the majority of the industries' output. This fact is most pronounced in the Inorganic
Chemicals segment where facilities with fewer than 20 employees account for 63 percent of all facilities but for
only 8 percent of the industry's value of shipments. In the Organic Chemicals segment, approximately 29 percent
of all facilities employ 100 employees or more. These facilities account for about 87 percent of the value of
shipments for the industry. Similarly, facilities in the Plastics Material and Resins segment with more than 100
employees account for only 29 percent of all facilities but for 80 percent of the industry's value of shipments (see
Figure B2B-6 below).
B2B-20
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Figure B2B-6: Number of Facilities and Value Added by Employment Size Category in 1992"
for Profiled Chemical Segments
Number of Facilities
] Inorganic Chemicals (SIC
2812,2813,2816,2819)
] Plastics (SIC 2821)
1 Organic Chemicals (SIC
2865,2869)
1-19
20-49
50-99 100-249 250-499 500-999
1,000-
2,499
2,500+
Value of Shipments (in millions)
| Inorganic Chemicals (SIC
2812, 2813, 2816, 2819)
IPlastics (SIC 2821)
| Organic Chemicals (SIC
2865,2869)
1-19 20-49 50-99 100-249 250-499 500-999 1,000- 2,500+
2,499
a The 1992 Census of Manufactures is the most recent data available by SIC code and facility employment size.
Source: U.S. DOC, 1987, 1992, and 1997.
B2B-3.3 Firm Size
The Small Business Administration (SBA) defines small firms in the chemical industries according to the firm's
number of employees. Firms in the Inorganic Chemicals segment (SIC codes 2812, 2813, 2816, 2819) and in
Industrial Organic Chemicals, NEC (SIC code 2869) are defined as small if they have 1,000 or fewer employees;
firms in Plastics Material and Resins (SIC 2821) and Cyclic Organic Crudes and Intermediates (SIC code 2865)
are defined as small if they have 750 or fewer employees. The size categories reported in the Statistics of U.S.
Businesses (SUSB) do not correspond with the SBA size classifications, therefore preventing precise use of the
SBA size threshold in conjunction with SUSB data.
B2B-21
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
The SUSB data presented in Table B2B-8 show that in 2001, 481 of 606 firms in the Inorganic Chemicals
segment had less than 500 employees. Therefore, at least 79 percent of firms in this segment were classified as
small. These small firms owned 555 facilities, or 44 percent of all facilities in the segment. In the Plastics and
Resins Industry segment, 299 of 375 firms, or 80 percent, had less than 500 employees in 2001. These small
firms owned 330 of 621 facilities (53 percent) in the segment. In the Organic Chemicals segment, 74 percent of
facilities (512 of 692) had fewer than 500 employees, owning 52 percent of all facilities in that segment.
Table B2B-8 below shows the distribution of firms, facilities, and receipts in the Inorganic Chemicals, Plastics
Material and Resins, and Organic Chemicals segments by the employment size of the parent firm.
Table B2B-8: Number of Firms, Facilities and Estimated Receipts by Firm Size Category
for Profiled Chemical Segments (2001)
Employment
Size Category
0-19
20-99
100-499
500+
Total
Inorganic
No. of
Firms
288
129
64
125
606
Chemicals
Number of
Facilities
290
162
103
711
1,266
Plastics Material and
Resins
No. of Number of
Firms
156
97
46
76
375
Facilities
156
101
73
291
621
Organic
No. of
Firms
111
156
79
180
692
Chemicals
Number of
Facilities
278
168
111
507
1,064
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been
compiled in the North American Industry Classification System (NAICS). For this analysis, EPA converted the
NAICS classification data to the SIC code classifications using the 1997 Economic Census Bridge Between NAICS
and SIC.
Source: U.S. SBA, 1989-2001.
B2B-3.4 Concentration Ratios
Concentration is the degree to which industry output is concentrated in a few large firms. Concentration is
closely related to entry barriers with more concentrated industries generally having higher barriers.
The four-firm concentration ratio (CR4) and the Herfindahl-Hirschman Index (HHI) are common
measures of industry concentration. The CR4 indicates the market share of the four largest firms. For example, a
CR4 of 72 percent means that the four largest firms in the industry account for 72 percent of the industry's total
value of shipments. The higher the concentration ratio, the less competition there is in the industry, other things
being equal3. An industry with a CR4 of more than 50 percent is generally considered concentrated. The HHI
indicates concentration based on the largest 50 firms in the industry. It is equal to the sum of the squares of the
market shares for the largest 50 firms in the industry. For example, if an industry consists of only three firms with
market shares of 60, 30, and 10 percent, respectively, the HHI of this industry would be equal to 4,600 (602 + 302
+ 102). The higher the index, the fewer the number of firms supplying the industry and the more concentrated the
industry. Based on the U.S. Department of Justice's guidelines for evaluating mergers, markets in which the HHI
3Note that the measured concentration ratio and the HHF are very sensitive to how the industry is defined. An industry with a high
concentration in domestic production may nonetheless be subject to significant competitive pressures if it competes with foreign producers
or if it competes with products produced by other industries (e.g., plastics vs. aluminum in beverage containers). Concentration ratios
based on share of domestic production are therefore only one indicator of the extent of competition in an industry.
B2B-22
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
is under 1000 are considered unconcentrated, markets in which the HHI is between 1000 and 1800 are considered
to be moderately concentrated, and those in which the HHI is in excess of 1800 are considered to be concentrated.
Of the profiled chemicals and allied products segments, as shown in Table B2B-9, only Alkalies and Chlorine
(SIC 2812), Industrial Gases (SIC 2813), and Inorganic Pigments (SIC 2816) would be considered concentrated
based on their CR4 and HHI values. In contrast, Industrial Inorganic Chemicals, NEC (SIC 2819), Plastics
Material and Resins (SIC 2821), Cyclic Crudes and Intermediates (SIC 2865), and Industrial Organic Chemicals,
NEC (SIC 2869) would be considered competitive. The diversity of products in some of the profiled segments,
however, makes generalizations about concentration less reliable than in industries with a more limited product
slate. That is, within a single SIC code, the numbers of producers may vary substantially by individual product -
firms may possess relatively high market power in products with a smaller number of competing producers even
though the total SIC code would appear to have a relatively low concentration. On the basis of concentration
information, some industry segments would therefore appear to be moderately concentrated; accordingly, firms in
these segments might possess a moderate degree of market power and thus the ability to pass compliance costs
through to customers as price increases. However, as discussed above and more specifically in the following
section, competition from foreign producers in both domestic and export markets, increasingly restrains any
discretionary pricing power of U.S. firms in the profiled industry segments.
B2B-23
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
Table B2B-9: Selected Ratios for Four-Digit SIC Codes for Profiled Chemical Segments, 1987 and 1992a
SIC Code
Year
Concentration Ratios
4 Firm 8 Firm 20 Firm 50 Firm Herfindahl-
(CR4) (CR8) (CR20) (CR50) Hirschman Index
Inorganic Chemicals
2812
2813
2816
2819
1987
1992
1987
1992
1987
1992
1987
1992
72%
75%
77%
78%
64%
69%
38%
39%
93%
90%
88%
91%
76%
79%
49%
50%
99%
99%
95%
96%
94%
93%
68%
68%
100%
100%
98%
99%
99%
99%
84%
85%
2,328
1,994
1,538
1,629
1,550
1,910
468
677
Plastics Material and Resins
2821
1987
1992
20%
24%
33%
39%
61%
63%
89%
90%
248
284
Organic Chemicals
2865
2869
1987
1992
1987
1992
34%
31%
31%
29%
50%
45%
48%
43%
77%
72%
68%
67%
96%
94%
86%
86%
542
428
376
336
a The 1992 Census of Manufactures is the most recent concentration ratio data available by SIC code.
Source: U.S. DOC, 1987, 1992, and 1997.
B2B-3.5 Foreign Trade
The chemicals industry is the largest exporter in the United States. The industry generates more than 10 percent
of the nation's total exports, and overseas sales constitute a growing share of U.S. chemical company revenues.
The major U.S. producers still derive 50 percent or more of their revenue from domestic sales, however (S&P,
2001).
This profile uses two measures of foreign competition: export dependence and import penetration.
Import penetration measures the extent to which domestic firms are exposed to foreign competition in domestic
markets. Import penetration is calculated as total imports divided by total value of domestic consumption in that
industry: where domestic consumption equals domestic production plus imports minus exports. Theory suggests
that higher import penetration levels will reduce market power and pricing discretion because foreign competition
limits domestic firms' ability to exercise such power. Firms belonging to segments in which imports account for
a relatively large share of domestic sales would therefore be at a relative disadvantage in their ability to pass-
through costs because foreign producers would not incur costs as a result of the Phase III regulation. The
estimated import penetration ratio for the entire U.S. manufacturing sector (NAICS 31-33) for 2001 is 22 percent.
For characterizing the ability of industries to withstand compliance cost burdens, EPA judges that industries with
B2B-24
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
import ratios close to or above 22 percent would more likely face stiff competition from foreign firms and thus be
less likely to succeed in passing compliance costs through to customers.
Export dependence, calculated as exports divided by value of shipments, measures the share of a segment's sales
that is presumed subject to strong foreign competition in export markets. The Phase III regulation would not
increase the production costs of foreign producers with whom domestic firms must compete in export markets.
As a result, firms in industries that rely to a greater extent on export sales would have less latitude in increasing
prices to recover cost increases resulting from regulation-induced increases in production costs. The estimated
export dependence ratio for the entire U.S. manufacturing sector for 2001 is 15 percent. For characterizing the
ability of industries to withstand compliance cost burdens, EPA judges that industries with export ratios close to
or above 15 percent are at a relatively greater disadvantage in potentially recovering compliance costs through
price increases since export sales are presumed subject to substantial competition from foreign producers.
Table B2B-10 presents trade statistics for each of the profiled chemical segments. Both export dependence and
import penetration experienced increases in each of these segments between 1989 and 2001.
Globalization of markets has become a key factor in the Inorganic Chemicals segment, with both import
penetration and export dependence growing substantially over the 13-year analysis period. During this period,
imports rose by almost 12 percent, while exports has climbed 5 percent. The greater growth in imports
underscores the increasing competition from foreign producers in domestic markets.
Increased globalization has also affected the Plastics Material and Resins segment. Imports and exports of
plastics and resins have increased significantly over the time period, reflecting the continued growth in the global
market. Of the three profiled chemical segments, this segment has shown the largest overall increases in values of
imports and exports with total growth of 177 percent and 65 percent, respectively, from 1989 through 2001.
Import penetration grew more quickly than export dependence in this segment due to declining export
opportunities and increased competition from new foreign capacity. The United States remained a net exporter of
plastics and resins, despite these trends. The market for organic chemicals, particularly petrochemicals, has
become increasingly competitive. Significant capacity expansions for petrochemicals worldwide increased
competition in domestic markets from imports and began to limit export opportunities for U.S. producers.
Through 1999, the segment still exported more than it imported. This balance recently changed though as imports
exceeded exports in both 2000 and 2001. From 1989 through 2001, imports in this segment grew by 165 percent,
while export growth was at 43 percent.
In 2001, the Inorganic Chemicals segment's import penetration ratio was 26.9 percent, while the Organic
Chemicals segment's import penetration ratio was slightly lower at 25.9 percent. Both segments likely face
strong competition from foreign firms in U.S. markets. The Plastics Material and Resins segment had an import
penetration ratio of 14.3 percent in 2001, suggesting this segment does not presently face strong competition from
foreign firms' presence in U.S. markets. However, the import penetration ratio nearly doubled in the decade from
1991 to 2001, which could indicate that foreign firms have begun aggressive pursuit of these U.S. markets. In
2001, the export dependence ratio was 28.2 percent for the Inorganic Chemicals segment, 26.1 percent for the
Plastics Material and Resins segment, and 24.2 percent for the Organic Chemicals segment. All three segments
likely face significant competitive pressure in retaining these positions in export markets. Given these levels of
exposure to competition from foreign firms in domestic and export markets, the profiled chemicals industry
segments likely have little discretionary power to recover compliance costs through price increases.
Recent trends in international chemicals markets imply that U.S. producers will continue to face strong
competition from foreign producers. The industry's trade balance declined in 2000, due to increased imports
from Western Europe, encouraged by the strong U.S. dollar relative to the Euro, and growth in the petrochemical
industry in the Middle East. Declines in the dollar relative to the Euro improved export performance somewhat,
but decline in the global economy resulted in mixed trade performance in 2001 (Chemical Market Reporter,
2001). In 2002, the chemical industry's traditional trade surplus reversed, reaching a deficit of around $4 billion
(C&EN, 2003a). After nine months of 2003, the deficit had ballooned to $7.7 billion (C&EN, 2003c).
B2B-25
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-10: Trade Statistics for Profiled Chemical Segments
Year
17 i t- <. 17 i f .^ Value of Implied
Value of imports Value of exports ,. , _ ,.
, .„. «<.•;,»«»-»•> i -11- / v / (millions, $2003) Consumption
Import
Penetration1"
Export
Dependence0
Inorganic Chemicals, Except Pigments
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998d
1999d
2000d
200 ld
Total Percent
Change 1989-2001
Average Annual
Growth Rate
5,688
5,599
5,360
5,095
4,828
5,510
6,432
7,036
5,811
5,832
5,812
6,630
6,363
11.9%
0.9%
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998d
1999d
2000d
200 ld
Total Percent
Change 1989-2001
Average Annual
Growth Rate
2,089
2,345
2,221
2,522
3,010
3,839
4,685
4,701
4,866
4,948
5,210
6,090
5,791
777.2%
8.9%
6,457
6,037
6,243
6,274
5,764
6,104
7,087
7,174
6,904
6,119
5,822
6,658
6,784
5.7%
ft 7%
Plastics
7,424
8,110
9,237
8,570
8,584
9,864
11,857
11,918
12,024
11,252
11,268
13,093
12,258
65.1%
3.3%
28,357
30,414
29,492
29,416
27,570
25,373
26,895
27,323
28,100
34,163
27,051
24,679
24,049
Material and Resins
44,728
40,564
36,991
38,286
37,710
43,667
49,844
45,139
50,079
49,314
50,230
55,167
46,924
27,588
29,976
28,609
28,237
26,634
24,779
26,240
27,185
27,007
33,876
27,041
24,651
23,628
-14.4%
-1.6%
39,393
34,799
29,975
32,238
32,136
37,642
42,672
37,922
42,921
43,010
44,172
48,164
40,457
2.7%
2.7%
20.6%
18.7%
18.7%
18.0%
18.1%
22.2%
24.5%
25.9%
21.5%
17.2%
21.5%
26.9%
26.9%
5.3%
6.7%
7.4%
7.8%
9.4%
10.2%
11.0%
12.4%
11.3%
11.5%
11.8%
12.6%
14.3%
22.8%
19.8%
21.2%
21.3%
20.9%
24.1%
26.4%
26.3%
24.6%
17.9%
21.5%
27.0%
28.2%
23.9%
2.6%
16.6%
20.0%
25.0%
22.4%
22.8%
22.6%
23.8%
26.4%
24.0%
22.8%
22.4%
23.7%
26.1%
57.4%
1.4%
Organic Chemicals, Except Gum & Wood
1989
7,822
13,320
87,856
82,358
9.5%
15.2%
B2B-26
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-10: Trade Statistics for Profiled Chemical Segments
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998d
1999d
2000d
200 ld
Total Percent
Change 1989-2001
Average Annual
Growth Rate
Value of imports
(millions, $2003)
8,123
8,239
8,858
8,765
10,132
12,121
12,985
17,312
16,683
18,049
22,151
20,728
165.0%
8.5%
Value of exports
(millions, $2003)
12,678
12,670
12,329
12,494
14,500
17,916
15,980
20,079
18,159
18,885
21,221
19,032
42.9%
4.0%
Value of
shipments
(millions, $2003)
84,237
79,725
78,063
75,958
81,008
87,077
84,276
91,683
77,134
82,553
92,222
78,489
Implied
Domestic
Consumption3
79,682
75,294
74,592
72,229
76,640
81,282
81,281
88,916
75,658
81,717
93,152
80,185
-2.6%
0.7%
Import
Penetration1"
10.2%
10.9%
11.9%
12.1%
13.2%
14.9%
16.0%
19.5%
22.1%
22.1%
23.8%
25.9%
Export
Dependence0
15.1%
15.9%
15.8%
16.4%
17.9%
20.6%
19.0%
21.9%
23.5%
22.9%
23.0%
24.2%
59.9%
4.0%
* Calculated by EPA as shipments + imports - exports.
b Calculated by EPA as imports divided by implied domestic consumption.
c Calculated by EPA as exports divided by shipments.
dBefore 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the North American Industry
Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code classifications using
the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 2001.
B2B-27
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Figure B2B-7: Value of Imports and Exports for Profiled Chemical Segments (in millions,$2003)
Inorganic Chemicals, Except Pigments
Exports (SIC
2812,2813, 2819)
Exports (NAICS
to SIC)
Imports (SIC
2812,2813, 2819)
Imports (NAICS
to SIC)
1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
Plastics Material and Resins
-Exports (SIC
2821)
Exports (NAICS
to SIC)
-Imports (SIC
2821)
Imports (NAICS
to SIC)
1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
Organic Chemicals, Except Gum & Wood
25 000
20 000
1 5 000
1 0 000
5 000
o
A -,*:-^-- "*
/^ ."•*»-- ' --*'
v' ^^tf • **
A ^^*
^ ^ 4^"
*-— — — -
1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
A Exports (SIC
2865, 2869)
to SIC)
2865, 2869)
. . .+. . . Imports (NAICS
to SIC)
Source: U.S. DOC, 2001.
B2B-28
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
B2B-4 FINANCIAL CONDITION AND PERFORMANCE
The financial performance and condition of the chemical industry are important determinants of its ability to
withstand the costs of regulatory compliance without material adverse economic/financial impact. To provide
insight into the industry's financial performance and condition, EPA reviewed two key measures of financial
performance over the 12-year period, 1992-2003: net profit margin and return on total capital. EPA calculated
these measures as a revenue-weighted index of measure values for public reporting firms in the respective
industries, using data from the Value Line Investment Survey. Financial performance in the most recent financial
reporting period (2003) is obviously not a perfect indicator of conditions at the time of regulatory compliance.
However, examining the trend, and deviation from the trend, through the most recent reporting period gives
insight into where the industry may be, in terms of financial performance and condition, at the time of
compliance. In addition, the volatility of performance against the trend, in itself, provides a measure of the
potential risk faced by the industry in a future period in which compliance requirements are faced: all else equal,
the more volatile the historical performance, the more likely the industry may be in a period of relatively weak
financial conditions at the time of compliance.
Net profit margin is calculated as after-tax income before nonrecurring gains and losses as a percentage of sales
or revenues, and measures profitability, as reflected in the conventional accounting concept of net income. Over
time, the firms in an industry, and the industry collectively, must generate a sufficient positive profit margin if the
industry is to remain economically viable and attract capital. Year-to-year fluctuations in profit margin stem from
several factors, including: variations in aggregate economic conditions (including international and U.S.
conditions), variations in industry-specific market conditions (e.g., short-term capacity expansion resulting in
overcapacity), or changes in the pricing and availability of inputs to the industry's production processes (e.g., the
cost of energy to the chemical process). The extent to which these fluctuations affect an industry's profitability,
in turn, depends heavily on the fixed vs. variable cost structure of the industry's operations. In a capital intensive
industry such as the chemical and allied products industry, the relatively high fixed capital costs as well as other
fixed overhead outlays, can cause even small fluctuations in output or prices to have a large positive or negative
affect on profit margin.
Return on total capital is calculated as annual net profit, plus one-half of annual long-term interest, divided by
the total of shareholders' equity and long-term debt (total capital). This concept measures the total productivity of
the capital deployed by a firm or industry, regardless of the financial source of the capital (i.e., equity, debt, or
liability element). As such, the return on total capital provides insight into the profitability of a business' assets
independent of financial structure and is thus a "purer" indicator of asset profitability than return on equity. In the
same way as described for net profit margin, the firms in an industry, and the industry collectively, must generate
over time a sufficient return on capital if the industry is to remain economically viable and attract capital. The
factors causing short-term variation in net profit margin will also be the primary sources of short-term variation in
return on total capital.
Figure B2B-8 presents net profit margin and return on total capital for public-reporting firms in two chemical
industry segments - (1) Industrial Chemicals and (2) Plastics and Synthetic Fibers - for the 12-year period, 1992
and 2003. The Industrial Chemicals segment corresponds approximately to the Organic Chemicals and Inorganic
Chemicals profiled industry segments; the Plastics and Synthetic Fibers segment corresponds approximately to
the Plastics Material and Resins profiled industry segment. The financial performance information reported in
Figure B2B-8 confirms the trends and performance discussed above in this section.
As shown in Figure B2B-8, the Industrial Chemicals (Organic Chemicals and Inorganic Chemicals) segment has
seen moderate volatility of financial performance over the analysis period. Return on total capital moved off a
post-recession low near 10 percent in 1992 to achieve levels in excess of 20 percent during 1995-1997. Recovery
of demand accompanied by industry restructuring and downsizing accounted for the upturn in performance.
During the latter part of the decade, though, increased competition from foreign producers and demand weakness
in Asian markets eroded this performance. As a result, return on capital fell below 15 percent in 1998, and
remained at this lower level through 2000. In 2001, a series of factors - high energy and raw material prices at
B2B-29
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
the start of the year, and overcapacity, the terrorist attacks, and slowing U.S. and global economies at the end of
the year - led to a further sharp decline in return on capital performance of approximately 8 percent. Return on
total capital improved modestly during 2002 and 2003 but remained sub-par compared to mid 1990s performance.
Net profit margin shows a similar, though less volatile, trend.
The same factors largely influenced performance in the Plastics and Synthetic Fibers (Plastics Material and
Resins) segment over the 12 year period. Performance in this segment followed a similar, but less volatile,
pattern to that of the Industrial Chemicals segment. Return on total capital rose from a low near 10 percent in
1993 to a period high of 15 percent in 1995. Since then, performance trended down to reach a period low of
approximately 9 percent in 2001. This segment achieved modest improvement in 2002 and 2003. Net profit
margin again shows a similar, though less volatile, trend compared to return on capital.
Overall, the profiled segments of the chemical industry remain at weaker levels of financial performance than
achieved during the mid 1990s but appear to be recovering from the sharp weakness of 2001-2002. Continued
recovery in 2004 and beyond suggest improved ability to withstand additional regulatory compliance costs
without imposing significant financial impacts.
B2B-30
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Figure B2B-8: Net Profit Margin and Return in Total Capital for the Chemical Industry
Industrial Chemicals (Organic and Inorganic)
25%
20%
15%
10%
•Return on Total Capital -
Industrial Chemicals
-Net Profit Margin -
Industrial Chemicals
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
Plastics and Synthetic Fibers
20%
15%
10%
-Return on Total Capital
Plastics and Synthetic
Fibers
-Net Profit Margin -
Plastics and Synthetic
Fibers
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
Source: Value Line, 1992-2003.
B2B-5
FACILITIES OPERATING COOLING WATER INTAKE STRUCTURES
Section 316(b) of the Clean Water Act applies to point source facilities that use or propose to use a cooling water
intake structure that withdraws cooling water directly from a surface waterbody of the United States. In 1982, the
chemical and allied products industry withdrew 2,797 billion gallons of cooling water, accounting for
approximately 3.6 percent of total industrial cooling water intake in the United States4. The industry ranked 2nd in
industrial cooling water use behind the electric power generation industry (1982 Census of Manufactures).
4 Data on cooling water use are from the 1982 Census of Manufactures. 1982 was the last year in which the Census of Manufactures
reported cooling water use.
B2B-31
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
This section provides information for facilities in the profiled chemical and allied products segments potentially
subject to the proposed regulation. Existing facilities that meet all of the following conditions are potentially
subject to the proposed regulation:5
*• Use a cooling water intake structure or structures, or obtain cooling water by any sort of contract
or arrangement with an independent supplier who has a cooling water intake structure; or their
cooling water intake structure(s) withdraw(s) cooling water from waters of the U.S., and at least
twenty-five (25) percent of the water withdrawn is used for contact or non-contact cooling
purposes;
*• Have an National Pollutant Discharge Elimination System (NPDES) permit or are required to
obtain one; and
*• Have a design intake flow of greater than 2 million gallons per day (MOD).
The proposed Phase III regulation also covers substantial additions or modifications to operations undertaken at
such facilities. While all facilities that meet these criteria are subject to the regulation, this section focuses on the
estimated 144 facilities nationwide in the profiled chemical and allied products segments identified in EPA's 2000
Section 316(b) Industry Survey as being potentially subject to this proposed regulation6. Information collected in
the Detailed Industry Questionnaire found that an estimated 64 out of 435 Inorganic Chemicals facilities (15
percent), 19 out of 305 Plastics Material and Resins facilities (6 percent), and 61 out of 423 Organic Chemicals
facilities (14 percent) meet the characteristics of a potential Phase III facility.
B2B-5.1 Waterbody and Cooling System Type
Table B2B-11 shows the distribution of U.S. Phase III facilities in the profiled chemical segments by type of
waterbody and cooling system. The table shows that most of the U.S. Phase III facilities either have a once-
through system (62, or 50 percent) or employ a combination of a once through and a recirculating system (37, or
30 percent). The majority of existing facilities draw water from a freshwater stream or river (95, or 76 percent).
Seven of the 20 facilities that withdraw from an estuary, the most sensitive type of waterbody, use a once-through
cooling system. Plants with once-through cooling water systems withdraw between 70 and 98 percent more water
than those with recirculating systems.
5The proposed Phase III regulation also applies to existing electric generating facilities as well as certain facilities in the oil and gas
extraction industry and the seafood processing industry. See Chapters B4 and B5 and Part C of this document for more information on
these industries.
6EPA applied sample weights to the sampled facilities to account for non-sampled facilities and facilities that did not respond to the
survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer to the Information Collection Request (U.S.
EPA, 2000).
B2B-32
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-11: Number of Potential Phase III facilities by Water Body and Cooling System Type
for Profiled Chemical Segments
Water Body Type
Cooling System
Recirculating
Numbe % of
r Total
Combination
Numbe % of
r Total
Once-Through
Numbe % of
r Total
Other
Numbe % of
r Total
Unknown
Numbe % of
r Total
Total3
Inorganic Chemicals
Estuary/ Tidal River
Ocean
Freshwater Stream/
River
Lake/ Reservoir
Great Lake
Total1
0 0%
0 0%
4 18%
0 0%
0 0%
4 6%
13 65%
0 0%
0 0%
4 100%
0 0%
17 27%
1 35%
9 100%
17 77%
0 0%
4 44%
37 58%
0 0%
0 0%
0 0%
0 0%
4 44%
4 6%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
20
9
22
4
9
64
Plastics Material and Resins
Freshwater Stream/
River
Lake/ Reservoir
Total"
0 0%
0 0%
0 0%
9 50%
2 100%
11 58%
4 22%
0 0%
4 21%
0 0%
0 0%
0 0%
4 22%
0 0%
4 21%
18
2
19
Organic Chemicals
Freshwater Stream/
River
Great Lake
Total1
9 16%
0 0%
9 15%
9 16%
0 0%
9 15%
30 53%
4 100%
35 57%
9 16%
0 0%
9 15%
0 0%
0 0%
0 0%
57
4
61
Total for Profiled Chemical Facilities
Estuary/ Tidal River
Ocean
Freshwater Stream/
River
Lake/ Reservoir
Great Lake
Total"
0 0%
0 0%
13 14%
0 0%
0 0%
13 9%
13 65%
0 0%
18 19%
6 100%
0 0%
37 26%
1 35%
9 100%
52 54%
0 0%
9 69%
76 53%
0 0%
0 0%
9 9%
0 0%
4 31%
13 9%
0 0%
0 0%
4 4%
0 0%
0 0%
4 3%
20
9
96
6
13
144
a Individual numbers may not add up to total due to independent rounding.
Source: U.S. EPA, 2000.
B2B-5.2 Facility Size
The 316(b) sample facilities are generally larger than facilities in the chemicals industry as a whole, as reported in
the Census and discussed previously:
*• Ninety-eight percent of all facilities in the Inorganic Chemicals segment had fewer than 100
employees in 1992, compared with 21 percent of the potential Phase III facilities.
B2B-33
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
*• Ninety-four percent of all facilities in the Plastics Material and Resins segment had fewer than
100 employees in 1992; none of the potential Phase III facilities in that segment fall into that
employment category.
*• Ninety-four percent of all facilities in the Organic Chemical segment had fewer than 100
employees in 1992; none of the potential Phase III facilities in that segment fall into that
employment category.
Figure B2B-9 shows the number of potential Phase III facilities in the profiled chemical segments by employment
size category.
Figure B2B-9: Number of Potential Phase III facilities by Employment Size Category
for Profiled Chemical Segments
30 -i
25-
• Inorganic Chemicals (SIC
2812, 2813, 2816, 2819)
• Plastics (SIC 2821)
D Organic Chemicals (SIC
2865, 2869)
=100 100-249 250-499 500-999 >=1000
Source: U.S. EPA, 2000.
B2B-5.3 Firm Size
EPA used the Small Business Administration (SBA) small entity size standards to determine the number of U.S.
Phase III facilities in the three profiled chemical segments that are owned by small firms. Firms in the Inorganic
Chemicals segment (SIC codes 2812, 2813, 2816, 2819) and in Industrial Organic Chemicals, NEC (SIC code
2869) are defined as small if they have 1,000 or fewer employees; firms in Plastics Material and Resins (SIC
2821) and Cyclic Organic Crudes and Intermediates (SIC code 2865) are defined as small if they have 750 or
fewer employees.
B2B-34
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis Existing Facilities
B2B: Chemicals and Allied Products
Table B2B-12 shows that, of the 64 potential Phase III facilities in the Inorganic Chemicals segment, four, or 7
percent, are owned by a small firm. All four of these firms are in SIC 2819. None of the 19 potential Phase III
facilities in the Plastics Material and Resins segment are owned by a small firm. Ninety-three percent of the
potential Phase III facilities in the Organic Chemicals segment are classified as large. SIC 2869 accounts for all
of the facilities owned by small firms in the Organic Chemicals segment. Overall, the profiled chemicals segment
has 135 facilities (94 percent) owned by large firms, and 9 facilities (6 percent) owned by small firms.
Table B2B-12: Number of Potential Phase III facilities by Firm Size
for Profiled Chemical Segments
SIC Code
Large
No. % of SIC
Small
No. % of SIC
Total
Inorganic Chemicals
2812
2813
2816
2819
Total
20
4
9
26
59
100%
100%
100%
87%
93%
0
0
0
4
4
0%
0%
0%
13%
7%
20
4
9
30
64
Plastics Material and Resins
2821
19
100%
0
0%
19
Organic Chemicals
2865
2869
Total
9
48
57
100%
92%
93%
0
4
4
0%
8%
7%
9
52
61
Total for Profiled Chemical Facilities
Total
135
Source: U.S. EPA, 2000; U.S. SBA,
94%
9
2000; D&B, 2001.
6%
144
B2B-35
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
REFERENCES
Bureau of Labor Statistics (BLS). 2002. Producer Price Index. Series: PDU2812#-Alkalies and Chlorine,
PDU2813#-Industrial Gases, PDU2816#-Inorganic Pigments, PDU2819#-Industrial Inorganic Chemicals n.e.c.,
PDU2821#-Plastic Materials and Resins, PDU2865#-Cyclic Crudes and Intermediates, PDU2869#-Industrial
Organic Chemicals, n.e.c.
Business Weekly. 2001. "Materials: Plastics." p. 125. January 8, 2001.
Chemical & Engineering News (C&EN). 2003a. "Chemicals finally showed some signs of life in 2002; this year
should be better." pp. 16-18. January 13, 2003.
Chemical & Engineering News (C&EN). 2003b. "Counting Pennies." Volume 81, No. 5, pp. 17-21. February
3,2003.
Chemical & Engineering News (C&EN). 2003c. "2003 Industry Review." Volume 81, No. 51, pp. 18-26.
December 22, 2003. Available at: http://pubs.acs.org/cen/business/8151/8151businessreview.html
Chemical & Engineering News (C&EN). 2002. "2002 Industry Review." Volume 80, No. 50, pp. 17-26.
December 16, 2002. Available at: http://pubs.acs.org/cen/coverstory/8050/8050busreview02.html.
Chemical & Engineering News (C&EN). 2001. "2001 Chemical Industry Review." Volume 79, No. 52, pp. 13-
21. December 24, 2001. Available at: http://pubs.acs.org/cen/topstory/7952/7952busl.html.
Chemical Marketing Reporter. 2001. "U.S. Chemical Industry Outlook: Trade and Domestic Demand". v260,
issue 25, p. 33. June 18,2001.
Dun and Bradstreet (D&B). 2001. Data extracted from D&B Webspectrum August 2001.
Executive Office of the President. 1987. Office of Management and Budget. Standard Industrial Classification
Manual.
Federal Reserve Board. 2004. Industrial Production and Capacity Utilization. Data extracted May 11,2004.
Available at: http://www.economagic.com/frbg 17.htm#IPMarket
McGraw-Hill and U.S. Department of Commerce, International Trade Administration. 2000. U.S. Industry &
Trade Outlook '00.
Standard & Poor's. (S&P)2001. Industry Surveys-Chemicals: Basic. July 5, 2001.
U.S. Department of Commerce (U.S. DOC). 1989-2002. Bureau of the Census. Current Industrial Reports.
Survey of Plant Capacity.
U.S. Department of Commerce (U.S. DOC). 2001. Bureau of the Census. International Trade Administration
U.S. Department of Commerce (U.S. DOC). 1988-1991, 1993-1996, and 1998-2001. Bureau of the Census.
Annual Survey of Manufactures.
U.S. Department of Commerce (U.S. DOC). 2000. Bureau of the Census. Foreign Trade Data.
U.S. Department of Commerce (U.S. DOC). 1997. Bureau of the Census. 1997 Economic Census Bridge
Between NAICS and SIC.
B2B-36
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis Existing Facilities B2B: Chemicals and Allied Products
U.S. Department of Commerce (U.S. DOC). 1987, 1992, and 1997. Bureau of the Census. Census of
Manufactures.
U.S. Environmental Protection Agency (U.S. EPA) 2000. Detailed Industry Questionnaire: Phase II Cooling
Water Intake Structures.
U.S. Environmental Protection Agency (U.S. EPA). 1995a. Profile of the Organic Chemicals Industry.
September, 1995.
U.S. Environmental Protection Agency (U.S. EPA) 1995b. Profile of the Inorganic Chemical Industry.
September, 1995.
U.S. Small Business Administration (U.S. SBA). 1988-2001. Statistics of U.S. Businesses.
Available at: http://www.sba.gov/advo/stats/int data.html
U.S. Small Business Administration (U.S. SBA). 2000. Small Business Size Standards. 13 CFR section 121.201.
Value Line. 1992-2003. Value Line Investment Survey.
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B2B-38
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
Chapter B2C: Petroleum Refining
(SIC 2911)
EPA's Detailed Industry Questionnaire,
hereafter referred to as the DQ, identified one 4-
digit SIC code in the Petroleum and Coal
Products Industry (SIC 29) with at least one
existing facility that operates a CWIS, holds a
NPDES permit, withdraws at least two million
gallons per day (MOD) from a water of the
United States, and uses at least 25 percent of its
intake flow for cooling purposes (facilities with
these characteristics are hereafter referred to as
facilities potentially subject to the Phase III
regulation or "potential Phase III facilities").
Table B2C-1 below provides a description of the
industry segment, a list of primary products
manufactured, the total number of detailed
questionnaire respondents (weighted to represent
national results), and the number and percent of
potential Phase III facilities within the estimated
national total of facilities in the respective
industry SIC code groups.
CHAPTER CONTENTS
B2C-1 Summary Insights from this Profile
B2C-2 Domestic Production
B2C-2.1 Output
B2C-2.2 Prices
B2C-2.3 Number of Facilities and Firms
B2C-2.4 Employment and Productivity
B2C-2.5 Capital Expenditures
B2C-2.6 Capacity Utilization
B2C-3 Structure and Competitiveness
B2C-3.1 Geographic Distribution
B2C-3.2 Facility Size
B2C-3.3 Firm Size
B2C-3.4 Concentration Ratios
B2C-3.5 Foreign Trade
B2C-4 Financial Condition and Performance
B2C-5 Facilities Operating Cooling Water Intake
Structures
B2C-5.1 Waterbody and Cooling System Type
B2C-5.2 Facility Size
B2C-5.3 Firm Size
References
. B2C-2
. B2C-3
. B2C-3
. B2C-7
. B2C-7
B2C-10
B2C-11
B2C-14
B2C-15
B2C-15
B2C-17
B2C-18
B2C-18
B2C-19
B2C-22
B2C-23
B2C-24
B2C-25
B2C-26
B2C-27
Table B2C-1: Potential Phase III facilities in the Petroleum and Coal Products Industry (SIC 29)
SIC
SIC Description
Important Products Manufactured
Number of Facilities3
_, , , Potential Phase „,
Total TTT, ..... „ %
HI facilities
2911
Petroleum Refining
Gasoline, kerosene, distillate fuel oils, residual fuel oils,
and lubricants, through fractionation or straight distillation
of crude oil, redistillation of unfinished petroleum
derivatives, cracking, or other processes; aliphatic and
aromatic chemicals as byproducts
163
36
22.1%
a Number of weighted detailed questionnaire survey respondents.
b Individual numbers may not add up due to independent rounding.
Source: U.S. EPA, 2000; Executive Office of the President, 1987. ASM 1998
The table shows that an estimated 36 out of 163 facilities (or 22 percent) in the Petroleum and Coal Products
Industry (SIC 29) are potentially subject to this proposed regulation. EPA also estimated the percentage of total
production that occurs at facilities potentially subject to the proposed regulation. Total value of shipments for the
Petroleum and Coal Products Industry (SIC 29) from the 1998 Annual Survey of Manufacturers is $118.2 billion.
Value of shipments, a measure of the dollar value of production, was selected for the basis of this estimate.
Because value of shipments data were not collected using the DQ, these data were not available for the sample of
Phase III manufacturing facilities potentially subject to the proposed regulation. Total revenue, as reported on the
DQ, was used a close approximation for value of shipments for these facilities. EPA estimated the total revenue
of facilities in the petroleum industry subject to the proposed regulation is $47.8 billion. Therefore, EPA
B2C-1
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
estimates that 40 percent of total production in the petroleum industry occurs at facilities potentially subject to the
proposed regulation.
Table B2C-2 provides the cross-walk between SIC codes and NAICS codes for the profiled petroleum SIC codes.
For the Petroleum Refining segment, the translation of NAICS-reported data to the SIC framework is
straightforward as these frameworks have a simple one-to-one match for Petroleum Refining: SIC code 2911 and
NAICS code 324110.
Table B2C-2: Relationship between SIC and NAICS Codes for the Petroleum and Coal Products
Industry (1997)
SIC
Code
2911
SIC Description
Petroleum Refining
NAICS
Code
324110
NAICS Description
Petroleum Refineries
Establishments
242
Value of Shipments
($000)
157,525,704
Employment
65,471
Source: U.S. DOC, 1997.
B2C-1 SUMMARY INSIGHTS FROM THIS PROFILE
A key purpose of this profile is to provide insight into the ability of Petroleum Refining firms that would be
subject to the Phase III regulation to absorb compliance costs without material adverse economic/financial effects.
Two important factors in the ability of the industry's ability to withstand compliance costs are: (1) the extent to
which the industry may be expected to shift compliance costs to its customers through price increases and (2) the
financial health of the industry and its general business outlook.
Likely Ability to Pass Compliance Costs Through to Customers
As reported in the following sections of this profile, the Petroleum Refining segment is relatively unconcentrated,
which suggests that firms in this industry would have less power to pass through to customers a significant
portion of their compliance-related costs. As discussed above, the proportion of total value of shipments in the
industry potentially subject to the proposed regulation is 40 percent. The actual proportion of total value of
shipments subject to regulation-induced compliance costs would be smaller since not all of the facilities would be
subject to the national categorical requirements of the proposed regulation: that is, facilities below the proposed
design intake flow (DIP) would be subject to permitting based on best professional judgement (BPJ) rather than
based on national standards, and several facilities currently employ baseline technologies that meet the
requirements of the proposed regulation. Given the likelihood that these percentages represent upper bound
estimates, EPA believes that the theoretical threshold for justifying the use of industry-wide CPT rates in the
impact analysis of potential Phase III refineries has not been met. Even though the Petroleum Refining segment is
not characterized by high competitive pressure from foreign markets, the low market concentration leads EPA to
believe that the market power held by individual firms is likely to be quite small. For these reasons, in its analysis
of regulatory impacts for the Petroleum Refining segment, EPA assumed that complying firms would be unable to
pass compliance costs through to customers: i.e., complying facilities must absorb all compliance costs within
their financial condition at the time of compliance (see following sections and Appendix 3 to Chapter B3:
Economic Impact Analysis for Manufacturers for further information).
Financial Health and General Business Outlook
Over the past decade, Petroleum Refining, like other U.S. manufacturing industries, has experienced a range of
economic/financial conditions, including substantial challenges. In the early 1990s, the domestic Petroleum
Refining segment was affected by reduced U.S. demand as the economy entered a recessionary period Although
domestic market conditions improved by mid-decade, oversupply of crude oil, weakness in Asian markets, along
with other domestic factors, materially weakened refiners' financial performance in 1998. As petroleum
producing countries reduced crude oil supply and refiners cut production, prices rebounded in the late 1990's into
2000, before another U.S. recession, the attacks of 9/11, and global economic downturn again had a negative
B2C-2
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2C: Petroleum Refining
effect on petroleum refiners. More recently, as the U.S. economy began recovery from its economic weakness,
domestic petroleum refiners began showing signs of recovery with higher demand levels and improving financial
performance in 2003. Although the industry has weathered difficult periods over the past few years, the
strengthening of the industry's financial condition and general business outlook suggest improved ability to
withstand additional regulatory compliance costs without imposing significant financial impacts.
B2C-2 DOMESTIC PRODUCTION
The Petroleum Refining segment accounts for about 4 percent of the value of shipments of the U.S. entire
manufacturing segment and 0.4 percent of the manufacturing segment's employment (U.S. DOE, 1999a).
According to the Annual Survey of Manufactures, in 2001, Petroleum Refineries achieved shipments of
approximately $206 billion dollars ($2003) and employed 63,251 people. Petroleum products contribute
approximately 40 percent of the total energy used in the United States, including virtually all of the energy
consumed in transportation (U.S. DOE, 1999a).
U.S. DOE Energy Information Administration (EIA) data report that there were 149 operable Petroleum
Refineries in the U.S. as of January 2003, of which 145 were operating and four were idle (U.S. DOE, 2004)1.
Some data reported in this profile are taken from EIA publications. Readers should note that the Census data
reported for SIC 2911 cover a somewhat broader range of facilities than do the U.S. DOE/EIA data, and the two
data sources are therefore not entirely comparable.2
The petroleum industry includes exploration and production of crude oil, refining, transportation, and marketing.
Petroleum refining is a capital-intensive process that converts crude oil into a variety of refined products.
Refineries range in complexity, depending on the types of products produced. Nearly half of all U.S. refinery
output is motor gasoline.
The number of U.S. refineries has declined by almost half since the early 1980s. The remaining refineries have
improved their efficiency and flexibility to process heavier crude oils by adding "downstream" capacity3. While
the number of refineries has declined, the average refinery capacity and utilization has increased, resulting in an
increase in domestic refinery production overall.
B2C-2.1 Output
Table B2C-3 shows trends in production of petroleum refinery products from 1990 through 2002. In general,
output of refined products grew over this period, reflecting growth in transportation demand and other end-uses.
Output fell in 1991 due to the domestic economic recession, and the early years of the 2000s experienced little or
negative growth due to the downturn of the U.S. economy and events of 9/11 (API, 2003a). At the beginning of
2002, petroleum products were in excess supply in the world market, and the focus was on the elimination of
excess supplies and stabilization of prices (U.S. DOE, 2004). In 2003, the industry rebounded, with refinery
processing increasing 2 percent, producing record or near record levels of gasoline and distillate (API 2004).
Petroleum demand in 2004 is expected to increase 1.1 percent. As the U.S. and global economy improves,
Petroleum Refining firms should continue to see improving results in their markets and earnings. This should
place companies in a belter position to incur any costs associated with regulatory compliance.
'In addition, there was one operating and one idle refinery in Puerto Rico and one operating refinery in the Virgin Islands.
2For comparison, preliminary 1997 Census data included 244 establishments for NAICS 324 I/SIC 2911, whereas U. S. DOE/EIA
reported 164 operable refineries as of January 1997.
3The first step in refining is atmospheric distillation, which uses heat to separate various hydrocarbon components in crude oil.
Beyond this basic step are more complex operations (generally referred to as "downstream" from the initial distillation) that increase the
refinery's capacity to process a wide range of crude oils and increase the yield of lighter (low-boiling point) products such as gasoline.
These downstream operations include vacuum distillation, cracking units, reforming units, and other processes (U.S. DOE, 1999a).
B2C-3
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
Table B2C-3: U.S. Petroleum Refinery Product Production (million barrels per day)
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
Total Percent Change
1990-2002
Average Annual
Growth Rate
Motor
Gasoline
6.96
6.98
7.08
7.30
7.18
7.46
7.59
7.74
7.89
7.93
7.97
8.02
8.17
17.4%
1.3%
Distillate
Fuel Oil
2.92
2.96
2.98
3.13
3.20
3.16
3.32
3.39
3.42
3.40
3.59
3.69
3.59
22.7%
1.7%
Jet Fuel
1.49
1.44
1.40
1.42
1.45
1.42
1.52
1.55
1.53
1.57
1.61
1.53
1.51
1.7%
0.1%
Residual
Fuel Oil
0.95
0.93
0.89
0.84
0.83
0.79
0.73
0.71
0.76
0.70
0.70
0.72
0.60
-36.9%
-3.8%
Other
Products3
2.95
2.95
3.08
3.09
3.13
3.18
3.21
3.36
3.43
3.39
3.42
3.32
3.38
14.5%
1.1%
Total
Output
15.27
15.26
15.44
15.79
15.79
15.99
16.37
16.76
17.03
16.99
17.29
17.28
17.25
13.0%
1.0%
Percent
Change
n/a
-0.1%
1.2%
2.2%
0.0%
1.3%
2.3%
2.4%
1.6%
-0.2%
1.8%
0.0%
-0.2%
a Includes asphalt and road oil, liquified petroleum gases, petroleum coke, still gas, kerosene, petrochemical feedstocks, lubricants, wax,
aviation gasoline, special napthas, and miscellaneous products.
b Monthly data for motor gasoline production include blending of fuel ethanol and an adjustment to correct for the imbalance of motor
gasoline blending components.
Source: U.S. DOE, 2001b, and 2001c; U.S. DOE, 2004.
Value of shipments and value added are two common measures of manufacturing output4. They provide
insight into the overall economic health and outlook for an industry. Value of shipments is the sum of the receipts
a manufacturer earns from the sale of its outputs; it indicates the overall size of a market or the size of a firm in
relation to its market or competitors. Value added measures the value of production activity in a particular
industry. It is the difference between the value of shipments and the value of inputs used to make the products
sold.
Figure B2C-1 on the following page shows value of shipments and value added for petroleum products from 1987
to 2001. Value of shipments rose through 1990; however, during and following the recession of 1991, value of
shipments fell through 1994. This was followed by some volatility in value over the next few years until
experiencing a sharp drop in 1998, when a range of factors led to a dramatic decrease in petroleum prices.
Increased production quotas by OPEC, increased production from Iraq through the "oil-for-food" program, weak
demand in Asia due to their financial crisis, and a warm winter in the U.S. all increased the supply of petroleum
products (U.S. DOE, 1999c). Estimates of worldwide petroleum supply exceeding demand during 1998 range
from 1.47 millions barrels per day to 2.4 million barrels per day (World Oil, 1999). As crude oil producers and
4Terms highlighted in bold and italic font are further explained in the glossary.
B2C-4
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
refiners cutback on production, the industry rebounded with significant improvements in 1999 and 2000, before
the latest recession and global economic slowdown and weakening demand decreased the value of shipments in
2001. Value added generally followed the path of value of shipments over this time period, though it did not
quite have the volatility of the value of shipments.
Figure B2C-1: Value of Shipments and Value Added for Petroleum Refineries
(millions, $2003)
Value of Shipments
-Petroleum Refineries
(SEC 2911)
«• • Petroleum Refineries
(NAICS 324110)
Value Added
7
- Petroleum Refineries
(SIC 2911)
• Petroleum Refineries
(NAICS324110)
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the
North American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the
SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996 and 1998 - 2001; U.S. DOC, 1987, 1992 and 1997.
B2C-5
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
B2C-2.2 Prices
The producer price index (PPI) measures price changes, by segment, from the perspective of the seller, and
indicates the overall trend of product pricing, and thus supply-demand conditions, within a segment.
Figure B2C-2 shows substantial fluctuations in petroleum product prices between 1987 and 2002. Through the
early 1990s, refiners faced declining prices due to the effects of the 1991 recession and weak demand before
rebounding somewhat in the mid 1990s. Prices plummeted in 1998 as a massive oversupply of petroleum
products coupled with decreased demand led to significant drops in petroleum prices. As the subsequent
production cutbacks took hold and the glut of supply dwindled, prices recovered in 1999 and 2000, as shown in
Figure B2C-2. The higher prices reflect low refinery product inventories and higher crude oil input prices (Value
Line, 2001). Excess supply, the global recession, impacts from 9/11, and the relatively warm winter of 2001-
2002 led to decreases in prices in subsequent years (U.S. DOE, 2004).
Figure B2C-2: Producer Price Index for Petroleum Refineries
Petroleum Refineries
(SIC 2911)
Source: BLS, 2002.
B2C-2.3 Number of Facilities and Firms
Figure B2C-3 shows historical trends in the number of refineries and in refinery capacity. This figure shows that
the number of operable refineries fell substantially during the 1980s, with a more gradual reduction in refineries
continuing through the 1990s and into the 2000s. This decrease resulted in part from the elimination of the Crude
Oil Entitlements Program in the early 1980s. The Entitlements Program encouraged smaller refineries to add
capacity throughout the 1970s. After the program was eliminated, surplus capacity and falling profit margins led
to the closure of less efficient capacity (U.S. DOE, 1999a). The decrease in the number of refineries continued, as
the industry consolidated to improve margins. After peaking in the early 1980s, refining capacity decreased
throughout the rest of the decade. Refining capacity has remained relatively stable since the decrease in the
1980s, with a slight upward trend occurring in the latter part of the 1990s into the 2000s. This trend is expected to
continue, with no new "greenfield" refineries likely to be built in the U.S., but continuing capacity expansion at
existing facilities (S&P, 2001).
B2C-6
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
Figure B2C-3: Trends in Numbers of Refineries and Refining Capacity 1949-2003
20,000 -, , , , , , r 400
18,000
16,000
t
-- 350
- 300
S3 14,000
53
> 12,000
9
J
H
10,000
8,000
6,000
4,000
ft
ft'
150
100
•U.S. Crude Oil Refining Capacity (OOOs bbl/day) ^^^No. of Operable Refineries
Source: U.S. DOE, 2001a; U.S. DOE, 2004.
B2C-7
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
Data from the Statistics of U.S. Businesses for SIC 2911 (Table B2C-4) show that the number of firms reporting
Petroleum Refining as their primary business also declined since 1990.
Table B2C-4: Number of Firms and Facilities for Petroleum Refineries
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999a
2000a
2001a
Total Percent Change
1990 - 2001
Average Annual Growth
Rate
Number
215
215
185
148
161
150
173
128
155
145
162
165
-23.3%
-2.4%
Firms
Percent Change
n/a
0.0%
-14.0%
-20.0%
8.8%
-6.8%
15.3%
-26.0%
21.1%
-6.5%
11.7%
1.9%
Number
340
346
303
251
265
251
275
248
304
292
298
302
-11.2%
-1.1%
Facilities
Percent Change
n/a
1.8%
-12.4%
-17.2%
5.6%
-5.3%
9.6%
-9.8%
22.6%
-3.9%
2.1%
1.3%
a Before 1998, these data were compiled in the Standard Industrial Classification (SIC) system; since 1998, these data
have been compiled in the North American Industry Classification System (NAICS). For this analysis, EPA converted
the NAICS classification data to the SIC code classifications using the 1997 Economic Census Bridge Between NAICS
and SIC..
Source: U.S. SBA, 1989-2001.
B2C-8
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
B2C-2.4 Employment and Productivity
Employment in the Petroleum Refining segment declined by 15 percent between 1987 and 2001, from 74,600 to
63,258 employees, as shown in Figure B2C-4. After increasing in the early 1990s, employment at Petroleum
Refineries declined until 2000, before increasing slightly, reflecting overall industry consolidation.
Figure B2C-4: Employment for Petroleum Refineries
74 000 -
68 000 -
64 000 -
60 000 -
*v y^^^v
^x^
\
V
•»
*••-. .-•
^*+''
tiP> cN oV eft C> dh C& 0\ C& rft c$5 CSV
•$* ^ ^ $ $ $ $ $ $ $ $ $ $ ^ ^
* Petroleum Refineries
(SIC 2911)
- - - *- - - Petroleum Refineries
(NAICS324110)
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998 -2001; U.S. DOC, 1987, 1992, and 1997.
B2C-9
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
Table B2C-5 shows substantial year-to-year changes in labor productivity, measured by value added per
production hour. These fluctuations reflect volatility in value added, which in turn reflect variations in the
relationship between input prices (primarily crude oil) and refinery product prices. Changes in production hours
from year to year were less volatile, with a net reduction over the period 1987 to 2001. Value added , however,
was not affected as it more than doubled over the same period.
Table B2C-5: Productivity Trends for Petroleum Refineries ($2003)
Year
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999a
2000a
200 r
Total Percent
Change 1987-2001
Annual Average
Growth Rate
Value Added
(millions)
20,524
28,875
29,024
29,553
24,767
23,361
22,367
27,865
27,505
29,276
34,192
26,310
34,023
38,705
41,627
102.8%
5.2%
Production Hours
(millions)
103
103
105
106
107
109
107
110
107
103
100
98
94
92
94
-9.5%
-0.7%
Value Added/Hour
(S/hr)
199
281
277
279
233
214
210
253
258
285
342
269
362
419
445
124.0%
5.9%
Value Added/
Hour
n/a
41.2%
-1.1%
0.7%
-16.7%
-8.1%
-1.7%
20.6%
1.8%
10.7%
20.0%
-21.4%
34.4%
15.9%
6.2%
a Before 1998, these data were compiled in the Standard Industrial Classification (SIC) system; since 1998,
these data have been compiled in the North American Industry Classification System (NAICS). For this
analysis, EPA converted the NAICS classification data to the SIC code classifications using the 1997
Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998 - 2001; U.S. DOC, 1987, 1992, and 1997.
B2C-2.5 Capital Expenditures
Petroleum industry capital expenditures increased substantially between 1988 and 1993, but generally decreased
afterwards through the latest data year, 2001, as shown in Table B2C-6. In 2001, the industry spent almost $5
billion ($2003), as compared with $2.9 billion ($2003) in 1988. Although this represents a 69 percent increase
from 1988 to 2001, it is a 34 percent drop from what was spent in 1993, when capital expenditures peaked at $7.5
billion per year in real terms. Much recent investment in Petroleum Refineries has been to expand and de-
B2C-10
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
bottleneck units downstream from distillation, partially in response to environmental requirements. Changes in
refinery configurations have included adding catalytic cracking units, installing additional sulfur removal
hydrotreaters, and using manufacturing additives such as oxygenates. These process changes have resulted from
two factors:
*• processing of heavier crudes with higher levels of sulfur and metals; and
*• regulations requiring gasoline reformulation to reduce volatiles in gasoline and production of diesel fuels
with reduced sulfur content (U.S. EPA, 1996b).
Environmentally-related investments have also accounted for a substantial part of capital expenditures. In the
future, substantial capital investments by refineries will be required to comply with: product quality regulations,
including EPA's Tier 2 Gasoline Sulfur Rule requiring reductions in the sulfur content of gasoline; reductions or
elimination of the use of MTBE in gasoline; and proposed sulfur reductions in highway diesel fuel (NPC, 2000).
Table B2C-6: Capital Expenditures for Petroleum Refineries
Year
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999"
2000a
2001a
Total Percent Change
1987 - 2001
Average Annual
Growth Rate
Capital Expenditures
(millions, $2003)
2,937
3,248
4,017
4,945
7,007
7,509
7,156
6,466
6,729
5,850
4,700
4,566
4,257
4,949
68.5%
4.1%
% Change
n/a
10.6%
23.7%
23.1%
41.7%
7.2%
-4.7%
-9.6%
4.1%
-13.1%
-19.7%
-2.9%
-6.8%
16.3%
a Before 1998, these data were compiled in the Standard Industrial Classification (SIC) system;
since 1998, these data have been compiled in the North American Industry Classification
System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC
code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998 - 2001; U.S. DOC, 1987, 1992, and
1997.
B2C-11
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
Figure B2C-5 shows pollution control expenditures (capital plus operating costs), reported by American
Petroleum Institute (API) members. Expenditures to control current environmental releases (air, water and waste)
account for the largest share of total pollution control expenditures. API estimates that the U.S. oil and natural
gas industry spent $7.875 billion in 2001 for environmental protection. Of the total 2001 environmental
expenditures to address air, water, and waste pollution from on-going operations, 32 percent ($2.5 billion) was
capital expenditures and 66 percent ($5.2 billion) was operating maintenance (API, 2003b).
Figure B2C-5: Environmental Expenditures by Type and Medium for Petroleum Refineries
Environmental Expenditures by Type, 2001
Remediation
3%
Wastes
6%
Water
12% "
Refining Expenditures by Aggregated Types (in millions)
6,000
Air/Water/Waste
Remediation/Spills
1,000
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
Source: API, 2001; API, 2003b.
B2C-12
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
B2C-2.6 Capacity Utilization
Refinery capacity is frequently measured in terms of crude oil distillation capacity. EIA defines refinery capacity
utilization as input divided by calendar day capacity, which is the maximum amount of crude oil input that can be
processed during a 24-hour period with certain limitations. Some downstream refinery capacities are measured in
terms of "stream days," which is the amount a unit can process when running full capacity under optimal crude
and product mix conditions for 24 hours (U.S. DOE, 1999a). Downstream capacities are reported only for
specific units or products, and are not summed across products, since not all products could be produced at the
reported levels simultaneously.
Figure B2C-6 below shows the fluctuation in utilization rates over the period 1989-2002, based Census Bureau
data. Capacity utilization fluctuated over a relatively lower range between 1989-1992, followed by an increase in
utilization rates for five straight years, concluding in 1997. After decreasing in 1998, utilization rates climbed
until 2000, before excess supply, recession, and other factors led to decreases in rates in the early 2000s. The
industry appears to be recovering, however, as the American Petroleum Institute (2004) reports that refineries
operated at 92.4 percent of capacity for 2003. Overall refinery utilization has remained high over this entire time
period. Capacity utilization relative for production o specific products may vary, however, as the industry adjusts
to changes in the desired product mix and characteristics.
Figure B2C-6: Capacity Utilization Rates (Fourth Quarter) for Petroleum Refineries
- Petroleum Refineries (SIC
2911)
Petroleum Refineries
(NAICS324110)
84
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the
North American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the
SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1989-2002.
B2C-13
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2C: Petroleum Refining
B2C-3 STRUCTURE AND COMPETITIVENESS
The Petroleum Refining segment in the United States is made up of integrated international oil companies,
integrated domestic oil companies, and independent domestic refining/marketing companies. In general, the
petroleum industry is highly integrated, with many firms involved in more than one stage of petroleum industry
operations. Large companies, referred to as the "majors," are fully integrated across crude oil exploration and
production, refining, and marketing. Smaller, nonintegrated companies, referred to as the "independents,"
generally specialize in one segment of the industry.
Like the oil business in general, refining was dominated in the 1990s by integrated internationals, specifically a
few large companies such as Exxon Corporation, Mobil Corporation, and Chevron Corporation. These three
ranked in the top ten of Fortune's 500 sales during this time period. Substantial diversification by major
petroleum companies into other energy and non-energy segments was financed by high oil prices in the 1970s and
1980s. With lower profitability in the 1990s, the major producers began to exit nonconventional energy
operations (e.g., oil shale) as well as coal and non-energy operations in the 1990s. Some have recently ceased
chemical production.
During the 1990s and into the early 2000s, several mergers, acquisitions, and joint ventures occurred in the
Petroleum Refining segment in an effort to cut cost and increase profitability. This consolidation has taken place
among the largest firms (as illustrated by the acquisition of Amoco Corporation by British Petroleum in 1999, the
merger of Chevron and Texaco in 2001, the merger of Conoco and Phillips in 2002, and the mega-merger of
Exxon and Mobil Corporation in 1998) as well as among independent refiners and marketers (e.g., the
independent refiner/marketer Ultramar Diamond Shamrock (UDS) acquired Total Petroleum North America in
1997) (U.S. DOE, 1999b, 2004). Merger activity seems to have slowed since 2002, however, possibly as
companies seek to address financial issues or wait to see that the recent positive economic growth continues (U.S.
DOE, 2004).
B2C-3.1 Geographic Distribution
Petroleum Refining facilities are more often located in areas near crude oil sources and/or near consumers. The
cost of transporting crude oil feed stocks and finished products is an important influence on the location of
refineries. Most Petroleum Refineries are located along the Gulf Coast and near the heavily industrialized areas
of both the east and west coasts (U.S. DOE, 1997).
Figure B2C-7 shows the distribution of all facilities by State in the profiled petroleum segments, based on the
1992 Census of Manufactures5. In 1992, 44 refineries were located in Texas, 32 in California, and 20 in
Louisiana, accounting for 43 percent of SIC 2911 facilities in the United States.
5 The 1992 Census of Manufactures is the most recent data available by SIC code and State.
B2C-14
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
Figure B2C-7: Geographic Distribution of Petroleum Refineries
Number of Facilities
0-1
2-4
5-8
9-20
21-44
Source: U.S. DOC, 1987, 1992, and 1997.
B2C-15
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
B2C-3.2 Facility Size
A substantial portion of the facilities in SIC 2911 employ a large number of employees, with 41 percent having
250 or more employees. Figure B2C-8 shows that approximately 87 percent of the value of shipments for the
industry is produced by the 41 percent of establishments with more than 250 employees. Establishments with
more than 1,000 employees are responsible for approximately 36 percent of all industry shipments.
Figure B2C-8: Value of Shipments and Number of Facilities in 1992" for Petroleum Refineries
by Employment Size Category
Number of Facilities
5-9
10-19
20-49
50-99
100-249 250-499 500-999 1,000-
2,499
Value of Shipments (S millions)
50,000 -i
45,000-
40,000-
35,000-
30,000-
25,000-
20,000-
15,000-
10,000-
5,000-
0
1-4
5-9
10-19
20-49
50-99 100-249 250-499
500-999 1,000-
2,499
a The 1992 Census of Manufactures is the most recent data available by SIC code and facility employment size.
Source: U.S. DOC, 1987, 1992, and 1997.
B2C-16
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2C: Petroleum Refining
B2C-3.3 Firm Size
For SIC 2911, the Small Business Administration defines a small firm as having 1,500 or fewer employees. The
size categories reported in the Statistics of U.S. Businesses (SUSB) do not correspond with the SBA size
classifications, therefore preventing precise use of the SBA size threshold in conjunction with SUSB data. Table
B2C-7 below shows the distribution of firms and establishments in SIC 2911 by the employment size of the
parent firm. The SUSB data show that 180 of the 302 SIC 2911 establishments reported for 2001 (60 percent) are
owned by larger firms (those with 500 employees or more), some of which may still be defined as small under the
SBA definition, and 112 (40 percent) are owned by small firms (those with fewer than 500 employees).
Table B2C-7: Number of Firms, Establishments, and Estimated
Receipts for Petroleum Refineries by Firm Employment Size
Category (2001)
Employment Size
Category
0-19
20-99
100-499
500+
Total
Number of Firms
71
22
23
49
165
Number of Establishments
71
23
28
180
302
a Before 1998, the Department of Commerce compiled data in the SIC system;
since 1998, these data have been compiled in the North American Industry
Classification System (NAICS). For this analysis, EPA converted the NAICS
classification data to the SIC code classifications using the 1997 Economic Census
Bridge Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
B2C-3.4 Concentration Ratios
Concentration is the degree to which industry output is concentrated in a few large firms. Concentration is
closely related to entry barriers, with more concentrated industries generally having higher barriers.
The four-firm concentration ratio (CR4) and the Herfindahl-Hirschman Index (HHI) are common
measures of industry concentration. The CR4 indicates the market share of the four largest firms. For example, a
CR4 of 72 percent means that the four largest firms in the industry account for 72 percent of the industry's total
value of shipments. The higher the concentration ratio, the less competition there is in the industry, other things
being equal6. An industry with a CR4 of more than 50 percent is generally considered concentrated. The HHI
indicates concentration based on the largest 50 firms in the industry. It is equal to the sum of the squares of the
market shares for the largest 50 firms in the industry. For example, if an industry consists of only three firms with
market shares of 60, 30, and 10 percent, respectively, the HHI of this industry would be equal to 4,600 (602 + 302
+ 102). The higher the index, the fewer the number of firms supplying the industry and the more concentrated the
industry. Based on the U.S. Department of Justice's guidelines for evaluating mergers, markets in which the HHI
is under 1000 are considered unconcentrated, markets in which the HHI is between 1000 and 1800 are considered
to be moderately concentrated, and those in which the HHI is in excess of 1800 are considered to be concentrated.
6Note that the measured concentration ratio and the HHF are very sensitive to how the industry is defined. An industry with a high
concentration in domestic production may nonetheless be subject to significant competitive pressures if it competes with foreign producers
or if it competes with products produced by other industries (e.g., plastics vs. aluminum in beverage containers). Concentration ratios
based on share of domestic production are therefore only one indicator of the extent of competition in an industry.
B2C-17
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
As shown in Table B2C-8, the CR4 and the HHI for SIC 2911 are both below the benchmarks of 50 percent and
1,000, respectively. For the Petroleum Refining segment, the HHI is 422, suggesting the sector is unconcentrated.
With the majority of the firms in this industry having small market shares, this suggests limited potential for
passing through to customers any increase in production costs resulting from regulatory compliance.
Table B2C-8: Selected Ratios for Petroleum Refineries
SIC
2911
Year
1987
1992
1997
Total
Number
of Firms
200
132
122
Concentration Ratios
4 Firm
(CR4)
32%
30%
28%
8 Firm
(CR8)
52%
49%
49%
20 Firm
(CR20)
78%
78%
83%
50 Firm
(CR50)
95%
97%
98%
Herfindahl-
Hirschman
Index
435
414
422
Source: U.S. DOE, 1987, 1992, and 1997.
B2C-3.5 Foreign Trade
This profile uses two measures of foreign competition: export dependence and import penetration.
Import penetration measures the extent to which domestic firms are exposed to foreign competition in domestic
markets. Import penetration is calculated as total imports divided by total value of domestic consumption in that
industry: where domestic consumption equals domestic production plus imports minus exports. Theory suggests
that higher import penetration levels will reduce market power and pricing discretion because foreign competition
limits domestic firms' ability to exercise such power. Firms belonging to segments in which imports account for
a relatively large share of domestic sales would therefore be at a relative disadvantage in their ability to pass-
through costs because foreign producers would not incur costs as a result of the Phase III regulation. The
estimated import penetration ratio for the entire U.S. manufacturing sector (NAICS 31-33) for 2001 is 22 percent.
For characterizing the ability of industries to withstand compliance cost burdens, EPA judges that industries with
import ratios close to or above 22 percent would more likely face stiff competition from foreign firms and thus be
less likely to succeed in passing compliance costs through to customers.
Export dependence, calculated as exports divided by value of shipments, measures the share of a segment's sales
that is presumed subject to strong foreign competition in export markets. The Phase III regulation would not
increase the production costs of foreign producers with whom domestic firms must compete in export markets.
As a result, firms in industries that rely to a greater extent on export sales would have less latitude in increasing
prices to recover cost increases resulting from regulation-induced increases in production costs. The estimated
export dependence ratio for the entire U.S. manufacturing sector for 2001 is 15 percent. For characterizing the
ability of industries to withstand compliance cost burdens, EPA judges that industries with export ratios close to
or above 15 percent are at a relatively greater disadvantage in potentially recovering compliance costs through
price increases since export sales are presumed subject to substantial competition from foreign producers.
Table 4D-9 presents trade statistics for the profiled Petroleum Refining segment from 1989 to 2001. The table
shows that while export dependence has been relatively stable, import penetration decreased during the economic
weakness of the early 1990s, before leveling off through the mid 1990s. Import penetration increased steadily
through 2000 and then dropped slightly in 2001. This cycle follows the growth in the U.S. economy of the late
1990s, followed by the subsequent economic slowdown arriving in the latter half of 2000 into 2001. Mexico
received the largest amount of U.S. exported refined petroleum products in 2001, followed by Canada and Japan.
Imports of refined petroleum products increased 47.3 percent from 1989 to 2001, with 46.6 percent of total
imports coming from OPEC countries (U.S. DOE, 2003b).
B2C-18
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
The import penetration ratio for facilities in the Petroleum Refining segment in 2001 was only 15 percent, well
below the U.S. manufacturing segment average of 22 percent. The export dependence ratio for petroleum refiners
in 2001 was only four percent compared to the U.S. manufacturing average of 15 percent. Thus, based on the
lack of competitive pressures from foreign markets/firms, the petroleum industry appears to be in a position to
pass-through to consumers a significant portion of compliance-related costs associated with the Phase III
regulation. However, given the low HHI for this industry EPA believes that existing market competition among
domestic firms most likely nullifies any favorable influence the lack of foreign competitors would have on
increasing the market power of firms in this industry.
Table B2C-9:
Year
B2989
1990
1991
1992
1993
1994
1995
1996
1997d
1998d
1999d
2000d
200 ld
Total Percent Change
1989-2001
Average Annual
Growth Rate
Value of
Imports
(millions,
$2003)
15,867
18,477
13,625
12,457
11,646
10,856
10,054
20,837
22,627
18,683
23,627
42,334
36,252
128.5%
7.1%
Foreign Trade
Value of
Exports
(millions,
$2003)
5,807
7,754
7,952
7,043
6,743
5,804
6,117
7,092
7,621
5,680
6,221
9,221
8,333
43.5%
3.1%
Statistics for
Value of
Shipments
(millions,
$2003)
176,444
206,424
181,906
166,625
155,357
150,633
156,200
177,942
175,693
129,399
155,768
227,748
206,312
16.9%
1.3%
Petroleum Refining
Implied
Domestic
Consumption3
186,504
217,147
187,579
172,039
160,260
155,685
160,137
191,687
190,699
142,402
173,174
260,861
234,231
Import
Penetration
8.5%
8.5%
7.3%
7.2%
7.3%
7.0%
6.3%
10.9%
11.9%
13.1%
13.6%
16.2%
15.5%
Export
Dependence
3.3%
3.8%
4.4%
4.2%
4.3%
3.9%
3.9%
4.0%
4.3%
4.4%
4.0%
4.0%
4.0%
Calculated by EPA as shipments + imports - exports.
b Calculated by EPA as imports divided by implied domestic consumption.
c Calculated by EPA as exports divided by shipments.
d Before 1998, these data were compiled in the Standard Industrial Classification (SIC) system; since 1998, these data have been
compiled in the North American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification
data to the SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC..
Source: U.S. DOC, 2001; U.S. DOC 1988-1991, 1993-1996, and 1998 - 2001; U.S. DOE, 2001b.
The United States consumes more petroleum than it produces, requiring net imports of both crude oil and
products to meet domestic demand. In 2002, the U.S. imported 9.05 million barrels per day (MBD) of crude oil
and 2.31 MBD of refined products. These refined product imports represented roughly 12 percent of the 19.65
MBD of refined products supplied to U.S. consumers. The U.S. exported 0.97 MBD of refined products in 2002
(U.S. DOE, 2003b).
B2C-19
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
Imports of refined petroleum products have fluctuated since 1985. Imports rose to 2.3 MB in the early 1980s, due
to rapid growth in oil consumption, especially consumption of light products, which exceeded the growth in U.S.
refining capacity. Imports then declined as a result of the 1990/91 recession and increased upgrading of refinery
capacity resulting primarily from the 1990 Clean Air Act Amendments and other environmental requirements
(U.S. DOE, 1997). Since the 1995 low point, imports steadily increased through 2000 with the exception of
1998, before dropping again, due to general economic weakness, in 2001 and 2002 (see Figure B2C-9).
Figure B2C-9: Value of Imports and Exports for Petroleum Refining (millions, $2003)
15 000
40 000 -
35 000 -
30 000 -
15 000
1 0 000 -
5 000 -
tN
"»
•
„»
^\
N^^^^_/
_.« ^
B '• • • ^ •• •
/ N^ N> N«J*V ^ ^ / / / /> / ^ ^ ^
• Imports (SIC 291 1 )
• Exports (SIC 2911)
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in
the North American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data
to the SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOE, 2001b.; U.S. DOE, 2003b.
Petroleum exports include heavy products such as residual fuel oil and petroleum coke, which are produced as co-
products with motor gasoline and other light products. Production of these heavier products often exceeds U.S.
demand, and foreign demand absorbs the excess. Petroleum coke is the leading petroleum export product,
accounting for 35 percent of petroleum exports in 2002, followed by residual fuel oil (18 percent of exports) and
motor gasoline (almost 13 percent) (U.S. DOE, 2003b). Exports generally reflect foreign demand, but other
factors influence exports as well. For example, exports of motor gasoline increased due to high prices in Europe
at the time of the 1990 Persian Gulf war. U.S. refiners and marketers have gained experience in marketing to
diverse world markets, and U.S. products are now sold widely abroad (U.S. DOE, 1997). As reported by the
International Trade Administration and shown in Figure B2C-9, the real value of petroleum exports has fluctuated
between $5 and $10 billion during the years 1989 and 2002.
B2C-4 FINANCIAL CONDITION AND PERFORMANCE
The financial performance and condition of the Petroleum Refining segment are important determinants of its
ability to withstand the costs of regulatory compliance without material adverse economic/financial impact. To
provide insight into the industry's financial performance and condition, EPA reviewed two key measures of
financial performance over the 12-year period, 1992-2003: net profit margin and return on total capital. EPA
B2C-20
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2C: Petroleum Refining
calculated these measures as a revenue-weighted index of measure values for public reporting firms in the
respective industries, using data from the Value Line Investment Survey. Financial performance in the most
recent financial reporting period (2003) is obviously not a perfect indicator of conditions at the time of regulatory
compliance. However, examining the trend, and deviation from the trend, through the most recent reporting
period gives insight into where the industry may be, in terms of financial performance and condition, at the time
of compliance. In addition, the volatility of performance against the trend, in itself, provides a measure of the
potential risk faced by the industry in a future period in which compliance requirements are faced: all else equal,
the more volatile the historical performance, the more likely the industry may be in a period of relatively weak
financial conditions at the time of compliance.
Net profit margin is calculated as after-tax income before nonrecurring gains and losses as a percentage of sales
or revenue, and measures profitability, as reflected in the conventional accounting concept of net income. Over
time, the firms in an industry, and the industry collectively, must generate a sufficient positive profit margin if the
industry is to remain economically viable and attract capital. Year-to-year fluctuations in profit margin stem from
several factors, including: variations in aggregate economic conditions (including international and U.S.
conditions), variations in industry-specific market conditions (e.g., short-term capacity expansion resulting in
overcapacity), or changes in the pricing and availability of inputs to the industry's production processes (e.g., the
cost of energy to the petroleum refining process). The extent to which these fluctuations affect an industry's
profitability, in turn, depends heavily on the fixed vs. variable cost structure of the industry's operations. In a
capital intensive industry such as Petroleum Refining, the relatively high fixed capital costs as well as other fixed
overhead outlays, can cause even small fluctuations in output or prices to have a large positive or negative affect
on profit margin.
Return on total capital is calculated as annual net profit, plus one-half of annual long-term interest, divided by
the total of shareholders' equity and long-term debt (total capital). This concept measures the total productivity of
the capital deployed by a firm or industry, regardless of the financial source of the capital (i.e., equity, debt, or
liability element). As such, the return on total capital provides insight into the profitability of a business' assets
independent of financial structure and is thus a "purer" indicator of asset profitability than return on equity. In the
same way as described for net profit margin, the firms in an industry, and the industry collectively, must generate,
over time, a sufficient return on capital if the industry is to remain economically viable and attract capital. The
factors causing short-term variation in net profit margin will also be the primary sources of short-term variation in
return on total capital.
Figure B2C-10 below shows trends in net profit margins and return on total capital for the Petroleum Refining
segment between 1992 and 2003. Through the first half of the 1990s, the petroleum industry was characterized
by unusually low product margins, low profitability, and substantial restructuring. These low profit margins
resulted from three cost-side factors - (1) increases in operating costs as a result of governmental regulations; (2)
expensive upgrading of processing units to accommodate lower-quality crude oils;7 and (3) upgrading of
operations to adapt to changes in demand for refinery products8 - coupled with lower product prices, resulting
from competitive pressures (API, 1999). In the late 1990s, the petroleum industry pursued cost-cutting measures
throughout their operations (Rodekohr, 1999)9. These cost-cutting measures, along with increases in the prices of
'Crude oils processed by U.S. refineries have become heavier and more contaminated with materials such as sulfur. This trend
reflects reduced U.S. dependence on the more expensive high gravity ("light") and low sulfur ("sweet") crude oils produced in the Middle
East, and greater reliance on crude oil from Latin America (especially Mexico and Venezuela), which is relatively heavy and contains
higher sulfur ("sour") (U.S. DOE, 1999a).
8Demand for lighter products such as gasoline and diesel fuel has increased, and demand for heavier products has decreased.
'Reductions in costs resulted from:
* divesting marginal refineries and gasoline outlets;
* divesting less profitable activities (e.g., gasoline credit cards);
* reducing corporate overhead costs, including eliminating redundancies through restructuring;
* outsourcing some administrative activities; and
* use of new technologies requiring less labor.
B2C-21
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
petroleum refining products, resulted in significantly improved financial performance in the Petroleum Refining
segment. Refinery profits remained high in 2000 and the first half of 2001, due to low product inventories and
high operating rates. The latter half of 2001 and 2002 saw the effects of the global recession, the attacks of 9/11,
and a mild winter. These factors, coupled with world supply in excess of demand, led to decreases in refiner
margins, as crude oil prices increases and petroleum product prices decreased. In 2003, as the U.S. economy
began recovery from its economic weakness, the domestic Petroleum Refining segment returned to relatively
strong financial performance.
Figure B2C-10: Net Profit Margin and Return on Total Capital for Petroleum Refining
25%
20%
15%
10%
- Return on Total Capital
- Petroleum Refining
- Net Profit M argin -
Petroleum Refining
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
Source: Value Line 1999-2003
B2C-5 FACILITIES OPERATING COOLING WATER INTAKE STRUCTURES
Section 316(b) of the Clean Water Act applies to point source facilities that use, or propose to use, a cooling water
intake structure that withdraws cooling water directly from a surface waterbody of the United States. In 1982, the
Petroleum and Coal Products industry (SIC 29) withdrew 590 billion gallons of cooling water, accounting for
approximately 0.8 percent of total industrial cooling water intake in the United States10. The industry ranked 4th in
industrial cooling water use, behind the electric power generation industry and the chemical and primary metals
industries (1982 Census of Manufactures).
This section provides information for facilities in the petroleum segment potentially subject to the proposed
regulation. Existing facilities that meet all of the following conditions are potentially subject to the proposed
regulation:11
*• Use a cooling water intake structure or structures, or obtain cooling water by any sort of contract or
arrangement with an independent supplier who has a cooling water intake structure; or their cooling water
10 Data on cooling water use are from the 1982 Census of Manufactures. 1982 was the last year in which the Census of Manufactures
reported cooling water use.
11 The proposed Phase III regulation also applies to existing electric generating facilities as well as certain facilities in the oil and gas
extraction industry and the seafood processing industry. See Chapters B4 and B5 and Part C of this document for more information on
these industries.
B2C-22
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
intake structure(s) withdraw(s) cooling water from waters of the U.S., and at least twenty-five (25)
percent of the water withdrawn is used for contact or non-contact cooling purposes;
*• Have a National Pollutant Discharge Elimination System (NPDES) permit or are required to obtain one;
and
*• Have a design intake flow of greater than 2 million gallons per day (MGD).
The proposed Phase III regulation also covers substantial additions or modifications to operations undertaken at
such facilities. While all facilities that meet these criteria are potentially subject to the regulation, this section
focuses on the 36 facilities nation-wide in the petroleum segment identified in EPA's 2000 Section 316(b)
Industry Survey as being potentially subject to the proposed regulation12. Information collected in the Detailed
Industry Questionnaire found that an estimated 36 of 163 Petroleum Refining facilities, or 22 percent, meet the
characteristics of a potential Phase III facility.
B2C-5.1 Waterbody and Cooling System Type
Table B2C-10 shows the distribution of existing Section 316(b) Petroleum Refineries by type of water body and
cooling system. Twenty-six facilities, or 74 percent, obtain their cooling water from either a freshwater stream or
a river. Five facilities (14 percent) of refineries obtain their cooling water from either an estuary or atidal river.
Two facilities, or 6 percent, obtain their cooling water from a Great Lake. The other two sources of cooling water
reported for Petroleum Refineries were oceans and lakes/reservoirs, accounting for three percent each.
The most common cooling water system used by Petroleum Refineries is a recirculating cooling system,
representing approximately 53 percent of all systems used by refineries. Thirty-one percent of all refineries use a
combination cooling system. The remaining 14 percent use a once-through cooling system. Of the five plants
that withdraw from an estuary, the most sensitive type of waterbody, two use a once-through system. Plants with
once-through cooling water systems withdraw between 70 and 98 percent more water than those with
recirculating systems.
Table B2C-10: Number of Section 316(b) Petroleum Refining Facilities by Water Body Type
and Cooling System Type
Water Body Type
Estuary/ Tidal River
Ocean
Lake/ Reservoir
Freshwater Stream/ River
Great Lake
Total11
Cooling System
Recirculating
Number
0
0
1
18
0
19
%of
Total
0%
0%
100%
69%
0%
53%
Combination
XT U % Of
Number Total
3 60%
0 0%
0 0%
6 23%
2 100%
11 31%
Once-Through
Number
2
1
0
2
0
5
%of
Total
40%
100%
0%
8%
0%
14%
Total
5
1
1
26
2
36
a Individual numbers may not add up to total due to independent rounding.
Source: U.S. EPA, 2000.
12 EPA applied sample weights to the sampled facilities to account for non-sampled facilities and facilities that did not respond to the
survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer to the Information Collection Request (U.S.
EPA, 2000).
B2C-23
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2C: Petroleum Refining
According to the American Petroleum Institute and EPA, water use at Petroleum Refineries has been declining
because facilities are increasing their reuse of water (U.S. EPA, 1996a).
B2C-5.2 Facility Size
Section 316(b) sample facilities are larger than facilities in the petroleum refining industry as a whole, as reported
in the Census and discussed previously:
*• Forty percent of all facilities in the refineries segment had fewer than 100 employees in 1992; none of the
potential Phase III facilities in that segment fall into that employment category.
Figure B2C-11 shows the number of potential Phase III facilities by employment size category.
Figure B2C-11: Number of Section 316(b) Petroleum Refineries by Employment Size Category
4-
100-249
250-499
Source: U.S. EPA, 2000.
B2C-5.3 Firm Size
EPA used the Small Business Administration (SBA) small entity thresholds to determine the number of existing
Section 316(b) petroleum refineries owned by small firms. Firms in this industry are considered small if they
employ fewer than 1,500 people. Table B2C-11 shows that all of the Section 316(b) Petroleum Refineries are
owned by large firms.
Table B2C-11: Number of Section 316(b) Petroleum Refineries by Firm Size
SIC
2911
Large
No. % of SIC
36 100%
Small
No. % of SIC
0 0%
Total
36
Source: U.S. EPA, 2000; U.S. SBA, 2000; D&B, 2001.
B2C-24
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2C: Petroleum Refining
REFERENCES
American Petroleum Institute (API). 2004. "Year-end API monthly statistical report." January 14, 2004.
American Petroleum Institute (API). 2003a. "Year-end statistical report, 2002." January 15, 2003.
American Petroleum Institute (API). 2003b. Policy Analysis and Statistics Department. U.S. Petroleum
Industry's Environmental Expenditures, 1992-2001. February 20, 2003.
American Petroleum Institute (API). 2001. Policy Analysis and Statistics Department. U.S. Petroleum
Industry's Environmental Expenditures, 1990-1999. January 19,2001.
American Petroleum Institute (API). 1999. Policy Analysis and Strategic Planning Department. Economic State
of the U.S. Petroleum Industry. February 26, 1999.
Bureau of Labor Statistics (BLS). 2002. Producer Price Index. Series: PCU29 #-Petroleum Refining and
Related Products.
Dun and Bradstreet (D&B). 2001. Data extracted from D&B Webspectrum August 2001.
Executive Office of the President. 1987. Office of Management and Budget. Standard Industrial Classification
Manual.
Rodekohr, Dr. Mark. Financial Developments in '96- '97: How the U.S. Majors Survived the 1998 Crude Oil
Price Storm. Presentation. May 27, 1999. Available at:
http://www.eia.doe.gov/emeu/finance/highlite7/sld001.htm
Standard & Poor's. (S&P)2001. Industry Surveys-Oil & Gas: Production & Marketing. March 8, 2001.
U.S. Department of Commerce (U.S. DOC). 1989-2002. Bureau of the Census. Current Industrial Reports.
Survey of Plant Capacity.
U.S. Department of Commerce (U.S. DOC). 2001. Bureau of the Census. International Trade Administration.
U.S. Department of Commerce (U.S. DOC). 1988-1991, 1993-1996, and 1998 - 2001. Bureau of the Census.
Annual Survey of Manufactures.
U.S. Department of Commerce (U.S. DOC). 1997. Bureau of the Census. 1997 Economic Census Bridge
Between NAICS and SIC.
U.S. Department of Commerce (U.S. DOC). 1987, 1992, and 1997. Bureau of the Census. Census of
Manufactures.
U.S. Department of Energy (U.S. DOE). 2004. Energy Information Administration. Performance Profiles of
Major Energy Producers 2002. DOE/EIA-0206(04). February 2004.
U.S. Department of Energy (U.S. DOE). 2003a. Energy Information Administration. Petroleum Supply Annual
2002, Volume 1. DOE/EIA-0340(02)/1. June 2003.
U.S. Department of Energy (U.S. DOE). 2003b. Energy Information Administration. Annual Energy Review
2002. DOE/EIA-0384(2002). October 2003.
U.S. Department of Energy (U.S. DOE). 2001a. Energy Information Administration. Petroleum Supply Annual
2000, Volume 1. DOE/EIA-0340(00)/1. June 2001.
B2C-25
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2C: Petroleum Refining
U.S. Department of Energy (U.S. DOE). 2001b. Energy Information Administration. Annual Energy Review
2000. DOE/EIA-0384(00). August 2001.
U.S. Department of Energy (U.S. DOE). 2001c. Energy Information Administration. Monthly Energy Review.
DOE/EIA-0035(2001/10). October 2001.
U.S. Department of Energy (U.S. DOE). 1999a. Energy Information Administration. Petroleum: An Energy
Profile, 1999. p. 25. DOE/EIA-0545(99). July 1999.
U.S. Department of Energy (U.S. DOE). 1999b. Energy Information Administration. The U.S. Petroleum
Refining and Gasoline Marketing Industry. Recent Structural Changes in U.S. Refining: Joint Ventures, Mergers,
and Mega-Mergers. July 9, 1999.
U.S. Department of Energy (U.S. DOE). 1999c. Energy Information Administration. Petroleum Marketing
Annual 1998. DOE/EIA-0487(98). October 1999.
U.S. Department of Energy (U.S. DOE). 1997. Energy Information Administration. Petroleum 1996: Issues and
Trends.
p. 15. DOE/EIA-0615(96). September 1997.
U.S. Department of Energy (U.S. DOE). Financial Reporting System (FRS) historical data.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Detailed Industry Questionnaire: Phase II Cooling
Water Intake Structures.
U.S. Environmental Protection Agency (U.S. EPA). 1996a. Office of Water. Preliminary Data for the
Petroleum Refining Category. EPA-821-R-96-016. July, 1996.
U.S. Environmental Protection Agency (U.S. EPA). 1996b. Office of Solid Waste. Study of Selected Petroleum
Refining Residuals: Industry Study. August, 1996.
U.S. Small Business Administration (U.S. SBA). 1989-2001. Statistics of U.S. Businesses.
Available at: http://www.sba.gov/advo/stats/int_data.html
U.S. Small Business Administration (U.S. SBA). 2000. Small Business Size Standards. 13 CFR section 121.201.
Value Line. 1992-2003. Value Line Investment Survey.
Value Line. 2001. "Petroleum (Integrated) Industry." September 21, 2001.
World Oil. 1999. "1998: A year of infamy." February 1, 1999. Vol. 220. No.2 Available at:
http://www.worldoil.com/magazine/MAGAZINE_DETAIL.asp?ART_ID=478&MONTH_YEAR=Feb-1999
B2C-26
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Chapter B2D: Steel (SIC 331)
EPA's Detailed Industry Questionnaire,
hereafter referred to as the DQ, identified five 4-
digit SIC codes in the Steel Works, Blast
Furnaces, and Rolling and Finishing Mills
Industries (SIC 331) with at least one existing
facility that operates a CWIS, holds a NPDES
permit, withdraws equal to or greater than two
million gallons per day (MOD) from a water of
the United States, and uses at least 25 percent of
its intake flow for cooling purposes (facilities
with these characteristics are hereafter referred
to as facilities potentially subject to the Phase III
regulation or "potential Phase III facilities").
For each of the five SIC codes, Table B2D-1
below provides a description of the industry
segment, a list of primary products
manufactured, the total number of detailed
questionnaire respondents (weighted to represent
national results), and the number and percent of
potential Phase III facilities within the estimated
national total of facilities in the respective
industry SIC code groups.
CHAPTER CONTENTS
B2D-1 Summary Insights from this Profile B2D-3
B2D-2 Domestic Production B2D-4
B2D-2.1 Output B2D-5
B2D-2.2 Prices B2D-9
B2D-2.3 Number of Facilities and Firms B2D-9
B2D-2.4 Employment and Productivity B2D-11
B2D-2.5 Capital Expenditures B2D-14
B2D-2.6 Capacity Utilization B2D-15
B2D-3 Structure and Competitiveness B2D-16
B2D-3.1 Geographic Distribution B2D-17
B2D-3.2 Facility Size B2D-18
B2D-3.3 Firm Size B2D-20
B2D-3.4 Concentration Ratios B2D-20
B2D-3.5 Foreign Trade B2D-22
B2D-4 Financial Condition and Performance B2D-24
B2D-5 Facilities Operating Cooling Water Intake
Structures B2D-25
B2D-5.1 Waterbody and Cooling System Type . . . B2D-26
B2D-5.2 Facility Size B2D-27
B2D-5.3 Firm Size B2D-28
References B2D-29
Table B2D-1: Potential Phase III facilities in the Steel Industry (SIC 331)
SIC
SIC Description
Important Products Manufactured
Number of Facilities3
_, , , Potential Phase „,
Total TTT, ..... „ %
in facilities
Steel Mills (SIC 3312)
3312
Steel Works, Blast
Furnaces (Including
Coke Ovens), and
Rolling Mills
Hot metal, pig iron, and silvery pig iron from iron ore
and iron and steel scrap; converting pig iron, scrap
iron, and scrap steel into steel; hot-rolling iron and
steel into basic shapes, such as plates, sheets, strips,
rods, bars, and tubing; merchant blast furnaces and
byproduct or beehive coke ovens
161
46
28.6%
Steel Products (SICs 3315, 3316, 3317)
3315
3316
3317
Steel Wiredrawing and
Steel Nails and Spikes
Cold-Rolled Steel Sheet,
Strip, and Bars
Steel Pipe and Tubes
Drawing wire from purchased iron or steel rods, bars,
or wire; further manufacture of products made from
wire; steel nails and spikes from purchased materials
Cold-rolling steel sheets and strip from purchased hot-
rolled sheets; cold-drawing steel bars and steel shapes
from hot-rolled steel bars; producing other cold
finished steel
Production of welded or seamless steel pipe and tubes
and heavy riveted steel pipe from purchased materials
Total Steel Products
122 7 5.7%
57 10 17.5%
130 5 3.8%
309 21 6.8%
B2D-1
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Table B2D-1: Potential Phase III facilities in the Steel Industry (SIC 331)
SIC
SIC Description
Important Products Manufactured
Number of Facilities3
_, , , Potential Phase „,
Total _-._ ..... b %
in facilities b
Other Segments
3313
Electrometallurgical
Products, Except Steel
Ferro and nonferrous metal additive alloys by
electrometallurgical or metallothermic processes,
including high percentage ferroalloys and high
percentage nonferrous additive alloys
6 2 33.3%
Total Steel (SIC 331)
Total SIC Code 331
476
68
14.3%
a Number of weighted detailed questionnaire survey respondents.
b Individual numbers may not add up due to independent rounding.
Source: U.S. EPA, 2000; Executive Office of the President, 1987
The table shows that an estimated 68 out of 476 facilities (or 14 percent) in the Steel Industry (SIC 331) are
potentially subject to this proposed regulation. EPA also estimated the percentage of total production that occurs
at facilities potentially subject to the proposed regulation. Total value of shipments for the steel industry from
the 1998 Annual Survey of Manufacturers is $76.2 billion. Value of shipments, a measure of the dollar value of
production, was selected for the basis of this estimate. Because value of shipments data were not collected using
the DQ, these data were not available for the sample of Phase III manufacturing facilities potentially subject to the
proposed regulation. Total revenue, as reported on the DQ, was used a close approximation for value of
shipments for these facilities. EPA estimated the total revenue of facilities in the steel industry subject to the
proposed regulation is $38.4 billion. Therefore, EPA estimates that 50 percent of total production in the steel
industry occurs at facilities potentially subject to the proposed regulation.
The responses to the Detailed Questionnaire indicate that two main steel segments account for the largest numbers
of potential Phase III facilities: (1) Steel Mills (SIC code 3312) and (2) Steel Products (SIC codes 3315, 3316, and
3317). Of the 70 potential Phase III facilities in the steel industry, 46, or 66 percent, are Steel Mills, and 22, or 32
percent, are Steel Products facilities. The remainder of the steel industry profile therefore focuses on these two
industry segments
Table B2D-2 provides the cross-walk between SIC codes and the new NAICS codes for the profiled steel SIC
codes. The table shows that both cold finishing of steel shapes (SIC 3316) and steel pipe and tubes (SIC 3317)
have a one-to-one relationship to NAICS codes. The other SIC codes in the profiled steel segments correspond to
two NAICS codes.
B2D-2
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Table B2D-2: Relationships between SIC and NAICS Codes for the Steel Industries (1997)
SIC
Code
3312
3313
3315
3316
3317
SIC Description
Blast furnaces and
steel mills
Blast furnaces and
steel mills
Electrometallurgical
products
Electrometallurgical
products
Steel wire and related
products
Steel wire and related
products
Cold finishing of steel
shapes
Steel pipe and tubes
NAICS
Code
324199
331111
331112
331492
331222
332618
331221
331210
NAICS Description
All other petroleum and coal
products manufacturing (pt)
Iron and steel mills (pt)
Electrometallurgical
ferroalloy product
manufacturing
Secondary smelting, refining,
and alloying of nonferrous
metal (except copper and
aluminum) (pt)
Steel wire drawing
Other fabricated wire product
manufacturing (pt)
Cold-rolled steel shape
manufacturing
Iron and steel pipes and tubes
manufacturing from
purchased steel
Number of
Establishments
8
193
24
4
273
31
186
235
Shipments
438,107
56,358,764
1,409,834
125,945
4,920,798
370,492
6,343,466
7,565,377
Employment
1,731
144,074
3,724
311
23,489
2,265
14,362
27,723
Source: U.S. DOC, 1997
B2D-1 SUMMARY INSIGHTS FROM THIS PROFILE
A key purpose of this profile is to provide insight into the ability of steel industry firms that would be subject to
the 316(b) regulation to absorb compliance costs without material adverse economic/financial effects. Two
important factors in the ability of the industry's ability to withstand compliance costs are: (1) the extent to which
the industry may be expected to shift compliance costs to its customers through price increases and (2) the
financial health of the industry and its general business outlook.
Likely Ability to Pass Compliance Costs Through to Customers
As reported in the following sections of this profile, the steel industry is relatively unconcentrated, which would
suggest that firms in this industry would have difficulty in passing through to customers a significant portion of
their compliance-related costs. In addition, the domestic steel industry faces high competition from imports into
the U.S. market, further curtailing the potential of firms in this industry to pass through to customers a significant
portion of their compliance-related costs. As discussed above, the proportion of total value of shipments in the
industry potentially subject to the proposed regulation is 50 percent. The actual proportion of total value of
shipments subject to regulation-induced compliance costs would be smaller since not all of the facilities would be
subject to the national categorical requirements of the proposed regulation: that is, facilities below the proposed
design intake flow (DIP) would be subject to permitting based on best professional judgement (BPJ) rather than
based on national standards, and several facilities currently employ baseline technologies that meet the
requirements of the proposed regulation. Given the likelihood that these percentages represent upper bound
estimates, EPA believes that the theoretical threshold for justifying the use of industry-wide CPT rates in the
impact analysis of existing Phase III steel facilities has not been met. For these reasons, in its analysis of
regulatory impacts for the steel industry, EPA assumed that complying firms would be unable to pass compliance
costs through to customers: i.e., complying facilities must absorb all compliance costs within their financial
B2D-3
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2D: Steel
condition at the time of compliance (see following sections and Appendix 3 to Chapter B3: Economic Impact
Analysis for Manufacturers for further information).
Financial Health and General Business Outlook
Over the past decade, the steel industry, like other U.S. manufacturing industries, experienced a range of
economic/financial conditions, including substantial challenges. The U.S. steel industry went through a difficult
restructuring process in the 1980s and early 1990s, including the closing of a number of inefficient mills,
substantial investment in new technologies, and reductions in the labor force. Although U.S. demand for steel
was strong in the late 1990s, low-priced imports increased substantially in 1998, which caused a number of U.S.
steel bankruptcies and steelworker layoffs. The increased imports resulted from the Asian financial crisis, with
the associated decline in Asian demand for steel and currency devaluations. Tariffs provided temporary relief
through 2002; however, all tariffs were removed by the end of 2003. The steel industry was also negatively
affected by economic recession in 2000 and 2001 and has been slow to recover. The industry has weathered
difficult periods over the past few years and may be in position for better performance with continued
strengthening of the U.S. economy. However, until such improvement manifests more concretely, the industry's
relatively weak financial condition suggest a lower ability (among the industries subject to the 316(b) regulation)
to withstand additional regulatory compliance costs without imposing significant financial impacts.
B2D-2 DOMESTIC PRODUCTION
Steel is one of the most important products of the U.S. industrial metals industry. For most of the twentieth
century, the U.S. steel industry consisted of a few large companies utilizing an integrated steelmaking process to
produce the raw steel used in a variety of commodity steel products. The integrated process requires a large
capital investment to process coal, iron ore, limestone, and other raw materials into molten iron, which is then
transformed into finished steel products (S&P, 2001). In recent decades, the integrated steel industry has
undergone a dramatic downsizing as a result of increased steel imports, decreased consumption by the auto
industry, and the advent of "minimills" (S&P, 2001)1. While the traditional integrated facilities using basic
oxygen furnaces (BOF) still account for a substantial percent of U.S. steel mill product production, the share of
electric arc furnace (EAF) facilities using scrap steel as an input has grown steadily2. By 2002, about 72
companies operating about 107 steelmaking plants used the EAF steelmaking process; these non-integrated,
minimill facilities produced 46.1 million metric tons of steel, an increase of about eight percent compared with
that of 2001, and accounted for 50.4 percent of total steelmaking (USGS, 2002). The range of products produced
by EAFs has also expanded over time. Initially, EAFs produced primarily lower-quality structural materials.
Starting in the 1990s, EAFs began producing higher quality sheet products as well. All recent capacity additions
have been at EAF facilities.
Basic steel mill products include carbon steel, steel alloys, and stainless steel. Steel forming and finishing
operations may take place at facilities co-located with steelmaking or at separate facilities. These operations take
steel (in the form of blooms, billets, and slabs) and use heating, rolling or drawing, pickling, cleaning,
galvanizing, and electroplating processes in various combinations to produce finished bars, wire, sheets, and coils
(semifinished steel products). Establishments that produce hot rolled products, along with basic BOF and EAF
steelmaking facilities, are included in SIC 3312. SIC codes 3315, 3316, and 3317 perform additional processing
of steel bars, wires, sheets, and coils (including cold-rolling of sheets) to produce steel products for a variety of
end-uses (U.S. EPA, 1995).
1 Large integrated producers include such companies as Bethlehem Steel, LTV, and U.S. Steel. Nucor is the largest U.S. minimill
producer.
2 Production from open hearth furnaces, which dominated production until the early 1950s, ended in 1991. BOF facilities have
traditionally been referred to as integrated producers, because they combined iron-making from coke, production of pig iron in a blast
furnace, and production of steel in the BOF. In recent years, some facilities have closed their coke ovens. These BOF facilities are no
longer fully integrated.
B2D-4
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
The steel industry is the fourth largest energy-consuming industry in the U.S. economy. Energy costs account for
approximately 17 percent of the total manufacturing cost (AISI 2000). Steelmakers use coal, oil, electricity, and
natural gas to fire furnaces and run process equipment. Minimill producers require large quantities of electricity
to operate the electric arc furnaces used to melt and refine scrap metal, while integrated steelmakers depend on
coal for up to 60 percent of their total energy requirements (McGraw-Hill, 1998).
B2D-2.1 Output
Steel mill products are sold to service centers (which buy finished steel, often process it further, and sell to a
variety of fabricators, manufacturers, and construction industry clients), to vehicle producers, and to the
construction industry. The rapid growth in sales of heavy sports utility vehicles contributed to increased U.S.
steel consumption in the 1990s. Efforts to increase the fuel efficiency of vehicles has eroded steel's position in
the automotive market as a whole, however, as aluminum and plastic have replaced steel in many automotive
applications. Other end-uses for steel include a wide range of agricultural, industrial, appliance, transportation,
and container applications. Use of steel in beverage cans has been largely replaced by aluminum.
Table B2D-3 shows trends in production from the two major groups of steel producers: BOF and EAF facilities.
Table B2D-3: U.S. Steel Production by Type of Producer
Year
1990a
1991b
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003C
Total Percent Change
1990-2003
Average Annual
Growth Rate change
Steel Production
Million MT % Change
89.7
79.7
84.3
88.8
91.2
95.2
95.5
98.5
98.6
97.4
102
90.1
91.6
91.5
2.0%
0.2%
n/a
-11.1%
5.8%
5.3%
2.7%
4.4%
0.3%
3.1%
0.1%
-1.2%
4.7%
-11.7%
1.7%
-0.1%
Percent from
BOF
59.1%
60.0%
62.0%
60.6%
60.7%
59.6%
57.4%
56.2%
54.9%
53.7%
53.0%
52.6%
49.6%
48.0%
Percent from
EAF
37.3%
38.4%
38.0%
39.4%
39.3%
40.4%
42.6%
43.8%
45.1%
46.3%
47.0%
47.4%
50.4%
52.0%
a 3.5 percent of 1990 production was from open hearth furnaces.
b 1.6 percent of 1991 production was from open hearth furnaces.
c Estimated.
Source: AISI, 2001b; USGS, 2000; USGS, 1997; USGS 2004; USGS, Iron and Steel
Statistical Compendium.
B2D-5
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2D: Steel
This table shows the cyclical nature of the U.S. steel industry, with variations in growth from year to year
reflecting general U.S. and world economic conditions, persistent excess production capacity worldwide, the
competitive strength of imports, and trends in steel's share of the automotive and other end-use markets for steel.
The U.S. steel industry went through a difficult restructuring process in the 1980s and early 1990s, including the
closing of a number of inefficient mills, substantial investment in new technologies, and reductions in the labor
force. The U.S. became a world leader in low-cost production, lead by the minimill producers. Although U.S.
demand for steel was strong in the late 1990s, low-priced imports increased substantially in 1998, which led to a
number of U.S. steel bankruptcies and steelworker layoffs. The increased imports resulted from the Asian
financial crisis, with the associated decline in Asian demand for steel and currency devaluations. The U.S.
government initiated the Steel Action Program in response to the crisis, focusing on strong enforcement of trade
laws through the World Trade Organization and bilateral efforts to address market-distorting practices abroad3.
The industry began to show signs of recovery in the second half of 1999, and by early 2000 capacity utilization
recovered to above 90 percent and earnings were up for most major steel companies (U.S. DOC, 2000).
However, beginning in 2000, the weakening of the U.S. economy significantly reduced steel demand and total
U.S. steel production fell by nearly 12 percent in 2001. In March 2002, the U.S. steel industry received
temporary relief under Section 201 of the 1974 Trade Act with 3 years of tariffs ranging up to 30 percent on
certain steel imports. Relief from imports was nullified to some extent when the U.S. Department of Commerce
exempted 727 imported steel products from the tariff in June 2002. By year end, 2002 was the fourth highest
steel import year in U.S. history. (USGS, 2002). Removal of all tariffs occurred on December 4, 2003. (S&P,
2004).
The steel industry is recovering, but slowly, from the import penetration in the late 90's followed by the economic
recession in 2001. In 2003, the integrated steel industry had poor operating results, as high raw material costs
outweighed increased sales and higher volumes. As a result, most domestic steel producers instituted a raw
material surcharge to offset sharply rising costs for raw materials such as scrap, iron ore and coke. Additionally,
worldwide capacity remains in excess of long-term needs. Imports will most likely rise in 2004 after the removal
of tariffs. However, to the extent that imports put downward pressure on prices, they may force the shutdown of
marginal capacity currently operating. These capacity reductions will reduce domestic supply, and may set the
stage for better financial performance in later years (S&P, 2004).
Value of shipments and value added are two common measures of manufacturing output4. They provide
insight into the overall economic health and outlook for an industry. Value of shipments is the sum of the receipts
a manufacturer earns from the sale of its outputs; it indicates the overall size of a market or the size of a firm in
relation to its market or competitors. Value added measures the value of production activity in a particular
industry. It is the difference between the value of shipments and the value of inputs used to make the products
sold.
Figure B2D-1 presents trends in constant-dollar value of shipments and value added for Steel Mills and Steel
Products. Value of shipments and value added from Steel Mills declined in the early 1990s, and recovered
through 1997, prior to the 1998 import crisis and the later U.S. economic recession. This segment continued to
decline through 2001. Value of shipments and value added for Steel Products were less volatile, increasing
gradually over the period 1990 through 1997. Value added stayed relatively constant through 2001, while value
of shipments slightly declined.
3 World steel trade is characterized by noncompetitive practices in a number of countries, which have resulted in substantial friction
over trade issues since the late 1960s. Since 1980, almost 40 percent of the unfair trade practice cases investigated in the U.S. have been
related to steel products (U.S. DOC, 2000).
4 Terms highlighted in bold and italic font are further explained in the glossary.
B2D-6
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Figure B2D-1: Value of Shipments and Value Added for Profiled Steel Industry Segments
(millions,$2003)
Value of Shipments
7QOOO
30,000
40,000
30,000
10,000
•••--•„
-»— Steel Mils (SIC3312)
-»-- -Steel Mils (I-MCSto
SC3312)
-A— Steel Roducts (SIC
3315,3316,3317)
to SIC3315, 3316, 3317)
1990 1991 1992 1993 1994 1995 1995 1997 1993 1999 3000 3001
Value Added
12,000
10,000
8,000
6,000
4,000
2,000
0
A A -A.
A A A-----A A-
-4— SteelMills(SIC3312)
-*---SteelMlls(>MCSto
SIC3312)
-A—SteelRoducts(SIC
3315,3316,3317)
-A--- SteelRDducts(>MCS
to SIC3315,3316,3317)
1987 1988 1989 1990 1991 1992 1993 1994 1995 1995 1997 1998 1999 2000 2001
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996 and 1998-2001; US. DOC, 1987, 1992, 1997.
B2D-7
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
B2D-2.2 Prices
The producer price index (PPI) measures price changes, by segment, from the perspective of the seller, and
indicates the overall trend of product pricing, and thus supply-demand conditions, within a segment.
Figure B2D-2 below shows that prices increased from 1987 to 1989 and then decreased in the early 1990s, due to
a depressed domestic economy and the resulting decline in the demand for steel. Prices rebounded sharply
through 1995 before eroding again, due to the global oversupply and increases in exports discussed above. Basic
steel prices declined sharply with the growth of imports in the late 1990s, recovered in 2000, but dropped again in
2001with the decline in steel demand (S&P, 2001; AISI, 200la). Prices increased slightly in 2002 with the
beginning of the economic recovery. The reason prices in the Steel Mill segment have declined since 1997, while
prices in the Steel Products segment have remained constant, is most likely due to the advent of mini-mill
technology, which lowers the cost of production and therefore lowers prices as well.
Figure B2D-2: Producer Price Index for Profiled Steel Industry Segments
130
125
120
115
110
105
100
95
/
- Steel Mils (SIC3312)
- Steel ftoducts (SIC
3315,3316,3317)
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
Source: BLS, 2002.
B2D-2.3 Number of Facilities and Firms
The number of operating Steel Mills fluctuated significantly between 1989 and 2001, as the U.S. industry
underwent a substantial restructuring. Table B2D-4 shows substantial decreases in the number of facilities in
1992 and 1993 due to a significant decrease in global demand for Steel Products and resulting overcapacity. This
decrease was followed by a significant recovery in 1995 and 1996. The number of facilities continued to rise
through 2001, with the largest increase around 1998. This increase could result in part from the advent of
minimills discussed above. The import crisis in 1998 ultimately led to bankruptcy for a number of U.S.
producers, including LTV and Bethlehem Steel (S&P, 2001). Additionally, 7 major bankruptcies occurred over
2002 and early 2003, including Bayou Steel Corp, Kentucky Electric Steel Inc, Slater Steel Inc, and Weirton Steel
Corp. (USGS, 2004)
B2D-8
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
In contrast to the volatility in the number of Steel Mills, the number of facilities in the Steel Products segment has
remained relatively stable for the past twelve years, with increases towards the end of the period.
Table B2D-4: Number of Facilities in the Profiled Steel Industry Segments
Year
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1998a
1999a
2000a
200 r
Total Percent Change
1989-2001
Average Annual
Growth Rate
Steel
Number of
Facilities
476
497
531
412
343
339
391
483
297
346
398
685
981
1,352
184.0%
9.1%
Mills
Percent
Change
n/a
4.4%
6.8%
-22.4%
-16.7%
-1.2%
15.3%
23.5%
-38.5%
16.5%
34.0%
72.1%
43.2%
37.9%
Steel Products
Number of
Facilities
784
776
807
831
833
804
791
770
727
801
865
919
1,026
1,028
10.3%
2.3%
Percent
Change
n/a
-1.0%
4.0%
3.0%
0.2%
-3.5%
-1.6%
-2.7%
-5.6%
10.2%
19.0%
6.2%
11.7%
0.2%
a Before 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the
North American Industry Classification System (NAICS). For this analysis, EPA converted the
NAICS classification data to the SIC code classifications using the 1997 Economic Census Bridge
Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
The trend in the number of firms over the period between 1990 and 2001 is similar to the trend in the number of
facilities in both industry segments. The number of firms in the Steel Mill segment decreased to a period-low of
216 in 1997, before increasing over the rest of the period. According to the American Iron and Steel Institute
(AISI), 23 U.S. steel companies either declared bankruptcy or ceased operations entirely from 1997 through mid-
2001, as a result of the continuing trade difficulties and weakness in the U.S. economy (AISI, 2001a). The
number of firms in the Steel Products segment also decreased from 1992 to 1998, before rising steadily through
2001.
B2D-9
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Table B2D-5 shows the number of firms in the two profiled steel segments between 1990 and 2001.
Table B2D-5: Number of Firms in the Profiled Steel Industry Segments
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998
1998a
1999a
2000a
200 r
Total Percent Change
1990-2001
Average Annual
Growth Rate
Steel
Number of Firms
408
433
321
261
258
309
397
216
267
314
593
885
1,254
207.4%
10.7%
Mills
Percent Change
n/a
6.1%
-25.9%
-18.7%
-1.1%
19.8%
28.5%
-45.6%
23.6%
45.3%
89.0%
49.2%
41.6%
Steel Products
Number of Firms Percent Change
597
635
661
641
618
607
583
544
601
666
716
810
811
35.8%
2.8%
n/a
6.4%
4.1%
-3.0%
-3.6%
-1.8%
-4.0%
-6.7%
10.5%
22.4%
7.4%
13.2%
0.1%
a Before 1998, data were compiled in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data
to the SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
B2D-2.4 Employment and Productivity
Figure B2D-3 below provides information on Employment from the Annual Survey of Manufactures for the
Steel Mills and Steel Products segments. The figure shows that employment levels in the Steel Mills segment
decreased by a total of 33 percent between 1987 and 2001. Employment is a significant cost component for
steelmakers, accounting for approximately 30 percent of total costs (McGraw-Hill, 1998). Labor cost reductions
enabled Steel Mills to improve profitability and competitiveness in the face of limited opportunity for price
increase in the highly competitive market for Steel Products. The steady decline in employment reflects the
smaller number of Steel Mill facilities and firms, in conjunction with aggressive efforts to improve worker
productivity in order to cut labor costs and improve profits (McGraw-Hill, 1998). Employment declined further
as a result of the 1998 import crisis, with almost 26,000 U.S. steelworkers reportedly losing their jobs (AISI,
2001a). Employment in the Steel Products segment over the period 1987-2001 has remained fairly constant.
Figure B2D-3: Employment for Profiled Steel Industry Segments
B2D-10
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
200,000
100,000
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
Steel Mils (SIC 3312)
•»•-• Steel Mils (NAICS to
SIC 3312)
-ii— Steel Products (SIC
3315,3316,3317)
• A- - • Steel Products (NAICS
to SIC 3315,3316,3317)
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996 and 1998-2001; U.S. DOC, 1987, 1992, 1997.
B2D-11
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Table B2D-6 presents the change in value added per labor hour, a measure of labor productivity, for the Steel
Mill and Steel Products segments between 1987 and 2001. Labor productivity at Steel Mills increased slightly
over this period. Value added per labor hour increased around seven percent between 1987 and 2001. Much of
this increase in labor productivity can be attributed to the restructuring of the U.S. steel industry and the increased
role of minimills in production. Minimills are capable of producing rolled steel from scrap with substantially
lower labor needs than integrated mills (McGraw-Hill, 1998). Labor productivity in the Steel Products segment
has also fluctuated, but increased nine percent overall from 1987 to 2001.
Table B2D-6: Productivity Trends for the Profiled Steel Industry Segments ($2003)
Year
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999a
2000"
2001a
Total Percent Change
1987-2001
Average Annual
Growth Rate
Value
Added
(millions)
9,269
9,817
9,631
9,490
8,682
8,605
8,369
8,529
8,604
8,389
8,206
8,170
7,715
7,836
6739
-27.3%
-2.3%
Steel
Production
Hours
(millions)
306
324
348
315
279
277
268
266
263
260
252
245
237
241
210
-31.4%
-2.7%
Mills
Value Added/Hour
,„ „ , Percent
(S/hr) _,,
v ' Change
30
30
28
30
31
31
31
32
33
32
33
33
33
32
32
6.7%
0.5%
n/a
0%
-9%
9%
3%
0%
1%
2%
2%
-2%
1%
2%
-2%
0%
-1%
Steel Products
Value
Added
(millions)
2,355
2,550
2,447
2,445
2,342
2,424
2,551
2,572
2,647
2,645
2,645
2,702
2,588
2,641
2427
3.1%
0.2%
Productio
n Hours
(millions)
108
94
112
93
106
87
109
91
114
134
110
113
108
109
100
-7.4%
-0.5%
Value Added/Hour
,„ „ , Percent
(S/hr) _,,
v ' Change
22
27
22
26
22
28
23
28
23
20
24
24
24
24
24
9.1%
0.6%
n/a
24%
-20%
21%
-17%
27%
-16%
21%
-18%
-15%
21%
0%
0%
0%
0%
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996 and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
B2D-12
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2D: Steel
B2D-2.5 Capital Expenditures
Steel production is a relatively capital intensive process. The integrated production process requires a capital
investment of approximately $2,000 per ton of capacity for plants and equipment. The nonintegrated process
employed in minimills is significantly less capital intensive with capital costs of approximately $500 per ton of
capacity (McGraw-Hill, 1998).
New capital expenditures are needed to modernize, expand, and replace existing capacity to meet growing
demand. Capital expenditures in the Steel Mills and the Steel Products segments between 1987 and 2001 are
presented in Table B2D-7 below. The table shows that capital expenditures in both the Steel Products and the
Steel Mills dropped significantly between 1987 and 2001. Capital outlays increased in the late 1980s and early
1990s, rising by a total of 131 percent from 1987 to 1991. This substantial increase coincides with the advent of
thin slab casting, a technology that allowed minimills to compete in the market for flat rolled sheet steel. The
significant decreases in capital expenditures by Steel Mills that followed this expansion reflects the bottoming out
of the demand for Steel Products in the early 1990s. The recovery in capital expenditures in the mid 1990s
reflected increased demand and higher utilization rates (McGraw-Hill, 1998). However, the import crisis of the
late 1990s and later weakening of the U.S. economy put pressure on the domestic industry, and expenditures for
new capacity have decreased steadily since 1997 (McGraw-Hill, 2000).
B2D-13
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Table B2D-7: Capital Expenditures for the Profiled Steel Industry Segments (millions,$2003)
Year
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999a
2000a
2001a
Total Percent Change
1987-2001
Average Annual
Growth Rate
Steel
Capital
Expenditures
1,761
2,642
3,360
3,307
3,736
2,704
2,126
3,059
3,156
3,173
2,871
2,821
2,391
2,175
1,378
-21.7%
-1.7%
Mills
Percent Change
n/a
50.0%
27.2%
-1.6%
13.0%
-27.6%
-21.4%
43.9%
3.2%
0.5%
-9.5%
-1.7%
-15.2%
-9.0%
-36.6%
Steel
Capital
Expenditures
783
597
678
677
482
496
542
626
611
658
605
578
488
507
437
-44.2%
-4.1%
Products
Percent Change
n/a
-23.8%
13.6%
-0.1%
-28.8%
3.0%
9.2%
15.4%
-2.4%
7.7%
-8.0%
-4.5%
-15.6%
3.9%
-13.9%
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in
the North American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification
data to the SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996 and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
B2D-2.6 Capacity Utilization
Capacity utilization measures actual output as a percentage of total potential output given the available
capacity. Capacity utilization provides insight into the extent of excess or insufficient capacity in an industry, and
into the likelihood of investment in new capacity. Figure B2D-4 presents the capacity utilization index from 1989
to 2002 for the 4-digit SIC codes that make up the Steel Mill and Steel Products segments. As shown in the
figure, the index follows similar trends in each segment. For all segments, capacity utilization peaked in 1994 and
decreased through 2001, with a slight increase in 2002. This trend reflects the over-capacity in the U.S. steel
industry, which has followed the substantial capacity additions in the late 1980s and early 1990s and increased
imports throughout the 1990s. Worldwide capacity remains in excess of long-term needs (S&P, 2004).
B2D-14
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Figure B2D-4: Capacity Utilization Rates (Fourth Quarter) for Profiled Steel Industry Segments
240
190
140
90--
40
li'
-SteelMills (SIC3312)
•Steel Mills (NAICS to SIC
3312)
- Steel Products (SIC 3315,
3316, 3317)
-A- - - Steel Products (NAICS to
SIC 3315,3316, 3317)
1989 1991 1993 1995 1997 1999 2001
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1989-2001.
B2D-3 STRUCTURE AND COMPETITIVENESS
The companies that manufacture steel operate in a highly capital intensive industry. The Steel Mill segment is
comprised of two different kinds of facilities, integrated mills and minimills. The integrated steelmaking process
requires expensive plant and equipment purchases that will support production capacities ranging from two
million to four million tons per year. Until the early 1960s, integrated steelmaking was the dominant method of
U.S. steel manufacturing. Since then, the integrated steel business underwent dramatic downsizing due to
competition from minimills and imports. These trends reduced the number of integrated steelmakers (S&P,
2001). Minimills vary in size, from capacities of 150,000 tons at small facilities to larger facilities with annual
capacities of between 400,000 tons and two million tons. Integrated companies have significant capital costs of
approximately $2,000 per ton of capacity compared with minimills' $500 per ton. Because minimills do not
require as much investment in capital equipment as integrated steelmakers, minimills have been able to lower
prices, driving integrated companies out of many of the commodity steel markets (S&P, 2001). The advent of
minimills, with their lower initial capital investments, has made it easier for new producers to enter the market.
B2D-15
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
B2D-3.1 Geographic Distribution
Steel mills are primarily concentrated in the Great Lakes Region (New York, Pennsylvania, Ohio, Indiana,
Illinois, and Michigan). In 2003, Indiana accounted for about 20 percent of total raw steel production, followed
by Ohio, 15 percent, Michigan, seven percent, and Pennsylvania six percent (USGS, 2004). Historically, mill
sites were selected for their proximity to water (both for transportation and for use in cooling and processing) and
the sources of their raw materials, iron ore and coal. The geographic concentration of the industry has begun to
change as minimills can be built anywhere where electricity and scrap are available at a reasonable cost and where
a local market exists (U.S. EPA, 1995). Figure B2D-5 below shows the distribution of all facilities by State in
both profiled steel segments (Steel Mills and Steel Products), based on the 1992 Census of Manufactures.5
Figure B2D-5: Geographical Distribution of Facilities in the Profiled Steel Industry Segments
Number of Facilities
0-3
4-8
9-32
33-58
59 - 104
Source: U.S. DOC, 1987, 1992, and 1997.
The 1992 Census of Manufactures is the most recent data available by SIC code and State.
B2D-16
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2D: Steel
B2D-3.2 Facility Size
Seventy-one percent of all Steel Mills employed 100 or more employees in 1992, as shown in Figure B2D-6.
These facilities accounted for approximately 98 percent of 1992 value of shipments. Facilities with more than
1,000 employees accounted for approximately 69 percent of all Steel Mill shipments. For 1997, Census of
Manufactures data for Iron and Steel Mills (NAICS 331111), which is roughly comparable to the SIC 3312 data
shown in Figure B2D-6, show that the 11 percent of facilities with more than 1,000 employees accounted for a
somewhat smaller percentage, 63 percent, of total value of shipments. The declining share of total production in
the largest facilities reflects growth in the minimill production segment, which, on average, have smaller capacity
and lower employment than integrated mills.
The Steel Products segment is characterized by smaller facilities than steel making, with only 26 percent of
facilities in the segment employing 100 or more employees in 1992. While the majority of facilities in the Steel
Products segment had fewer than 100 employees, most of the output from this segment was produced at the
largest facilities. Figure B2D-6 shows that Steel Products facilities with more than 100 employees accounted for
approximately 74 percent of the industry's 1992 value of shipments.
B2D-17
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Figure B2D-6: Number of Facilities and Value of Shipments in 1992" by Employment Size Category for
the Profiled Steel Industry Segments
Number of Facilities
250 -,
200-
150-
100-
50
] Steel Mills (SIC 3312)
| Steel Products (SIC
3315,3316,3317)
CLCL
1-9 10-19 20-49 50-99 100-249 250-499 500-999 1000- 2500+
2499
Value of Shipments (in millions)
$20,000-,
$18,000-
$16,000-
$14,000-
$12,000-
$10,000-
$8,000-
$6,000-
$4,000-
$2,000-
| Steel Mills (SIC 3312)
| Steel Products (SIC 3315,
3316,3317)
1-9 10-19 20-49 50-99 100-249 250-499 500-999 1,000- 2500+
2,499
a The 1992 Census of Manufactures is the most recent data available by SIC code and facility employment size.
Source: U.S. DOC, 1987, 1992, and 1997.
B2D-18
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
B2D-3.3 Firm Size
For both Steel Mills and Steel Products, the Small Business Administration defines a small firm as having 1,000
or fewer employees. The size categories reported in the Statistics of U.S. Businesses (SUSB) do not correspond
with the SBA size classifications, therefore preventing precise use of the SBA size threshold in conjunction with
SUSB data. Table B2D-8 below shows the distribution of firms, facilities, and receipts by the employment size of
the parent firm. The SUSB data presented in Table B2D-8 show that in 2001, 1,172 of 1,254 firms in the Steel
Mills segment had less than 500 employees. Therefore, at least 93 percent of firms in this segment were classified
as small. These small firms owned 1,179 facilities, or 87 percent of all facilities in the segment.
Of the 81 Ifirms with facilities that manufacture Steel Products, 706, or 87 percent, employ fewer than 500
employees, and are therefore considered small businesses. Small firms own 74 percent of facilities in the
industry.
Table B2D-8: Number of Firms, Facilities, and Estimated Receipts in the
Profiled Steel Industry Segments by Employment Size Category, 2001
Employment
Size Category
0-19
20-99
100-499
500+
Total
Steel
Number of
Firms
959
154
58
82
1,254
Mills
Number of
Facilities
959
154
66
173
1,352
Steel
Number of
Firms
438
162
106
105
811
Products
Number of
Facilities
438
175
149
266
1,028
Source: U.S. SBA, 2001.
B2D-3.4 Concentration Ratios
Concentration is the degree to which industry output is concentrated in a few large firms. Concentration is
closely related to entry barriers with more concentrated industries generally having higher barriers.
The four-firm concentration ratio (CR4) and the Herfindahl-Hirschman Index (HHI) are common
measures of industry concentration. The CR4 indicates the market share of the four largest firms. For example, a
CR4 of 72 percent means that the four largest firms in the industry account for 72 percent of the industry's total
value of shipments. The higher the concentration ratio, the less competition there is in the industry, other things
being equal6. An industry with a CR4 of more than 50 percent is generally considered concentrated. The HHI
indicates concentration based on the largest 50 firms in the industry. It is equal to the sum of the squares of the
market shares for the largest 50 firms in the industry. For example, if an industry consists of only three firms with
market shares of 60, 30, and 10 percent, respectively, the HHI of this industry would be equal to 4,600 (602 + 302
+ 102). The higher the index, the fewer the number of firms supplying the industry and the more concentrated the
industry. Based on the U.S. Department of Justice's guidelines for evaluating mergers, markets in which the HHI
is under 1000 are considered unconcentrated, markets in which the HHI is between 1000 and 1800 are considered
to be moderately concentrated, and those in which the HHI is in excess of 1800 are considered to be concentrated.
6 Note that the measured concentration ratio and the HHF are very sensitive to how the industry is defined. An industry with a high
concentration in domestic production may nonetheless be subject to significant competitive pressures if it competes with foreign producers
or if it competes with products produced by other industries (e.g., plastics vs. aluminum in beverage containers). Concentration ratios
based on share of production are therefore only one indicator of the extent of competition in an industry.
B2D-19
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Table B2D-9 shows that Steel Mills have an HHI of 511 and that Steel Products, comprised of SIC 3315, 3316,
and 3317, have HHIs of 201, 604, and 194, respectively. The Steel Mills and Steel Products segments are
considered competitive, based on standard measures of concentration. The CR4 and the HHI for the relevant SIC
codes are below the benchmarks of 50 percent and 1,000, respectively. Moreover, the table shows that each of the
industry segments became more competitive between 1987 and 1992. The relatively low concentration values
suggest that this factor would not contribute to the industry's ability to pass through compliance costs as price
increases to customers.
Table B2D-9: Selected Ratios
SIC Code
Year
Total
Number of
Firms
4 Firm
(CR4)
for the Profiled
8 Firm
(CR8)
Steel Industry
Segments
Concentration Ratios
20 Firm 50 Firm
(CR20) (CR50)
Herfindahl-
Hirschman Index
Steel Mills
3312
1987
1992
271
135
44%
37%
63%
58%
81%
81%
94%
96%
607
551
Steel Products
3315
3316
3317
1987
1992
1987
1992
1987
1992
274
271
156
158
155
166
21%
19%
45%
43%
23%
19%
34%
32%
62%
60%
34%
31%
54%
54%
82%
81%
58%
53%
78%
80%
95%
96%
85%
80%
212
201
654
604
242
194
a The 1992 Census of Manufactures is the most recent concentration ratio data available by SIC code.
Source: U.S. DOC, 1987, 1992, 1997.
B2D-20
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2D: Steel
B2D-3.5 Foreign Trade
This profile uses two measures of foreign competition: export dependence and import penetration.
Import penetration measures the extent to which domestic firms are exposed to foreign competition in domestic
markets. Import penetration is calculated as total imports divided by total value of domestic consumption in that
industry: where domestic consumption equals domestic production plus imports minus exports. Theory suggests
that higher import penetration levels will reduce market power and pricing discretion because foreign competition
limits domestic firms' ability to exercise such power. Firms belonging to segments in which imports account for
a relatively large share of domestic sales would therefore be at a relative disadvantage in their ability to pass-
through costs because foreign producers would not incur costs as a result of the Phase III regulation. The
estimated import penetration ratio for the entire U.S. manufacturing sector (NAICS 31-33) for 2001 is 22 percent.
For characterizing the ability of industries to withstand compliance cost burdens, EPA judges that industries with
import ratios close to or above 22 percent would more likely face stiff competition from foreign firms and thus be
less likely to succeed in passing compliance costs through to customers.
Export dependence, calculated as exports divided by value of shipments, measures the share of a segment's sales
that is presumed subject to strong foreign competition in export markets. The Phase III regulation would not
increase the production costs of foreign producers with whom domestic firms must compete in export markets.
As a result, firms in industries that rely to a greater extent on export sales would have less latitude in increasing
prices to recover cost increases resulting from regulation-induced increases in production costs. The estimated
export dependence ratio for the entire U.S. manufacturing sector for 2001 is 15 percent. For characterizing the
ability of industries to withstand compliance cost burdens, EPA judges that industries with export ratios close to
or above 15 percent are at a relatively greater disadvantage in potentially recovering compliance costs through
price increases since export sales are presumed subject to substantial competition from foreign producers.
The global market for steel continues to be extremely competitive. From 1945 until 1960, the U.S. steel industry
enjoyed a period of tremendous prosperity and was a net exporter until 1959. However, by the early 1960s,
foreign steel industries had thoroughly recovered from World War II and had begun construction of new plants
that were more advanced and efficient than the U.S. integrated steel mills. Foreign producers also enjoyed lower
labor costs, allowing them to take substantial market share from U.S. producers. This increased competition from
foreign producers, combined with decreased consumption in some key end use markets, served as a catalyst for
the restructuring and downsizing of the U.S. steel industry. The industry emerged from this restructuring
considerably smaller, more technologically advanced and internationally competitive (S&P, 2001).
Table B2D-10 presents trade statistics for the profiled steel industry segments from 1990 to 2001. The table
shows that while the trend in export dependence has been relatively stable, import penetration has increased from
the early 1990s until 1998 and has since dropped. The drop after 1998 results from the trade protection measures
mentioned above. Historically, the U.S. steel industry has exported a relatively small share of shipments
compared to the steel industries of other developed nations (McGraw-Hill, 2000). U.S. exports rose in 1995 to
the highest level since 1941, and remained relatively high through 2001. Imports penetration rose to 21 percent in
1998, after hovering around 15 percent in the early 1990s. This increase in imports reflected excess steel capacity
worldwide and the competitiveness of foreign steel producers, as described previously. Canada received the
largest amount of U.S. exported steel in 2003, followed by Mexico. Imports of steel mill products increased 8.4
percent from 2001 to 2002. Brazil, Canada, the EU, Japan, the Republic of Korea, Mexico, Russia, and Turkey
were major sources of steel mill product imports (USGS, 2002).
The steel industry's import penetration ratio was 19 percent in 2001, implying that the industry currently faces
moderate competition from foreign firms in setting prices for U.S. sales. However, as noted above, the removal of
temporary import restrictions will leave the industry more exposed to competition from foreign producers. The
steel industry's export dependence ratio in 2001 was eight percent, therefore the industry will not likely be
affected by competitive pressures from abroad in export sales. This finding implies that the steel industry is not
characterized by competitive pressures from foreign firms/markets and thus market power and cost pass through
potential are not diminished by export penetration. However, it is questionable that firms in an industry will have
a comparatively high cost pass-through potential simply because firms in that industry are not active in export
B2D-21
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
markets. From the standpoint of firms gaining market power, EPA believes that the finding of low export
dependence diminishes the importance of export competition as indicator of market power. Thus, other indicators
must be relied upon to gauge the amount of market power firms in the steel industry are expected to hold. On
balance, the U.S. steel industry is subject to significant international competitive pressure, largely manifesting
though the penetration of foreign product into domestic markets. Although the U.S. industry's competitiveness
against foreign producers improved in recent years, the industry remains substantially vulnerable to foreign
competition, indicating a low likelihood that steel industry producers subject to the 316(b) regulation would be
able to pass a material share of compliance costs through to customers.
Table B2D-10: Import
Year
B2989
1990
1991
1992
1993
1994
1995
1996
1997
1997de
1998de
1999de
2000de
2001de
Total Percent Change
1989-2001
Average Annual
Growth Rate
Value of
Imports
(millions,
$2003)
12,440
11,158
10,204
10,169
10,884
15,419
14,529
15,338
16,224
16,436
19,683
15,241
17,415
13,240
18.7%
1.4%
Penetration
Value of
Exports
(millions,
$2003)
3,864
3,701
4,729
3,815
3,496
3,675
5,506
4,812
5,603
5,754
5,416
4,946
5,544
5,181
40.0%
2.8%
and Export Dependence: Steel
Value of
Shipments
(millions,
$2003)
84,803
78,913
69,041
69,936
73,280
80,479
84,557
82,446
83,830
83,830
81,744
74,877
73,771
61,996
-21.4%
-2.0%
Implied
Domestic
Consumption3
93,379
86,370
74,516
76,290
80,668
92,223
93,580
92,972
94,451
94,512
96,011
85,172
85,642
70,055
-18.9%
-1.7%
Mill Products
Import
Penetration1"
13.3%
12.9%
13.7%
13.3%
13.5%
16.7%
15.5%
16.5%
17.2%
17.4%
20.5%
17.9%
20.3%
18.9%
Export
Dependence
4.6%
4.7%
6.9%
5.5%
4.8%
4.6%
6.5%
5.8%
6.7%
6.9%
6.6%
6.6%
7.5%
8.4%
a Calculated by EPA as shipments + imports - exports.
b Calculated by EPA as imports divided by implied domestic consumption.
c Calculated by EPA as exports divided by shipments.
d Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
e As Census Trade data are not available before 1997, export and import values are taken from the International Trade Administration
for years 1989-1997.
Source: ASM 199 7-2001: IT A 1989-199 7
B2D-22
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2D: Steel
B2D-4 FINANCIAL CONDITION AND PERFORMANCE
The financial performance and condition of the steel industry are important determinants of its ability to withstand
the costs of regulatory compliance without material adverse economic/financial impact. To provide insight into
the industry's financial performance and condition, EPA reviewed two key measures of financial performance
over the 12-year period, 1992-2003: net profit margin and return on total capital. EPA calculated these measures
as a revenue-weighted index of measure values for public reporting firms in the respective industries, using data
from the Value Line Investment Survey. Financial performance in the most recent financial reporting period
(2003) is obviously not a perfect indicator of conditions at the time of regulatory compliance. However,
examining the trend, and deviation from the trend, through the most recent reporting period gives insight into
where the industry may be, in terms of financial performance and condition, at the time of compliance. In
addition, the volatility of performance against the trend, in itself, provides a measure of the potential risk faced by
the industry in a future period in which compliance requirements are faced: all else equal, the more volatile the
historical performance, the more likely the industry may be in a period of relatively weak financial conditions at
the time of compliance.
Net profit margin is calculated as after-tax income before nonrecurring gains and losses as a percentage of sales
or revenue, and measures profitability, as reflected in the conventional accounting concept of net income. Over
time, the firms in an industry, and the industry collectively, must generate a sufficient positive profit margin if the
industry is to remain economically viable and attract capital. Year-to-year fluctuations in profit margin stem from
a several factors, including: variations in aggregate economic conditions (including international and U.S.
conditions), variations in industry-specific market conditions (e.g., short-term capacity expansion resulting in
overcapacity), or changes in the pricing and availability of inputs to the industry's production processes (e.g., the
cost of energy to the steel production process). The extent to which these fluctuations affect an industry's
profitability, in turn, depends heavily on the fixed vs. variable cost structure of the industry's operations. In a
capital intensive industry such as the steel industry, the relatively high fixed capital costs as well as other fixed
overhead outlays, can cause even small fluctuations in output or prices to have a large positive or negative affect
on profit margin.
Return on total capital is calculated as annual net profit, plus one-half of annual long-term interest, divided by
the total of shareholders' equity and long-term debt (total capital). This concept measures the total productivity of
the capital deployed by a firm or industry, regardless of the financial source of the capital (i.e., equity, debt, or
liability element). As such, the return on total capital provides insight into the profitability of a business' assets
independent of financial structure and is thus a "purer" indicator of asset profitability than return on equity. In the
same way as described for net profit margin, the firms in an industry, and the industry collectively, must generate
over time a sufficient return on capital if the industry is to remain economically viable and attract capital. The
factors causing short-term variation in net profit margin will also be the primary sources of short-term variation in
return on total capital.
Figure B2D-7 presents trends in net profit margins and return on total capital for the steel industry between 1992
and 2003. The graph shows considerable volatility in the trend over this period. After registering improvement in
financial performance in the first half of the 1990s, steel industry financial performance declined markedly from
1997/1998 forward to 2003, due first to increasing imports and later to general economic weakness. Measures of
financial performance increased in 2002 when the U.S. steel industry received temporary relief with tariffs
ranging up to 30 percent on certain steel imports. In 2003, however, the integrated steel industry had poor
operating results, as high raw material costs outweighed increased sales and higher volumes.
B2D-23
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
Figure B2D-7: Net Profit Margin and Return on Total Capital for the Iron and Steel Industry
i^n/
19%
8%
/IP/.
n%
/ \ /\
/ v \
/ \
/ \
/ /* "*~ "^^x^ ^V
7Z A^X
\/ >
V
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
—k — Net Profit Margin - Iron
and Steel Industry
— • — Return on Total Capital -
Iron and Steel Industry
Source: Value Line, 1992-2003.
B2D-5 FACILITIES OPERATING COOLING WATER INTAKE STRUCTURES
Section 316(b) of the Clean Water Act applies to point source facilities which use or propose to use a cooling
water intake structure that withdraws cooling water directly from a surface waterbody of the United States. In
1982, the Primary Metals industries as a whole (including Nonferrous and Steel producers) withdrew 1,312
billion gallons of cooling water, accounting for approximately 1.7 percent of total industrial cooling water intake
in the United States7. The industry ranked 3rd in industrial cooling water use, behind the electric power generation
industry, and the chemical industry (1982 Census of Manufactures).
This section provides information for facilities in the profiled steel segments potentially subject to the proposed
regulation. Existing facilities that meet all of the following conditions are potentially subject to the proposed
regulation:8
*• Use a cooling water intake structure or structures, or obtain cooling water by any sort of contract or
arrangement with an independent supplier who has a cooling water intake structure; or their cooling water
intake structure(s) withdraw(s) cooling water from waters of the U.S., and at least twenty-five (25)
percent of the water withdrawn is used for contact or non-contact cooling purposes;
*• Have an National Pollutant Discharge Elimination System (NPDES) permit or are required to obtain one;
and
*• Have a design intake flow of greater than 2 million gallons per day (MOD).
The proposed regulation also covers substantial additions or modifications to operations undertaken at such
facilities. While all facilities that meet these criteria are subject to the regulation, this section focuses on the 66
7 Data on cooling water use are from the 1982 Census of Manufactures. 1982 was the last year in which the Census of Manufactures
reported cooling water use.
8 The proposed Phase III regulation also applies to existing electric generating facilities as well as certain facilities in the oil and gas
extraction industry and the seafood processing industry. See Chapters B4 and B5 and Part C of this document for more information on
these industries.
B2D-24
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
facilities nation-wide in the profiled steel segments identified in EPA's 2000 Section 316(b) Industry Survey as
being potentially subject to this proposed regulation9. Information collected in the Detailed Industry
Questionnaire found that an estimated 46 out of 161 Steel Mills (29 percent) and 21 out of 309 Steel Product
manufacturers (7 percent) meet the characteristics of a potential Phase III facility.
B2D-5.1 Waterbody and Cooling System Type
Minimills use electric-arc-furnace (EAF) to make steel from ferrous scrap. The electric-arc-furnace is extensively
cooled by water and recycled through cooling towers (U.S. EPA, 1995). This is important to note since most new
steel facilities are minimills.
Table B2D-11 shows the distribution of potential Phase III facilities in the profiled steel segments by type of
water body and cooling system. The table shows that most of the potential Phase III facilities employ a
combination of a once-through and recirculating system (23, or 35%) or a once through system (22, or 33%). The
largest proportion of existing facilities draw water from a freshwater stream or river (52, or 79%).
Table B2D-11: Number of Potential Phase III Facilities in the Profiled Steel Industry Segments
by Water Body Type and Cooling System Type
Cooling Systems
Water Body Type
Recirculating
Numbe % of
r Total
Combination
Numbe % of
r Total
Once-Through
Numbe % of
r Total
Other
Numbe % of
r Total
Total
Steel Mills
Freshwater Stream/ River
Great Lake
Tola?
5 16%
0 0%
5 11%
9 28%
10 77%
19 41%
1 1 34%
3 23%
14 30%
8 25%
0 0%
8 17%
32
13
46
Steel Products
Freshwater Stream/ River
Lake/ Reservoir
TotaV
10 50%
0 0%
10 48%
3 15%
0 0%
3 14%
1 35%
1 100%
8 38%
0 0%
0 0%
0 0%
20
1
21
Total for Profiled Steel Industry
Freshwater Stream/ River
Great Lake
Lake/ Reservoir
TataF
15 29%
0 0%
0 0%
75 23%
12 23%
10 77%
0 0%
23 35%
18 35%
3 23%
1 100%
22 33%
8 15%
0 0%
0 0%
8 12%
52
13
1
66
a Individual numbers may not add up to total due to independent rounding.
Source: U.S. EPA, 2000.
9 EPA applied sample weights to the sampled facilities to account for non-sampled facilities and facilities that did not respond to the
survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer to the Information Collection Request (U.S.
EPA, 2000).
B2D-25
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
B2D-5.2 Facility Size
Section 316(b) sample Steel Mills and Steel Products facilities are larger than facilities in their industries as a
whole, as reported in the Census and discussed previously:
*• Sixty-four percent of all facilities in the steel segment had fewer than 100 employees in 1992; none of the
potential Phase III facilities in that segment fall into that employment category.
Figure B2D-8 shows the number of potential Phase III facilities by employment size category.
Figure B2D-8: Number of Potential Phase III Facilities in the Profiled Steel Industry Segments
by Employment Size
25-
20-
15-
10-
5-
] Steel Mills (SIC 3312)
] Steel Products (SIC
3315,3316,3317)
<100
100-249 250-499 500-999 >=1000
Source: U.S. EPA, 2000.
B2D-26
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2D: Steel
B2D-5.3 Firm Size
EPA used the Small Business Administration (SBA) small entity size standards to determine the number of
existing Section 316(b) profiled steel industry facilities owned by small firms. Firms in the Steel Mills and Steel
Products segments are defined as small if they have 1000 or fewer employees. Table B2D-12 shows that 7 of the
46 Section 316(b) Steel Mills, or 15 percent, are owned by small firms, while 6 (or 30 percent) of the Section
316(b) Steel Product facilities are owned by small firms. Overall, 53 facilities (80 percent) are owned by large
firms, and 13 facilities (20 percent) are owned by small firms.
Table B2D-12: Number of Potential Phase III Facilities by Firm Size for the Profiled Steel
Segments
SIC Code
Large
Number % of SIC
Small
Number % of SIC
Total
Steel Mills
3312
39 85%
7 15%
46
Steel Products
3315
3316
3317
Totalt
3
7
5
15
50%
69%
100%
73%
3
3
0
6
50%
31%
0%
30%
7
10
5
21
Total for Profiled Steel Facilities
a Individual numbers may not add up to total due to independent rounding.
Source: U.S. EPA, 2000; U.S. SBA, 2000; D&B, 2001.
Total3
53
80%
13
20%
66
B2D-27
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2D: Steel
REFERENCES
American Iron and Steel Institute (AISI). 2001a. "Imports Continue at Severely Depressed Prices; United U.S.
Steel Industry Urges Effective 201 Trade Remedy." September 25, 2001.
American Iron and Steel Institute (AISI). 200 Ib. July 2001 Selected Steel Industry Data.
American Iron and Steel Institute (AISI). 2001c. "Shipments Down 10 Percent Through August 2001." October
12,2001.
Bureau of Labor Statistics (BLS). 2002. Producer Price Index. Series: PCU33 #-Primary Metal Industries.
Dun and Bradstreet (D&B). 2001. Data extracted from D&B Webspectrum August 2001.
Executive Office of the President. 1987. Office of Management and Budget. Standard Industrial Classification
Manual.
Federal Reserve Board. 2004. Industrial Production and Capacity Utilization. Data extracted May 11,2004.
McGraw-Hill and U.S. Department of Commerce, International Trade Administration. 2000.
U.S. Industry & Trade Outlook '00.
McGraw-Hill and U.S. Department of Commerce, International Trade Administration. 1998.
U.S. Industry & Trade Outlook '98.
Standard & Poors (S&P). 2004. Sub-Industry Outlook: Steel. February 21, 2004.
Standard & Poors (S&P). 2001. Industry Surveys -Metals: Industrial. July 12, 2001.
U.S. Department of Commerce (U.S. DOC). 2000. International Trade Administration. Report to the President:
Global Steel Trade-Structural Problems and Future Solutions. July, 2000.
U.S. Department of Commerce (U.S. DOC). 1997. Bureau of the Census. Bridge Between NAICS and SIC.
U.S. Department of Commerce (U.S. DOC). 1989-2002. Bureau of the Census. Current Industrial Reports.
Survey of Plant Capacity.
U.S. Department of Commerce (U.S. DOC). 1988-1991, 1993-1996, and 1998-2001. Bureau of the Census.
Annual Survey of Manufactures.
U.S. Department of Commerce (U.S. DOC). 1987, 1992, and 1997. Bureau of the Census. Census of
Manufactures.
U.S. Department of Energy (U.S. DOE). 1998. Energy Information Administration. MECS (Manufacturing
Energy Consumption Survey) Industry Analysis Briefs-Steel.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Detailed Industry Questionnaire: Phase II Cooling
Water Intake Structures.
U.S. Environmental Protection Agency (U.S. EPA). 1995. Profile of the Iron and Steel Industry. EPA310-R-
95-005. September, 1995.
United States Geological Survey (USGS). Historical Statistics for Mineral Commodities in the United States.
Iron and Steel.
B2D-28
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2D: Steel
United States Geological Survey (USGS). Iron and Steel Statistical Compendium.
United States Geological Survey (USGS). 2002. Minerals Yearbook. Iron and Steel. Author: Michael D.
Fenton.
United States Geological Survey (USGS). 1999. Minerals Yearbook. Iron and Steel. Author: Michael D.
Fenton.
United States Geological Survey (USGS). 1994. Minerals Yearbook. Iron and Steel. Author: Michael D.
Fenton.
United States Geological Survey (USGS). 2004. Mineral Commodity Summaries. Iron and Steel. Author:
Michael D. Fenton.
United States Geological Survey (USGS). 2001. Mineral Commodity Summaries. Iron and Steel. Author:
Michael D. Fenton.
United States Geological Survey (USGS). 1997. Mineral Commodity Summaries. Iron and Steel. Author:
Michael D. Fenton.
U.S. Small Business Administration. 1989-2001. Statistics of U.S. Businesses.
U.S. Small Business Administration (U.S. SBA). 2000. Small Business Size Standards. 13 CFR section 121.201.
Value Line. 1992-2003. Value Line Investment Survey.
Value Line. 2001. Metals & Mining (Diversified) Industry. July 27, 2001.
Value Line. 2003a. Metal Fabricating Industry. March 28, 2003.
Value Line. 2003b. Metals & Mining (Diversified) Industry. April 25, 2003.
B2D-29
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Chapter B2E: Aluminum (SIC 333/5)
EPA's Detailed Industry Questionnaire,
hereafter referred to as the DQ, identified two 4-
digit SIC codes in the nonferrous metals
industries (SIC codes 333/335) with at least one
existing facility that operates a CWIS, holds a
NPDES permit, withdraws equal to or greater
than two million gallons per day (MGD) from a
water of the United States, and uses at least 25
percent of its intake flow for cooling purposes
(facilities with these characteristics are hereafter
referred to as facilities potentially subject to the
Phase III regulation or "potential Phase III
facilities").
For each of the two SIC codes, Table B2E-1
below provides a description of the industry
segment, a list of products manufactured, the
total number of detailed questionnaire
respondents (weighted to represent national
results), and the number and percent of potential
Phase III facilities within the estimated national
total of facilities in the respective industry SIC
code groups.
CHAPTER CONTENTS
B2E-1 Summary Insights from this Profile B2E-2
B2E-2 Domestic Production B2E-3
B2E-2.1 Output B2E-4
B2E-2.2 Prices B2E-7
B2E-2.3 Number of Facilities and Firms B2E-8
B2E-2.4 Employment and Productivity B2E-12
B2E-2.5 Capital Expenditures B2E-14
B2E-2.6 Capacity Utilization B2E-16
B2E-3 Structure and Competitiveness B2E-17
B2E-3.1 Geographic Distribution B2E-17
B2E-3.2 Facility Size B2E-18
B2E-3.3 Firm Size B2E-20
B2E-3.4 Concentration Ratios B2E-20
B2E-3.5 Foreign Trade B2E-21
B2E-4 Financial Condition and Performance B2E-24
B2E-5 Facilities Operating Cooling Water Intake
Structures B2E-26
B2E-5.1 Waterbody and Cooling System Type . . . B2E-27
B2E-5.2 Facility Size B2E-28
B2E-5.3 Firm Size B2E-29
References B2E-30
Table B2E-1: Potential Phase III facilities in the Aluminum Industries (SIC 333/335)
SIC SIC Description
Primary Production
of Aluminum
,,., Aluminum Sheet,
Plate, and Foil
Important Products Manufactured
Producing aluminum from alumina and in refining
aluminum by any process
Flat rolling aluminum and aluminum-base alloy basic
shapes, such as rod and bar, pipe and tube, and tube
blooms; producing tube by drawing
Total
Number of Facilities3
_ Potential Phase 0/
T°tal IH facilities" /0
31 11
57 10
88 21
35.5%
17.5%
24.0%
a Number of weighted detailed questionnaire survey respondents.
b Individual numbers may not add up due to independent rounding.
Source: U.S. EPA, 2000; Executive Office of the President, 1987.
As reported in the table, EPA estimates that 21 out of 88 facilities (or 24 percent) in the Aluminum Industries
(SIC 333/335) are potentially subject to this proposed regulation. EPA also estimated the percentage of total
production that occurs at facilities potentially subject to the proposed regulation. Total value of shipments for the
Aluminum Industries (SIC 333/335) from the 1998 Annual Survey of Manufacturers is $19.3 billion. Value of
shipments, a measure of the dollar value of production, was selected for the basis of this estimate. Because value
of shipments data were not collected using the DQ, these data were not available for the sample of Phase III
manufacturing facilities potentially subject to the proposed regulation. Total revenue, as reported on the DQ, was
B2E-1
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
used as a close approximation for value of shipments for these facilities. EPA estimated the total revenue of
facilities in the aluminum industry subject to the proposed regulation is $12.1 billion. Therefore, EPA estimates
that 63 percent of total domestic aluminum production occurs at facilities potentially subject to the proposed
regulation.
Table B2E-2 provides the cross-walk between SIC codes and the new NAICS codes for the profiled aluminum
SIC codes. The table shows that both of the profiled 4-digit SIC codes in the aluminum industry have a one-to-
one relationship to NAICS codes.
Table B2E-2: Relationships between SIC and NAICS Codes for the Aluminum Industries (1997)
SIC
Code
3334
3353
SIC Description
Primary aluminum
Aluminum sheet,
plate, and foil
NAICS
Code
331312
331315
NAICS Description
Primary aluminum
production
Aluminum sheet, plate, and
foil manufacturing
Number of
Establishments
235
70
Value of
Shipments
($1000)
7,565,377
13,755,566
Employment
15,763
25,111
Source: U.S. DOC, 1997.
B2E-1 SUMMARY INSIGHTS FROM THIS PROFILE
A key purpose of this profile is to provide insight into the ability of aluminum industry firms subject to the 316(b)
regulation to absorb compliance costs without material adverse economic/financial effects. Two important factors
in the industry's ability to withstand compliance costs are: (1) the extent to which the industry can shift
compliance costs to its customers through price increases, and (2) the financial health of the industry and its
general business outlook.
Likely Ability to Pass Compliance Costs Through to Customers
As reported in the following sections of this profile, the aluminum industry is moderately concentrated. This
potentially supports firms in this industry passing through to customers a significant portion of their compliance-
related costs. However, the domestic Primary Aluminum Production segment faces significant competition from
imports into the U.S. market. Facilities in the Aluminum Sheet, Plate, and Foil segment have a notable reliance
on foreign markets. The substantial competitive pressure from abroad weakens the potential of firms in this
industry to pass through to customers a significant portion of their compliance-related costs. As discussed above,
the proportion of total value of shipments in the industry potentially subject to the proposed regulation is 63
percent. The actual proportion of total value of shipments subject to regulation-induced compliance costs would
be smaller since not all of the facilities would be subject to the national categorical requirements of the proposed
regulation: that is, facilities below the proposed design intake flow (DIP) would be subject to permitting based on
best professional judgement (BPJ) rather than based on national standards, and several facilities currently employ
baseline technologies that meet the requirements of the proposed regulation. Given the likelihood that these
percentages represent upper bound estimates, EPA believes that the theoretical threshold for justifying the use of
industry-wide CPT rates in the impact analysis of existing Phase III aluminum facilities has not been met. For
these reasons, in its analysis of regulatory impacts for the aluminum industry, EPA assumes that complying firms
would be unable to pass compliance costs through to customers: i.e., complying facilities must absorb all
compliance costs within their financial condition at the time of compliance (see following sections and Appendix
3 to Chapter B3: Economic Impact Analysis for Manufacturers for further information).
Financial Health and General Business Outlook
Over the past decade, the aluminum industry, like other U.S. manufacturing industries, has experienced a range of
economic/financial conditions, including substantial challenges. In the early 1990s, the domestic aluminum
B2E-2
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2E: Aluminum
industry was adversely affected by reduced U.S. demand and the dissolution of the Soviet Union, resulting in
large increases in Russian aluminum exports. Although domestic market conditions improved by mid-decade,
weakness in Asian markets, along with growing Russian exports, dampened performance during the latter half of
the 1990s. Demand for aluminum industry products declined again in 2000 through 2002, reflecting weakness in
both the U.S. and world economies, and again resulted in oversupply and declining financial performance. More
recently, as the U.S. economy began recovering from economic weakness, the domestic aluminum industry is
showing signs of recovery with higher demand levels and improving financial performance over the course of
2003. Although the industry has weathered difficult periods over the past few years, the strengthening of the
industry's financial condition and general business outlook suggest improved ability to withstand additional
regulatory compliance costs without imposing significant financial impacts.
B2E-2 DOMESTIC PRODUCTION
Commercial production of aluminum using the electrolytic reduction process, known as the Hall-Heroult process,
began in the late 1800s. The production of primary aluminum involves mining bauxite ore and refining it into
alumina, one of the feedstocks for aluminum metal. Direct electric current is used to split the alumina into molten
aluminum metal and carbon dioxide. The molten aluminum metal is then collected and cast into ingots.
Technological improvements over the years have improved the efficiency of aluminum smelting, with a particular
emphasis on reducing energy requirements. Currently, no commercially viable alternative exists to the
electrometallurgical process (Aluminum Association, 2001).
In 2003, aluminum recovered from purchased scrap was about 2.8 million tons, of which about 60% came from
new (manufacturing) scrap and 40% from old scrap (discarded aluminum products). Aluminum recovered from
old scrap was equivalent to about 17% of apparent consumption (USGS, 2004a). Recycling consists of melting
used beverage cans and scrap generated from operations. Recycling saves approximately 95 percent of the energy
costs involved in primary smelting from bauxite (S&P, 2001). In contrast to the steel industry, aluminum
minimills have had limited impact on the profitability of traditional integrated aluminum producers. Aluminum
minimills are not able to produce can sheet of the same quality as that produced by integrated facilities. As a
result, they are able to compete only in production of commodity sheet products for the building and distributor
markets, which are considered mature markets. According to Standard & Poor's (2001), construction of new
minimill capacity is unlikely given the potential that added capacity would drive down prices in the face of slow
growth in the markets for minimill products. No secondary smelters (included, along with secondary smelting of
other metals, in SIC code 3341) were reported in EPA's Detailed Industry Questionnaire. These facilities are
therefore not addressed in this profile.
Facilities in SIC code 3353 produce semifabricated products from primary or secondary aluminum. Examples of
semifabricated aluminum products include (Aluminum Association, undated):
*• sheet (cans, construction materials, and automotive parts);
*• plate (aircraft and spacecraft fuel tanks);
*• foil (household aluminum foil, building insulation, and automotive parts);
*• rod, bar, and wire (electrical transmission lines); and
*• extrusions (storm windows, bridge structures, and automotive parts).
U.S. aluminum companies are generally vertically integrated. The major aluminum companies own large bauxite
reserves, mine bauxite ore and refine it into alumina, produce aluminum ingot, and operate the rolling mills and
finishing plants used to produce semifabricated aluminum products (S&P, 2001).
As noted, the production of primary aluminum is an electrometallurgical process, which is extremely energy
intensive. Electricity accounts for approximately 30 percent of total production costs for primary aluminum
smelting. The aluminum industry is therefore a major industrial user of electricity, spending more than $2 billion
annually. The industry has pursued opportunities to reduce its use of electricity as a means of lowering costs. In
B2E-3
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2E: Aluminum
the last 50 years, the average amount of electricity needed to make a pound of aluminum has declined from 12
kilowatt hours to approximately 7 kilowatt hours. (Aluminum Association, undated).
B2E-2.1 Output
The largest single source of demand for aluminum is the transportation segment, primarily the manufacture of
motor vehicles. Demand for lighter, more fuel efficient vehicles has increased demand for aluminum in auto
manufacturing, at the expense of steel (S&P, 2001). Until 1996, containers were the largest U.S. market for
aluminum. Production of beverage cans is a major use of aluminum sheet, and aluminum has entirely replaced
steel in the beverage can market. Other major uses of aluminum include construction (including aluminum siding,
windows, and gutters) and consumer durables (USGS, 200la).
Demand for aluminum reflects the overall state of the domestic and world economies, as well as long-term trends
in materials use in major end-use sectors. Because aluminum production involves large fixed investments and
capacity adapts slowly to fluctuations in demand, the industry has experienced alternating periods of excess
capacity and tight supplies. The early 1980s was a period of oversupply, high inventories, and excess capacity.
By 1986, excess capacity was closed, inventories were low, and demand increased substantially. The early 1990s
were affected by reduced U.S. demand and the dissolution of the Soviet Union, resulting in large increases in
Russian exports of aluminum. By the mid-1990s, global production declined, demand rebounded, and aluminum
prices rose. Subsequent increased production reflected an overall increase in the demand for aluminum with
stronger domestic economic growth, driven by increased consumption by the transportation, container, and
construction segments. The economic crises in Asian markets in the later 1990s, along with growing Russian
exports, again resulted in a period of oversupply, although U.S. demand for aluminum remained strong. Demand
declined again in 2000 through 2002 due to slower growth in both the U.S. and the world economy, resulting in
oversupply. The surplus was mitigated somewhat as demand in the automotive and housing markets remained
relatively high through mid-2003. In addition, the California energy crisis in 2000 and 2001 reduced production
from primary smelters located in the Pacific Northwest (Aluminum Association, 1999; USGS, 1999c; USGS,
1998e; USGS, 1994c; Value Line, 2001). Production in China increased during this period, and although
increased Chinese consumption helped reduce the surplus slightly, the country switched from being a net importer
to a net exporter. Additionally, interest rates are likely to increase which may decrease U.S. demand for
aluminum from major industrial end markets (aerospace, automotive, home-construction, and commercial-
construction). However, with the economy showing signs of recovery the aluminum industry saw higher demand
levels in 2003. If the economy remains strong, demand is expected to continue at 2003 levels (Value Line, 2003;
S&P 2004).
Table B2E-3 shows trends in output of aluminum by Primary Aluminum producers and recovery of aluminum
from old and new scrap. Secondary production grew from 37 percent to over half of total domestic production
over the period from 1990 to 2003. Of total secondary production in 2003, 1,170 thousand metric tons (MT) or
40 percent, is from old scrap (discarded aluminum products), as opposed to new scrap (from manufacturing).
Primary production of aluminum recorded a net decrease over the 13-year period, but declined sharply in 2001
compared to 2000. As noted above, this decrease reflects reduced domestic and world demand for aluminum, and
curtailed production at a number of Pacific Northwest mills caused by the California energy crisis (S&P 200 la;
USGS, 200 la). Production remained fairly constant for the final three years of the period.
B2E-4
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Table B2E-3: U.S. Quantities of Aluminum Produced
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
Total percent change
1990-2003
Average annual
growth rate
Aluminum Ingot
Primary Production
Thousand
MT
4,048
4,121
4,042
3,695
3,299
3,375
3,577
3,603
3,713
3,779
3,688
2,637
2,707
2,703
-33.2%
-3.1%
% Change
n/a
1.8%
-1.9%
-8.6%
-10.7%
2.3%
6.0%
0.7%
3.1%
1.8%
-2.4%
-28.5%
2.7%
-0.1%
Secondary Production
(from old & new scrap)
Thousand
MT
2,390
2,290
2,760
2,940
3,090
3,190
3,310
3,550
3,440
3,700
3,450
2,970
2,930
2,930
22.6%
1.6%
% Change
n/a
-4.2%
20.5%
6.5%
5.1%
3.2%
3.8%
7.3%
-3.1%
7.6%
-6.8%
-13.9%
-1.3%
0.0%
Total Production
Thousand
MT
6,438
6,411
6,802
6,635
6,389
6,565
6,887
7,153
7,153
7,479
7,138
5,607
5,637
5,633
-12.5%
-1.0%
% Change
n/a
-0.4%
6.1%
-2.5%
-3.7%
2.8%
4.9%
3.9%
0.0%
4.6%
-4.6%
-21.4%
0.5%
-0.1%
Source: USGS, 2001b-2003b; USGS 1996a-2004a; USGS 2002d
Value of shipments and value added are two common measures of manufacturing output1. They provide insight
into the overall economic health and outlook for an industry. Value of shipments is the sum of the receipts a
manufacturer earns from the sale of its outputs; it indicates the overall size of a market or the size of a firm in
relation to its market or competitors. Value added measures the value of production activity in a particular
industry. It is the difference between the value of shipments and the value of inputs used to make the products
sold.
Figure B2E-1 reports constant dollar value of shipments and value added for the Primary Aluminum, and
Aluminum Sheet, Plate, and Foil segments between 1987 and 2001.
1 Terms highlighted in bold and italic font are further explained in the glossary.
B2E-5
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Figure B2E-1: Value of Shipments and Value Added for Profiled Aluminum Segments
(millions,$2003)
Value of Shipments
18 000 -i
16 000 ^~~-L*
1° 000 ' ^*^-^^^ *"A
10 000 / ^^
0 QQQ / ^^
^ nnn ^ — "^^ ^ *•-$-- --4.
4 000
0 QQQ
0
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
— t— \Q3-Primary AlurrinumProduction
(SIC 3334)
-••*--• \Q3-Primary AlurrinumProduction
(Estimated fiomNAICS)
— A — \Q3-Alurrinum Sheet, Pkte, and
Foil (SIC 3353)
Foil (Estimated fiomNAICS)
Value Added
1 600
1,400
1000 • t • t "" "A
gOO 4r^ * * * • t
400
°00
o
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
— •—— \A-Primary Aluminum
Production (SIC 3334)
---#--- \A-Primary Aluminum
Production (NAICS to SIC 3334)
— A — \A-AlurrinumSheet, Pkte, and
Foil (SIC 3353)
- - -A- - - \A-AlurrinumSheet, Pkte, and
Foil (NAICS to SIC 3353)
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the
North American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the
SIC code classifications us' ing the 1 997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998-2001; U.S. DOC, 1987, 1992 and 1997.
The value of Primary Aluminum shipments shows generally the same pattern as the quantity data shown in Table
B2E-3. Trends in production reflect trends in demand for aluminum, growth since 1990 in the percentage of
domestic demand provided by imports, and increasing secondary production of aluminum, which substitutes in
some but not all markets for primary production. Value added by aluminum production excludes the value of
purchased materials and services (including electricity), and shows less fluctuation since 1990 than value of
shipments.
Demand for semifinished aluminum products reflects demand from the transportation, container, and building
industries. Real value of shipments of Aluminum Sheet, Plate, and Foil declined from the late 1980s through
1993, and then recovered by mid-decade, before turning down again in the late 1990s. Demand for semifinished
B2E-6
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2E: Aluminum
products has been affected by strong growth in both the container and packaging segment and the auto segment
(S&P,2001).
Both industry segments show lower values for the constant dollar value of shipments and value added at the end
of the 15-year analysis period than at the beginning of the period. These declining values reflect the overall
maturity of the aluminum production industry and the increasing role of foreign production in meeting total U.S.
demand.
B2E-2.2 Prices
The producer price index (PPI) measures price changes, by segment, from the perspective of the seller, and
indicates the overall trend of product pricing, and thus supply-demand conditions, within a segment.
The price trends shown for Primary Aluminum in Figure B2E-2 reflect the fluctuations in world supply and
demand discussed in the previous section. During the early 1980s, the aluminum industry experienced
oversupply, high inventories, excess capacity, and weak demand, resulting in falling prices for aluminum. By
1986, much of the excess capacity had been permanently closed, inventories had been worked down, and
worldwide demand for aluminum increased strongly. This resulted in price increases through 1988, as shown in
Figure B2E.2.
In the early 1990s, the dissolution of the Soviet Union had a major impact on aluminum markets. Large quantities
of Russian aluminum that formerly had been consumed internally, primarily in military applications, were sold in
world markets to generate hard currency. At the same time, world demand for aluminum was decreasing. The
result was increasing inventories and depressed aluminum prices.
The United States and five other primary aluminum producing nations signed an agreement in January 1994 to
curtail global output, in response to the sharp decline in aluminum prices. At the time of the agreement, there was
an estimated global overcapacity of 1.5 to 2.0 million metric tons per year (S&P, 2000).
By the mid-1990s, production cutbacks, increased demand, and declining inventories led to a sharp rebound of
prices. Prices declined again though during the late 1990s, when the economic crises in Asian markets reduced
the demand for aluminum (USGS, 200Ib). During 2000, prices rebounded sharply despite the continuing trend of
high Russian production and exports. However, economic recession caused prices to fall again through 2002.
Prices began to recover during 2003 and are expected to continue on an upward trend as the economy recovers.
(S&P, 2001-2004).
B2E-7
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Figure B2E-2: Producer Price Indexes for Profiled Aluminum Segments
- Primary Aluminum
Production (SIC 3334)
- Aluminum Sheet, Plate, and
Foil (SIC 3353)
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
Source: BLS, 2002.
B2E-2.3 Number of Facilities and Firms
U.S. Geological Survey data indicate that the number of Primary Aluminum facilities and the number of firms
that own them remained fairly constant over the period 1995 through 2001, as shown in Table B2E-4. The
number of domestic companies and plants sharply declined in 2002 compared to 2001. In 2002, the 10 domestic
producers had a total of 7 smelters that were either temporarily or permanently idled. The bulk of the idled
capacity resulted from curtailed production at a number of Pacific Northwest mills caused by the California
energy crisis. Most of the smelters outside of this region continued to operate at or near their engineered
capacities (S&P 2001; USGS, 200la; USGS, 2002c).
B2E-8
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Table B2E-4: Primary Aluminum Production - Number of Companies and
Plants
Year
1995
1996
1997
1998
1999
2000
2001
2002
2003
Number of Companies
13
13
13
13
12
12
12
7
7
Number of Plants
22
22
22
23
23
23
23
16
15
Source: USGS, 1996a-2004a.
Statistics of U.S. Businesses covers a larger number of facilities classified under SIC 3334 than do the USGS
data, and also provide data on SIC 3353 (Aluminum Sheet, Plate, and Foil). These data, shown in Table B2E-5
and B2E-6, show more fluctuation in the number of establishments and the number of firms.
Table B2E-5 shows that the number of Primary Aluminum facilities decreased by 30 percent between 1991 and
1995, with the majority of this decrease, 27 percent, occurring between 1991 and 1993. The number of facilities
in the Aluminum Sheet, Plate, and Foil segment showed a more consistent trend, increasing each year except in
1993. In 1998, the number of facilities decreased in both segments, but have continued to grow since then.
B2E-9
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Table B2E-5: Number of Facilities for Profiled Aluminum Segments
Year
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1998"
1999a
2000a
200 r
Total Percent Change
1989-2001
Average Annual
Growth Rate
Primary Aluminum Production
Number of
Establishments
56
54
57
52
44
41
40
51
34
28
28
29
32
38
-32.1%
-3.2%
Percent Change
n/a
-3.6%
5.6%
-8.8%
-15.4%
-6.8%
-2.4%
27.5%
-33.3%
-17.6%
-17.6%
3.6%
10.3%
18.8%
Aluminum Sheet,
Number of
Establishments
61
64
73
73
63
69
76
81
91
83
79
93
103
111
82.0%
5.1%
Plate, and Foil
Percent Change
n/a
4.9%
14.1%
0.0%
-13.7%
9.5%
10.1%
6.6%
12.3%
-8.8%
-13.2%
17.7%
10.8%
7.8%
a Before 1998, these data were compiled in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to
the SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
B2E-10
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
The trend in the number of firms over the period between 1989 and 2001 is similar to the trend in the number of
facilities in both industry segments. Table B2E-6 on the following page presents SUSB information on the
number of firms in each segment between 1989 and 2001.
Table B2E-6: Number of Firms for Profiled Aluminum Segments
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998
1998a
1999a
2000a
2001a
Total Percent Change
1990-2001
Average Annual
Growth Rate
Primary Aluminum Production
Number of Firms Percent Change
38
41
36
33
30
30
40
23
19
19
20
22
28
-26.3%
-2.7%
n/a
7.9%
-12.2%
-8.3%
-9.1%
0.0%
33.3%
-42.5%
-17.4%
-17.4%
5.3%
10.0%
27.3%
Aluminum Sheet,
Number of Firms
43
53
53
45
47
51
56
66
60
56
66
73
82
90.7%
6.0%
Plate, and Foil
Percent Change
n/a
23.3%
0.0%
-15.1%
4.4%
8.5%
9.8%
17.9%
-9.1%
-15.2%
17.9%
10.6%
12.3%
a Before 1998, these data were compiled in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the
SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. SBA, 1989-2001.
B2E-11
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
B2E-2.4 Employment and Productivity
Figure B2E-3, below, provides information on employment from the Annual Survey of Manufactures for the
Primary Aluminum and Aluminum Sheet, Plate, and Foil segments. Trends in Primary Aluminum facility
employment reflect trends in both production and producers' efforts to improve labor productivity to compete
with less labor-intensive minimills (McGraw-Hill, 2000). The figure shows that employment in the Primary
Aluminum segment has declined steadily since 1992, even in years of increased production.
Employment in the Aluminum Sheet, Plate, and Foil segment declined from 1987 through 1994, but rose between
1995 and 1997, before declining again during 1997 to 2001. Employment in the Primary Aluminum Production
segment increased during the 1987 to 1992 period, but fell persistently over the remainder of the 1990s decade
and through 2001. For both industry segments, the low employment level in 2001 resulted from the idled
capacity from curtailed production at a number of Pacific Northwest mills caused by the California energy crisis.
Figure B2E-3: Employment for Profiled Aluminum Segments
-A Primary Production of Aluminum
(SIC 3334)
-A— Primary Aluminum Production
(NAICS to SIC 3334)
» Aluminum Sheet, Plate, and Foil
(SIC 3353)
- *- - - Aluminum Sheet, Plate, and Foil
(NAICS to SIC 3353)
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the
North American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the
SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
B2E-12
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Table B2E-7 presents the change in value added per labor hour, a measure of labor productivity, for the Primary
Aluminum Production and Aluminum Sheet, Plate, and Foil segments between 1987 and 2001. The trend in labor
productivity in both segments showed volatility over this period, reflecting variations in capacity utilization.
Value added per hour in the Primary Aluminum segment showed a 3.3 percent net increase over the entire period
1987 and 2001. Value added per hour in the Aluminum Sheet, Plate, and Foil segment saw a three percent
decrease over the whole period between 1987 and 2001.
Table B2E-7: Productivity Trends for Profiled Aluminum Segments ($2003)
Year
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998"
1999a
2000a
200 r
Total Percent Change
1987-2001
Average Annual
Growth Rate
Primary Production
Value
Added
(millions)
821
933
964
971
971
986
870
827
855
844
783
800
742
700
607
-26.1%
-2.1%
Production
Hours
(millions)
28
32
30
32
32
32
29
27
28
29
26
27
26
24
19
-32.1%
-2.7%
of Aluminum
Value Added/Hour
(S/hour)
30
29
32
30
30
31
30
31
30
30
30
30
29
29
31
3.3%
0.2%
Percent
Change
n/a
-2%
9%
-5%
0%
1%
-2%
2%
-2%
-2%
1%
0%
-5%
0%
9%
Aluminum Sheet,
Value
Added
(millions)
1,317
1,345
1,336
1,322
1,251
1,241
1,224
1,148
1,178
1,215
1,302
1,187
1,158
1,110
1,011
-23.2%
-1.9%
Production
Hours
(millions)
40
41
41
40
39
40
39
37
38
39
41
39
37
35
32
-20.0%
-1.6%
Plate, and
Foil
Value Added/Hour
(S/hour)
33
33
33
33
32
31
32
31
31
31
32
31
32
32
32
-3.0%
-0.2%
Percent
Change
n/a
0%
0%
2%
-4%
-2%
2%
-1%
-2%
1%
1%
-3%
3%
1%
-2%
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
B2E-13
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2E: Aluminum
B2E-2.5 Capital Expenditures
Aluminum production is a highly capital-intensive process. Capital expenditures are needed to modernize,
replace, and when market conditions warrant, expand capacity. Environmental requirements also require major
capital expenditures.
Capital expenditures in the Primary Aluminum Production and Aluminum Sheet, Plate, and Foil segments
between 1987 and 2001 are presented in Table B2E-8 below. The table shows that capital expenditures in the
Primary Aluminum segment increased throughout the early 1990s, reaching a high in 1992 and again in 1998. In
between these two periods of increased capital investment there was a significant decrease of 46 percent between
1992 and 1994. These decreases resulted from the production cutbacks and capacity reductions implemented in
response to oversupply conditions prevalent in the market for aluminum.
Capital expenditures in the Aluminum Sheet, Plate, and Foil segment also fluctuated considerably between 1987
and 2001, with the highest values occurring in 1990, two years earlier than in the Primary Aluminum segment.
Although producers of Aluminum Sheet, Plate, and Foil reduced capital expenditures by approximately 50
percent between 1988 and 1997, outlays began to increase in 2001.
B2E-14
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Table B2E-8: Capital Expenditures for Profiled Aluminum Segments (millions, $2003)
Year
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998a
1999"
2000a
2001a
Total Percent Change
1987-2001
Average Annual
Growth Rate
Primary Aluminum
Capital Expenditures
250
205
245
243
260
263
200
141
174
233
355
432
380
371
266
6.4%
0.4%
Production
Percent Change
n/a
-18.2%
19.4%
-0.6%
6.8%
1.2%
-24.0%
-29.2%
23.0%
34.0%
52.2%
21.8%
-12.2%
-2.3%
-28.4%
Aluminum Sheet,
Capital Expenditures
634
731
742
882
710
512
289
321
435
451
367
348
352
367
594
-6.3%
-0.5%
Plate, and Foil
Percent Change
n/a
15.4%
1.5%
18.9%
-19.6%
-27.9%
-43.6%
11.1%
35.5%
3.7%
-18.5%
-5.3%
1.2%
4.1%
62.1%
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the
North American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the
SIC code classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1988-1991, 1993-1996, and 1998-2001; U.S. DOC, 1987, 1992, and 1997.
B2E-2.6 Capacity Utilization
Capacity utilization measures actual output as a percentage of total potential output given the available capacity.
Capacity utilization reflects excess or insufficient capacity in an industry and is an indication of whether new
investment is likely. Capacity utilization is also closely linked to financial performance for industries with
substantial fixed costs, such as the aluminum industry. Like integrated steel mills, the aluminum manufacturing
process requires a large capital base to transform raw material into finished product. Because of the resulting high
fixed costs of production, earnings can be very sensitive to production levels, with high output levels relative to
capacity needed for plants to remain profitable.
Figure B2E-4 shows capacity utilization from 1989 to 2002 for the Primary Aluminum Production and Aluminum
Sheet, Plate, and Foil segments. The figure shows that for most of the 1990s, the Primary Aluminum segment
was characterized by excess capacity. Although capacity utilization for this segment was in the high 90 percent
range between 1990 and 1992, domestic utilization fell sharply in 1993 as large amounts of Russian aluminum
entered the global market for the first time (McGraw-Hill, 1999). Capacity utilization remained at this lower level
through 1999. In 2000 and 2001, capacity utilization fell again reflecting the general weakening of product
demand during the Asian economic crisis and later, general economic weakness in the U.S. and world economies.
Reflecting the economic recovery, product demand increased and capacity utilization rose during 2002.
A substantial amount of U.S. capacity remains idled, which could be brought on-line as demand improves. This
"overhang" idle capacity is likely to limit construction of new capacity and to limit price increases for aluminum
B2E-15
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
(S&P, 2001). No new smelter capacity has been constructed in the United States since 1980 (McGraw-Hill,
1999). The ten domestic producers of primary aluminum had a total of 7 smelters that were either temporarily or
permanently idled in 2002. By the end of 2002, about 1.5 million metric tons per year of domestic primary
aluminum smelting capacity, equivalent to 35 percent of total capacity, was closed. Of this total, 270,000 metric
tons per year of capacity was permanently closed and the remainder was classified as temporarily idled. The bulk
of the idled capacity was due to curtailed production at a number of Pacific Northwest mills caused by the
California energy crisis (USGS, 2002c).
Although also experiencing year-to-year fluctuation, capacity utilization in the Aluminum Sheet, Plate, and Foil
segment grew overall between 1989 and 1998. This growth resulted largely from the continued strength of rolled
aluminum products, which account for more than 50 percent of all shipments from the aluminum industry.
Increased consumption by the transportation segment, the largest end-use segment for aluminum sheet, plate, and
foil, is responsible for bringing idle capacity into production (McGraw-Hill 1999) However, falling demand in
these segments after 1998 and through 2001, led to a marked fall-off in capacity utilization. Again, reflecting the
economic recovery during 2002, capacity utilization rose substantially in this segment.
Figure B2E-4: Capacity Utilization Rates (Fourth Quarter) for Profiled Aluminum Segments
» Primary Production of Aluminum
(SIC 3334)
- 4- - - Primary Production of Aluminum
(NAICS to SIC 3334)
-A Aluminum Sheet, Plate, and Foil
(SIC 3353)
-A- - - Aluminum Sheet, Plate, and Foil
(NAICS to SIC 33 53)
1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
a Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: U.S. DOC, 1989-2002.
B2E-3 STRUCTURE AND COMPETITIVENESS
Aluminum production is a highly-concentrated industry. A number of large mergers among aluminum producers
have increased the degree of concentration in the industry. For example, Alcoa (the largest aluminum producer)
acquired Alumax (the third largest producer) in 1998 and Reynolds (the second largest producer) in May 2000.
Alcan acquired Algroup in 2000 and Pechiney in 2004. Three companies now account for just over 50 percent of
global aluminum output (S&P, 2004). Some sources speculate that, with increased consolidation resulting from
mergers, aluminum producers might refrain from returning idle capacity to production as demand for aluminum
grows, which could reduce the cyclical volatility in production and aluminum prices that has characterized the
industry in the past (S&P, 2000).
B2E-3.1 Geographic Distribution
B2E-16
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
The cost and availability of electricity is a driving force behind decisions on the location of new or expanded
smelter capacity. The Primary Aluminum producers are generally located in the Pacific Northwest (OR, MT,
WA) and the Ohio River Valley (IL, IN, KY, MI, MO, OH, PA), where supplies of lower-priced hydroelectric
and coal-based electricity are abundant. In 2002, the 11 smelters east of the Mississippi River accounted for 75
percent of production; whereas the remaining 11 smelters, which included the 9 Pacific Northwest smelters,
accounted for only 25 percent (USGS, 2004a). Aluminum consumption was centered in the East Central United
States (USGS, 2004a). The Aluminum Sheet, Plate, and Foil segment is located principally in California and the
Appalachian Region (Alabama, Kentucky, Maryland, Ohio, Pennsylvania, Tennessee, Virginia, and West
Virginia).
Figure B2E-5 shows the distribution of all facilities by State in both profiled aluminum segments (primary
smelters and Aluminum Sheet, Plate, and Foil producers), based on the 1992 Census of Manufactures.2
Figure B2E-5: Number of Facilities by State for Aluminum Segments (SIC 3334 and 3353)
Source: U.S. DOC, 1987, 1992, and 1997.
The 1992 Census of Manufactures is the most recent data available by SIC code and State.
B2E-17
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2E: Aluminum
B2E-3.2 Facility Size
Facility size can be expressed by the number of employees and/or by the total value of shipments, with the most
accurate depiction of size being a combination of both.
Economic Census data include numerous small facilities (less than 10 employees) for the profiled aluminum
segments, as shown in Figure B2E-6. These facilities may not be production facilities. Value of shipments,
however, are dominated by large establishments (greater than 500 employees) for both the Primary Aluminum
and Aluminum Sheet, Plate, and Foil industry segments. Figure B2E-6 shows that 93 percent of the value of
shipments for the Primary Aluminum segment is produced by establishments with more than 250 employees.
Approximately 88 percent of the value of shipments for the Aluminum Sheet, Plate, and Foil industry is produced
by establishments with more than 250 employees. Establishments in the Primary Aluminum Production and the
Aluminum Sheet, Plate, and Foil segments with more than 1,000 employees are responsible for approximately 37
and 53 percent of all industry shipments, respectively.
B2E-18
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Figure B2E-6: Number of Facilities and Value of Shipments in 1992" by Facility Employment Size
Category for Profiled Aluminum Segments
Number of Facilities
1 Primary Aluminum
Production (SIC 3334)
1 Aluminum Sheet, Plate,
and Foil (SIC 3353)
10-19 20-49 50-99 100-249 250-499 500-999 1000- 2500+
2499
Value of Shipments (in millions)
I Primary Aluminum Production
(SIC 3334)
1 Aluminum Sheet, Plate, and
Foil (SIC 3353)
1-9 10-19 20-49 50-99 100-249250-499500-999 1,000- 2500+
2,499
a The 1992 Census of Manufactures is the most recent data available by SIC code and facility employment size.
Source: U.S. DOC, 1987, 1992, and 1997.
B2E-3.3 Firm Size
The Small Business Administration (SBA) defines a small firm for SIC codes 3334 and 3353 as a firm with 1,000
or fewer and 750 or fewer employees, respectively. The Statistics of U.S. Businesses (SUSB) provide
employment data for firms with 500 or fewer employees and do not specify data for companies with 500-750
employees for SIC 3353 and 500-1000 for SIC 3334. Therefore, based on 2001 data for firms with up to 500
employees,
B2E-19
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
*• 18 of the 28 firms in the Primary Aluminum Production segment had less than 500 employees.
Therefore, at least 64 percent of this segment's firms are classified as small. These small firms owned 18
facilities, or 47 percent of all facilities in the segment.
*• 67 of the 82 firms in the Aluminum Sheet, Plate and Foil segment had less than 500 employees.
Therefore, at least 82 percent of this segment's firms are classified as small. These small firms owned 69
facilities, or 62 percent of all facilities in the segment.
Table B2E-9 below shows the distribution of firms and facilities in SIC 3334 and 3353 by the employment size of
the parent firm.
Table B2E-9: Number of Firms and Facilities by Employment Size Category
for the Profiled Aluminum Segments, 2001
Employment
Size Category
0-19
20-99
100-499
500+
Total
Primary Aluminum Production
Number of Firms Number of Facilities
13
4
1
10
28
13
4
1
20
38
Aluminum Sheet,
Number of Firms
42
16
9
15
82
Plate, and Foil
Number of Facilities
43
16
10
42
111
Source: U.S. SBA, 2001.
B2E-3.4 Concentration Ratios
Concentration is the degree to which industry output is concentrated in a few large firms. Concentration is closely
related to entry barriers with more concentrated industries generally having higher barriers.
The four-firm concentration ratio (CR4) and the Herfindahl-Hirschman Index (HHI) are common measures of
industry concentration. The CR4 indicates the market share of the four largest firms. For example, a CR4 of 72
percent means that the four largest firms in the industry account for 72 percent of the industry's total value of
shipments. The higher the concentration ratio, the less competition there is in the industry, other things being
equal3. An industry with a CR4 of more than 50 percent is generally considered concentrated. The HHI indicates
concentration based on the largest 50 firms in the industry. It is equal to the sum of the squares of the market
shares for the largest 50 firms in the industry. For example, if an industry consists of only three firms with market
shares of 60, 30, and 10 percent, respectively, the HHI of this industry would be equal to 4,600 (602 + 302 + 102).
The higher the index, the fewer the number of firms supplying the industry and the more concentrated the
industry. Based on the U.S. Department of Justice's guidelines for evaluating mergers, markets in which the HHI
is under 1000 are considered unconcentrated, markets in which the HHI is between 1000 and 1800 are considered
to be moderately concentrated, and those in which the HHI is in excess of 1800 are considered to be concentrated.
Table B2E-10 shows that Primary Aluminum has an HHI of 1231 and Aluminum Sheet, Plate and Foil has an
HHI of 1447. The Primary Aluminum and Aluminum Sheet, Plate, and Foil segments, with HHI values of 1231
3 Note that the measured concentration ratio and the HHF are very sensitive to how the industry is defined. An industry with a high
concentration in domestic production may nonetheless be subject to significant competitive pressures if it competes with foreign producers
or if it competes with products produced by other industries (e.g., plastics vs. aluminum in beverage containers). Concentration ratios
based on share of domestic production are therefore only one indicator of the extent of competition in an industry.
B2E-20
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
and 1447, respectively, appear to be moderately concentrated. Thus, based on this factor, firms in the aluminum
industry may enjoy moderate amounts of market power, which may enable them to pass-through costs at a more
than negligible rate. However, an accurate assessment of the cost pass-through potential of firms in the
Aluminum industry must be considered in conjunction with other measures of market power.
The four largest firms in Primary Aluminum Production accounted for 59 percent of total U.S. primary capacity in
1992. Consolidation in the industry since the early 1990s has increased concentration. With the merger of Alcoa,
Inc. and Reynolds in May 2000, the single merged company accounted for 50 percent of domestic primary
aluminum capacity, and the four largest U.S. producers control 72 percent of the domestic capacity (Alcoa Inc.
for 50 percent, Century Aluminum Co. for almost 10 percent, and Noranda Aluminum Inc. and Ormet Primary
Aluminum Corp. for 6 percent each) reported at the end of 2002 (USGS, 2002c).
Table B2E-10: Selected Ratios for the Profiled Aluminum Segments
SIC
Code
3334
3353
Year
1987
1992
1997
1987
1992
1997
Total
Number
of Firms
34
30
13
39
45
41
4 Firm
(CR4)
74%
59%
59%
74%
68%
65%
8 Firm
(CR8)
95%
82%
82%
91%
86%
85%
Concentration Ratios
20 Firm 50 Firm
(CR20) (CR50)
99%
99%
100%
99%
99%
98%
100%
100%
100%
100%
100%
100%
Herfindahl-
Hirschman Index
1934
1456
1231
1719
1633
1447
Source: U.S. DOC, 1987, 1992, and 1997.
B2E-3.5 Foreign Trade
This profile uses two measures of foreign competition: export dependence and import penetration.
Import penetration measures the extent to which domestic firms are exposed to foreign competition in domestic
markets. Import penetration is calculated as total imports divided by total value of domestic consumption in that
industry: where domestic consumption equals domestic production plus imports minus exports. Theory suggests
that higher import penetration levels will reduce market power and pricing discretion because foreign competition
limits domestic firms' ability to exercise such power. Firms belonging to segments in which imports account for
a relatively large share of domestic sales would therefore be at a relative disadvantage in their ability to pass-
through costs because foreign producers would not incur costs as a result of the Phase III regulation. The
estimated import penetration ratio for the entire U.S. manufacturing sector (NAICS 31-33) for 2001 is 22 percent.
For characterizing the ability of industries to withstand compliance cost burdens, EPA judges that industries with
import ratios close to or above 22 percent would more likely face stiff competition from foreign firms and thus be
less likely to succeed in passing compliance costs through to customers.
Export dependence, calculated as exports divided by value of shipments, measures the share of a segment's sales
that is presumed subject to strong foreign competition in export markets. The Phase III regulation would not
increase the production costs of foreign producers with whom domestic firms must compete in export markets.
As a result, firms in industries that rely to a greater extent on export sales would have less latitude in increasing
prices to recover cost increases resulting from regulation-induced increases in production costs. The estimated
export dependence ratio for the entire U.S. manufacturing sector for 2001 is 15 percent. For characterizing the
ability of industries to withstand compliance cost burdens, EPA judges that industries with export ratios close to
B2E-21
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2E: Aluminum
or above 15 percent are at a relatively greater disadvantage in potentially recovering compliance costs through
price increases since export sales are presumed subject to substantial competition from foreign producers.
Table B2E-11 reports export dependence and import penetration for both the Primary Aluminum Production and
the Aluminum Sheet, Plate, and Foil segments, since 1993. Imports of Primary Aluminum rose dramatically in
1994, primarily due to the large exports from Russian producers. Representatives of major aluminum producing
countries met in late 1993 and 1994 to address the excess global supply of primary aluminum. Those discussions
resulted in the Russian Federation's agreement to reduce production by 500,000 MTs per year, and plans for other
producers to cut their production and to assist Russian producers to improve their environmental performance and
stimulate the development of internal demand for the Russian production (USGS, 1994c). Nonetheless, imports
have continued to represent a substantial and growing proportion of U.S. demand, reaching an estimated 44
percent in 2001 for Primary Aluminum Production. By 2002, Canada was the largest supplier of imports,
supplying more than one-half of total imports. Russia continued to be the second largest supplier of aluminum
materials to the U.S. (USGS, 2002c). The majority of U.S. exports (two-thirds) are shipped to Canada and
Mexico.
As discussed previously, the import penetration ratio for the Primary Aluminum Production segment in 2001 was
44 percent, which is twice the U.S. manufacturing segment average of 22 percent. The export ratio for Primary
Aluminum Production in 2001 was eight percent; therefore the segment will not likely be affected by competitive
pressures from abroad in export sales. On balance, the U.S. Primary Aluminum Production segment is subject to
significant international competitive pressure, largely manifesting though the penetration of foreign product into
domestic markets. This finding indicates a low likelihood that Primary Aluminum producers subject to the 316(b)
regulation would be able to pass a material share of compliance costs through to customers.
In 2001, the import penetration ratio for facilities in the Aluminum Sheet, Plate, and Foil segment was 11 percent,
which is one-half of the U.S. manufacturing segment average of 22 percent. In 2001, the export dependence ratio
for this segment was 15 percent, or approximately the average for U.S. manufacturers. This industry segment
appears to face lower competition from foreign producers in domestic markets than the Primary Aluminum
Production segment, but this segment competes more vigorously in foreign markets, where it is more exposed to
foreign competition than the Primary Aluminum Production segment. On balance, this industry segment is likely
to face moderate competitive pressure from foreign producers, whether in domestic or export markets, in
attempting to recover regulation-induced increases in production costs through price increase.
Overall, the competitive pressure from foreign firms/markets may offset the finding, stated above, that the
aluminum industry would appear to possess market power from being a moderately concentrated industry. As a
result, from a total market perspective, the industry is not likely to possess any substantial market power
advantage in being able to pass compliance costs through to customers as price increases.
B2E-22
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Table B2E-11: Import Share and Export Dependence for the Profiled Aluminum Segments
Year
Value of Imports
(millions, $2003)
Value of Exports
(millions, $2003)
Value of
Shipments
(millions, $2003)
Implied
Domestic
Consumption3
Import
Penetration1"
Export
Dependence0
Primary Aluminum Production
1993d
1994d
1995d
1996d
1997d
1997e
1998e
1999e
2000e
2001e
Total Percent Change
1993-2001
Average Annual
Percent Change
2,570
4,073
4,233
3,422
3,876
3,892
4,075
4,193
4,435
4,152
61. 6%
5.5%
647
627
791
768
671
688
597
648
656
474
-26. 7%
-3.4%
6,181
6,533
7,660
6,679
6,893
6,893
6,803
6,272
6,369
5,707
8,104
9,979
11,102
9,333
10,098
10,097
10,281
9,817
10,148
9,385
15.8%
1.6%
31.7%
40.8%
38.1%
36.7%
38.4%
38.5%
39.6%
42.7%
43.7%
44.2%
10.5%
9.6%
10.3%
11.5%
9.7%
10.0%
8.8%
10.3%
10.3%
8.3%
-20.7%
-2.5%
Aluminum Sheet, Plate, and Foil
1993d
1994d
1995d
1996d
1997d
1997e
1998e
1999e
2000e
2001e
1,001
1,267
1,885
1,444
1,682
1,402
1,502
1,521
1,672
1,466
1,770
2,162
3,004
2,681
3,041
2,670
2,507
2,354
2,372
2,071
14,401
13,479
13,024
11,563
12,381
15,938
14,231
15,179
14,297
13,833
13,632
12,584
11,905
10,326
11,022
14,670
13,226
14,346
13,597
13,228
7.3%
10.1%
15.8%
14.0%
15.3%
9.6%
11.4%
10.6%
12.3%
11.1%
12.3%
16.0%
23.1%
23.2%
24.6%
16.8%
17.6%
15.5%
16.6%
15.0%
Total Percent Change
1993-2001
Average Annual
Percent Change
46.5%
4.3%
17.0%
1.8%
-3.0%
-0.3%
21.8%
a Calculated by EPA as shipments + imports - exports.
b Calculated by EPA as imports divided by implied domestic consumption.
c Calculated by EPA as exports divided by shipments.
d As no Census Trade data is available before 1997, Export and Import values are taken from USGS Mineral Yearbooks for years 1993-
1997. "Metals and Alloys, Crude" represent SIC 3334 and "Plate, Sheets, Bars, Strip, etc." is equivalent to SIC 3353.
e Before 1998, the Department of Commerce compiled data in the SIC system; since 1998, these data have been compiled in the North
American Industry Classification System (NAICS). For this analysis, EPA converted the NAICS classification data to the SIC code
classifications using the 1997 Economic Census Bridge Between NAICS and SIC.
Source: ASM 1997-2001 USGS 1993c-1997c.
B2E-23
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Table B2E-12 shows trends in exports and imports separately for aluminum metal and alloys and for semifinished
products separately. U.S. aluminum companies have a large overseas presence, which makes it difficult to
analyze import data. Reported import data may reflect shipments from an overseas facility owned by a U.S. firm.
The import data therefore do not provide a completely accurate picture of the extent to which foreign companies
have penetrated the domestic market for aluminum. This table shows that imports have grown substantially in
both categories between 1993 and 2003. Exports of primary aluminum have generally declined, with some
fluctuation over the period. Exports to semifinished aluminum rose steadily until 1999, where they peaked for the
period, and have since declined.
Table B2E-12: Trade Statistics for Aluminum and Semifabricated Aluminum Products
(Quantities in thousand metric tons; Values in Smillions)
Year
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
Total Percent Change
1993-2002
Average Annual
Growth Rate
Metals and
Import3
Quantity
1,840
2,480
1,930
1,910
2,060
2,400
2,650
2,490
2,560
2,790
51. 6%
4.7%
Value
2,150
3,480
3,690
3,040
3,500
3,660
3,760
4,030
3,930
4,040
87.9%
7.3%
Alloys, Crude
Export
Quantity
400
339
369
417
352
265
318
273
192
206
-48.5%
-7.1%
b
Value
541
536
690
682
606
449
515
468
320
337
-37.7%
-5.1%
Plate, Sheets,
Import3
Quantity
400
507
622
498
562
649
735
791
683
796
99.0%
7.9%
Value
837
1,082
1,643
1,283
1,519
1,715
1,777
2,088
1,762
1,922
1 29. 6%
9.7%
Bars, Strip, etc.
Export"
Quantity
594
719
812
760
882
893
907
845
751
706
18.9%
1.9%
Value
1,481
1,847
2,619
2,382
2,746
2,723
2,564
2,380
2,120
1,880
26.9%
2.7%
Source: USGS 1994c-2002c.
"Table 10: U.S. Imports for Consumption of Aluminum, by
bTable 9: U.S. Exports of Aluminum, by Class
Class
B2E-4 FINANCIAL CONDITION AND PERFORMANCE
The financial performance and condition of the aluminum industry are important determinants of its ability to
withstand the costs of regulatory compliance without material adverse economic/financial impact. To provide
insight into the industry's financial performance and condition, EPA reviewed two key measures of financial
performance over the 12-year period, 1992-2003: net profit margin and return on total capital. EPA calculated
these measures as a revenue-weighted index of measure values for public reporting firms in the respective
industries, using data from the Value Line Investment Survey. Financial performance in the most recent financial
reporting period (2003) is obviously not a perfect indicator of conditions at the time of regulatory compliance.
However, examining the trend, and deviation from the trend, through the most recent reporting period gives
insight into where the industry may be, in terms of financial performance and condition, at the time of
compliance. In addition, the volatility of performance against the trend, in itself, provides a measure of the
B2E-24
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2E: Aluminum
potential risk faced by the industry in a future period in which compliance requirements are faced: all else equal,
the more volatile the historical performance, the more likely the industry may be in a period of relatively weak
financial conditions at the time of compliance.
Net profit margin is calculated as after-tax income before nonrecurring gains and losses as a percentage of sales or
revenues, and measures profitability, as reflected in the conventional accounting concept of net income. Over
time, the firms in an industry, and the industry collectively, must generate a sufficient positive profit margin if the
industry is to remain economically viable and attract capital. Year-to-year fluctuations in profit margin stem from
a several factors, including: variations in aggregate economic conditions (including international and U.S.
conditions), variations in industry-specific market conditions (e.g., short-term capacity expansion resulting in
overcapacity), or changes in the pricing and availability of inputs to the industry's production processes (e.g., the
cost of energy to the aluminum production process). The extent to which these fluctuations affect an industry's
profitability, in turn, depends heavily on the fixed vs. variable cost structure of the industry's operations. In a
capital intensive industry such as the aluminum industry, the relatively high fixed capital costs as well as other
fixed overhead outlays, can cause even small fluctuations in output or prices to have a large positive or negative
affect on profit margin.
Return on total capital is calculated as annual net profit, plus one-half of annual long-term interest, divided by the
total of shareholders' equity and long-term debt (total capital). This concept measures the total productivity of the
capital deployed by a firm or industry, regardless of the financial source of the capital (i.e., equity, debt, or
liability element). As such, the return on total capital provides insight into the profitability of a business' assets
independent of financial structure and is thus a "purer" indicator of asset profitability than return on equity. In the
same way as described for net profit margin, the firms in an industry, and the industry collectively, must generate
over time a sufficient return on capital if the industry is to remain economically viable and attract capital. The
factors causing short-term variation in net profit margin will also be the primary sources of short-term variation in
return on total capital.
Figure B2E-7 below shows net profit margin and return on total capital for the aluminum industry between 1992
and 2003. The graph shows considerable volatility. Performance was very low between 1988 and 1993,
reflecting general economic weaknesses and oversupply in the market (McGraw-Hill, 2000). By the mid-1990s,
performance improved as demand recovered and aluminum prices increased. Performance declined again though
in 2000 through 2002, reflecting economic downturn in both the U.S. and world economies. By 2003, financial
performance began to level off compared to the significant declines experienced in the three prior years.
Improving financial performance on a quarter-to-quarter basis over the course of 2003 suggests that the
Aluminum industry is in position for improving financial performance in 2004 and beyond as U.S. economic
conditions continue to strengthen.
B2E-25
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
Figure B2E-7: Net Profit Margin and Return on Total Capital for the Aluminum Industry
4%
2%
0%
-2%
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
-Net Profit Margin -
Aluminum Industry
-Return on Total Capital
- Aluminum Industry
Source: Value Line, 1992-2003.
B2E-5 FACILITIES OPERATING COOLING WATER INTAKE STRUCTURES
Section 316(b) of the Clean Water Act applies to point source facilities that use or propose to use a cooling water
intake structure and that withdraws cooling water directly from a surface waterbody of the United States. In
1982, the Primary Metals industries as a whole (including Steel and Non-ferrous producers) withdrew 1,312
billion gallons of cooling water, accounting for approximately 1.7 percent of total industrial cooling water intake
in the United States4. The industry ranked 3rd in industrial cooling water use, behind the electric power
generation industry, and the chemical industry (1982 Census of Manufactures).
This section provides information for facilities in the profiled aluminum segments potentially subject to the
proposed regulation. Existing facilities that meet all of the following conditions are potentially subject to the
proposed regulation:5
*• Use a cooling water intake structure or structures, or obtain cooling water by any sort of contract or
arrangement with an independent supplier who has a cooling water intake structure; or their cooling water
intake structure(s) withdraw(s) cooling water from waters of the U.S., and at least twenty-five (25)
percent of the water withdrawn is used for contact or non-contact cooling purposes;
*• Have an National Pollutant Discharge Elimination System (NPDES) permit or are required to obtain one;
and
*• Have a design intake flow of greater than 2 million gallons per day (MOD).
The proposed regulation also covers substantial additions or modifications to operations undertaken at such
facilities. While all facilities that meet these criteria are subject to the regulation, this section focuses on the 21
4 Data on cooling water use are from the 1982 Census of Manufactures. 1982 was the last year in which the Census of Manufactures
reported cooling water use.
5 The proposed Phase III regulation also applies to existing electric generating facilities as well as certain facilities in the oil and gas
extraction industry and the seafood processing industry. See Chapters B4 and B5 and Part C of this document for more information on
these industries.
B2E-26
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
facilities nation-wide in the profiled aluminum segments identified in EPA's 2000 Section 316(b) Industry Survey
as being potentially subject to this proposed regulation6. Information collected in the Detailed Industry
Questionnaire found that an estimated 11 out of 31 Primary Aluminum producers (36 percent) and 10 out of 57
Aluminum Sheet, Plate, and Foil manufacturers (18 percent) meet the characteristics of a potential Phase III
facility.
B2E-5.1 Waterbody and Cooling System Type
Table B2E-13 shows the distribution of potential Phase III facilities in the profiled aluminum segment by type of
water body and cooling system. The table shows that three-quarters of the potential Phase III facilities use a
once-through cooling system (16, or 77%) and one-quarter use a recirculating system (5, or 23%). Ten of the 11
Section 316(b) Primary Aluminum producers obtain their cooling water from a freshwater stream or river. The
other Section 316(b) Primary Aluminum producer draws from a lake or reservoir. Seven of the Section 316(b)
Aluminum Sheet, Plate, and Foil manufacturers obtain their cooling water from either a freshwater stream or
river. The other three Section 316(b) Aluminum Sheet, Plate, and Foil manufacturers draw from one of the Great
Lakes. Seventy-six percent (16 facilities) of all Section 316(b) aluminum facilities withdraw their cooling water
from a freshwater stream or river. None of the facilities withdraw from an estuary, the most sensitive type of
waterbody.
Table B2E-13: Number of Potential Phase III facilities by Water Body Type and
Cooling System Type for the Profiled Aluminum Segments
Cooling System
Water Body Type
Recirculating
Number % of Total
Once-Through
Number % of Total
Total
Primary Production of Aluminum
Freshwater Stream or River
Lake or Reservoir
Total
0
1
1
0%
100%
9%
10
0
10
100%
0%
91%
10
1
11
Aluminum Sheet, Plate, and Foil
Freshwater Stream or River
Great Lake
Total
3
0
3
43%
0%
30%
3
3
7
47%
100%
70%
7
3
10
Total for Profiled Aluminum Facilities
Freshwater Stream or River
Lake or Reservoir
Great Lake
Total
3
1
0
5
18%
100%
0%
24%
13
0
3
16
82%
0%
100%
78%
16
1
3
21
Source: U.S. EPA, 2000.
6 EPA applied sample weights to the sampled facilities to account for non-sampled facilities and facilities that did not respond to the
survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer to the Information Collection Request (U.S.
EPA, 2000).
B2E-27
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
B2E-5.2 Facility Size
Section 316(b) sample aluminum facilities are larger than facilities in their industries as a whole, as reported in
the Census and discussed previously:
*• Sixty-five percent of all facilities in the aluminum segment had fewer than 500 employees in 1992; none
of the potential Phase III facilities in that segment fall into that employment category.
Figure B2E-8 shows the number of potential Phase III facilities by employment size category.
Figure B2E-8: Number of Potential Phase III facilities by Employment Size for the Profiled
Aluminum Segments
I Primary Production of
Aluminum (SIC 3334)
I Aluminum Sheet, Plate, and
Foil (SIC 3353)
500-999
>=1000
Source: U.S. EPA, 2000.
B2E-28
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2E: Aluminum
B2E-5.3 Firm Size
EPA used the Small Business Administration (SBA) small entity size standards to determine the number of
existing Section 316(b) profiled aluminum industry facilities owned by small firms. Firms in the Primary
Production of Aluminum segment are defined as small if they have 1000 or fewer employees; firms in the
Aluminum Sheet, Plate, and Foil segment are defined as small if they have 750 or fewer employees. Table B2E-
14 shows that three (or 27 percent) of the Section 316(b) Primary Aluminum producers are owned by small firms.
The remaining eight (or 73 percent) Primary Aluminum producers are owned by large firms. All of the Section
316(b) Aluminum Sheet, Plate, and Foil producers are owned by large firms.
Table B2E-14: Number of Potential Phase III facilities by Firm Size for the Profiled
Aluminum Segments
SIC Code
3334
3353
Total
Number
8
10
18
Large
% of SIC
73%
100%
86%
Number
3
0
3
Small
% of SIC
27%
0%
14%
Total
11
10
21
Source: U.S. EPA, 2000; U.S. SBA, 2000; D&B, 2001.
B2E-29
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2E: Aluminum
REFERENCES
The Aluminum Association. Undated. Aluminum: An American Industry in Profile.
The Aluminum Association. 2001. The Aluminum Situation. September 2001.
The Aluminum Association. 1999. "Northwest Smelter Restarts Are Seen Unlikely", Industry News. October
29, 1999.
Bureau of Labor Statistics (BLS). 2002. Producer Price Index. Series: PCU33 #-Primary Metal Industries.
Dun and Bradstreet (D&B). 2001. Data extracted from D&B Webspectrum August 2001.
Executive Office of the President. 1987. Office of Management and Budget. Standard Industrial Classification
Manual.
Federal Reserve Board. 2004. Industrial Production and Capacity Utilization. Data extracted May 11,2004.
McGraw-Hill and U.S. Department of Commerce, International Trade Administration. 2000.
U.S. Industry & Trade Outlook '00.
McGraw-Hill and U.S. Department of Commerce, International Trade Administration. 1999.
U.S. Industry & Trade Outlook '99.
Standard & Poor's (S&P). 2000. Industry Surveys-Metals: Industrial. January 20, 2000.
Standard & Poor's (S&P). 2001a. Industry Surveys-Metals: Industrial. July 12, 2001.
Standard & Poor's (S&P). 2004. Sub Industry Outlook- Alcoa Inc.. February 21, 2004.
U.S. Department of Commerce (U.S. DOC). 1989-2002. Bureau of the Census. Current Industrial Reports.
Survey of Plant Capacity.
U.S. Department of Commerce (U.S. DOC). 1988-1991, 1993-1996, and 1998-2001. Bureau of the Census.
Annual Survey of Manufactures.
U.S. Department of Commerce (U.S. DOC). 1987, 1992, and 1997. Bureau of the Census. Census of
Manufactures.
U.S. Department of Commerce (U.S. DOC). 1997. Bureau of the Census. 1997 Economic Census Bridge
Between NAICS and SIC.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Detailed Industry Questionnaire: Phase II Cooling
Water Intake Structures.
U.S. Environmental Protection Agency (U.S. EPA). 1995. Office of Enforcement and Compliance Assurance.
Profile of the Nonferrous Metals Industry, EPA Office of Compliance Segment Notebook Project. EPA 310-R-
95-010. September, 1995.
United States Geological Survey (USGS). 1996a-2004a. Mineral Commodity Summaries. Aluminum. Author:
Patricia Plunkert.
United States Geological Survey (USGS). 2001b-2003b. Mineral Industry Surveys. Aluminum. Author: Patricia
Plunkert.
B2E-30
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2E: Aluminum
United States Geological Survey (USGS). 1993c-2002c. Minerals Yearbook. Aluminum. Author: Patricia
Plunkert.
United States Geological Survey (USGS). 2002d. Historical Statistics for Mineral and Material Commodities in
the United States. Aluminum. Authors:
United States Geological Survey (USGS). 1998e. Metal Prices in the United States through 1998.
U.S. Small Business Administration. 1989-2001. Statistics of U.S. Businesses.
U.S. Small Business Administration (U.S. SBA). 2000. Small Business Size Standards. 13 CFR section 121.201.
Value Line. 1992-2003. Value Line Investment Survey.
Value Line. 2001. Metals & Mining (Diversified) Industry. July 27, 2001.
Value Line. 2003a. Metal Fabricating Industry. March 28, 2003.
Value Line. 2003b. Metals & Mining (Diversified) Industry. April 25, 2003.
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THIS PAGE INTENTIONALLY LEFT BLANK
B2E-32
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2F: Facilities in Other Industries
Chapter B2F: Facilities in Other Industries
(Various SICs)
The preceding profile sections focus on the five
Primary Manufacturing Industries - Paper and
Allied Products, Chemicals and Allied Products,
Petroleum and Coal Products, Steel, and
CHAPTER CONTENTS
B2F-1 Facilities Operating Cooling Water Intake
Structures B2F-2
Aluminum - identified, after electric power B2F-1.1 Waterbody and Cooling System Types .... B2F-3
., , . r. ,, B2F-1.2 Facility Size B2F-3
generators, as using the largest amount or
B2F-1.3 Firm Size B2F-4
References B2F-5
cooling water in their operations and most likely,
after electric power generators, to be subject to
the proposed regulation. However, facilities in
other industries use cooling water and would therefore also be subject to the proposed regulation if they meet the
regulation's specifications. This section of the profile provides information on a sample of facilities in these
Other Industries.
Although EPA targeted its Detailed Industry Questionnaire at the electric power industry and the five Primary
Manufacturing Industries, the Agency received 22 questionnaire responses from facilities with business
operations in industries other than these major cooling water-intensive industries. EPA originally believed these
facilities to be non-utility electric power generators; however, inspection of their responses indicated that the
facilities were better understood as cooling water-dependent facilities whose principal operations lie in businesses
other than the electric power industry or the Primary Manufacturing Industries. Unlike the sample facility
observations for the five Primary Manufacturing Industries, the sample of observations from Other Industries is
not based on a scientifically framed sample and the information from this sample of observations may not be
reliably extrapolated beyond these facilities. As a result, EPA's profile of information for the Other Industries
facilities is restricted to these 22 sample facilities and is not presented as national estimates.
The 22 Other Industries facilities fall in a wide range of businesses, as defined by 2-digit SIC industry group.
Table B2F-1, following page, presents the number of responses received from facilities in the Other Industries by
industry group.
B2F-1
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2F: Facilities in Other Industries
Table B2F-1: Facility Observations in Other Industries by 2-digit SIC code
No. of
Facilities
SIC
Code
SIC Description
Important Operations
12
01
10
14
20
22
24
34
Agriculture production -
crops
Metal mining
Mining and quarrying of
nonmetallic minerals,
except fuels
Food and kindred
products
Textile mill products
Lumber and wood
products, except furniture
Fabricated metal products,
except machinery and
transportation equipment
Crops, plants, vines, and trees (excluding forestry operations); sod farms, and
cranberry bogs; mushrooms, bulbs, flower seeds, and vegetable seeds; and
growing of hydroponic crops.
Mining, developing mines, or exploring for metallic minerals (ores); ore dressing
and beneficiating operations, whether performed at mills operated in conjunction
with the mines served or at mills, such as custom mills, operated separately.
Mining or quarrying, developing mines, or exploring for nonmetallic minerals,
except fuels; certain well and brine operations, and primary preparation plants,
such as those engaged in crushing, grinding, washing, or other concentration
Manufacturing or processing foods and beverages for human consumption, and
certain related products, such as manufactured ice, chewing gum, vegetable and
animal fats and oils, and prepared feeds for animals and fowls.
Preparation of fiber and subsequent manufacturing of yarn, thread, braids, twine,
and cordage; manufacturing broadwoven fabrics, narrow woven fabrics, knit
fabrics, and carpets and rugs from yarn; dyeing and finishing fiber, yarn, fabrics,
and knit apparel; coating, waterproofing, or otherwise treating fabrics; integrated
manufacture of knit apparel and other finished articles from yam; manufacture of
felt goods, lace goods, non-woven fabrics, and miscellaneous textiles.
Cutting timber and pulpwood; merchant sawmills, lath mills, shingle mills,
cooperage stock mills, planing mills, and plywood mills and veneer mills
engaged in producing lumber and wood basic materials; manufacturing finished
articles made entirely or mainly of wood or related materials.
Ferrous and nonferrous metal products, such as metal cans, tinware, handtools,
cutlery, general hardware, nonelectric heating apparatus, fabricated structural
metal products, metal forgings, metal stampings, ordnance (except vehicles and
guided missiles), and a variety of metal and wire products, not elsewhere
classified.
1
37 Transportation equipment Equipment for transportation of passengers and cargo by land, air, and water.
Source: U.S. EPA, 2000; Executive Office of the President, 1987.
B2F-1
FACILITIES OPERATING COOLING WATER INTAKE STRUCTURES
Section 316(b) of the Clean Water Act applies to point source facilities that use or propose to use a cooling water
intake structure and that withdraws cooling water directly from a surface waterbody of the United States. This
section provides information for facilities in Other Industries potentially subject to the proposed regulation. The
proposed regulation applies to existing facilities that meet all of the following conditions:1
*• Use a cooling water intake structure or structures, or obtain cooling water by any sort of contract or
arrangement with an independent supplier who has a cooling water intake structure; or their cooling water
intake structure(s) withdraw(s) cooling water from waters of the U.S., and at least twenty-five (25)
percent of the water withdrawn is used for contact or non-contact cooling purposes;
1 The proposed Phase III regulation also applies to existing electric generating facilities as well as certain
facilities in the oil and gas extraction industry and the seafood processing industry. See Chapters B4 and B5 and
Part C of this document for more information on these industries.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2F: Facilities in Other Industries
*• Have an National Pollutant Discharge Elimination System (NPDES) permit or are required to obtain one;
and
*• Have a design intake flow of greater than 2 million gallons per day (MOD).
The proposed regulation also covers substantial additions or modifications to operations undertaken at such
facilities. While all facilities that meet these criteria are subject to the regulation, this section focuses on the 22
facilities nation-wide in Other Industries identified in EPA's 2000 Section 316(b) Industry Survey as being
potentially subject to this proposed regulation.
B2F-1.1 Waterbody and Cooling System Types
Table B2F-2 reports the distribution of the Other Industries facilities by type of water body and cooling system.
The majority of these facilities have either a once-through system (10, or 46 percent) or recirculating system (7, or
33 percent). In addition, a majority of these facilities draw water from a freshwater stream or river (12, or 55
percent). Of the four facilities that withdraw from an estuary, the most sensitive type of waterbody, three use a
once-through cooling system. Plants with once-through cooling water systems withdraw between 70 and 98
percent more water than those with recirculating systems.
Table B2F-2: Number of Sampled Facilities by Water Body and Cooling System
Type for Facilities in Other Industries
Cooling System
Water Body Type
Recirculating
ivr u %of
Number _ ,
Total
Combination
ivr u %of
Number _ ,
Total
Once-Through
ivr u %of
Number _ ,
Total
Other
ivr u %of
Number _ ,
Total
Total3
Other Industries
Freshwater Stream/ River
Estuary/ Tidal River
Lake / Reservoir
Great Lake
Ocean
Total11
6 50%
1 25%
0 0%
0 0%
0 0%
7 32%
1 8%
0 0%
0 0%
2 50%
0 0%
3 14%
3 25%
3 75%
1 100%
2 50%
1 100%
10 45%
1 17%
0 0%
0 0%
0 0%
0 0%
2 9%
12
4
1
4
1
22
a Individual numbers may not add up to total due to independent rounding.
Source: U.S. EPA, 2000.
B2F-1.2 Facility Size
Figure B2F-1 shows the employment size category for the 22 sampled facilities identified as having primary
operations outside of the power generation and Primary Manufacturing Industries already profiled. Half of the
sampled facilities have between 100 and 500 employees and five have over 1,000 employees.
B2F-3
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B2F: Facilities in Other Industries
Figure B2F-1: Number of Sampled Facilities in Other Industries by Employment Size
7-
100-249
250-499
500-999
>=1000
Source: U.S. EPA, 2000.
B2F-1.3 Firm Size
EPA used the Small Business Administration (SBA) small entity size standards to determine the number of
sampled facilities in Other Industries that are owned by small firms. Depending on their SIC code, firms are
defined as small based on either revenues or number of employees. Table B2F-3 shows that Section 316(b)
facilities in Other Industries are predominantly owned by large firms. Overall, 19 facilities (86 percent) are
owned by large firms, and 3 facilities (14 percent) are owned by small firms.
Table B2F-3: Number of Sampled Section 316(b) Facilities in Other Industries by Firm Size
Large
Small
Total
Other Industries
19
22
Source: U.S. EPA, 2000; U.S. SBA, 2000; D&B, 2001.
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2F: Facilities in Other Industries
REFERENCES
Dun and Bradstreet (D&B). 2001. Data extracted from D&B Webspectrum August 2001.
Executive Office of the President. 1987. Office of Management and Budget. Standard Industrial Classification
Manual.
U.S. Environmental Protection Agency (U.S. EPA) 2000. Detailed Industry Questionnaire: Phase II Cooling
Water Intake Structures.
U.S. Small Business Administration (U.S. SBA). 2000. Small Business Size Standards. 13 CFR section 121.201.
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2: Glossary
GLOSSARY
Capital expenditures: As reported in the Economic Censuses, reflects permanent additions and major
alterations, as well as replacements and additions to capacity, for which depreciation, depletion, or Office of
Minerals Exploration accounts are ordinarily maintained. Reported capital expenditures include work done on
contract, as well as by the mine forces. Totals for expenditures include the costs of assets leased from other
concerns through capital leases. Excluded are expenditures for land and cost of maintenance and repairs charged
as current operating expenses. Also excluded are capital expenditures for mineral land and rights which are
shown as a separate item.
Capacity utilization: Indicates the extent to which plant capacity is being used and shows potential excess or
insufficient capacity. This profile reports capacity utilization as published by the U.S. Bureau of Census in the
Survey of Plant Capacity published in the Current Industrial Reports. The utilization rate is equal to an output
index divided by a capacity index. Output is measured by seasonally adjusted indexes of industrial production,
and is based on actual output in 1992. The capacity indexes attempt to capture the concept of sustainable
practical capacity, which is defined as the greatest level of output that a plant can maintain within the framework
of a realistic work schedule, taking account of normal downtime, and assuming sufficient availability of inputs to
operate the machinery and equipment in place.
Concentration ratio: The combined percentage of total industry output accounted for by the largest producers
in the industry. For example, the four-firm concentration ratio (CR4) refers to the market share of the four largest
firms. The higher the concentration ratio, the more concentrated the industry. A market is generally considered
highly concentrated if the CR4 is greater than 50 percent.
Coverage ratio: The ratio of primary products shipped by the establishments classified in the industry to the
total shipments of such products that are shipped by all manufacturing establishments, wherever classified. An
industry with a high coverage ratio accounts for most of the value of shipments of its primary products, whereas
an industry with a low coverage ratio produces a smaller portion of the total value of shipments of its primary
products produced by all sources.
Employment: Total number of full-time equivalent employees, including production workers and non-
production workers.
Export dependence: The share of shipments by domestic producers that is exported; calculated by dividing the
value of exports by the value of domestic shipments.
Herfindahl-Hirschman index (HHI): An alternative measure of concentration. Equal to the sum of the
squares of the market shares for the largest 50 firms in the industry. The higher the index, the more concentrated
the industry. The Department of Justice uses the HHI for antitrust enforcement purposes. The benchmark used
by DOJ is 1,000, where any industry with an HHI less than 1,000 is considered to be unconcentrated. The
advantage of the HHI over the concentration ratio is that the former gives information about the dispersion of
market share among all the firms in the industry, not just the largest firms (Arnold, 1989).
Import penetration: The share of all consumption in the U.S. that is provided by imports; calculated by
dividing imports by reported or apparent domestic consumption (the latter calculated as domestic value of
shipments minus exports plus imports).
Labor productivity: Amount of output produced per unit of labor input on average. Calculated in this profile as
real value added divided by production hours. This measure indicates how an industry uses labor as an input in
the production process. Changes over time in labor productivity may reflect changes in the relative use of labor
versus other inputs to produce output, due to technological changes or cost-cutting efforts. Changing patterns of
labor utilization relative to output are particularly important in understanding how regulatory requirements may
translate into job losses, both in aggregate and at the community level.
B2Glos-l
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities B2: Glossary
Nominal values: Dollar values expressed in current dollars.
Operating margin: Measure of the relationship between input costs and the value of production, as an indicator
of financial performance and condition. Everything else being equal, industries and firms with lower operating
margins will generally have less flexibility to absorb the costs associated with a regulation than those with higher
operating margins. Operating margins were calculated in this profile by subtracting the cost of materials and total
payroll from the value of shipments. Operating margin is only an approximate measure of profitability, since it
does not consider capital costs and other costs. It is used to examine trends in revenues compared with production
costs within an industry; it should not be used for cross-industry comparisons of financial performance.
Primary product shipments: An establishment is classified in a particular industry (4-digit SIC codes) if its
shipments of the primary products of that industry exceed in value its shipments of the products of any other
single industry. An establishment's primary product shipments are those products considered primary to its
industry.
Producer production indexes (PPI): A family of indexes that measures the average change over time in
selling prices received by domestic producers of goods and services (Bureau of Labor Statistics, PPI Overview).
Used in this profile to convert nominal values into real 1997 dollar values.
Real values: Nominal values normalized using a price index to express values in a single year's dollars.
Removes the effects of price inflation when evaluating trends in dollar measures.
Secondary product shipments: An establishment's products that are considered secondary to the industry in
which the establishment is classified and primary to other industries. For example, a petroleum refinery classified
in SIC code 2911 would produce petroleum products as primary products, but might produce organic chemicals as
secondary products.
Value added: A measure of manufacturing activity, derived by subtracting the cost of purchased inputs
(materials, supplies, containers, fuel, purchased electricity, contract work, and contract labor) from the value of
shipments (products manufactured plus receipts for services rendered), and adjusted by the addition of value
added by merchandising operations (i.e., the difference between the sales value and the cost of merchandise sold
without further manufacture, processing, or assembly) plus the net change in finished goods and work-in-process
between the beginning-and end-of-year inventories. Value added avoids the duplication in value of shipments as
a measure of economic activity that results from the use of products of some establishments as materials by
others. Value added is considered to be the best value measure available for comparing the relative economic
importance of manufacturing among industries and geographic areas.
Value of shipments: Net selling values of all products shipped as well as miscellaneous receipts. Includes all
items made by or for an establishments from materials owned by it, whether sold, transferred to other plants of the
same company, or shipped on consignment. Value of shipments is a measure of the dollar value of production,
and is often used as a proxy for revenues. This profile uses value of shipments to indicate the size of a market and
how the size differs from year to year, and to calculate operating margins.
B2Glos-2
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
Chapter B3: Economic Impact Analysis for
Manufacturers
CHAPTER CONTENTS
B3-1
B3-2
Data Sources B3-3
Methodology B3-3
B3-2.1 Market-Level Impacts B3-5
B3-2.2 Impact Measures B3-5
Results B3-15
B3-3.1 Baseline Closures B3-15
Number of Facilities with Regulatory
Requirements B3-16
Post-Compliance Impacts B3-17
Compliance Costs B3-17
Summary of Facility Impacts . . . B3-18
Firm Impacts B3-19
Glossary B3-21
Abbreviations B3-22
References B3-23
Appendices B3A-i
B3-3.2
B3-3.3
B3-3.4
B3-3.5
B3-3.6
INTRODUCTION
This chapter assesses the expected economic effect of
the proposed section 316(b) Regulation for Phase III
Facilities on the Manufacturers that would be subject to
national categorical requirements under the proposed
regulation. The analysis focuses on impacts in five key
manufacturing industries - Paper, Chemicals,
Petroleum, Aluminum, Steel (the "Primary
Manufacturing Industries") - in which a substantial
number of facilities are expected to be subject to the
proposed regulation. EPA's analysis of the regulation's
expected impact in these industries is based on a
statistically valid sample survey of facilities in these
five industries. The sample survey indicates that the
regulation would potentially subject as many as 532
facilities in the Primary Manufacturing Industries1 to
national requirements.
This chapter also considers the effect of the regulation on facilities in other industries ("Other Industries") that are
expected to be within the scope of the regulation. The facility impact analysis for Other Industries is restricted to
a sample of 22 facilities for which EPA received surveys, but which are not part of the statistically valid sample.
As a result, EPA's analysis for the Other Industries group is limited to these known facilities. EPA has not
estimated the number of facilities in the Other Industries group that may be subject to the regulation because EPA
does not believe that this number can be reliably extrapolated from the sample of known facilities in this group.
However, because the statistically valid survey group of six industries (i.e., for the five Primary Manufacturing
Industries and Electric Generators) reflects 99% of total cooling water withdrawals, EPA believes that few
additional facilities in the Other Industries group are potentially subject to the proposed regulation.
Although EPA was able to undertake impact analysis for the Other Industries group using only the sample of
known facilities for this group, EPA believes that its analysis for the Other Industries group provides a sufficient
basis for regulation development. EPA's review of the engineering characteristics of cooling water intake and use
in the Other Industries group indicates that cooling water intake and use in these industries do not differ
materially from cooling water intake and use in the electric power industry and the Primary Manufacturing
Industries. In addition, EPA specifically analyzed the economic impacts of the three proposed options on the 22
sample facilities in the Other Industries group and found no economic impact of the proposed options on these
facilities. For these reasons, EPA believes that its findings of no economic impact to the known facilities in the
Other Industries group, and thus the practicability of the three proposed options, are generally applicable to the
full breadth of industries, including the Other Industries group, within the regulation's scope.
Based on the sum of the sample-weighted estimate of 532 facilities in the Primary Manufacturing Industries and
the 22 known facilities in the Other Industries group, EPA included a total of 554 potentially regulated facilities
1 EPA applied sample weights to 199 sample facilities to account for non-sampled facilities and facilities that did not respond to the
survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer to the Information Collection Request (U.S.
EPA, 1999a).
B3-1
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
in the economic impact analysis for the Manufacturers segment. The total number of Manufacturers segment
facilities considered in the economic impact analysis (554) differs from the number of facilities potentially subject
to regulation (566), as reported in Chapter Al. EPA determined that the survey responses of 14 sample facilities
lacked certain financial data needed for the facility impact analysis while containing sufficient data to support
estimates of facility counts and compliance costs. EPA therefore retained these sample facilities (37 sample
weighted facilities) in the analyses to estimate the total number of Manufacturers facility potentially subject to
regulation but excluded them from the economic impact analysis. When these sample facilities were excluded
from the impact analysis, the sample weights for remaining facilities within the affected sample frames were
adjusted upwards to account for their removal. The difference in the reported facility totals in the impact and
social cost analyses reflects the removal of these 14 facilities and the use of adjusted sample weights. The
removal of specific sample facilities from the analysis universe and simultaneous adjustment of sample weights to
account for their removal yields the same estimate of the total combined population of Manufacturers and Electric
Generators for the analysis. However, as a result of the sample stratification methodology, the estimates of the
total facility populations for Manufacturers only differ slightly between the two sample facility cases. Both
values are valid statistical estimates of the same, but unknown, value of the Manufacturers facility population.
EPA undertook the economic impact analysis to aid in assessing the economic achievability of alternative
regulatory options and, on the basis of that assessment, to aid in defining the proposed regulation. Measures of
economic impact include facility closures and associated losses in employment, financial stress short of closure
("moderate impacts"), and firm-level impacts. Severe impacts are facility closures and the associated losses in
jobs at facilities that close due to the regulation. EPA also assessed moderate economic impacts to support its
evaluation of regulatory options and to understand better the regulation's economic impacts. Moderate impacts
are adverse changes in a facility's financial position that are not threatening to its short-term viability. The firm
impact analysis assesses whether firms that own multiple facilities are likely to incur more significant impacts
than indicated by the facility impact analysis. Impacts may be more significant at the firm level than at the
facility level if a firm owns a number of facilities that incur significant cost. In addition, a firm-level analysis is
needed to assess impacts on small businesses, as required by the Regulatory Flexibility Act and SBREFA. Other
chapters consider the impacts on small entities (Chapter Dl: Regulatory Flexibility Analysis) and impacts on
governments (Chapter D2: UMRA Analysis).
This chapter presents the impact analysis results for the three proposed options: the "50 MOD for All
Waterbodies" option ("50 MOD All"), the "200 MOD for All Waterbodies" option ("200 MOD All"), and the
"100 MOD for Certain Waterbodies" Option ("100 MOD CWB"). These options differ with regard to (1) their
design intake flow (DIP) applicability thresholds (50, 100, and 200 MGD, respectively); and (2) the type of
waterbodies to which they would apply (the options with the 50 and 200 MGD applicability thresholds would
apply to all waterbody types while the 100 MGD applicability threshold option would apply only to certain
waterbody types - an ocean, estuary, tidal river/stream, or one of the Great Lakes). Facilities meeting these
applicability criteria would be required to meet similar requirements to those required in the final Phase II
regulation, including a 80-95% reduction in impingement mortality and a 60-90% reduction in entrainment.
Facilities not meeting these criteria would continue to be subject to 316(b) requirements established by permit
writers based on their Best Professional Judgment (BPJ). As a result, the number of facilities required to meet the
national categorical requirements would vary under each of the three proposed options. Of the three options
presented here, the 100 MGD for Certain Waterbodies Option would subject the smallest number of facilities to
national categorical requirements, with the 200 MGD for All Waterbodies Option and 50 MGD for All
Waterbodies Option subjecting successively larger numbers of facilities to national requirements.
As outlined in Chapter Al: Introduction, EPA considered several additional regulatory options based on varying
flow regimes and waterbody types, in arriving at the proposed options. Summary results for five additional
options can be found in Appendix 1 to this chapter.
This chapter describes the methodology used to assess economic impacts for the Manufacturers facilities, and
presents the results of the analyses.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
B3-1 DATA SOURCES
The economic impact analyses rely on data provided in the financial portion of the detailed questionnaires
distributed by EPA to facilities potentially subject to the Phase III regulation under the authority of Section 308 of
the Clean Water Act. The survey financial data included facility and parent firm income statements and balance
sheets for the three years 1996, 1997, and 1998.
In addition to the survey data, a number of secondary sources were used to characterize economic and financial
conditions in the industries subject to the proposed Phase III regulation. Secondary sources used in the analyses
include:
*• Department of Commerce economic census and survey data, including the Census of Manufactures,
Annual Surveys of Manufactures, and international trade data;
*• U.S. Industry and Trade Outlook, published by McGraw-Hill and the U.S. Department of Commerce;
*• Value Line Investment Survey;
*• Annual Statement Studies, published by Risk Management Association (RMA); and
*• Statistics of U.S. Businesses (SUSB).
B3-2 METHODOLOGY
The impact analysis starts with compliance cost estimates from the EPA engineering analysis and then calculates
how these compliance costs would affect the financial condition of Section 316(b) Manufacturers. EPA included
the following compliance cost categories in this analysis: capital cost, annual operating and maintenance
cost, administrative cost, and the loss of business income from potential shutdown of facilities during installation
of compliance equipment2. Of these cost categories, only operating and maintenance and certain administrative
costs recur annually. The remaining costs occur only once at the beginning of compliance or on a multi-year
interval over the period of the compliance analysis. Some of the impact analyses require combining the annually
recurring and non-recurring costs into a single, annual equivalent value. For combining the annually recurring
and non-recurring costs in this analysis, EPA calculated the annual equivalent cost of the non-recurring cost
categories and added these annualized costs to the annually recurring operating and maintenance cost.
To derive the constant annual value of the non-annual costs, EPA annualized each cost component over the
component's estimated useful life, using a 7.0% discount rate. The cost of compliance equipment, which includes
fine-mesh traveling screens, with and without fish handling, and fish handling and return systems, was annualized
over 10 years; initial permitting cost and the income loss from installation shutdown were annualized over 30
years; and repermitting cost was annualized over 5 years3. For more information on the compliance cost
components developed for this analysis, see Chapter Bl: Summary of Cost Categories and Key Analysis Elements
for Existing Facilities and the § 316(b) Technical Development Document (U.S. EPA, 2004).
2 See Appendix 2 to Chapter B3 for details of the downtime cost calculation.
3 The annualization approach used for the facility impact analysis differs from that used to develop the social cost estimate presented
in Chapter Bl: Summary of Cost Categories and Key Analysis Elements for Existing Facilities. For the analysis of the social cost of the
proposed regulation, the present value of total cost and the constant annual equivalent to that present value (annualized cost) were
calculated as of the expected effectiveness date of the final regulation for Phase III facilities, beginning of year 2007. In contrast, for the
impact analysis, the present value and annualized value of compliance cost were determined as of the first year of compliance of each
facility (for this analysis, assumed to be 2010 to 2014).
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
As discussed in Chapter Bl: Summary of Cost Categories and Key Analysis Elements for Existing Facilities, the
various economic information used in this analysis were initially provided in dollars of different years. For
example, facility financial data obtained in the 316(b) survey for Manufacturers are for the years 1996, 1997, and
1998, while the technology costs of regulatory compliance were estimated in dollars of the year 2002. To support
a consistent analysis using these data that were initially developed in dollars of different years, EPA needed to
bring the dollar values to a common analysis year. For this analysis, EPA adjusted all dollar values to constant
dollars of the year 2003 (average or mid-year, depending on data availability) using an appropriate inflation
adjustment index. For adjusting compliance costs, EPA used the Construction Cost Index (CCI) published
by the Engineering News-Record. For financial statement information, EPA used the Gross Domestic
Product Implicit Price Deflator (GDP Deflator) to bring dollar values to 2003. The values used to adjust
the dollar values to constant dollars can be found in Chapter B1.
For the impact analysis, EPA first eliminated from analysis those facilities showing materially inadequate
financial performance in the baseline, that is, in the absence of the regulation. EPA judged these facilities, which
are referred to as baseline closures, to be at substantial risk of financial failure regardless of any financial
impacts of the 316(b) regulation. Second, for the remaining facilities, EPA evaluated how compliance costs
would likely affect facility financial health. A facility is identified as a regulatory closure if it would have
operated under baseline conditions but would fall below an acceptable financial performance level when subject
to the new regulatory requirements.
EPA's analysis also identified facilities that would likely incur moderate impacts from compliance with the
regulation. EPA anticipates that these facilities would experience moderate deterioration of financial performance
but not at a level sufficient to cause the facility to fail financially. The test of moderate impacts examined two
financial ratios - pre-tax return on assets and interest coverage ratio - calculated on a baseline and
post-compliance basis. Incremental moderate impacts are attributed to the regulation if both financial ratios
exceeded threshold values in the baseline (i.e., no moderate impacts in the baseline), but at least one financial
ratio fell below the threshold value in the post-compliance case.
For the assessment of firm-level effects, EPA compared annualized after-tax compliance cost to firm revenue and
reports the estimated number and percentage of firms incurring compliance cost in three cost-to-revenue ranges:
less than 1.0%; at least 1.0% but less than 3.0%; and 3.0% or greater. Although EPA's sample-based data support
specific estimates of the number of facilities, these data do not support a specific estimate of the number of
entities that own these facilities. As a result, EPA estimated the number of entities owning facilities in the
manufacturing industries as a range, based on alternative assumptions about the potential ownership of regulated
facilities. In its comparison of compliance cost to firm revenue, EPA also used this same range concept, which
yields approximate upper and lower bound estimates of the value of compliance cost that might be incurred by an
entity, based on the number of regulated facilities that it owns.
Key steps in the facility- and firm-level impact methodologies are described in the following discussions. In
addition, seven appendixes to this chapter provide detail of specific aspects of the impact analysis methodologies.
B3-2.1 Market-Level Impacts
Increased cost from the regulation may affect industry-level prices and output. In some instances, facilities
incurring compliance costs may be able to pass part of these costs through to customers as price increases and
thus reduce the compliance cost burden borne directly by complying facilities. On the basis of analysis presented
in Appendix 3 to Chapter B3 and the findings from the industry profile analyses as discussed in the preceding
chapter, Chapter B2: Profile of Manufacturers, EPA determined that an assumption of zero COSf pass-through
is appropriate for its analysis of the effect of the 316(b) regulation on manufacturing industries. The assumption
of zero cost pass-through is conservative in that the analysis assumes that facilities must bear all compliance costs
within baseline cash flow. Because facilities may be able to pass compliance costs through to consumers in some
markets, this assumption may overstate impacts to affected facilities and understate the ability of facilities to
withstand the cost of 316(b) regulatory compliance without material financial impact.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
B3-2.2 Impact Measures
a. Test of Severe Impacts
The analysis of severe impacts estimates the number of facilities that could potentially close due to the regulation.
EPA predicted that a facility would close if compliance costs cause the facility's overall financial performance and
resulting implied financial value to fall below a specified threshold level.
The assessment of severe impacts for 316(b) manufacturing facilities is based on the change in the facility's
estimated business value, as determined from a discounted present value analysis of baseline cash flow and the
change in cash flow resulting from regulatory compliance. If the estimated discounted cash flow value of the
facility is positive before considering the effects of regulatory compliance but becomes negative as a result of
compliance outlays, then the facility is considered a regulatory closure. In this impact test, the estimated ongoing
business value of the facility is compared with a threshold value of zero for the closure decision: as long as the
discounted cash flow value of the facility is greater than zero, the business is earning its cost of invested capital
and continuation of the business is warranted. If the discounted cash flow value of the facility is less than zero in
the baseline or becomes less than zero as a result of compliance outlays, then the business would not earn its cost
of invested capital and the business owners would be better off financially by terminating the business. As noted
in earlier discussion, facilities for which EPA estimated a negative baseline value were considered baseline
closures and were not tested for additional adverse impacts from regulatory compliance.
In an alternative, theoretically more accurate, formulation of this concept, business owners would compare the
discounted cash flow value of the facility with the value that the facility's assets would bring in liquidation. In
this case, the estimated ongoing business value would be compared with a value that may be different from zero:
liquidation value could be positive or negative. When liquidation value is positive, business owners might
benefit financially by terminating a business and seeking its liquidation value even when the ongoing business
value is positive but less than the estimated liquidation value. With negative liquidation value - which generally
would result from business termination liabilities (e.g., site clean-up) - the opposite result could occur: business
owners may find it financially advantageous to remain in business even though the business earns less than its
cost of invested capital, if the liquidation value of the business is "more negative", and thus less in value, than the
ongoing business based on the discounted cash flow analysis. EPA attempted to implement this alternative
impact test formulation. EPA judges that the liquidation value estimates are substantially speculative and subject
to considerable error. For these reasons, EPA decided against using liquidation value for comparison with
ongoing business value in the closure test.
The cash flow concept used in calculating ongoing business value for the closure analysis is free cash flow
available to all capital. Free cash flow is the cash available to the providers of capital - both equity owners and
creditors - on an after-tax basis from business operations, and takes into account the cash required for ongoing
replacement of the facility's capital equipment. Free cash flow is discounted at an estimated after-tax total cost
of capital to yield the estimated business value of the facility. Details of the calculation of free cash flow and
the discounting office cash flow to yield the facility's estimated value are explained in the following sections.
»»» Calculation of Baseline Free Cash Flow and Performance of Baseline Closure Test
Calculation of baseline free cash flow and performance of the baseline closure test involved the following steps:
1. Average survey income statement data over response years and convert to mid-year 2003 dollars: EPA first
adjusted facility income statement data for 1996, 1997, and 1998 to the year 1998, using the GDP Deflator.
These data were then averaged over the months and/or years for which survey respondents reported data to
develop an annual average income statement in 1998 constant dollars. For example, if a facility reported
income statement data for 1996, 1997, and 1998, then a simple average was calculated for the three reported
years. The annual average income statement in 1998 was then brought forward from 1998 to 2003, again
using the GDP Deflator.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
2. Calculate after-tax income excluding the effects of financial structure: The questionnaire responses include a
calculation of after-tax income in accord with conventional accounting principles. However, this calculation
reflects the financial structure of the business, which may include debt financing and thus interest charges
against income. Because the cash flow concept to be discounted in the business value analysis is cash flow
available to all capital, it is necessary to restate after-tax income to exclude the effects of debt financing, or on
a be fore -interest basis. This restatement involves: (1) increasing after-tax income by the amount of interest
charges and (2) increasing taxes (and thereby reducing after-tax income) by the amount of tax reduction
provided by interest deductibility. This adjustment amounts to adding tax-adjusted interest expense to after-
tax income and yields an estimate of after-tax income independent of capital structure or financing effects. In
calculating the tax adjustment for interest, EPA used a combined federal/state corporate income tax rate. For
this calculation, EPA used a tax rate that integrates the federal corporate income tax rate (35%) and state-
specific state corporate income tax rates, based on facility location.
The combined federal/state corporate income tax rate was calculated as follows:
T = TS + TF-(TS* TF) (B3-1)
where:
T = estimated combined federal-state tax rate;
TS = state tax rate; and
TF = federal tax rate (35%).
After-tax income, before interest, was calculated as follows:
ATI-57 = ATI + I - ul or (B3-2)
where:
ATI-B/ = after-tax income before interest;
ATI = after-tax income from baseline financial statement;
I = interest charge from baseline financial statement; and
T = estimated combined federal-state tax rate.
3. Calculate after-tax, cash flow from operations, before interest, by adjusting income for non-cash charges: The
calculation of after-tax income may include a non-cash charge for depreciation (and potentially amortization).
To convert income to after-tax cash flow (A TCP) from operations, it is therefore necessary to add back
any depreciation charge to the calculation of after-tax income, before interest. Cash flow, before interest, was
calculated as follows:
ATCF-57 = ATI-57 +D (B3 -3a)
where:
ATCF-B/ = after-tax cash flow before interest;
ATI-B/ = after-tax income before interest; and
D = baseline depreciation.
As a final step in the calculation of after-tax cash flow before interest, EPA eliminated the implied cash flow
benefit of any negative taxes, as reported in the facility's income statement and after adjustment for removal of
interest. That is, in these calculations, negative taxes increase after-tax income and cash flow, and thus appear to
improve the financial performance and value of the facility in terms of cash flow from operations. However,
whether and when the implied cash flow benefit of negative taxes can be realized depends on the overall
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
profitability and tax circumstances of the total enterprise, including any other facilities owned by the same firm,
and the extent of profitability in periods before or after the survey data periods. To be conservative in this
analysis, EPA therefore assumed that a facility would not receive the implied cash flow benefit from negative
taxes - negative taxes, after adjustment for interest, were set to zero in the baseline analysis. This assumption is
consistent with a later step in the post-compliance analysis in which EPA limited the cash flow benefit of tax
deductions on compliance outlays not to exceed the amount of taxes paid as reported in the baseline income
statement (and adjusted for interest). In theory, the application of this limit could cause some facilities that would
otherwise pass the baseline closure analysis, instead to fail the analysis if the reported amount of negative tax,
after adjustment for interest, would be sufficient to offset the negative cash flow from operations independent of
taxes. In practice, though this limitation did not affect the findings of the baseline closure analysis.
4. Adjust after-tax cashflow to reflect estimated real change in business performance from the time of survey
data collection to the present: EPA adjusted facility baseline cash flow to reflect the estimated real change
(i.e., independent of inflation) in business performance in the manufacturing industries from the time of the
facility survey, 1996-1998, to the present. This adjustment is intended to address two potential concerns that
could lead to biased findings from the regulatory impact assessment:
• First, EPA was concerned that facility survey data might have been collected during a period that deviated
cyclically from the longer-term trend of business performance for the 316(b) manufacturing industries.
Given the knowledge that U.S. business conditions during the latter half of the 1990s were cyclically
strong, EPA was particularly concerned that business conditions during the 316(b) survey period
(1996-1998) might be abnormally favorable for some of the five Primary Manufacturing Industries. In
this case, the business performance and valuation measures, based on survey data, used to assess the
burden of regulatory compliance costs might overstate industry's ability to bear these costs and therefore
understate the potential impact of the proposed regulation.
• Second, apart from the issue of short-term deviation from trend caused by a cyclically strong economy,
EPA was also aware from its profile analyses that some of the industries might be experiencing a
longer-term trend of deteriorating performance. Using sample facility data that don't reflect such possible
trends would again potentially overstate industry's ability to bear compliance costs and therefore
understate the potential impact of the proposed regulation.
To calculate the adjustment factor, EPA collected data on after-tax cash flow for public firms in the 316(b)
manufacturing industry sectors over a 12-year period and developed adjustment factors by industry and/or
key industry segment (details of this analysis are contained in Appendix 4 to Chapter B3). Adjusted after-tax
cash flow is calculated as follows:
ATCF-5/ADj = ATCF-57 * Adj (B3 -3b)
where:
ATCF-5/ADJ = after-tax cash flow before interest adjusted to reflect the real change in business
performance; a
ATCF-B/ = after-tax cash flow before interest; and
Adj = adjustment factor to reflect the real change in business performance.
5. Calculate free cashflow by adjusting after-tax cashflow from operations for ongoing capital equipment
outlays: The measure of after-tax cash flow from the previous step, cash flow from operations, reflects the
cash receipts and outlays from ordinary business operations, but includes no allowance for replacement of the
facility's existing capital equipment. To sustain ongoing operations, however, a business must expend cash
for capital replacement. Accordingly, to understand the true cash flow of a business and thus provide a
conceptually valid cash flow measure for business valuation, it is necessary to reduce cash flow from
operations by an allowance for capital replacement. For the calculation office cash flow, EPA estimated
baseline capital outlays from a regression analysis of capital expenditures by public firms in the 316(b)
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
industry sectors over an 11-year period (details of this analysis and estimation framework are contained in
Appendix 5 to Chapter B3). Free cash flow is calculated as follows:
FCF = ATCF-5/ADj - CAPEX (B3-3b)
where:
FCF = free cash flow
ATCF-B/Auj = after-tax cash flow before interest adjusted to reflect the real change in business performance;
and
CAPEX = estimated baseline capital outlays.
Or on a more detailed accounting statement basis:
FCF = REV - TC - T - T! - CAPEX (B3-3c)
where:
FCF = free cash flow
REV = revenue
TC = total operating costs, excluding interest, depreciation, and taxes
T = baseline income tax
T = estimated combined federal-state tax rate;
I = interest charge from baseline financial statement;
T! = the increase in tax liability resulting from calculating income on a pre-interest basis; and
CAPEX = estimated annual baseline capital outlays.
This calculation of free cash flow is based on a static representation of a facility's business. With the
exception of bringing estimated cash flow forward from the time of the survey, 1996-1998, to approximately
the present, 2003, the facility impact analysis assumes, in effect, that the facility's business will continue in
the future - absent the effects of regulation - exactly as reflected in the baseline financial statements provided
in the survey questionnaire
6. Calculate baseline facility value as the present value of free cashflow over a 10-year analysis horizon: To
calculate baseline business value, EPA discounted free cash flow over a 10-year period at an estimated real
(i.e., excluding the effects of inflation), after-tax cost of capital of 7.0%. The use of 10 years as the
discounting horizon reflects the expected useful life of capital equipment to be installed for 316(b) regulation
compliance. Facility baseline business value is calculated as follows:
VALUE
FCF (B3-4)
t=oO + CoCV
where:
VALUE = estimated baseline business value of the facility
FCF = free cash flow
CoC = after-tax cost-of-capital (7.0%); and
t = year index, t = 0-9 (10-year discounting horizon).
In the present value calculation, yearly cash flows accrue at the beginning of the year. As a result, the first
year of cash flows is not discounted - i.e., t = 0 for the first year of the analysis - and cash flows in the tenth
and final year of the analysis period are discounted over a 9-year period - i.e., t = 9 in the final year of the
analysis.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
As explained above, EPA considered a facility to be a baseline closure if its estimated business value was
negative before incurring regulatory compliance costs. Baseline closures were neither tested for adverse impact in
the post-compliance impact analysis nor were their compliance costs included in the tally of total costs of 316(b)
regulatory compliance.
»»» Calculation of Post-Compliance Free Cash Flow and Performance of Post-Compliance Closure Test
For the post-compliance closure analysis, EPA recalculated annual free cash flow, accounting for changes in
annual expenses and taxes that are estimated to result from compliance-related outlays. EPA combined the post-
compliance free cash flow value and the estimated compliance capital outlay in the present value framework to
calculate business value on a post-compliance basis.
Calculation of post-compliance free cash flow and performance of the post-compliance closure test involved the
following steps:
1. Adjust baseline annual free cashflow to reflect compliance expense effects: Compliance-related effects on
annual free cash flow include: annually recurring operating and maintenance costs; the annual equivalent of
permitting and repermitting costs, which recur on other than an annual basis over the life of the analysis; the
annual equivalent of the income loss from installation downtime (see Appendix 2); and related changes in
taxes4. The change in taxes includes: (1) the tax effect of these annually recurring and annualized expenses
and (2) the tax effect from depreciation of initial compliance outlays. For calculating the tax effect of
depreciation, EPA assumed that compliance capital outlays would be depreciated for tax purposes on a 10-
year straight-line schedule. Post-compliance free cash flow was calculated as follows:
FCFPC = FCFBL - ATC - T(- ATC - AD) (B3-5)
where:
FCFPC = post-compliance free cash flow;
FCFBL = baseline free cash flow, as calculated above;
ATC = change in total facility annual costs (excluding interest, depreciation and taxes), calculated as the
cost of operating and maintaining compliance equivalent plus the annual equivalent of certain
non-annual costs, as described above;
T = marginal tax rate for calculating compliance-related tax effects (combined federal-state tax rate);
and
AD = change in depreciation expense, calculated as compliance capital outlay (CC) divided by 10.
2. Limit tax adjustment to not exceed taxes as reported in baseline financial statement: The tax effect of
compliance outlays is to reduce tax liability. As a result, in the free cash flow calculation, the tax adjustment
generally increases cash flow and business value and, all else equal, reduces the likelihood that a facility will
fail the post-compliance closure test. However, the extent to which a facility would realize this contribution
to cash flow depends on its tax circumstances. In particular, some businesses may not be paying sufficient
taxes in the baseline to take full benefit of the implied tax reduction at the facility level - unless the unused
tax loss can be transferred to other, profitable business units in the firm, these businesses would not be able to
use fully the implied tax reduction on a current basis. Also, the marginal tax rate for businesses with
relatively lower pre-tax income may be less than the combined Federal/State tax rate used in the analysis.
4 For the facility cash flow analysis, EPA treated the income loss from installation downtime on an annual equivalent basis even
though this financial event occurs only once, and at the beginning of the assumed analysis period. EPA treated the installation downtime
on an annualized basis for two reasons. First, the installation downtime is assumed to have a useful "financial life" of 30 years to reflect
the total potential business life of the facility (note that reinstallation of the basic capital equipment, which is assumed to recur on a 10-year
interval, does not require a new round of downtime). Since compliance capital equipment is assumed to have a 10-year useful life and the
discounted cash flow analysis is accordingly structured as a 10-year analysis, including the income loss from installation downtime (which
is assumed to have a 30-year useful life) as a one-time up-front cost would overstate its impact in the discounted cash flow calculation.
Second, calculation of the downtime cost on an annual basis allows the tax effect from the one-time income loss to be summed with other
annual tax effects for applying the limit to tax offsets, as explained in the next step of the analysis.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
While businesses may be able to carry forward tax losses to reduce taxes in later years, EPA recognizes that
the implied cash flow benefit from tax reduction may not be fully realized, particularly in circumstances
involving single -facility firms. To be conservative in its analysis, EPA therefore limited the amount of tax
reduction from compliance outlays to be no greater than the amount of tax paid by facilities as reported in the
baseline financial statement. The analysis effectively assumes that facilities will not be able to offset an
implicit negative tax liability against positive tax liability elsewhere in the owning firm's operations or to
carry forward (or back) the negative income and its implicit negative tax liability to other positive
income/positive tax liability operating periods. On average, this approach overstates impacts on facilities,
because some businesses may be able to benefit from tax reductions that exceed facility baseline taxes,
especially if the facility is owned by a multiple-site firm. Accordingly, EPA constrained the tax effect term in
the free cash flow calculation, [-T( - ATC - AD)] as specified above, to be no greater than baseline financial
statement tax liability, T.
3. Calculate post-compliance facility value, including post-compliance free cashflow and the compliance
capital outlay: As in the baseline analysis, EPA calculated post-compliance facility value as the present value
office cash flow and accounting for the compliance capital outlay as an undiscounted cash outlay in the first
analysis period. Facility post-compliance business value was calculated as follows:
VALUEPC = £ - CC
t=o(i + cocy
where:
VALUEPC = estimated post-compliance business value of the facility
FCFPC = estimated post-compliance free cash flow
CoC = after-tax cost-of-capital (7.0%);
t = year index, t = 0-9 (10-year discounting horizon); and
CC = compliance capital outlay.
EPA considered a facility to be a post-compliance closure if its estimated business value was positive in the
baseline but became negative after adjusting for compliance-related cost, revenue and tax effects. In addition to
tallying closure impacts in terms of the number of estimated facility closures, EPA also measured the significance
of closures in terms of losses in employment and output. Employment losses equal the number of employees
reported by closure facilities in survey responses; output losses equal total revenue reported for regulatory closure
facilities. EPA estimated national results by multiplying facility results by facility sample weights.5
b. Test of Moderate Impacts
EPA also conducted an analysis of financial stress short of closure to identify the regulation's moderate impacts.
Facilities incurring moderate impacts are not projected to close due to the proposed Section 3 16(b) regulation.
The regulation, however, might reduce their financial performance to the point where they incur greater difficulty
and higher costs in obtaining financing for future investments.
The analysis of moderate impacts examined two financial measures:
Pre-Tax Return on Assets (PTRA): ratio of pre-tax operating income - earnings before interest and
taxes (EBIT) - to assets. This ratio measures the operating performance and profitability of a business' assets
independent of financial structure and tax circumstances. PTRA is a comprehensive measure of a firm's
economic and financial performance. If a firm cannot sustain a competitive PTRA on a post-compliance
basis, it will likely face difficulty financing its investments, including the outlay for compliance equipment.
5 For the analysis of options presented in this chapter, none of these impact measures (e.g., employment loss, output loss) were in fact
relevant because none of the three primary presentation options resulted in regulatory closures.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
Interest Coverage Ratio (ICR): ratio of pre-tax operating cash flow - earnings before interest, taxes, and
depreciation (EBITDA) - to interest expense. This ratio measures the facility's ability to service its debt on
the basis of current, ongoing financial performance and to borrow for capital investments. Investors and
creditors will be concerned about a firm whose operating cash flow does not comfortably exceed its
contractual obligations. The greater the ICR, the greater the firm's ability to meet interest payments, and,
generally speaking, the greater the firm's credit-carrying ability. ICR also provides a measure of the amount
of cash flow available for equity after interest payments.
Creditors and equity investors review the above two measures as criteria to determine whether and under what
terms they will finance a business. PTRA and ICR also provide insight into a firm's ability to generate funds for
compliance investments from internally-generated equity, i.e., from after-tax cash flow. The measures are defined
as follows:
Pre-Tax Return on Assets
PTRA =
TA
(B3-7)
where:
PTRA = pre-tax return on assets,
EBIT = pre-tax operating income, or earnings before interest and taxes, and
TA = total assets.
Or, stated in terms of 316(b) income statement accounts,
(B3-8)
PTRA= REV
TA
where:
PTRA = pre-tax return on assets;
REV = revenue;
TC = total operating costs (excluding interest, taxes, and depreciation/amortization);
D = depreciation; and
TA = total assets.
Interest Coverage Ratio
ICR = EBITDA (B3-9)
I
where:
ICR = interest coverage ratio;
EBITDA = pre-tax operating cash flow, or earnings before interest, taxes, and depreciation (and
amortization) and
I = interest expense.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
Or, stated in terms of 316(b) income statement accounts,
ICR =
TC (B3-10)
I
where:
ICR = interest coverage ratio;
REV = revenue;
TC = total operating costs (excluding interest, taxes, and depreciation/amortization); and
I = interest expenses.
Including the effects of 3 16(b) compliance costs, post-compliance PTRA and ICR are:
(B3-11)
pTRA _ [REV - (TC + ATC + D + AD)]
pc (TA + CC)
(B3-12)
c [REV- (TC+ATC)]
pc (I + AI)
where:
PTRApc = pre-tax return on assets, post-compliance;
ICRpC = interest coverage ratio, post-compliance;
ATC = change in total facility operating costs (excluding interest, depreciation and taxes), calculated
as operating and maintenance costs of compliance;
AD = change in depreciation expense, calculated as compliance capital outlay (CC) divided by 10;
CC = compliance capital outlay (assuming all of the outlay would be capitalized and reported as an
addition to assets on the balance sheet); and
AI = incremental interest expense from financing of compliance capital outlay. As a simplifying,
conservative assumption, incremental interest expense is calculated assuming that the
compliance capital outlay is fully debt financed at the overall real cost-of-capital of 7.0%.
The annual incremental interest value is calculated as the annualized value of interest
payments over 10 years, assuming a constant annual payment of principal and interest.
In calculating the baseline values of the PTRA and ICR measures, EPA applied the same cash flow adjustments as
described above for the facility closure analysis, to the numerators of the PTRA and ICR measures. In the same
way as described for the facility closure analysis, these adjustments are intended to capture the change in the
financial performance of firms in the Primary Manufacturing Industries between the time of the 316(b) Phase III
survey and 2003 (see Appendix 4 to Chapter B3).
For evaluating 316(b) manufacturing facilities according to the moderate impact measures, EPA compared
baseline and post-compliance PTRA and ICR to 316(b) industry-specific thresholds that were developed from
data compiled by Risk Management Association, Inc. (RMA). RMA compiles and reports financial statement
information by industry as provided by member commercial lending institutions. The threshold values represent
the 25th percentile values of PTRA and ICR for statements received by RMA for the eight years from 1994 to
2001 within relevant industries. EPA developed 316(b) industry-level values by weighting and summing the
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
RMA industry values according to the definition of 316(b) industries6. Thresholds by sector ranged from 1.8% to
2.9% for PTRA and from 2.0 to 2.4 for ICR. Because the financial statements received by RMA are for
businesses applying for credit from member institutions, the data don't represent a random sample. In particular,
the RMA data likely exclude representation from the financially weakest businesses, which are unlikely to seek
financing from RMA member lending institutions. As a result, EPA views the threshold values as being relatively
conservative and likely to overstate the occurrence of moderate impacts.
Both measures are important to financial success and firms' ability to attract capital. Facilities failing at least one
of the moderate impact measures in the baseline were deemed to be already experiencing moderate financial
weakness and were not tested for additional financial impact in the moderate impact analysis. Facilities that
passed both moderate impact tests in the baseline but failed one or both threshold comparisons, post-compliance,
were considered to incur moderate financial impacts, short of closure, as a result of the proposed Section 316(b)
regulation.
c. Firm Level Impacts
The analysis of impact on firms builds on the facility impact analysis to assess whether firms that own multiple
facilities are likely to incur more significant impacts than indicated by the facility impact analysis. For the
assessment of firm-level effects, EPA calculated annualized after-tax compliance costs as a percentage of firm
revenue and reports the estimated number and percentage of affected firms incurring compliance costs in 3 cost-
to-revenue ranges: less than 1.0%; at least 1.0% but less than 3.0%; and 3.0% or greater.
EPA's sample-based facility analysis supports specific estimates of (1) the number of facilities expected to be
subject to the regulation and (2) the total compliance costs expected to be incurred in these facilities. However,
the sample-based analysis does not support specific estimates of the number of firms that own manufacturing
facilities. In addition and as a corollary, the sample-based analysis does not support specific estimates of the
number of regulated facilities that may be owned by a single firm, or of the total of compliance costs across
regulated facilities that may be owned by a single firm.
For the firm level analysis, EPA therefore considered two cases based on the sample weights developed from the
facility survey. These cases provide approximate upper and lower bound estimates on: (1) the number of firms
incurring compliance costs and (2) the costs incurred by any firm owning a regulated facility. The cases are as
follows:
Case 1: Upper bound estimate of number of firms owning facilities that face requirements under the
regulation; lower bound estimate of total compliance costs that a firm may incur.
For this case, EPA assumed (1) that a firm owns only the regulated sample facility(ies) that it is known to own
from the sample analysis and (2) that this pattern of ownership, observed for sampled facilities and their owning
firms, extends over the facility population represented by the sample facilities. This case minimizes the
possibility of multi-facility ownership by a single firm and thus maximizes the count of affected firms, but also
minimizes the potential cost burden to any single firm.
For each firm that owns one sample facility, no firm is assumed to own more than one regulated facility, and the
analysis is straightforward: the firm owns one regulated facility and incurs compliance costs only for that facility.
This configuration is assumed to exist as many as times as the facility's sample weight. However, EPA found that
28% of the firms identified as owning a sample facility, own more than one sample facility. Where the multiple
facilities owned by the same firm have the same sample weight, the analysis is also straightforward: the firm is
assumed to own and incur the compliance costs of the identified sample facilities, and the configuration is
assumed to exist as many times as many times as the uniform sample weight of the multiple facilities.
See Appendix 6 to Chapter B3 for details of moderate impact threshold development and sector-specific threshold values.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
In some instances, however, the sample facilities that are owned by the same firm have different sample weights.
In these cases, which required a more complex analysis, EPA accounted for the ownership of multiple sample
facilities by a single firm, but restricted the count of the multiple facilities and their configuration of ownership
for the firm-level cost analysis based on the sample weights of the individual sample facilities. Specifically, the
firm is assumed to exist on a sample-weighted basis as many times as the highest of the sample weights among the
sample facilities known to be owned by the firm. However, sample facilities with a smaller sample weight, and
their compliance costs, can be included in the total instances of ownership by the firm for only as many times as
their sample weights. Otherwise, the total facility count implied in the firm analysis would exceed the
sample-based estimated total of facilities; correspondingly, the total of compliance costs accounted for in the firm
level analysis would exceed the sample-based estimated total of facility compliance costs. For implementation,
this concept means that all of the sample facilities known to be owned by the same firm, and their compliance
costs, can be included in the ownership configuration for only as many sample weighted instances as the smallest
sample weight among the multiple facilities owned by the firm. Once the sample weight of the smallest sample
weight facility is "used up," a new multiple facility ownership is configured including only the costs for those
facilities with weights greater than the weight of the smallest sample weight facility. This configuration is
assumed to exist for as many sample weighted instances as the difference between the lowest sample weight and
the next higher sample weight among the facilities owned by the firm. This process is repeated - with successive
removal of the new lowest sample weight facility, and its compliance cost- as many times as necessary until only
the highest sample weight facility remains in the ownership configuration.
The survey asked respondents to provide firm-level revenue for the parent firm. For single-facility firms, firm
revenue and compliance costs are identical to those for the facility. For multi-facility firms, EPA grouped
together all facilities with a common parent firm from the surveys. For each firm in the analysis, firm-level
compliance cost is:
CCfirm=2JCCi (B3-13)
where:
CCfirm = firm-level compliance cost
CQ = compliance cost for the surveyed facility /', known to be owned by the firm
Case 2: Lower bound estimate of number of firms owning facilities that face requirements under the
regulation; upper bound estimate of total compliance costs that a firm may incur.
For this case, EPA inverted the prior assumption and assumed that any firm owning a regulated sample
facility(ies), owns the known sample facility(ies) and all of the sample weight associated with the sample
facility(ies). This case minimizes the count of affected firms, while tending to maximize the potential cost burden
to any single firm.
For this case, EPA grouped together all facilities with a common parent firm from the surveys and sample
weighted the facility compliance costs. EPA calculated the firm-level compliance cost as:
CCfirm = CCi X Wi (B3-13)
where:
CQirm = firm-level compliance cost
CQ = compliance cost for surveyed facility / owned by the firm
W; = sample weight for surveyed facility /' owned by the firm
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
As stated above, for the analysis of firm-level impacts, EPA calculated annualized after-tax compliance costs as a
percentage of firm revenue. EPA judged that firms with annualized after-tax compliance cost of less than 1.0% of
revenue would not be materially affected by the regulation. EPA identified firms as subject to potentially more
serious impacts if annualized compliance cost exceeded 3.0% of revenue.
B3-3 RESULTS
This section presents the results of the facility impact analysis. The first section presents the results of the
baseline closure analysis. The subsequent sections report the impact analysis results for the three proposed
options. Section B3-3.2 presents the number of facilities with regulatory requirements under the different options.
Section B3-3.3 discusses post-compliance closures. Section B3-3.4 presents the number of facilities with
moderate impacts by industry. Section B3-3.5 summarizes total annualized compliance costs on an after-tax basis
by option. Section B3-3.6 summarizes the estimated impacts by option, including facility impacts and total
annualized compliance costs on both a pre-tax and after-tax basis. Section B3-3.7 presents the results of the firm-
level analysis for the two analytic cases described above.
B3-3.1 Baseline Closures
Table B3-1 reports estimated baseline closures for facilities in the Primary Manufacturing Industries and the
additional known facilities in Other Industries. EPA determined that 76 facilities (or 14%) of the estimated 532
regulated facilities in the five Primary Manufacturing Industries have a negative business value before incurring
regulatory compliance costs. The highest percentages of baseline closures occur in the Steel industry sector
(43%) and Aluminum industry sector (33%). An additional four facilities (or 18%) of the 22 known facilities in
Other Industries are baseline closures. These facilities are projected to close in the baseline and are not
considered in the analysis of impacts attributable to the regulation.
Appendix 7 to Chapter B3 provides information on typical establishment closure rates in the 316(b) industries.
EPA compared the percentage of facilities assessed as baseline closures to typical establishment closure rates in
the five Primary Manufacturing Industries, as reported in Statistics of U.S. Businesses (SUSB). SUSB data
indicate that between 1.4% and 12.5% of all facilities in these industries, close annually. The percentage of
facilities assessed as baseline closures in the Steel and Aluminum industries is higher than the typical closure rates
in the industries. However, EPA based its analysis on survey data provided by the facilities and believes these
data and analysis provide an accurate representation of the financial condition of the facilities that would subject
to the Phase III regulation.
B3-15
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B3: Impact Analysis for Manufacturers
Sector
Paper
Chemicals
Petroleum
Steel
Aluminum
Total Facilities in Primary
Manufacturing Industries
Additional known facilities
in Other Industries
Source: U.S. EPA analysis,
Table B3-1: Summary
of Baseline
Closures by Sector
Total Number of Number of Baseline Percentage Closing
Facilities Closures in Baseline
230
178
36
68
21
532
22
2004.
32
4
5
29
7
76
4
13.9%
2.2%
13.9%
42.6%
33.3%
14.3%
18.2%
Number Operating
in Baseline
198
173
30
40
14
456
18
B3-3.2 Number of Facilities with Regulatory Requirements
Of the three options presented here, the 50 MOD Option for All Waterbodies, would the largest number of
facilities, 133 facilities, or 127 facilities in the Primary Manufacturing Industries and 6 known facilities in Other
Industries to national categorical requirements (see Table B3-2). The 200 MOD for All Waterbodies, would
subject a smaller set of Manufacturers to national requirements: 24 facilities, or 22 facilities in the Primary
Manufacturing Industries and 2 of the known facilities in Other Industries. The 100 MGD for Certain
Waterbodies Option, would subject the smallest number of facilities to national requirements: 20 facilities, or 18
facilities in the Primary Manufacturing Industries and 2 known facilities in the Other Industries.
Table B3-2: Number of Facilities with Regulatory Requirements by Sector and Option
Sector
Paper
Chemicals
Petroleum
Steel
Aluminum
Total Facilities in Primary
Manufacturing Industries
Additional known facilities
in Other Industries
Total
Operating
in Baseline
198
173
30
40
14
456
18
Number of Facilities with Regulatory Requirements
50
MGD All
Number Percentage
37
52
13
22
5
127
6
18.7%
30.1%
43.3%
55.0%
35.7%
27.9%
33.3%
200
Number
3
5
3
9
1
22
2
MGD All
Percentage
1.5%
2.9%
10.0%
22.5%
7.1%
4.8%
11.1%
100 MGD CWB
Number
0
7
5
6
0
18
2
Percentage
0.0%
4.0%
16.7%
15.0%
0.0%
3.9%
100.0%
Source: U.S. EPA analysis, 2004.
B3-16
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
B3-3.3 Post-Compliance Impacts
Of the 474 facilities potentially subject to regulation after baseline closures, EPA estimated that no facilities
would close or incur employment losses as a result of any of the three proposed options.
EPA also found that none of the Manufacturers would incur a moderate impact (i.e, financial stress short of
closure) under any of the three proposed options.
B3-3.4 Compliance Costs
Table B3-3 reports the estimated total after-tax compliance cost to facilities in the Primary Manufacturing
Industries and the known facilities in Other Industries by sector and regulatory option. The reported costs exclude
costs in baseline closures. The total annualized, after-tax compliance cost reported in Table B3-3 represents the
cost actually incurred by complying firms, assuming no recovery of costs from customers through increased
prices and taking into account the reductions in tax liability resulting from incurrence of compliance outlays. The
after-tax analysis uses a combined Federal/State tax rate, and accounts for facilities' baseline tax circumstances.
Specifically, tax offsets to compliance costs are limited to not exceed facility-level tax payments as reported in
facility questionnaire responses. The total annualized, after-tax compliance cost reported here is the sum of
annualized, after-tax costs by facility at the year of compliance. This cost calculation differs in concept from the
calculation of compliance costs as included in the calculation of the total social costs of the regulation. For the
social cost calculation, which is presented in Chapter El: Summary of Social Costs, the year-by-year stream of
total pre-tax compliance costs for all facilities is discounted to the assumed year of promulgation of the 316(b)
final regulation for Phase III facilities - i.e., beginning of year 2007 - and then annualized. Two social discount
rate values, 3% and 7%, are used in the social cost analysis.
Of the three options described here, the 50 MOD Option for All Waterbodies, has the highest total after-tax
compliance cost, $38.0 million: $32.8 million for facilities in the Primary Manufacturing Industries, and $5.2
million for known facilities in Other Industries. The 100 MGD for Certain Waterbodies has the next higher total
after-tax compliance cost, $16.4 million: $15.8 million for facilities in the Primary Manufacturing Industries, and
$0.6 million for known facilities in Other Industries. The 200 MGD Option for All Waterbodies, would have the
lowest cost, $14.5 million: $13.7 million for facilities in the Primary Manufacturing Industries, and $0.7 million
for known facilities in Other Industries.
Table B3-3: Total Annualized Facility Compliance Cost" by Sector and Regulatory Option
(millions, 2003$)
Sector
Paper
Chemicals
Petroleum
Steel
Aluminum
Total Facilities in Primary
Manufacturing Industries
Additional known facilities in Other
Industries
After-Tax Costs
50 MGD All
$5.0
$15.9
$4.7
$6.3
$0.8
$32.8
$5.2
200 MGD All
$2.1
$3.6
$3.0
$5.0
$0.0
$13.7
50.7
100 MGD CWB
$0.0
$9.0
$3.2
$3.6
$0.0
$15.8
$0.6
a This table reflects the cost incurred by complying businesses and does not represent the cost to society from
regulatory compliance. Chapter El: Summary of Social Costs discusses the social cost of the proposed regulation and
the other options. The values in this table exclude baseline closures.
B3-17
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B3: Impact Analysis for Manufacturers
Source: U.S. EPA analysis, 2004.
B3-3.5 Summary of Facility Impacts
Table B3-4 summarizes the estimated impacts of the three proposed regulatory options for Manufacturers, as
reported in the preceding sections.
Table B3-4:
Regulatory
Impacts for All Facilities by Option, National Estimates
50 MGD All
200 MGD All
100 MGD CWB
Primary Manufacturing Industries
Number of Facilities Operating in Baseline
Number of Facilities with Regulatory Requirements
Percentage of Facilities with Regulatory Requirements
Number of Closures (Severe Impacts)
Percentage of Facilities with Regulatory Requirements
Predicted to Close
Number of Facilities with Moderate Impacts
Percentage of Facilities with Regulatory Requirements
with Moderate Impacts
Annualized Compliance Costs (after tax, million $2003)
456
127
27.9%
0
0.0%
0
0.0%
$32.8
456
22
4.8%
0
0.0%
0
0.0%
$13.7
456
18
3.9%
0
0.0%
0
0.0%
$15.8
Additional Known Facilities in Other Industries
Number of Facilities Operating in Baseline
Number of Facilities with Regulatory Requirements
Percentage of Facilities with Regulatory Requirements
Number of Closures (Severe Impacts)
Percentage of Facilities with Regulatory Requirements
Predicted to Close
Number of Facilities with Moderate Impacts
Percentage with Moderate Impacts
Annualized Compliance Costs (after tax, million $2003)
18
6
33.3%
0
0.0%
0
0.0%
$5.2
18
2
11.1%
0
0.0%
0
0.0%
$0.7
18
2
11.1%
0
0.0%
0
0.0%
$0.6
Source: U.S. EPA analysis, 2004.
B3-3.6 Firm Impacts
As previously discussed, EPA's analysis of firm-level impacts considered two analytic cases:
»• Case 1: Approximate upper bound estimate of number of firms owning facilities that face
requirements under the regulation; approximate lower bound estimate of total compliance costs that a
firm may incur, and
B3-18
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B3: Impact Analysis for Manufacturers
*• Case 2: Lower bound estimate of number of firms owning facilities that face requirements under the
regulation; approximate upper bound estimate of total compliance costs that a firm may incur.
Based on these two analytic cases, EPA estimated the number of firms owning regulated facilities in the Primary
Manufacturing Industries to range from 100 (Case 2 estimate) to 313 (Case 1 estimate), depending on the assumed
ownership cases outlined above. An additional 14 firms are known to own facilities in Other Industries. EPA
included the additional known facilities in Other Industries in the firm impact analyses but since these facilities
have no sample weight (i.e., they are not modeled to represent facilities other than themselves), the upper and
lower bound estimates were not applicable to them.
Under both Case 1 and Case 2, no firms are estimated to incur total compliance costs equal to or exceeding 1.0%
of annual revenue under any of the three proposed options (See Table B3-5, below).
Table B3-5: Firm-Level After-Tax Annual Compliance Costs as a Percentage of Annual Revenue
Number of
Firms in the
Analysis
Number and Percentage with After Tax Annual Compliance Costs/Annual Revenue Equal to:
I I T T
No Costs Less than 1% 1-3% I At Least 3%
Total Number % Number % Number % [ Number %
Primary Manufacturing Industries3
Case 1: Upper bound estimate of number of firms owning facilities that face requirements under the rezulation; lower bound estimate of
total compliance costs that a firm may incur
50 MOD All
200 MOD All
100MGDCWB
313
313
313
208
292
293
66%
93%
94%
105
21
21
34%
7%
7%
0
0
0
Case 2: Lower bound estimate of number affirms owning facilities that face requirements under the
total compliance costs that a firm mav incur
50 MOD All
200 MOD All
100MGDCWB
100
100
100
54
86
88
54%
86%
88%
46
14
12
46%
14%
12%
0
0
0
0%
0%
0%
0
0
0
rezulation: upper
0%
0%
0%
0
0
0
0%
0%
0%
bound estimate of
0%
0%
0%
Other Industries
50 MOD All 14 10
200 MOD All 14 13
100MGDCWB 14 13
71% 4
93% 1
93% 1
29% 0
7% 0
7% 0
0% 0
0% 0
0% 0
0%
0%
0%
a Two known facilities in Other Industries are owned by firms that own facilities in the Primary Manufacturing Industries and are
included in this category.
Source: U.S. EPA analysis, 2004.
B3-19
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
GLOSSARY
after-tax cash flow (ATCF): The cash generated from business operations, after-tax, that is available to
providers of capital - equity and debt - or for reinvestment in the business.
baseline closures: Facilities showing inadequate financial performance in the baseline, that is, in the absence
of the regulation. EPA's analysis assumes these closures would have occurred with or without the regulation.
Construction Cost Index (CCI): Measures the cost of a hypothetical package of general construction goods
and services compared a base year. The CCI can be used where labor costs are a high proportion of total costs.
The CCI uses 200 hours of common labor, multiplied by the 20-city average rate for wages and fringe benefits.
(http://www.enr.com/cost/costfaq.asp)
cost of capital: Costs incurred for a firm to obtain financing from all capital sources including, in particular,
equity and debt.
cost pass-through: Calculates the percentage of compliance costs that EPA expects firms subject to
regulation to recover from customers through increased revenue.
facility: A contiguous set of buildings or machinery on a piece of land under common ownership.
free cash flow: Cash flow generated by the company that is available to all providers of the company's capital,
both creditors and shareholders.
Gross Domestic Product (GDP) Implicit Price Deflator: The GDP Deflator is a quarterly series that
measures the implicit change in prices, overtime, of the bundle of goods and services comprising gross domestic
product.
interest coverage ratio (ICR): Ratio of cash operating income to interest expenses. This ratio measures the
facility's ability to service its debt and borrow for capital investments.
liquidation value: Net amount that could be realized by selling the assets of a firm after paying debt.
moderate impacts: Adverse changes in a facility's financial position that weaken financial performance and
may increase cost of financing but are not threatening to short-term viability.
operating and maintenance: Costs estimated to result from operating and maintaining pollution controls
adopted to comply with effluent guidelines. Operating costs include the costs of monitoring.
pre-tax return on assets (PTRA): Ratio of cash operating income to assets. This ratio measures facility
profitability.
regulatory closure: A facility that is predicted to close because it can not afford the costs of complying with
the regulation.
severe impacts: Facility closures and the associated losses in jobs, earnings, and output at facilities that close
due to the regulation.
B3-20
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
ABBREVIATIONS
ATCF: after-tax cash flow
CCI: construction cost index
ICR: interest coverage ratio
PTRA: pre-tax return on assets
B3-21
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B3: Impact Analysis for Manufacturers
REFERENCES
Engineering News-Record (ENR). 2004. Construction Cost Index.
Available at: http://enr.construction.com/features/conEco/costIndexes/constIndexHist.asp
McGraw-Hill and U.S. Department of Commerce, International Trade Administration. U.S. Industry & Trade
Outlook.
McKinsey & Company, Inc. etal. 2000. Valuation: Measuring and Managing the Value of Companies,^
edition. New York: John Wiley & Sons, Inc.
Risk Management Association (RMA). 1997-1998. Annual Statement Studies.
Risk Management Association (RMA). 2000-2001. Annual Statement Studies.
U.S. Bureau of Economic Analysis (U.S. BEA). 2004. Gross Domestic Product. Table 1.1.9: Implicit Price
Deflators for Gross Domestic Product (GDP). Last Revised on February 27, 2004.
Available at: http://www.bea.doc.gov/bea/dn/nipaweb/TableView.asp#Mid
U.S. Department of Commerce (U.S. DOC). 2001. Bureau of the Census. International Trade Administration.
U.S. Department of Commerce (U.S. DOC). 1989, 1992, and 1997. Bureau of the Census. Census of
Manufactures.
U.S. Department of Commerce (U.S. DOC). 1988-1991, 1993-1996, and 1998-2001. Bureau of the Census.
Annual Survey of Manufactures.
U.S. Environmental Protection Agency (U.S. EPA). 2004. Technical Development Document for the Proposed
Section 316(b) Rule for Phase III Facilities. EPA-821-R-04-015. November.
U.S. Small Business Administration (U.S. SBA). 1989-2001. Statistics of U.S. Businesses.
Available at: http://www.sba.gov/advo/stats/int_data.html
Value Line. 1992-2003. Value Line Investment Survey.
B3-22
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities Appendices to Chapter B3
Appendices to Chapter B3
Appendix 1: Summary of Results for Alternative Options
B3A1-1 Number of Facilities with Regulatory Requirements B3A1-1
B3A1-2 Post-Compliance Closures B3A1-2
B3A1-3 Moderate Impacts B3A1-2
B3A1-4 After-Tax Compliance Costs B3A1-3
B3A1-5 Overview of Impacts B3A1-4
B3A1-6 Firm Impacts B3A1-5
Appendix 2: Calculation of Installation Downtime Cost
B3A2-1 Estimated Shut-Down Period for Installing Compliance Equipment B3A2-1
B3A2-2 Calculating the Impact of Installation Downtime on Complying Facilities B3A2-2
B3A2-3 Calculating the Cost to Society of Installation Downtime B3A2-4
Appendix 3: Cost Pass-Through Analysis
B3A3-1 The Choice of Firm-Specific versus Sector-Specific CPT Coefficients B3A3-1
B3A3-2 Market Structure Analysis B3A3-3
B3A3-2.1 Industry Concentration B3A3-4
B3A3-2.2 Import Competition B3A3-6
B3A3-2.3 Export Competition B3A3-7
B3A3-2.4 Long-Term Industry Growth B3A3-8
B3A3-2.5 Conclusions B3A3-9
References B3A3-11
Appendix 4: Adjusting Baseline Facility Cash Flow
B3A4-1 Background: Review of Overall Business Conditions B3A4-2
B3A4-2 Framing and Executing the Analysis B3A4-4
B3A4-2.1 Identifying the Financial Data Concept to Be Analyzed B3A4-4
B3A4-2.2 Selecting Appropriate Data B3A4-5
B3A4-2.3 Selecting Industry Groups and Firms for Use in the Analysis B3A4-7
B3A4-2.4 Structuring the Analysis B3A4-9
B3A4-3 Summary of Findings B3A4-10
B3A4-4 Developing an Adjustment Concept B3A4-14
References B3A4-18
Appendix 5: Estimating Capital Outlays for Section 316(b) Phase III Manufacturing Sectors Discounted
Cash Flow Analyses
B3A5-1 Analytic Concepts Underlying Analysis of Capital Outlays B3A5-2
B3A5-2 Specifying Variables for the Analysis B3A5-4
B3A5-3 Selecting the Regression Analysis Dataset B3A5-7
B3A5-4 Specification of Models to be Tested B3A5-9
B3A5-5 Model Validation B3A5-12
Attachment B3A5. A: Bibliography of Literature Reviewed for this Analysis B3A5-17
Attachment B3A5.B: Historical Variables Contained in the Value Line Investment Survey Dataset B3A5-18
Appendix 6: Summary of Moderate Impact Threshold Values by Industry
B3A6-1 Developing Threshold Values for Pre-Tax Return on Assets B3A6-2
B3A6-2 Developing Threshold Values for Interest Coverage Ratio B3A6-2
B3A6-3 Summary of Results B3A6-4
References B3A6-5
Appendix 7: Analysis of Baseline Closure Rates
B3A-i
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities Appendices to Chapter B3
B3A7-1 Annual Establishment Closures B3A7-1
References B3A7-2
B3A-U
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities Appendices to Chapter B3
THIS PAGE INTENTIONALLY LEFT BLANK
B3A-iii
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B3
Appendix 1 to Chapter B3:
Summary of Results for Alternative Options
INTRODUCTION
This appendix presents results for 5 additional
regulatory options considered by EPA. For these
options, facility counts and other results include only
those Phase III Manufacturers that are (1) non-
baseline closures and (2) subject to national
categorical requirements under the option. See the
main body of this chapter for a description of data
sources and methodologies used in these analyses. In
the following tables, the results for these additional options are presented in order of increasing estimated total
annualized cost of compliance.
APPENDIX CONTENTS
B3A1-1 Number of Facilities with Regulatory
Requirements B3A1-1
B3A1-2 Post-Compliance Closures B3A1-2
B3A1-3 Moderate Impacts B3A1-2
B3A1-4 After-Tax Compliance Costs B3A1-3
B3A1-5 Overview of Impacts B3A1-4
B3A1-6 Firm Impacts B3A1-5
B3A1-1 NUMBER OF FACILITIES WITH REGULATORY REQUIREMENTS
Table B3A1.1: Number of Facilities with Regulatory Requirements by Sector and Option
Sector
Paper
Chemicals
Petroleum
Steel
Aluminum
Total Facilities in Primary
Manufacturing Industries
Additional known facilities
in Other Industries
Total Operating
in Baseline
198
173
30
40
14
456
18
Number of Facilities with Regulatory
Option 3
117
116
18
33
8
292
9
Option 4
46
75
13
23
5
162
7
Option 2
117
116
18
33
8
292
9
Requirements
Option 1
117
116
18
33
8
292
9
Option 6
198
173
30
40
14
456
18
Source: U.S. EPA analysis, 2004.
B3A1-1
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B3
B3A1-2 POST-COMPLIANCE CLOSURES
For a description of this analysis, see section B3-2.3 above.
Table B3A1.2: Number of Facilities Estimated as Post-Compliance Closures
by Sector and Option
Sector
Paper
Chemicals
Petroleum
Steel
Aluminum
Total Facilities in Primary
Manufacturing Industries
Additional known facilities
in Other Industries
Total Operating
in Baseline
198
173
30
40
14
456
18
Number of Post-Compliance
Option 3
0
0
0
0
0
0
0
Option 4
0
0
0
0
0
0
0
Option 2
0
0
0
0
0
0
0
Closures
Option 1
0
0
0
0
0
0
0
Option 6
0
0
0
0
0
0
0
Source: U.S. EPA analysis, 2004.
B3A1-3 MODERATE IMPACTS
For a description of this analysis, see section B3-2.3 above.
Table B3A1.3: Number of Facilities Estimated as Moderate Impacts by Sector and Option
Paper
Chemicals
Petroleum
Steel
Aluminum
Total Facilities in Primary
Manufacturing Industries
Additional known facilities
in Other Industries
Total Operating
in Baseline
198
173
30
40
14
456
18
Number of Moderate
Option 3
0
0
0
0
0
0
0
Option 4
0
0
0
0
0
0
0
Option 2
0
0
0
0
0
0
0
Impacts
Option 1
0
0
0
0
0
0
0
Option 6
0
0
0
0
0
0
0
Source: U.S. EPA analysis, 2004.
B3A1-2
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B3A1-4 AFTER-TAX COMPLIANCE COSTS
For a description of this analysis, see section B3-2.3 above.
Appendix 1 to Chapter B3
Table B3A1.4: Total Annualized Facility" After-Tax Compliance Cost
by Sector and Option (millions, 2003$)
Sector
Paper
Chemicals
Petroleum
Steel
Aluminum
Total Facilities in Primary
Manufacturing Industries
Additional known facilities
in Other Industries
Option 3
(TO £
4>O. J
$28.3
$4.7
$7.2
$0.8
$49.5
$5.6
Option 4
$7.2
$35.1
$4.7
$7.4
$0.8
$55.3
$5.4
Option 2
$9.6
$35.9
$4.7
$8.1
$0.8
$59.1
$5.6
Option 1
$11.3
$35.9
$4.7
$8.1
$0.8
$60.8
$5.6
Option 6
$22.9
$42.0
$4.8
$8.1
$0.9
$78.8
$5.8
a This table reflects the cost incurred by complying businesses and does not represent the cost to society from regulatory compliance.
Chapter El: Summary of Social Costs discusses the social cost of the proposed rule and the other options. The estimates in this table
exclude baseline and include regulatory closures, and are after-tax.
Source: U.S. EPA analysis, 2004.
B3A1-3
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B3A1-5 OVERVIEW OF IMPACTS
For a description of this analysis, see section B3-2.3 above.
Appendix 1 to Chapter B3
Table B3A1.5: Regulatory Impacts for All Facilities by Option, National Estimates
Option 3 Option 4 Option 2 Option 1
Option 6
Primary Manufacturing Industries
Number of Facilities Operating in Baseline
Number of Facilities with Regulatory
Requirements
Percentage of Facilities with Regulatory
Requirements
Number of Closures (Severe Impacts)
Percentage of Facilities with Regulatory
Requirements Predicted to Close
Number of Facilities with Moderate Impacts
Percentage of Facilities with Regulatory
Requirements with Moderate Impacts
Annualized Compliance Costs (after tax,
million $2003)
456 456 456 456
292 162 292 292
64.0% 35.5% 64.0% 64.0%
0000
0.0% 0.0% 0.0% 0.0%
0000
0.0% 0.0% 0.0% 0.0%
$49.5 $55.3 $59.1 $60.8
456
456
100.0%
0
0.0%
0
0.0%
$78.8
Additional Known Facilities in Other Industries
Number of Facilities Operating in Baseline
Number of Facilities with Regulatory
Requirements
Percentage of Facilities with Regulatory
Requirements
Number of Closures (Severe Impacts)
Percentage of Facilities with Regulatory
Requirements Predicted to Close
Number of Facilities with Moderate Impacts
Percentage of Facilities with Regulatory
Requirements with Moderate Impacts
Annualized Compliance Costs (after tax,
million $2003)
18 18 18 18
9799
50.0% 38.9% 50.0% 50.0%
0000
0.0% 0.0% 0.0% 0.0%
0000
0.0% 0.0% 0.0% 0.0%
$5.6 $5.4 $5.6 $5.6
18
18
100.0%
0
0.0%
0
0.0%
$5.8
Source: U.S. EPA analysis, 2004.
B3A1-4
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B3
B3A1-6 FIRM IMPACTS
For a description of this analysis, see section B3-2.3 above.
Table B3A1.6: Firm-level After-Tax Annual Compliance Costs as a Percentage of Annual Revenue
Number of
Firms in the
Analysis
Number and Percentage with After Tax Annual Compliance Costs/Annual Revenue Equal to:
Total
No Costs
Number %
Less than 1%
Number %
1-3%
Number %
At Least 3%
Number %
Primary Manufacturing Industries3
Case 1: Upper bound estimate of number affirms owning facilities that face requirements under the regulation; lower bound estimate of
total compliance costs that a firm may incur
Option 3
Option 4
Option 2
Option 1
Option 6
313
313
313
313
313
114 36%
180 58%
114 36%
114 36%
0 0%
199 64%
133 42%
199 64%
199 64%
313 100%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
Case 2: Lower bound estimate of number affirms owning facilities that face requirements under the regulation
Option 3
Option 4
Option 2
Option 1
Option 6
100
100
100
100
100
31 31%
48 48%
31 31%
31 31%
0 0%
69 69%
52 52%
69 69%
69 69%
99 99%
0 0%
0 0%
0 0%
0 0%
1 1%
0 0%
0 0%
0 0%
0 0%
0 0%
Other Industries
Option 3
Option 4
Option 2
Option 1
Option 6
14
14
14
14
14
8 57%
9 64%
8 57%
8 57%
0 0%
6 43%
5 36%
6 43%
6 43%
14 100%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
0 0%
a Two known facilities in Other Industries are owned by firms that own facilities in the Primary Manufacturing Industries and are
included in this category.
Source: U.S. EPA analysis, 2004.
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 2 to Chapter B3
Appendix 2 to Chapter B3:
Calculation of Installation Downtime Cost
APPENDIX CONTENTS
B3 A2-1 Estimated Shut-Down Period for Installing
Compliance Equipment B3A2-1
B3 A2-2 Calculating the Impact of Installation Downtime
on Complying Facilities B3 A2-2
B3A2-3 Calculating the Cost to Society of Installation
Downtime B3A2-4
INTRODUCTION
Depending on the engineering design of a facility's
cooling water intake system, installation of some of
the compliance technologies considered for the
proposed regulation could require a one-time,
temporary shut-down of the facility's cooling water
system. During this period, the facility's cooling-
water dependent operations would most likely be
halted, with a potential loss of revenue and income
from those operations. Accordingly, a key element of the cost to facilities in complying with the 316(b) Phase III
regulation is the loss in income from installation downtime. Installation downtime may also present a cost to
society, depending upon assumptions about the cost structure of the production to replace the goods and services
not produced by complying facilities during the installation downtime.
Unlike the capital and operating cost elements of total compliance cost, this cost element is not estimated based
solely on engineering analysis of compliance technology specifications. Instead, the cost of installation downtime
depends on a number of factors additional to the engineering assessment of compliance requirements.
Specifically, the cost of installation downtime depends on the estimated length of time that a facility's cooling
water intake system would be removed from service, the extent to which the facility's business operations depend
on cooling water, and the revenue and operating cost structure of those cooling water dependent operations. Of
these items, the length of time that the facility's cooling water intake system would be out of service was
estimated as part of the engineering analysis of compliance requirements. The remaining items - the extent to
which the facility's business operations depend on cooling water, and the revenue and operating cost structure of
the facility's cooling water dependent operations - were obtained from the facility's response to the economic/
financial section of the 316(b) Phase III questionnaire. EPA used this information to calculate the pre-tax income
loss from installation downtime.
The following sections of this appendix presents the methodology used to estimate the income loss from
installation downtime.
B3A2-1 ESTIMATED SHUT-DOWN PERIOD FOR INSTALLING COMPLIANCE EQUIPMENT
Installation of some of the compliance technologies considered for the proposed regulation would require a one-
time, temporary shut-down of the facility's cooling water intake system. Table B3A2-1, below, lists the estimated
durations of net system downtime, in weeks, for each of the compliance technology modules considered for
compliance with the 316(b) Phase III regulation. The net downtime duration accounts for any expected annual
period of cooling water system downtime for regular maintenance and repair - the net downtime is the number of
weeks the cooling water system would need to be out of service above and beyond any regular maintenance
downtime period. Most of the technology modules are expected to be able to be installed without any additional
net system downtime. However, several of the technology modules are expected to require a net downtime
ranging from a month or less to nearly three months.
B3A2-1
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 2 to Chapter B3
Table B3A2.1: Estimated Average Cooling Water System Downtime by Technology Module
Module #
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Description
Fish handling and return system
Fine mesh traveling screens with fish handling and return
New larger intake structure with fine mesh, handling and return
Passive fine mesh screens with 1 .75 mm mesh size at shoreline
Fish barrier net
Gunderboom
Relocate intake to submerged offshore with passive fine mesh screen with 1 .75 mm
mesh size
Velocity cap at inlet of offshore submerged
Passive fine mesh screen with 1.75 mm mesh size at inlet of offshore submerged
Shoreline tech for submerged offshore
Double-entry, single-exit with fine mesh and fish handling and return
Passive fine mesh screens with 0.75 mm mesh size at shoreline
Relocate intake to submerged offshore with passive fine mesh screen with 0.75 mm
mesh size
Passive fine mesh screen at inlet of offshore submerged with 0.75 mm mesh size
Net Downtime (Weeks)
0
0
2-4
9-11
0
0
9-11
0
0
0
0
9-11
0
9-11
Source: U.S. EPA analysis, 2004.
B3A2-2 CALCULATING THE IMPACT OF INSTALLATION DOWNTIME ON COMPLYING
FACILITIES
Installation downtime may affect a facility's business operations in several ways:
1. The facility will be unable to perform production or other business operations that depend on cooling
water.
2. The facility will lose revenue from the production and sale of the goods and services that otherwise would
have been produced by the affected production operations during the period of downtime.
3. The facility will shed the variable cost of producing the goods and services not able to be produced during
the period of installation downtime. However, the facility will continue to incur the fixed costs of
production associated with the affected operations.
4. If, as part of its cooling water dependent operations, the facility generates electricity for its own use, and
some part of this self-generated electricity continues to be needed during the period of installation
downtime, the facility may need to purchase replacement electricity.
Together, these effects lead to a loss in pre-tax income, which EPA calculated and used as the cost of installation
downtime in its analysis of facility impacts. EPA calculated the loss in pre-tax income by first calculating the
annual loss in revenue in cooling water dependent operations less the variable production costs associated with
those operations plus the cost of purchasing electricity to replace any own-generated electricity that is used by the
facility. Second, EPA adjusted this annual pre-tax loss value to reflect the length of net installation downtime as
estimated in the engineering analysis of compliance technology requirements. Specific elements of these
calculations are summarized below for: (1) business effects not associated with electric power generation and (2)
electric power generation-related effects.
B3A2-2
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 2 to Chapter B3
Business Effects Not Associated with Electric Power Generation
The 316(b) Phase III questionnaire included a series of questions aimed at understanding the potential financial
effect of temporary or permanent shutdown of a facility's cooling water intake system. A key data item obtained
from the questionnaire response is the fraction of a facility's non-electric revenue that depends on cooling water.
This information coupled with facility income statement information obtained from the questionnaire response
provided the basis for calculating the income loss in non-electric power-related operations. Steps in the
calculation are as follows:
1. Calculate the annual revenue loss from curtailment of cooling water-dependent operations by multiplying
the fraction of cooling water-dependent revenue times total reported non-electric revenue.
2. Calculate the variable production cost offset to this revenue loss by multiplying materials expense, as
reported on the facility's income statement provided in the questionnaire, times the fraction of cooling
water-dependent revenue, as described above. This approach assumes that the variable production cost
structure for cooling water-dependent operations is the same as that for non-cooling water-dependent
operations. The use of materials expense as the only component of facility operating costs that may be
shed during a period of installation downtime, is relatively conservative as other cost accounts might also
be able to be curtailed or the services provided by those accounts - e.g., labor - applied to some other
beneficial service within the enterprise.
3. Calculate annual loss in pre-tax income from curtailment of the facilities cooling water intake system
from non-electric power-related operations as estimated revenue loss less estimated reduction in variable
production cost.
4. Calculate pre-tax income loss in non-electric power-related operations, from installation downtime, by
multiplying the annual pre-tax income loss by the fraction of the year indicated as the net downtime
required for installing compliance equipment.
Business Effects Associated with Electric Power Generation
The analysis of installation downtime costs for cooling water-dependent electric power generation activities is the
same in concept as that outlined for non-electric power-related operations, with the exception that facilities may
need to incur an additional cost for purchasing replacement electricity if some of the facility's electric power
needs were met from its own generation. Key information obtained from facility questionnaires for calculating
the income loss in electric power-related operations includes: (1) annual electric revenue reported as cooling
water dependent, (2) the fuel cost of electric power generation, which is assumed to be shed during the period of
curtailed operations, (3) the quantity of electricity consumed by the facility, and (4) the quantity of electricity
generated by the facility. The remaining key input required for this analysis is the unit price of replacement
electricity: for this item, EPA used the average electricity price for industrial customers by state, using data from
the Department of Energy, Energy Information Administration, for 2002/2003. EPA calculated the pre-tax
income loss effect for electric power generation activities as follows.
1. Annual electric revenue from cooling water-dependent generation is obtained directly from the facility
questionnaire. This value is assumed to be the annual revenue loss in electric power generation, from
curtailment of cooling water-dependent operations.
2. Annual fuel cost of electric power generation is obtained directly from the facility questionnaire. This
value is assumed to be shed during the period of curtailed operations.
3. Calculate own-generated electricity that is consumed by the facility as the lesser of (a) the facility's own
electricity generation or (b) the electricity used within the facility.
B3A2-3
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 2 to Chapter B3
4. Calculate the quantity of replacement electricity to be purchased by the facility, by multiplying the
quantity of own-generated electricity that is consumed by the facility times the fraction of non-electric
revenue that is cooling water dependent but subject to a maximum reduction in electricity need of 75
percent. That is, the facility is assumed to need replacement electricity in proportion to the fraction of
non-electric revenue that is not cooling water-dependent. As the fraction of revenue dependent on
cooling water, and thus affected by installation downtime, increases, the need for replacement electricity
decreases. However, even in the case where the fraction of revenue that is cooling water dependent is
very large (e.g., 100 percent), the analysis assumes that the facility will not shed all of its electricity need:
the facility is assumed to always require 25 percent of its baseline electricity consumption from own-
generated electricity. The assignment of the 25 percent minimum electricity replacement need is
somewhat arbitrary but reflects the reality that less electricity is likely to be needed to serve a lower level
of operations during a cooling water system shutdown, while also acknowledging that all electricity need
cannot be shed, regardless of the reduction in non-electric generating activity. The numerical
consequence on imposing the 25 percent electricity requirement floor (as opposed to a floor of zero
percent) is very small.
5. Calculate the cost of electricity purchased to replace own-generated electricity used by the facility by
multiplying the quantity of replacement electricity times the average electricity price, by state, for
industrial customers.
6. Calculate annual loss in pre-tax income for electric power-related operations as estimated revenue loss
from cooling water-dependent generation less estimated annual fuel cost of electric power generation plus
cost of electricity purchased to replace own-generated electricity.
7. Calculate pre-tax income loss in electric power-related operations, from installation downtime, by
multiplying the annual pre-tax income loss by the fraction of the year indicated as the net downtime
required for installing compliance equipment.
These values are summed to yield the total pre-tax income loss to the facility from installation downtime.
Under the 50 MGD All Option, 19 manufacturing facilities have non-zero downtime. Of these, 18 have non-zero
cost of downtime. The facility with no downtime costs reported that none of its revenue was cooling water
dependent. Of the 18 facilities with non-zero downtime cost, downtime cost as a fraction of annual revenue
ranges from 0.3% to 14.6%. Under the 200 MGD All Option, 3 manufacturing facilities have non-zero
downtime. Of these, all 3 have non-zero cost of downtime. Of the 3 facilities with non-zero downtime cost,
downtime cost as a fraction of annual revenue ranges from 0.3% to 3.0%. Under the 100 MGD SWB Option, 9
manufacturing facilities have non-zero downtime. Of these, all 9 have non-zero cost of downtime. Of the 9
facilities with non-zero downtime cost, downtime cost as a fraction of annual revenue ranges from 0.3% to 3.0%.
B3A2-3 CALCULATING THE COST TO SOCIETY OF INSTALLATION DOWNTIME
The preceding discussion describes the calculation of the pre-tax income loss from installation downtime as used
in the facility impact analysis. For the analysis of cost to society, the concept of cost of installation downtime
differs from that for the private impact analysis. Specifically, under the assumption that the total quantity of
goods and services produced and sold by the affected industries would not change as a result of the regulation (see
Chapter El for further detail on the social cost analysis framework), the cost to society from installation downtime
is the increase in cost for producing the goods and services that would otherwise have been produced by the
affected facilities. That is, other producers are assumed to replace the production of goods and services lost due
to installation downtime, and the cost to society is the amount, if any, by which the cost of these goods and
services exceeds the cost at which the affected facilities would have produced these goods and services.
In concept, the cost to society could vary over a broad range depending on the structure of, and character of
competition in, the production of goods and services in the individual markets affected by the 316(b) Phase III
regulation.
B3A2-4
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 2 to Chapter B3
*• At the low end of this possible range, if the replacement goods and services can be provided by
other producers at the same variable production cost as otherwise would have been incurred by
the affected 316(b) Phase III facilities, then the cost to society of installation downtime would be
zero. Because the cost for alternative producers is the same as for the producers incurring
downtime, society incurs no incremental resource cost when other producers provide the
replacement goods and services. In this case, although the affected 316(b) Phase III facilities
incur a financial impact from installation downtime, this impact - the loss in pre-tax income
described in the preceding section - becomes a transfer from the producers incurring installation
downtime losses to the producers who make up the lost production.
*• At the high end of this possible range, the cost to society would be approximately equal to the
pre-tax income loss incurred by facilities due to installation downtime. That is, the cost to society
would again be the lost revenue from installation downtime less the variable cost of producing the
goods and services not produced due to the installation downtime. In this case, the variable
production cost for other producers to replace the lost goods and services is assumed to be
essentially the same as the price received for the sale of the goods and services not produced by
the facilities incurring the installation downtime. This assumption is consistent with a
competitive market model of increasing marginal production cost, such that the variable
production cost of the marginal supplier of goods and services produced and sold in any period is
approximately equal to the price received for those goods and services in the market.
The likely reality is that the cost to society from installation downtime lies somewhere between these cases.
Lacking specific knowledge of the overall production cost structure of the affected industries and for the
numerous goods and services provided by the affected industries, to be conservative in its analysis, EPA adopted
the latter of the two analytic cases outlined above for its analysis. That is, EPA assumed that the cost to society
from installation downtime would be the same as that estimated as the pre-tax cost of installation downtime for
Manufacturers facilities. To the extent that the variable production cost for replacement goods and services is less
than the selling price of those goods and services, this assumption overstates the cost to society of installation.
B3A2-5
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
Appendix 3 to Chapter B3:
Cost Pass-Through Analysis
INTRODUCTION
APPENDIX CONTENTS
B3A3-1 The Choice of Firm-Specific versus Sector-Specific
CPT Coefficients B3A3-1
B3A3-2 Market Structure Analysis B3A3-3
B3A3-2.1 Industry Concentration B3A3-4
B3A3-2.2 Import Competition B3A3-6
B3A3-2.3 Export Competition B3A3-7
B3A3-2.4 Long-Term Industry Growth B3A3-8
B3A3-2.5 Conclusions B3A3-9
References B3A3-11
This appendix presents the assessment of cost pass-
through (CPT) potential for five key manufacturing
industries in which a substantial number of facilities
are expected to be subject to the Section 316(b)
Phase III regulation. The five industry sectors
considered in this analysis are:
*• SIC 26: Paper and allied products
*• SIC 28: Chemicals and allied products
*• SIC 29: Petroleum and coal products
•> SIC 331: Steel
* SIC 333/5: Aluminum
The purpose of the CPT analysis is to estimate the extent to which cost increases incurred by facilities in
complying with the proposed Section 316(b) Phase III regulation can be reasonably expected to be passed on to
consumers in the form of higher prices.
This appendix begins with a review of approaches for assessing CPT potential associated with market-wide cost
increase scenarios. Next, a description of the methodology and specific metrics used to assess CPT potential are
discussed and the results for each sector provided. Finally, conclusions are presented.
From this analysis, EPA concluded that an assumption of zero cost pass-through is appropriate for analyzing the
impact of the Phase III regulation on facilities in the manufacturing industries. Performance of the financial
impact analysis under this assumption means that facilities must absorb all compliance-related costs and operating
effects (e.g., income loss from facility shutdown during equipment installation) within their baseline cash flow
and financial condition. To the extent that facilities would be able to pass on some of the compliance costs to
customers through price increases, the analysis overstates the potential impact on complying facilities. Thus, this
assumption is conservative in avoiding potential overstatement of the manufacturing industries' ability to absorb
the costs of 316(b) regulation compliance without material adverse economic/financial impact.
B3A3-1 THE CHOICE OF FIRM-SPECIFIC VERSUS SECTOR-SPECIFIC CPT COEFFICIENTS
One method of examining the ability of a firm to pass-through compliance-related cost increases associated with
the Phase III regulation is to review the firm's historical performance in passing on previous cost increases to
consumers. For example, Ashenfelter et al. (1998) estimate the cost pass-through rate facing an individual firm,
and distinguish that rate from the rate at which a firm passes through cost changes common to all firms in an
industry, by regressing the price a firm charges on both its costs and the costs of another firm in the industry. The
estimated firm-specific CPT rate relates a change in the prices charged by a specific firm to a change in its
production costs, assuming no changes in the production cost for rival producers of that product. However,
estimating firm specific CPT rates is extremely complex. For example, in order to estimate firm-specific CPT
rates for every Phase III manufacturing firm included in the sample of Detailed Industry Questionnaire (DQ)
respondents, EPA would require, for each firm, detailed information on the products sold, the markets in which
these products are sold, as well as information identifying major competitors in each market. The Detailed
Industry Questionnaire did not obtain this information from surveyed facilities. And even if such information
were available, the analysis would remain highly challenging and subject to significant analytic error. As such, it
B3A3-1
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
is neither possible nor practical to develop firm-specific CPT coefficients for the sample of Phase III
manufacturers.
Moreover, even if the Agency possessed the data necessary to estimate firm-specific CPT rates, it is questionable
whether these rates would be the appropriate measure of CPT potential for compliance-related cost increases
stemming from the Phase III regulation. The Phase III regulation would force multiple firms in each of the
industry sectors considered in this analysis to incur compliance-related cost increases, which implies that for most
firms the cost increases would not only apply to them, but also to several of their competitors. Not surprisingly,
previous studies have found that the CPT rate for changes to an individual firm's cost differs from the rate at
which a firm would pass through cost changes that are common to all, or a substantial fraction of, firms in an
industry (Ashenfelter et al., 1998). It can be reasonably expected that the higher the share of firms incurring the
cost increase, or more appropriately the higher the share of total output produced by such firms, the greater the
ability of those firms to pass on a greater portion of those costs to the consumer.
In cases where an industry-wide cost shock occurs, an industry-wide CPT rate would be an appropriate and
practical way of assessing the potential of all firms in that industry to pass through that cost increase to consumers
(EPA, 2003). An industry-wide CPT rate provides an estimate of the change in each facility's output prices as a
function of the increase in its production costs, assuming that the same cost increase is experienced by all firms in
the industry. Such an industry-wide rate is relatively easier to estimate than firm-specific cost pass-through rates
if one assumes that perfect competition exists in the industry. Among other things, perfect competition implies
the existence of product homogeneity within the industry, homogeneity of production technology among firms in
the industry, and homogeneity of production costs among firms (i.e., pricing is at marginal cost). Under these
conditions, the price response to a general industry-wide change in production costs is likely to be industry-wide
and similar across all firms. For example, in support of the recently promulgated Metal Products &Machinery
(MP&M) industry effluent guidelines, EPA's Office of Water (OW) estimated industry-specific CPT rates since a
large fraction of establishments in these industries were expected to be subject to the regulation. EPA estimated
these CPT rates by regressing annual output price indices on annual input cost indices for the MP&M industry.
The estimated CPT coefficients were validated by a market structure analysis which assessed, for each industry,
the potential market power enjoyed by firms in the industry and the consequent implications it had on their ability
to pass through compliance-related costs.
Industry-wide CPT rates can be estimated for the Phase III manufacturing sectors based on the methodology used
for deriving industry-wide CPT rates for industries covered by the MP&M regulation. However, because the
proposed regulation would only affect those facilities that operate a CWIS to withdraw cooling water from
surface waterbodies, only a subset of facilities in each industry sector would incur compliance-related cost
increases. As the cost increase associated with the proposed regulation is not industry-wide, it is questionable
whether industry-wide CPT rates are appropriate for estimating the price response of firms in the five industry
sectors considered in the analysis of Phase III impacts. If a substantial portion of production in each industry
occurs at facilities not subject to the proposed regulation, then the use of industry-wide CPT rates may grossly
overestimate the ability of firms in these industries to pass-through compliance-related costs to consumers.
To assess the reasonableness of using industry-wide CPT rates in the analysis of impacts to Phase III
manufacturers, EPA estimated the percentage of total production in each of the five industry sectors considered in
this analysis that occurs at facilities potentially subject to compliance-related cost increases. Value of shipments,
a measure of the dollar value of production, was selected for the basis of this estimate. Because value of
shipments data were not collected using the DQ, these data were not available for the sample of Phase III
manufacturing facilities potentially subject to the proposed regulation. As such, total revenue, as reported on the
DQ, was used as a close approximation to value of shipments for these facilities. EPA estimated the total revenue
subject to the proposed regulation by multiplying the 1998 revenue of facilities in the sample of Phase III
manufacturers that were determined to be potentially subject to the proposed regulation by their facility sample
weights and summing across all facilities. Total value of shipments estimates for each industry were obtained
from the 1998 Annual Survey of Manufacturers. Table B3A3.1 summarizes the findings of this analysis.
B3A3-2
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
Table B3A3.1: Proportion of Value of Shipments Potentially Subject to Compliance-Related
Costs Associated with the Phase III Regulation (1998)
SIC
26
28
29
331
333/35
Industry Sector
Paper and allied products
Chemicals and allied products
Petroleum and coal products
Steel
Aluminum
Revenue for Facilities
Subject to Phase IH
Regulation
(Millions 1998$)
$55,143
$61,179
$47,832
$38,423
$12,096
Total Value of
Shipments
(Millions 1998$)
$84,911
$268,000
$118,156
$76,182
$19,266
Proportion of Total
Value of Shipments
Potentially Subject to
Phase in Regulation
65%
23%
40%
50%
63%
Notes: For the purpose of this analysis, facility revenue was used as an appropriate surrogate in the absence of value of shipments for
sample facilities.
Source: Section 316(b) Detailed Industry Questionnaire and 1998 Annual Survey of Manufacturers.
As shown in Table B3A3.1, the proportion of total value of shipments potentially subject to the Phase III
regulation ranges from 23 percent to 65 percent depending on the industry considered. The actual proportion of
total value of shipments subject to regulation-induced compliance costs would be smaller since not all of the
potentially regulated facilities would be subject to meet the national categorical requirements of the proposed
Phase III regulation: that is, facilities below the proposed design intake flow (DIP) would be subject to permitting
based on best professional judgement (BPJ) rather than based on national standards, and several facilities
currently employ baseline technologies that meet the requirements of the proposed regulation. Given that less
than 65 percent of the total value of shipments in each of the five industries considered in this analysis would be
subject to regulation induced compliance costs, and the likelihood that these percentages represent upper bound
estimates, EPA believes that the theoretical threshold for justifying the use of industry-wide CPT rates in the
Phase III impact analysis has not been met. The Agency believes that using industry-wide CPT rates in the
analysis of Phase III impacts would overestimate the cost pass-through ability of firms incurring regulation-
induced compliance costs, and thus underestimate impacts. At the other end of the spectrum, however, an
assumption of zero CPT would provide a conservative estimate as it would assume that all facilities incur one
hundred percent of cost impacts.
Given the inability to estimate firm-specific CPT rates and the finding that the use of industry-wide CPT rates
would not be appropriate, EPA next conducted a market structure analysis to investigate the extent to which firms
in the five industry sectors enjoy sufficient market power to pass compliance-related costs on to consumers in the
form of higher prices.
B3A3-2 MARKET STRUCTURE ANALYSIS
Information on the competitive structure and market characteristics of an industry provide insight into the likely
ranges of supply and demand elasticities and the sensitivity of output prices to input costs. For example, when
input costs increase, the profit-maximizing firm attempts to maintain its profits by increasing output prices, to the
extent permitted by market power. The amount of the cost increase that the firm can pass on as higher prices
depends on the relative market power of the firm and its customers. The market structure analysis described in
this section attempts to measure the market power enjoyed by firms in each of the five industries. This analysis is
combined with information from industry review documents such as McGraw Hill's U.S. Industry and Trade
Outlook to reach conclusions regarding the CPT ability of firms in each industry.
B3A3-3
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
The market structure analysis consists of a review of economic data for the following four indicators of market
power: industry concentration; import competition; export competition; and long term growth. Each of these
indicators is discussed in detail below. EPA notes that the impact of each of these four indicators of market
power varies from industry to industry. Furthermore, the results presented for each indicator must be interpreted
with caution because even though for a particular industry an indicator may predict high cost pass-through
potential, the specific features of the industry may result in the indicator having diminished significance in
predicting market power.
B3A3-2.1 Industry Concentration
The extent of concentration among a group of market participants is an important determinant of that group's
market power. A group of many small firms typically has less market power than a group of a few large firms,
because the latter are in a more advantageous position to collude with each other. All else being equal, highly-
concentrated industries are therefore expected to pass-through a higher proportion of the compliance costs that
would result from the Phase III regulation.
This analysis uses the Herfindahl-Hirschman Index (HHI) as a measure of market concentration1. The HHI is
calculated by squaring the market share of each firm competing in the market and then summing the resulting
numbers. For example, for a market consisting of four firms with shares of thirty, thirty, twenty and twenty
percent, the HHI is 2600 (302 + 302 + 202 + 202 = 2600). The HHI takes into account the relative size and
distribution of the firms in a market and approaches zero when a market consists of a large number of firms of
relatively equal size. The HHI increases both as the number of firms in the market decreases and as the disparity
in size between those firms increases. Based on the U.S. Department of Justice's guidelines for evaluating
mergers, markets in which the HHI is under 1000 are considered unconcentrated, markets in which the HHI is
between 1000 and 1800 are considered to be moderately concentrated, and those in which the HHI is in excess of
1800 are considered to be concentrated.
The accuracy of any analysis of market power originating from industry concentration depends to a large extent
on properly defining the relevant market. A well-defined market requires the inclusion of all competitors and the
exclusion of all non-competitors. Defining the relevant market too narrowly overstates market power, while
defining the market too broadly would underestimate it. The four-digit SIC category, while not a perfect
delineation, is most often used by industrial organization economists in their studies because, among publicly
available data sources, these industries appear to correspond most closely to economic markets (Waldman &
Jensen, 1997). Therefore, in Table B3A3.2 below, industry concentration data is presented for each of the four-
digit SIC codes that include at least one potentially regulated Phase III facility for which DQ data are available.
1 The Herfindahl-Hirschman Index was chosen because it provides a more complete picture of industry concentration compared to
other measures such as the four-firm and eight-firm concentration ratios. The HHI uses the market shares of all the firms in the industry,
and these market shares are squared in the calculation to place more weight on the larger firms. In contrast, the four- and eight-firm
concentration ratios do not use the market share of all firms in the industry, and nor do they provide information about the distribution of
firm size. For example, if there were a significant change in the market shares among the firms included in the ratio, the value of the
concentration ratio would not change.
B3A3-4
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
Table B3A3.2: Herfindahl-Hirschman Index for Four-Digit SIC
SIC
SIC Description
Industry
Hffl
Unconcentrated Markets (HHI < 1,000)
2679
2899
3317
3315
2821
2869
2834
2621
2911
2865
2631
3312
3316
2819
2873
2611
Converted Paper Products, N.E.C.
Chemical Preparations, N.E.C.
Steel Pipe and Tubes
Steel Wire and Related Products
Plastics Materials and Resins
Industrial Organic Chemicals, N.E.C.
Pharmaceutical Preparations
Paper Mills
Petroleum Refining
Cyclic Crudes and Intermediates
Paperboard Mills
Blast Furnaces and Steel Mills
Cold Finishing of Steel Shapes
Industrial Inorganic Chemicals, N.E.C.
Nitrogenous Fertilizers
Pulp Mills
Paper and Allied Products
Chemicals and Allied Products
Steel
Steel
Chemicals and Allied Products
Chemicals and Allied Products
Chemicals and Allied Products
Paper and Allied Products
Petroleum and Coal Products
Chemicals and Allied Products
Paper and Allied Products
Steel
Steel
Chemicals and Allied Products
Chemicals and Allied Products
Paper and Allied Products
143
190
194
201
284
336
341
392
414
428
438
551
604
677
792
858
Moderately Concentrated Markets (1,000 < HHI < 1,800)
3313
2676
3334
2874
2841
2813
3353
2816
2812
2824
2833
Notes:
Source
Electrometallurgical Products
Sanitary Paper Products
Primary Aluminum
Phosphatic Fertilizers
Soap and Other Detergents
Industrial Gases
Aluminum Sheet, Plate, and Foil
Concentrated Markets
Inorganic Pigments
Alkalies and Chlorine
Organic Fibers, Noncellulosic
Medicinals and Botanicals
HHI not available for SIC 2823.
: Economic Census 1992.
Steel
Paper and Allied Products
Aluminum
Chemicals and Allied Products
Chemicals and Allied Products
Chemicals and Allied Products
Aluminum
(1,800 < HHI)
Chemicals and Allied Products
Chemicals and Allied Products
Chemicals and Allied Products
Chemicals and Allied Products
1,103
1,451
1,456
1,528
1,584
1,629
1,633
1,910
1,994
2,158
2,999
B3A3-5
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
Table B3A3.2 reveals that based on their HHI, 16 four-digit SIC markets can be classified as unconcentrated, 7
can be classified as moderately concentrated, and only 4 can be classified as concentrated. Notably, all 4 of the
four-digit SIC categories listed as being concentrated belong to the Chemicals and Allied Products industry.
From a market power perspective, Table B3A3.2 seems to suggest that at the four-digit SIC level only four SIC
categories are sufficiently concentrated to argue that firms may possess sufficient market power to pass-through a
portion of their compliance-related costs assuming that competitor firms in the same industry do not incur similar
cost increases.
To further examine the level of concentration in each of the five industry sectors, EPA decided to analyze HHI at
the industry level as well. The Industry-level HHI for each sector was calculated as the average of each four-digit
SIC HHI belonging to that sector, weighted by the value of shipments for that SIC. EPA notes that aggregating
HHI for four-digit SIC categories into industry HHI are likely to yield estimates that in general understate market
power. Nonetheless, estimated industry HHI should still provide meaningful insight into market power of firms
in the industry because firms in each industry still produce similar or related products (for example, paper
products, chemicals, and etc.). Estimated Industry HHI are presented below in Table B3A3.3.
Table B3A3.3: Herfindahl-Hirschman Index by Industry
SIC
29
331
26
28
333/5
Source:
Industry
Petroleum and Coal Products
Steel
Paper and Allied Products
Chemicals and Allied Products
Aluminum
U.S. EPA Analysis, 2004.
Hffl
414
478
643
715
1,570
Table B3A3.3 reveals that, at the industry level, the estimated HHI for four of the five industries are quite small,
implying that they are unconcentrated markets and within these industries individual firms do not enjoy much
market power. Notably, the Chemicals and Allied Products industry has a low HHI, which suggests that the 4
four-digit SIC categories that were classified as having concentrated markets in reality make up a very small
segment of the Chemicals and Allied Products industry. Thus, from the perspective of the Phase III regulation,
the majority of firms in this industry have small market power. In addition, EPA notes that only 23 percent of
production in this is industry would potentially be subject to compliance-related cost increases, which suggests
that the cost pass-through potential of firms from this sector incurring such expenses would be severely curtailed.
An important finding in Table 3 is that the Aluminum industry, which is categorized at the three-digit SIC level,
appears to be moderately concentrated. Thus, based solely on an analysis of industry concentration, it would
appear that firms in the Aluminum industry may enjoy moderate amounts of market power, which may enable
them to pass through costs at a more than negligible rate. However, as cautioned at the beginning of the market
structure analysisok, an accurate judgement of the market power enjoyed by firms in an industry must be reserved
until all indicators have been analyzed.
B3A3-2.2 Import Competition
Theory suggests that imports as a percent of domestic sales are negatively associated with market power because
competition from foreign firms limits domestic firms' ability to exercise such power. Firms belonging to sectors
in which imports make up a relatively large proportion of domestic sales would therefore be at a relative
disadvantage in their ability to pass-through costs compared to firms belonging to sectors with lower levels of
import penetration, the measure of import competition used in this analysis. Import penetration, the ratio of
B3A3-6
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 3 to Chapter B3
imports in a sector to the total value of domestic consumption in that sector, is particularly relevant because
foreign producers would not incur costs as a result of the Phase III regulation.
In this market structure analysis, EPA assumes that higher import penetration will generally imply that firms are
exposed to greater competition from foreign producers and would thus possess less market power to increase
prices in response to regulation-induced increases in production costs. EPA estimated import penetration ratios
for each industry as total imports in an industry divided by total value of domestic consumption in that industry;
where domestic consumption equals domestic production plus imports minus exports. Import penetration ratios
estimated using 1998 census data for the five industry sectors considered in this analysis are presented below in
TableB3A3.4.
Table B3A3.4: Import Penetration by Industry
SIC
26
28
29
331
333/5
T , Implied Domestic T
T , , Imports * .. Import
Industry /T..--II- finno*-. Consumption _ ,r ,.
J (Millions of 1998$) ,»„.,•• ™no^ Penetration
v ' (Millions of 1998$)
Paper and Allied Products
Chemicals and Allied Products
Petroleum and Coal Products
Steel
Aluminum
$13,137
$44,570
$10,711
$19,221
$5,189
$85,865
$263,404
$120,112
$88,645
$20,063
15%
17%
9%
22%
26%
Notes: Implied Domestic Consumption = Value of Shipments + Imports - Exports.
Source: 1998 U.S. Bureau of Census data.
The estimated import penetration ratios for the five industries range from 9 percent to 26 percent for the year
1998. The estimated import penetration ratio for the entire U.S. manufacturing sector (SIC 20-39) for the same
year is 19 percent. Considering that the United States is an open economy, EPA believes it is reasonable to
assume that in industries with import penetration ratios close to or above 19 percent domestic firms most likely
face stiff competition from foreign firms. Such competition is likely to curtail the market power enjoyed by
domestic firms and given the scenario that regulation-induced cost increases are not incurred by foreign producers
would limit the ability of domestic firms to pass-through such costs. Thus, based on the import penetration ratios
presented in Table 4, only firms in the Petroleum and Coal Products Industry appear to be in a position to pass-
through to consumers a significant portion of compliance-related costs associated with the Phase III regulation.
However, given the low HHI for this industry EPA believes that existing market competition among domestic
firms most likely nullifies any favorable influence the lack of foreign competitors would have on increasing the
market power of firms in this industry. EPA also highlights the above average import penetration ratios for the
Steel and Aluminum industries which suggest low market power for firms in this industry. With respect to the
Aluminum industry, this fact may offset - from a market power perspective - the finding that the industry was
identified above as being moderately concentrated. Thus, even though there are relatively few domestic
producers in the U.S. Aluminum industry, the notable presence of foreign producers in U.S. markets is likely to
markedly reduce their the market power.
B3A3-2.3 Export Competition
The Phase III regulation would not increase the production costs of foreign producers with whom domestic firms
must compete in export markets. As a result, firms in industries that rely to a greater extent on export sales would
have less latitude in increasing prices to recover cost increases resulting from regulation-induced increases in
production costs. They would therefore have a lower CPT potential, all else being equal.
B3A3-7
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 3 to Chapter B3
This analysis uses export dependence, defined as the percentage of shipments from an industry that is exported, to
measure the degree to which a sector is exposed to competitive pressures abroad in export sales. Firms in
industries with relatively high export dependence are expected to have lesser market power than those in
industries with relatively low export dependence due to their relatively larger reliance on sales in export markets.
Estimated export dependence ratios estimated using 1998 census data for the five industry sectors considered in
this analysis are presented below in Table B3A3.5.
Table B3A3.5: Export Dependence by Industry
SIC
Industry
Exports
(Millions of 1998$)
Value of Shipments
(Millions of 1998$)
Export Dependence
26
28
29
331
333/5
Source:
Paper and Allied Products
Chemicals and Allied Products
Petroleum and Coal Products
Steel
Aluminum
1998 U.S. Bureau of Census data.
$10,051
$49,932
$5,038
$5,268
$2,951
$82,778
$268,765
$114,439
$74,692
$17,825
12%
19%
4%
7%
17%
The estimated export dependence ratios for the five industries range from 4 percent to 19 percent for the year
1998. The estimated export dependence ratio for the entire U.S. manufacturing sector for the same year is 23
percent. Thus, for all five industries, their export dependence ratio is below the average for the U.S.
manufacturing sector. This finding implies that none of the five industries are characterized by strong competitive
pressures from foreign firms/markets, and thus market power and CPT potential are not diminished by export
dependence. However, it is questionable whether this effect works as strongly in the opposite direction, i.e., firms
in an industry will have a comparatively high cost pass-through potential simply because firms in that industry are
not active in export markets. From the standpoint of firms gaining market power, EPA believes that the finding of
low export dependence diminishes the importance of export competition as an indicator of market power. Thus,
the other three indicators must be relied upon to gauge the amount of market power that firms in each industry are
expected to hold. For example, even though the Petroleum and Coal Products and Steel industries have extremely
low export dependence, the low market concentration in these industries leads EPA to believe that market power
held by individual firms is likely to be quite small. In addition, as discussed later in this memo, recent trends in
the Steel industry provide good reason to believe that firms in this industry are unlikely to be able to pass through
a notable portion of regulation-induced cost increases given the current business environment they face.
B3A3-2.4 Long-Term Industry Growth
An industry's competitiveness and the ability of firms to engage in price competition are likely to differ between
declining and growing industries. Most studies have found that recent growth in revenue is positively related to
profitability (Waldman & Jensen, 1997), which suggests a greater ability to recover costs fully.
To examine trends in long-term growth for each of the five industry sectors considered in this analysis, EPA
estimated the average annual growth rate in the value of shipments between 1989 and 1998 for each industry
using data available from the U.S. Bureau of Census2. EPA expects firms in sectors with higher growth rates to
be better positioned to pass through compliance costs rather than being forced to absorb such cost increases in
order to retain market share and revenue. The results of this analysis are presented in Table B3A3.6.
2 The period from 1989 to 1998 represents the most recent ten year period that includes data consistent with the survey period for the
Detailed Industry Questionnaire (1996-1998).
B3A3-&
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
Table B3A3.6: Average Annual Growth Rates by Industry
Average Annual Growth
SIC Industry Rate in Value of
Shipments (1989 to 1998)
26
28
29
331
333/5
Paper and Allied Products
Chemicals and Allied Products
Petroleum and Coal Products
Steel
Aluminum
-0.3%
1.5%
0.6%
0.4%
-2.2%
Notes: Average Annual Growth Rate for the Petroleum and Coal Products industry
has been estimated for the years 1989 to 1997. The reported value of shipments for
this industry in 1998 is significantly lower than in earlier years and therefore was
excluded from this analysis as an outlier.
Source: U.S. Bureau of Census data.
Table B3A3.6 shows that of the five industries specifically considered for this analysis, two industries
experienced negative growth over the 1989 to 1998 time period and another two experienced only marginal
growth. Only the Chemicals and Allied Products industry experienced what may be qualified as moderate
growth, displaying an average annual growth rate of 1.5 percent. Based on the U.S. Industry and Trade Outlook
'99, annual growth in manufactures over the period 1993 to 1998 was over 2 percent in all years, and over 4
percent in four of the six years in that period (the figures reported for 1997 and 1998 are estimates). An
examination of the growth rate for the Chemicals and Allied Products industry for the same six year period (1993-
98) revealed a growth rate of 2.4 percent. Comparing the average annual growth rate for the Chemicals and
Allied Products industry with that of the entire manufacturing sector, and comparing overall growth in this sector
with the growth experience by the manufacturing sector taken as a whole between 1993 and 1998 suggests that its
performance in general was below average. Thus, in the absence of strong growth performance during the 1990s
for all five industries, it is unlikely that firms in any of these industries acquired significant market power on
account of growing demand for their products. In effect, the long-term growth performance of all five industries
does not support a conclusion that firms in these industries are in a strong position to pass on a significant portion
of their compliance costs.
B3A3-2.5 Conclusions
Given that less than 65 percent of the total value of shipments in each of the five industries considered in this
analysis would be subject to regulation-induced compliance costs, and the likelihood that these percentages
represent upper bound estimates, the likelihood that firms incurring such costs would be able to pass through to
consumers a material portion of 316(b) compliance costs is small. To validate this hypothesis, EPA undertook the
market structure analysis presented in the previous section. In general, the weight of evidence from the market
structure analysis suggests that firms in all five industries are unlikely to posses significant amounts of market
power, thereby lending support to EPA's hypothesis that most firms would not be in a position to pass-through a
significant portion of compliance costs.
The analysis of individual indicators under the market structure analysis did reveal a few exceptions to the general
finding of low market power in all industries. However, considering the combined impact of all four indicators of
market power together with information on recent economic trends in these industries suggests that on the whole,
firms in each of the five industries hold relatively low market power and CPT potential. For example, the
estimated HHI for the Aluminum industry indicated that this sector is moderately concentrated, which would
potentially allow firms in this industry to pass through a significant portion of their compliance-related costs. In
B3A3-9
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
contrast, however, the market structure analysis also found that the domestic Aluminum industry witnessed a
sustained decline in production during the 1990s and also faces stiff competition from foreign producers in its
U.S. markets. As discussed in the profile of this industry, in the early 1990s the domestic Aluminum industry was
affected by reduced U.S. demand and the dissolution of the Soviet Union, which resulted in dramatic increases in
Russian exports of aluminum. The recovery that followed was subsequently affected by the economic crises in
Asian markets in the second-half of the 1990s, which along with growing Russian exports, again resulted in a
period of oversupply. These trends, which are reflected in the negative average annual growth rate and high
import penetration for the domestic Aluminum industry, suggest that domestic firms in this industry hold
relatively low market power and are not in a position to pass through significant portions of their compliance-
related cost increases. Overall, the balance of the argument in favor of and against high cost pass-through in the
Aluminum industry rests with the indicators that argue against it; the lack of domestic competition in the industry
is more than offset by the existence of stiff competition from foreign producers and the general decline witnessed
by the domestic industry. Similarly, in the case of all other exceptions found in the market structure analysis, the
weight of evidence - when all four indicators of market power are considered together - rests with the indicators
that suggest low market power and CPT potential.
Based on the findings of the market structure analysis, EPA decided to assume a zero CPT rate for all five
industries in the analysis of Phase III impacts. EPA believes that this assumption is reasonable given the results
of the market structure analysis and is definitely superior to using industry-wide CPT rates. In addition, EPA
notes that by assuming a CPT rate of zero for all industries, the analysis of Phase III impacts takes a conservative
approach in that the analysis assumes that facilities would incur one hundred percent of compliance costs. Thus,
whereas an overstated CPT rate may erroneously underestimate impacts for facilities incurring compliance-related
cost increases, the use of a conservative CPT rate of zero errs on the side of caution, thus potentially overstating
impacts to affected facilities.
B3A3-10
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
REFERENCES
Ashenfelter, Orley; David Ashmore; Jonathan B. Baker; and Signe-Mary McKernan. (1998), "Identifying the
Firm-Specific Cost Pass-Through Rate," FTC Working Paper No. 217, January.
McGraw-Hill (1999), U.S. Industry and Trade Outlook '99. McGraw-Hill Companies.
Waldman, Don E. and Elizabeth J. Jensen (1997), Industrial Organization: Theory and Practice.
Addison-Wesley.
U.S. Department of Commerce (U.S. DOC). 1989, 1992, and 1997. Bureau of the Census. Census of
Manufactures.
U.S. Department of Commerce (U.S. DOC). 1988-1991, 1993-1996, and 1998. Bureau of the Census. Annual
Survey of Manufactures.
U.S. EPA, Office of Water (2003), Effluent Limitations Guidelines and New Source Performance Standards for
the Metal Products and Machinery Point Source Category.
B3A3-11
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 3 to Chapter B3
THIS PAGE INTENTIONALLY LEFT BLANK
B3A3-12
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
Appendix 4 to Chapter B3:
Adjusting Baseline Facility Cash Flow
INTRODUCTION CHAPTER CONTENTS
B3A4-1 Background: Review of Overall Business
Conditions B3A4-2
B3A4-2 Framing and Executing the Analysis . . B3A4-4
B3A4-2.1 Identifying the Financial Data Concept to
Be Analyzed B3A4-4
B3A4-2.2 Selecting Appropriate Data B3A4-5
B3A4-2.3 Selecting Industry Groups and Firms for
Use in the Analysis B3A4-7
B3A4-2.4 Structuring the Analysis B3A4-9
B3A4-3 Summary of Findings B3A4-10
B3A4-4 Developing an Adjustment Concept . B3A4-14
References B3A4-18
To support its analysis of the economic impact of the
316(b) Phase III regulation, EPA collected
economic/financial data for the three years 1996-1998
from a sample of facilities in the manufacturing
industries primarily expected to be subject to the Phase
III regulation. These facility economic/financial data
are used to gauge the potential economic/financial
impact of regulatory compliance: the facilities and their
financial data serve as models for testing the financial
effect of regulatory alternatives. For this analysis to
provide valid insight into the ability of the affected
industries to meet regulatory requirements without
material adverse impact, the sample facility data should reflect business conditions that might be reasonably
anticipated at the time of compliance.
In performing its impact analyses using these data, EPA was concerned in two ways that the facility survey data
might yield erroneous conclusions.
*• First, knowing that U.S. business conditions during the latter half of the 1990s were cyclically strong,
EPA was concerned that business conditions during the 316(b) survey period (1996-1998) might be
abnormally favorable for some of the five manufacturing sectors covered in the Phase III analysis. In this
case, the business performance and valuation measures, which are based on survey data, used to assess the
burden of regulatory compliance costs might overstate industry's ability to bear these costs and therefore
understate the potential impact of the Phase III regulation.
*• Second, apart from the issue of short-term deviation from trend caused by a cyclically strong economy,
EPA was also aware from its profile analyses that some of the industries might be experiencing a
longer-term trend of deteriorating performance. Using sample facility data that don't reflect such possible
trends would again potentially overstate industry's ability to bear compliance costs and therefore
understate the potential impact of the Phase III regulation.
Given these concerns, EPA analyzed for the manufacturing industries (1) whether business conditions were
"abnormally favorable" during the survey period and (2) whether business performance over a longer term might
be following a non-neutral - in particular, negative - trend. This analysis validated EPA's concerns that use of
unadjusted survey data might yield erroneous conclusions from the facility impact analysis. From the findings of
this analysis, EPA developed a basis for adjusting survey financial data to account for these effects: short-term
deviation from trend and non-neutral trend.
This appendix documents EPA's analysis and development of adjustment factors for the 316(b) Phase III
manufacturing industries.
B3A4-1
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
B3A4-1 BACKGROUND: REVIEW OF OVERALL BUSINESS CONDITIONS
As background for its analysis, EPA reviewed general economic data over the past several years to assess whether
business conditions during the survey data collection period of 1996-1998 might be generally perceived as
abnormally favorable for the U.S. economy, as a whole. This review confirmed the concern that business
conditions in 1996-1998 were generally more favorable than the average of conditions over a longer time period.
Figures B3A4.1-B3A4.3 present annual and average values for the period 1985-2003 for three measures of
general economic performance:
Figure B3A4.1: Growth in Real Gross Domestic Product, 1985-2003. This exhibit, based on data published
by the Department of Commerce, Bureau of Economic Analysis, focuses on the growth trend of the broad
economy, including all sectors. Growth stronger than the average trend would indicate a strongly expanding
economy and would generally indicate strong business performance.
Figure B3A4.2: Capacity Utilization in Manufacturing Industries, 1985-2003. This exhibit, based on U.S.
Federal Reserve Bank data, reports the rate of capital utilization for all manufacturing sectors. All else equal,
when the rate of capital utilization is higher than the average trend, demand for manufacturing output is strong
and manufacturing business performance would be generally strong.
Figure B3A4.3: Growth in Industrial Production, 1985-2003. Like the preceding exhibit, this exhibit is based
on data published by the U.S. Federal Reserve Bank and reports the rate of growth in the Federal Reserve's
Industrial Production Index, which is a measure of the real output of the manufacturing industries. Growth
stronger than the average trend would indicate a strong expansion in the manufacturing industries and would
generally indicate strong manufacturing business performance.
In each case, the annual values in the period 1996-1998 are above the average trend line, indicating stronger
overall economic performance in the survey data collection period than for the longer period presented in the
charts. The data show a consistent year-by-year pattern over the 1996-1998 period:
*• 1996: The values for 1996 are above the longer-term average trend but are the lowest of the values for the
three years.
*• 1997: The values for 1997 are the highest of the values for the three years.
*• 1998: The values for 1998 fall between the 1996 and 1997 values. In the case of industrial production
and capacity utilization in manufacturing industries, 1997 is the peak performance year over the 1990s
decade and is followed by a decline in 1998 and subsequent years leading to the recession period in 2001.
In the case of GDP growth, the fall-off in 1998 (from 1997) is followed by one more year of strong
growth in 1999. Afterwards, GDP growth turns sharply lower during 2000, the recession year of 2001,
and subsequent years. As is widely acknowledged in general business conditions analyses, economic
weakness during the 2000-2003 period began earlier in the manufacturing industries than in the general
economy.
B3A4-2
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 4 to Chapter B3
Figure B3A4.1: Growth in Real Domestic Product, 1985-2003
5.0% -
"c
o 4.0% -
CD
Q_
Q 3.0% -
o
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| 2.0% -
0
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g 1-0%-
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(5 0.0% -
0)
>-
-1.0% -
«l A ^ / _*_ \
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\ /v v \ /
\ / VZ
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1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
Year
» Growth, Real GDP Average Growth, GDP
Figure B3A4.2: Capacity Utilization in Manufacturing Industries, 1985-2003
84 00 -
c 8? 00
o
cu
°- 80 00 -
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In 78 00
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— ' 76 00 -
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1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
Year
— • — Capacity Utilization ^^— Average Capacity Utilization
B3A4-3
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 4 to Chapter B3
Figure B3A4.3: Growth in Industrial Production, 1985-2003
8.0%
6.0%
4.0%
.£ 2.0%
T3
2
CL
O
O
ra
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
calculate the business value of a sample facility, on both a baseline - i.e., before imposition of compliance costs -
and post-compliance basis. Using this, or a closely related, measure in the analysis of financial performance at
the time of the facility survey would therefore support a direct test of whether and how the survey financial data -
to be subsequently used in the facility impact analysis - might reflect cyclically favorable conditions or differ
from the longer term trend of financial performance in an analysis. If either or both of these conditions were
found, the data would also readily support development of a necessary adjustment to offset these potential biases
in the survey data.
EPA recognized that the after-tax, pre-interest cash flow measure used in the facility impact analysis would very
likely not be directly available from financial datasets that might be practically used in this analysis. However,
reasonable surrogates for this measure that would likely be available include: after-tax cash flow from operations
(net income plus depreciation and amortization); earnings before interest, taxes, depreciation and amortization
(EBITDA); net income; and earnings before interest and taxes (EBIT).
B3A4-2.2 Selecting Appropriate Data
Other key requirements of the data to be used in the analysis include:
*• The financial data need to be a time series, preferably annual, over a sufficiently long period (and
including the survey period) to allow testing of (1) whether survey period business conditions were
cyclically favorable; and (2) whether financial performance in the industries exhibits a longer-term, non-
neutral trend.
*• The data need to be at a sufficient level of industry resolution to account for variations in business
conditions and performance not only across the five manufacturing sectors but also within certain sectors,
where there may be substantial variation in performance by important segments. Of particular importance
is the ability to segment the chemicals sector into its segments such as basic chemicals and
Pharmaceuticals, and the primary metals sector into the ferrous and non-ferrous metals segments.
Based on these requirements, EPA selected the Value Line Investment Survey firm financial dataset as the data
source for this analysis. The Value Line dataset meets analysis requirements as follows:
*• The general company dataset of the Value Line Investment Survey (VL) reports summary financial
information for nearly all publicly traded companies in the United States for a 12-year period, 1992-2003,
which includes the 1996-1998 Phase III survey period. The individual years in this 12-year period may
be categorized in three broad categories of economic performance: (1) six years of "normal" economic
performance - 1992-1996 and 2000; (2) three years of "subnormal" economic performance - 2001-2003;
and (3) three years of years of "supra-normal" economic performance - 1997-1999. The 12-year period
thus captures reasonable diversity of business conditions before, after, and during the survey period. By
including financial results for full-year 2003, the dataset also comes as close as possible to the present
(2004) and thus would provide a basis for adjusting facility baseline financial data to essentially current
conditions.
*• VL identifies and groups companies in a business content classification scheme that approximates 3-digit
SIC or 4-digit NAICS classifications. These business classifications support identification of firms within
the Phase III manufacturing industries at a level of sector detail sufficient for this analysis. Because (1)
the dataset is by company instead of by aggregate groups and (2) the business classifications are defined
by practical business content instead of in a rigid SIC or NAICS classification scheme, the VL dataset
B3A4-5
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
avoids the challenge confronted elsewhere in the Phase III analysis of the change in economic
classification schemes and resulting inconsistency of aggregated data series over the year of the change1.
*• The VL dataset reports key accounting items that will readily support calculation of a financial metric,
after-tax cash flow, that very nearly matches the principal financial metric (after-tax, pre-interest cash
flow) underlying the Phase III facility impact analysis.
EPA recognizes that the VL dataset, by definition, excludes firms that are not publicly traded. The studied
industries include private, non-publicly traded firms, for which no comparable database of financial information is
available. As a result, use of the VL dataset in this analysis could yield findings that are not representative of the
overall industry, including the non-publicly traded firms, to the extent that non-public firms in the studied
industries faced materially different business conditions or achieved materially different business performance
than publicly traded firms in the same industries. Overall, EPA expects that the business conditions faced by, and
performance achieved by, non-public firms in the studied industries are not likely to have been materially
different from those of the public firms. As a result, EPA judges that use of the VL dataset for this analysis is
appropriate and likely to yield reasonably representative findings for to overall industries, including publicly
traded and non-traded firms.
In addition to the VL dataset, EPA considered a range of other data sources, including:
*• Economic and business performance data published by the Federal Reserve, in particular the Federal
Reserve Economic Data (FRED IT) data series compiled by the Federal Reserve Bank of St. Louis.
*• The Quarterly Financial Report for Manufacturing, Mining, and Trade Corporations (QFR) published by
the U.S. Census Bureau.
*• Data series from the Bureau of Economic Analysis and data specifically available in The Survey of
Current Business.
These data sources were each deficient for the analysis in some material way, including:
*• Data being too aggregate to provide the industry sector and sub-sector level of resolution needed to assess
business conditions and trends within the Phase III manufacturing sectors.
*• Data items being descriptive of general economic/financial conditions in an industry but not being
sufficiently close to the financial performance concept needed for the analysis.
*• Data being reported in inconsistent economic classification frameworks over the desired analysis period.
In addition to the problem of the SIC/NAICS break itself, data are sometimes reported at different levels
of resolution before and after the SIC/NAICS break - e.g., at a 4-digit or finer level in the NAICS
framework but only 2-digit level of resolution in the SIC framework.
*• Data not being readily available in an electronic format needed for efficient performance of the analysis.
B3A4-2.3 Selecting Industry Groups and Firms for Use in the Analysis
As discussed above, VL organizes firms by industry groups, which, in most instances, approximate 3-digit SIC or
4-digit NAICS classifications. From review of the VL industry groups and the 316(b) Phase III manufacturing
industries, EPA selected 10 VL industry groups and the firms within these industry groups as candidates for this
1 As described in the industry profiles, the change from SIC-based to NAICS-based reporting of economic data by federal
government and other data sources at around 1997/98 created difficulties in aligning and ensuring consistency of time series data that are
organized within these frameworks.
B3A4-6
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
analysis. Following review of the firms within these industry groups, EPA retained 6 firms for use in this
analysis. Key considerations in selecting the firms are as follows:
*• The selected VL industry groups are those that most closely correspond to the 316(b) Phase III
manufacturing industries.
*• Within the industry groups, only those firms whose business operations reasonably match the profile of
business activities of the 316(b) Phase III manufacturing industries were considered candidates for the
analysis. In some industry groups, a substantial number of firms included in the VL industry groups
were excluded from the analysis:
*• VL includes Aluminum industry firms in its Metals and Mining industry group. However, most firms
in this VL industry group are not involved in the Aluminum industry and thus were excluded from the
analysis dataset.
*• EPA retained from the Paper and Forest Products group only those firms engaged in pulp mill, paper
mill and/or paper and paperboard manufacturing operations. Firms engaged only in timber and
lumber production were excluded from the analysis.
*• EPA retained only those firms that are based in the United States or Canada, and for which financial
information is available in U.S. dollars.
*• After defining an initial set of firms according to these procedures and criteria, EPA retained only those
firms for which a full 12 years of data were available.
*• Finally, EPA excluded firms that had undergone a significant restructuring - e.g., a merger or
acquisition - which materially disrupted the continuity of financial reporting. Since the analysis to be
performed would start from a time series of cash flow, measured in absolute dollars - as opposed, for
example, to a time series of profit percentage values - including data from firms whose continuity of
financial reporting had been affected by merger or acquisition activity would tend to bias the analysis. In
particular, firms engaging in mergers and acquisitions that were accounted for on a purchase-accounting
basis instead of a pooling-of-interests basis, would be likely to show sudden jumps in revenue, net
income, and cash flow. These sudden jumps would bias the analysis by suggesting greater business
growth than could be reasonably be achieved by the firm or facilities within the firm on a simple, organic
growth basis. Similarly, large contractions in business volume resulting from divestiture or termination of
a line of business would bias the analysis in the downward direction. To apply this restriction, EPA
examined the year-to-year revenue profiles for all firms over the 12-year analysis period. EPA researched
annual reports and other financial reporting for those firms showing large increases or decreases from
year to year and excluded those firms where a material business event was found that would otherwise
disrupt the continuity of financial reporting. EPA followed this rule with only two exceptions. First, EPA
kept firms in the analysis when the only business event/disruption of financial reporting occurred in the
last year of financial reporting - 2003. EPA kept these firms in the analysis but excluded the final year of
data from the analysis. Second, in its research on one firm in the paper industry, EPA found that the firm
had recorded an unusual, non-recurring stock gain transaction in 1995 that caused revenue and net
income to increase abnormally in that year. Although the VL net income item used in the analysis
generally excluded income from unusual, non-recurring events, the VL data series did not exclude income
from this transaction. Because EPA had already set aside a substantial number of firms from the paper
industry, EPA decided to keep this firm in the analysis but exclude the single year of unusual financial
performance from the analysis dataset2. Applying this restriction substantially reduced the number of
2 EPA considered removing the non-recurring item from the income statement but, because of uncertainty about the correct tax
adjustment, rejected this approach.
B3A4-7
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 4 to Chapter B3
firms that were included in the analysis dataset. In particular, for the Aluminum industry, all of the firms
in the initial VL dataset were found to have some significant discontinuity of financial reporting.3
EPA organized these 60 firms into six 316(b) Industry Groups for the analysis. Table B3A4.1, below, lists the
VL industry groups, the 316(b) Phase III manufacturing industries and/or industry segments (as discussed in the
industry profiles) to which the VL industry groups approximately correspond, the 316(b) Industry Groups for this
analysis, and the number of VL firms used in the analysis for each industry group.
Table B3A4.1: Value Line Industry Groups Selected for Analysis
Value Line Industry
Group
Metals and Mining
Paper and Forest
Products
Chemical (basic)
Chemical (diversified)
Chemical (specialty)
Biotechnology
Drug
Petroleum (integrated)
Steel (General)
Steel (Integrated)
316(b) Phase HI
Manufacturing
Industry
Aluminum
Pulp and Paper Mills
Chemicals Industry
Chemicals Industry
Chemicals Industry
Chemicals Industry
Chemicals Industry
Petroleum Refining
Steel
Steel
316(b) Industry Segment(s)
(as relevant)
Organic Chemicals
Inorganic Chemicals
Organic Chemicals
Inorganic Chemicals
Plastics Material and Resins
Pharmaceuticals
Pharmaceuticals
316(b) Phase HI
Industry Group for
Analysis
Aluminum
Pulp and Paper Mills
Industrial Chemicals
Plastics Material and
Resins
Pharmaceuticals
Petroleum Refining
Steel
Number of Firms
Used in Analysis
none
6
15
15
4
6
14
Source: Value Line Investment Survey and U.S. EPA analysis, 2004.
B3A4-2.4 Structuring the Analysis
The general objectives of this analysis were to:
*• Test, by 316(b) Industry Group, whether after-tax cash flow performance deviated, during the 316(b)
survey data collection years, from normal performance over the 12-year analysis period.
*• Test, by 316(b) Industry Group, whether after-tax cash flow performance might be following a non-
neutral trend over the 12-year analysis period.
3 Because no Aluminum industry firms were able to be retained in the analysis, EPA was unable to develop an after-tax cash flow
adjustment factor for facilities in the Aluminum industry. EPA considered adjusting the pre-event financial statements for the Aluminum
industry firms - in effect, converting the purchase-accounting treatment of transactions to a pooling basis - but rejected this approach as
requiring too many judgments. However, EPA assessed the potential effect of applying a cash flow adjustment factor to facilities in this
industry by testing hypothetical factor values that substantially exceeded the adjustments - both for decrease and increase - estimated and
applied for the facilities in other industries. This analysis found that the facility impact analysis results for the Aluminum industry did not
change over this wide range of hypothesized cash flow adjustment factors.
B3A4-8
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
*• Given a finding that either or both of these conditions are true, to develop an adjustment to baseline after-
tax cash flow to account for these effects, and, to yield after-tax cash flow values for the facility impact
analysis that more closely reflect current financial performance in the 316(b) Phase III industries.
The overall approach to the analysis was to analyze, for each industry group, the trend of financial performance
over the 12-year analysis period and to assess where the industry's financial performance lay relative to that trend
during the 316(b) survey data collection years of 1996-1998. For each industry group. EPA used as analysis
observations, an index of constant dollar-adjusted after-tax cash flow for each of the firms in the industry group.
To analyze the trend, EPA calculated a simple regression of the index values against time. The estimated
regression relationship provided a direct measure of the real (i.e., inflation-adjusted) trend of financial
performance for each industry group. The 1996-1998 average of index values for each industry group were then
compared with the trend values predicted from the estimated regression coefficients - both for the 1996-1998
years and for the end of the analysis period - to determine the extent to which 1996-1998 survey values should be
adjusted to reflect (1) the deviation from trend at 1996-1998 and (2) the trend from 1996-1998 to the end of the
analysis period.
Specific steps in this analysis were as follows:
*• Calculate After-Tax Cash Flow (ATCF) as Net Profit plus Depreciation for each firm by year. As
discussed above, EPA sought to analyze ATCF as a close approximation of the key financial metric -
after-tax, pre-interest cash flow - used in the facility impact analysis. EPA calculated ATCF on a year-
by-year basis for each firm in the analysis dataset as the sum of the VL data items: Net Profit and
Depreciation. In the VL data framework, Net Profit is defined as net income from continuing operations
and excluding non-recurring items. Depreciation includes both non-cash items, depreciation and
amortization.
*• Adjust ATCF to constant dollar values at mid-year 2003. using the GDP deflator. To eliminate the effects
of inflation in analyzing the trend of financial performance, EPA deflated the ATCF values for all firms to
mid-year 2003 using the GDP Deflator series published by the Department of Commerce, Bureau of
Economic Analysis.
*• Calculate an index of each company's ATCF values by year using, as an index numerator, the average
ATCF value for the company over the 12-year period. As summarized above, the overall approach of the
analysis involved a regression analysis of the trend of ATCF values for the firms in an industry group
over the 12-year analysis period. To allow individual firms' ATCF values to be combined in a single
regression requires eliminating the scale effect of the different sizes of firms. For this reason, the
inflation-adjusted ATCF values for each firm were normalized to an index series by dividing the yearly
values by the average of values for each firm over the 12-year period. EPA used the 12-year average of
values for this index calculation instead of the value for a single year to prevent anomalously large swings
in the index series when the ATCF value for the year selected as the base year for the index calculation
was very small relative to other values in the 12-year series. In addition, in calculating the index values
for the 12-year series, EPA first removed any negative values from the series for each firm by adding to
each value in the firm's 12-year series, the absolute value of the most negative value for the firm plus the
absolute value of the smallest non-negative value in the series. This adjustment has the effect of
"vertically" shifting the ATCF values for a firm so that all values are positive while retaining the
mathematical "shape" of the series for the trend analysis. This adjustment was necessary to prevent the
undesirable inversion of the index trend that would occur if a negative index numerator is combined with
a positive series values in calculating the index series.
*• Regress ATCF index values against year by industry group to calculate the time trend of constant dollar
ATCF over the period 1992-2003. The preceding calculations yield a constant dollar series of ATCF
indexed to one and with an average value of one over the 12-year analysis period. To calculate the trend
indicated by these index ATCF values, EPA estimated a weighted linear regression of the index ATCF
values against year by industry group. These regressions were performed on a revenue-weighted basis -
B3A4-9
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
i.e., each ATCF value was weighted by the firm's revenue value for the year - so that each firm's
individual ATCF trend carries a weight in proportion to its revenue in estimating the trend relationship.
As a result, the estimated trend relationship reflects a revenue-weighted average of the ATCF trends of
the individual firms, instead of an arithmetic average, which would overweight the presence of smaller
firms in estimating the trend relationship. The estimated ATCF index coefficient from the regression for
each industry indicates the trend in constant dollar ATCF over the analysis period: a negative coefficient
indicates declining constant dollar ATCF over the analysis period; a positive coefficient indicates
growing constant dollar ATCF over the analysis period.4
*• Calculate the predicted trend of ATCF index values for each industry group. Used together, the estimated
ATCF index coefficient and regression intercept yield a predicted trend line of ATCF index values for the
12-year period , for each industry group analyzed. The actual ATCF index values for an industry group
can then be compared with predicted trend line to assess whether the ATCF values during the 1996-1998
survey data collection period deviate from the trend. The predicted trend line also indicates where the
ATCF index values would be at the end of the analysis period if the ATCF index values followed the
predicted trend.
*• Calculate the revenue-weighted average of actual ATCF index values by industry group for the 1996-
1998 period. The revenue-weighted average of actual ATCF values for the 1996-1998 period is
compared with the predicted trend values to assess the extent to which the actual ATCF index values
deviate from trend and to provide a basis for estimating the adjustment needed to bring the ATCF values
to the trend, or to the predicted trend value at the end of the analysis period. These values were calculated
by, first, averaging the 1996, 1997, and 1998 ATCF index values for each firm, and, second, averaging
these firm-average values over the firms in an industry group using, as weights, the 1996-1998 average
revenue of each firm in the industry group.
B3A4-3 SUMMARY OF FINDINGS
Table B3A4.2, below, summarizes key results from the analyses outlined above. Items reported in the table are as
follows:
»• Estimated Trend: the revenue-weighted average of annual change in ATCF Index values for firms in the
industry group over the analysis period, 1992-2003. This value is the estimated coefficient of ATCF
Index against time from the simple linear regression, as described above. Because the trend is estimated
from an index series with an average value of one over the analysis period, the estimated trend may also
be interpreted as equal approximately to the annual percent change in ATCF Index. A negative estimated
trend value indicates that ATCF Index values decline, on average, over the analysis period; a positive
estimated trend value indicates that ATCF Index values increase, on average, over the analysis period.
*• Average of ATCF Index Values at 1996-1998: the revenue-weighted average of actual ATCF Index
values for firms in the industry analysis set over the 1996-1998 period. The values in this column are
compared with values in the next two columns, respectively, to assess (1) the extent to which financial
performance during the 1996-1998 survey data period deviated from the analysis period trend at 1996-
1998 and (2) the overall change in financial performance from the 1996-1998 survey data period to the
end of the analysis period resulting from the combination of deviation from analysis period trend and the
trend, itself (see following paragraphs for further discussion).
*• Average of Predicted Trend Values at 1996-1998: the average of predicted ATCF Index values over the
1996-1998 survey data period as predicted from the estimated regression terms. If ATCF performance
for an individual firm or industry matched the industry trend over time, the actual ATCF Index values at
4 In addition to testing a simple linear model of index ATCF against time, EPA also used a logarithm-adjusted series of the ATCF
values to test for an exponential trend in ATCF. The log model provided no improvement in the estimated regression relationships. As a
result, EPA used the coefficients estimated from the linear model for its analysis of the ATCF trend.
B3A4-10
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 4 to Chapter B3
1996-1998 would equal this value. Material deviation of the actual ATCF Index values from this value
suggests, for an industry, that ATCF performance during the 1996-1998 survey data period was: (1)
abnormally favorable, if the actual ATCF Index values exceed the average of predicted values, or (2)
abnormally unfavorable, if the actual ATCF Index values are less than the average of predicted values.
Predicted Trend Value at 2003: the ATCF Index value at the end of the analysis period as predicted from
the estimated regression terms. This value is the (statistically) expected value of ATCF Index at 2003 for
a firm or for the industry, based on the estimated trend relationship. Material deviation of this value from
the Average of Predicted Trend Values at 1996-1998 indicates a general trend going forward from the
1996-1998 survey data period, which, apart from cyclical deviation, which would further affect ATCF
performance for firms in the industry group. For an industry, if this value is less than the Average of
Predicted Trend Values at 1996-1998, then financial performance, as indicated by ATCF Index, generally
deteriorated from 1996-1998 forward to 2003, the end of the analysis period. In addition to the cyclical
deviation effect, this "trend" effect might also be taken into account in adjusting ATCF data calculated
from the 316(b) survey responses. In this case, comparison of the average of actual ATCF Index values
over the 1996-1998 survey data period with the Predicted Trend Value at 2003, would indicate the total
potential adjustment, accounting for both the cyclical deviation and trend effects.
Table B3A4.2: Key Results from Analysis of After-Tax Cash Flow Trends by 316(b) Industry for
1992-2003
316(b) Phase HI Industry
Group
Aluminum
Pulp and Paper Mills
Industrial Chemicals
Plastics Material and Resins
Pharmaceuticals
Petroleum Refining
Steel
Estimated
Trend
-0.00040
0.00120
0.03180
0.05070
0.02300
-0.00420
Average of ATCF Average of Predicted
Index Values at 1996- Trend Values at 1996- Predicted Trend
1998 1998 Value at 2003
Analysis not undertaken
0.98953
1.10059
1.03865
0.98775
0.92346
1.25879
for the Aluminum industry
1.03058
1.00837
0.99332
0.99703
1.01441
1.03948
1.02880
1.01567
1.18383
1.30096
1.15248
1.01414
Source: U.S. EPA analysis, 2004.
The following page presents charts, by industry group, of the yearly ATCF Index Values and the estimated
predicted trend values over the analysis period.
B3A4-11
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 4 to Chapter B3
Figure B3A4-4: ATCF Index vs Trend
Iron and Steel
Year
Industrial Chemicals
0.60
0.40
0.20
0.00
-Time
Trend
-1ndex
ATCF
Petroleum Refining
Pharmaceuticals
1.60
1.40
1.20
£ 1.00
T3
if 0.80
< 0.60
0.40
0.20
0.00
-•-Time
Trend
-•-Index
ATCF
Plastic Material and Resins
Pulp & Paper Mills
1
E
°r
/\ A-A
. . / . \ / \
//*-"*' "^ ^^^
^CtPc^Ct) Ct) Ct) Ct) Ct) C§)O~O/5'
Q) Ct)Ct)Ct)Ct)Ct) Ct)Ct)QCiQCi
B3A4-12
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
By industry, these results indicate the following:
*• Pulp and Paper Mills. The analysis indicates a very slight annual decline, approximately -0.04 percent, in
constant dollar ATCF over the analysis period, meaning financial performance declined very modestly
over this period. The analysis also indicates that the survey data collection years of 1996-1998 showed
weaker performance than the predicted trend performance in those years. Specifically, the average actual
ATCF index value at 1996-98 is 4.0 percent below the predicted ACTF trend value for those years. With
negative growth in ATCF over the analysis period, the predicted ATCF index value at the end of the
analysis period, 2003, declines slightly from the 1996-1998 period. As a result, the average actual ATCF
index value at 1996-98 is approximately 3.8 percent below the predicted ACTF trend value in 2003.
*• Industrial Chemicals. The analysis for the Industrial Chemicals segment of the Chemicals industry
indicates a very slight annual increase, approximately 0.12 percent, in constant dollar ATCF over the
analysis period, meaning financial performance improved slightly over this period. In contrast to the
finding for the Paper and Allied Products industry, the analysis indicates that the Industry Chemicals
segment achieved higher financial performance during the survey data collection years of 1996-1998 than
the predicted trend performance in those years. Specifically, the average actual ATCF index value at
1996-98 is 9.1 percent above the predicted ACTF trend value for those years. With slight positive growth
in ATCF over the analysis period, the predicted ATCF index value at the end of the analysis period, 2003,
increase slightly from the 1996-1998 period. As a result, the average actual ATCF index value at 1996-
98 is approximately 8.4 percent above the predicted ACTF trend value in 2003.
*• Plastics Material and Resins. This segment of the Chemicals industry shows a moderate increase, 3.2
percent annually, in constant dollar ATCF over the analysis period. From this analysis, the Plastic
Material and Resins segment, like the Industrial Chemicals segment, also achieved higher financial
performance during the survey data collection years of 1996-1998 than the predicted trend performance in
those years. Specifically, the average actual ATCF index value at 1996-98 is 4.6 percent above the
predicted ACTF trend value for those years. However, with relatively strong positive growth in ATCF,
the predicted ATCF index value at the end of the analysis period, 2003, increases sufficiently to reverse
this relationship. As a result, by 2003, the average actual ATCF index value at 1996-98 is 12.3 percent
below the predicted ACTF trend value in 2003.
*• Pharmaceuticals. This third segment of the Chemicals industry also shows a strong increase, 5.1 percent
annually, in constant dollar ATCF over the analysis period. Financial performance during the survey data
collection years very nearly equaled the predicted ATCF index value: the average ATCF index value at
1996-98 is 0.9 percent below the predicted ACTF trend value for those years. With strong growth in
ATCF over the analysis period, by 2003, the predicted ATCF value is substantially higher than the
average ATCF index value at 1996-98: the average ATCF index value at 1996-1998 is 24.1 percent below
the predicted trend value at 2003.
*• Petroleum Refining. The analysis indicates a moderate increase, 2.3 percent annually, in constant dollar
ATCF over the analysis period. The analysis also indicates that the Petroleum Refining industry
achieved, on average, weaker financial performance during the survey data collection years than the
predicted trend performance in those years: the average ATCF index value for 1996-1998 is 9.0 percent
below the predicted trend value during those years. However, the individual yearly values during 1996-
1998 show considerable volatility relative to the trend, suggesting weak confidence in this finding. Like
Pharmaceuticals, with relatively strong growth in ATCF over the analysis period, by 2003, the predicted
ATCF value is substantially higher than the average ATCF index value at 1996-98: the average ATCF
index value at 1996-1998 is 19.9 percent below the predicted trend value at 2003.
*• Steel. The analysis indicates declining performance, approximately -0.4 percent annually, in constant
dollar ATCF over the analysis period. The analysis also indicates that financial performance during the
survey data collection years substantially exceeded, by 21.1 percent, trend-based predicted performance
during those years. With declining trend-based performance through the end of the analysis period, by
B3A4-13
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
2003, the gap between the average ATCF value at 1996-1998 and the predicted trend value at 2003
widens to 24.1 percent.
Table B3A4.3, below, summarizes these findings.
Table B3A4.3: Estimated Relationship Between Actual ATCF at Survey Period and Trend
Predicted Values at Survey Period and End of Analysis Period
316(b) Phase III
Industry Group
Aluminum
Pulp and Paper Mills
Industrial Chemicals
Plastics Material and
Resins
Pharmaceuticals
Petroleum Refining
Steel
Percentage Difference in Actual and
Predicted ATCF Index Values at 1996-
1998
Analysis not undertaken
-4.0%
9.1%
4.6%
-0.9%
-9.0%
21.1%
Percentage Difference in Actual
Index Values at 1996-1998 and
Predicted Value at 2003
for the Aluminum industry
-3.8%
8.4%
-12.3%
-24.1%
-19.9%
24.1%
ATCF
Trend
Source: U.S. EPA analysis, 2004.
From these results, the industries and/or segments where financial performance during the 1996-1998 survey data
collection period exceeds trend-predicted performance and thus for which survey data may overstate the
industry's ability to withstand compliance burdens in comparison to the predicted trend values at 1996-1998 are:
*• Pulp and Paper Mills industry,
*• Industrial Chemicals segment of the Chemicals industry,
*• Plastics Material and Resins segment of the Chemicals industry , and
*• Steel industry.
Looking to the end of the analysis period, 2003, the industries and/or segments where financial performance
during the 1996-1998 survey data collection period exceeds trend-predicted performance at 2003, and thus for
which survey data may overstate the industry's ability to withstand compliance burdens at a time closer to the
point of regulatory implementation are:
*• Industrial Chemicals segment of the Chemicals industry, and
*• Steel industry.
B3A4-4 DEVELOPING AN ADJUSTMENT CONCEPT
On the basis of these findings, EPA considered whether and how to adjust after-tax cash flow, as derived from the
facility survey responses for use in the facility impact analysis. Given that several of the industries, or segments
within industries, were found to have financial performance during the survey data collection period that
exceeded the predicted trend financial performance for that period or that exceeded the predicted trend financial
performance at the end of the analysis period, EPA concluded that development and application of an adjustment
to baseline after-tax cash flow was warranted.
B3A4-14
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
In deciding how to adjust cash flow, EPA considered three primary adjustment concepts:
1. Adjust baseline cash flow to account for deviation from predicted trend at the time of the survey data
collection.
2. Adjust baseline cash flow to account for deviation from predicted trend at the end of the analysis period.
3. Adjust baseline cash flow to a future estimated period of compliance based on the estimated trend of change
in constant dollar after-tax cash flow over time.
EPA decided to apply the ATCF adjustment according to the second of these three adjustment concepts: Adjust
baseline cash flow to account for deviation from predicted trend at the end of the analysis period. This adjustment
concept addresses both concerns that (1) business performance during the survey data collection period diverged
from the predicted trend performance during the survey data collection period, and (2) business performance from
the time of survey data collection period followed a non-neutral trend to the present. EPA considered extending
the trend projection to the estimated time of compliance (concept 3) but rejected this approach since it was
deemed speculative in attempting to forecast business performance into the future. In addition, the greater the
number of years over which ATCF results are projected based on historical trend, the less likely that the predicted
changes in ATCF reflect the performance of a static set of facilities and instead reflect capital additions, new
facilities, facility closures, etc. For these reasons, EPA decided to restrict the adjustment to the end of the ATCF
analysis period.
EPA also considered whether to apply the indicated adjustment factors asymmetrically - i.e., only to reduce the
ATCF values as calculated from facility survey responses - or symmetrically - i.e., both to increase or to reduce
the ATCF values as calculated from facility survey responses. In the case of asymmetric adjustment, the
adjustment would correct for business performance during the survey data collection period that exceeded the
predicted trend value - whether for the survey period or some future period - and would thus attempt to avoid
overstating the a facility's ability to bear the costs of regulation compliance without material financial impact. In
the case of a symmetric adjustment, the adjustment would additionally address the potential that business
performance during the survey data collection period fell short of the predicted trend value and would thus
attempt to avoid understating the ability of an industry or facility to bear the costs of regulatory compliance
without material financial impact.
On this question, EPA decided to apply the ATCF adjustment on a symmetric basis, potentially reducing or
increasing facility cash flow on the basis of the estimated adjustment factor. EPA based its decision on the
principle of avoiding both overstatement and understatement of the ability of facilities in an industry to bear the
costs of regulatory compliance without material financial impact.
Based on these decisions, EPA calculated the adjustment factors by dividing the Predicted Trend Value at 2003
by the Average of ATCF Index Values at 1996-1998, as reported in Table B3A4-2, above. In the facility closure
analysis, as described in Chapter B3: Economic Impact Analysis for Manufacturers, facility after-tax cash flow is
simply multiplied by the appropriate adjustment factor based on the industry or industry segment to which a
facility is assigned. The resulting adjusted ATCF is carried forward in the baseline and post-compliance closure
analyses. Where the Predicted Trend Value at 2003 is less than Average of ATCF Index Values at 1996-1998, the
resulting adjustment factor value is less than one and the effect of the ATCF adjustment is to reduce the calculated
value of cash flow used in the facility impact analysis. Where the Predicted Trend Value at 2003 is greater than
Average of ATCF Index Values at 1996-1998, the resulting adjustment factor value is greater than one and the
effect of the ATCF adjustment is to increase the calculated value of cash flow used in the facility impact analysis.
EPA also used the adjustment factors to adjust the numerator values of the measures used in the facility moderate
impact analysis: pre-tax return on assets and interest coverage ratio. In both cases, the numerators of the measures
are closely related to cash flow, but are calculated on a pre-tax basis. As a result, in this case, the ATCF-based
adjustment factor does not match as closely in concept the financial measures to which it is applied as is the case
for the ATCF measure used in the facility closure analysis. Nevertheless, use of the adjustment for these
B3A4-15
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 4 to Chapter B3
measures is appropriate because the pre-tax measures used in the facility moderate impact analysis will still move
closely with the after-tax cash flow measure on which the adjustment factor is based. In addition, it is important
that EPA recognize the potential effect of change in financial condition since the survey data collection period in
the facility moderate impact analysis as well as in the facility closure analysis.
Table B3A4.4, below, summarizes the adjustment factors implemented for each of the industries, and within the
chemical industry, for the industry segments. The table also reports the number of baseline and post-compliance
closures (under the proposed regulatory option) estimated with and without application of the ATCF adjustment
factor.
Table B3A4.4: Using After-Tax Cash Flow Adjustment Factors in the Facility Closure Analysis
Aluminum
Pulp and Paper Mills
Chemicals Industry
Industrial Chemicals
Plastics Material and
Resins
Pharmaceuticals
Petroleum Refining
Steel
Total
Adjustment
Factor
1.0000
1.0397
0.9228
1.1398
1.3171
1.2480
0.8056
Number of
Facilities
Analyzed
21
230
138
34
6
36
68
532
Summary Results from Closure Analysis
Using
Adjustment Factors
Baseline Regulatory
Closures Closures
7
32
4
0
0
5
29
76
0
0
0
0
0
0
0
0
Not Using Factors
Baseline Regulatory
Closures Closures
7 0
32 0
4 0
0 0
0 0
5 1
25 0
73 1
Adjustment factor not developed for Aluminum industry, so the results with use of adjustment factors are necessarily the same
as those without use of the factors.
All results are sample weighted. The reported totals may differ from the apparent sums of individual data items due to
rounding.
Source: U.S. EPA analysis, 2004.
As reported in Table B3A4.4, the adjustment factors for the Steel industry and Industrial Chemicals segment of
the Chemicals industry are less than one, at 0.8056 and 0.9228, respectively. For these industries, the effect of the
adjustment factor is to reduce the cash flow values calculated from facility survey responses. As described above,
EPA did not calculate an adjustment factor for the Aluminum industry due to data limitations; accordingly, this
industry's "adjustment factor" is simply 1.0000. The adjustment factors for the remaining industries are greater
than one, ranging from a value of 1.0397 for the Pulp and Paper Mills industry to 1.3198 for the Pharmaceuticals
segment of the Chemicals industry. For these industries, the effect of the adjustment factor is to increase the cash
flow values calculated from facility survey responses.
In terms of effect on analytic results, the use of the ATCF adjustment factors caused the number of baseline
closures to change in only one 316(b) industry group, the Steel industry. For this industry, the reduction in cash
flow resulting from the adjustment causes an additional 4 facilities, on a sample weighted basis, to fail the
baseline closure analysis.
B3A4-16
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
Under the 50 MGD All Option for existing manufacturing facilities, the use of the ATCF adjustment factors
eliminated one regulatory closure, in the Petroleum Refining industry. Because the calculated adjustment factor
for this industry is quite large, 1.248, EPA reviewed closely the effect of the adjustment factor on the facility
closure calculation. In particular, EPA was concerned that the regulatory closure was being eliminated by
application of a large ATCF adjustment. From this review, EPA determined that the single Petroleum Refining
industry closure, without the ATCF adjustment, is a very marginal closure. Specifically, an ATCF adjustment
factor of 1.0195 (compared to the calculated 1.248) provides a sufficient increase in baseline cash flow to
eliminate the closure under the compliance requirements of the 50 MGD All Option. Another way of
understanding the 1.0195 adjustment factor is to calculate the annual trend factor (year-to-year change in
predicted trend ATCF Index) that would yield the 1.0195 value. In this case, the year-to-year change required to
generate the 1.0195 value is 0.0038, or an annual change factor that is very close to zero (approximately 0.38
percent annual average change). Given these findings, EPA concludes that the extent of improvement in cash
flow needed to eliminate the regulatory closure in the Petroleum Refining industry is extremely small and is thus
quite plausible within the overall improving business performance trend exhibited by the Petroleum Refining
industry. Under the other two co-proposed options, the 200 MGD All Option and the 100 MGD SWB Option, the
use of the ATCF adjustment factors would have no closure effect.
B3A4-17
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 4 to Chapter B3
REFERENCES
Board of Governors of the Federal Reserve System. Release G.I 7, Industrial Production and Capacity
Utilization: Capacity Utilization: Manufacturing (NAICS) and Industrial Production Index quarterly data series.
2004.
U.S. Department of Commerce. Bureau of Economic Analysis. Table 1.1.6. Real Gross Domestic Product,
Chained Dollars. 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2004. Information Collection Request for Cooling Water
Intake Structures, Phase IIExisting Facility Final Rule. ICR Number 2060.02. February 2004.
Value Line Investment Survey. Value Line Publishing, Inc. 220 East 42nd Street, New York, N.Y. 10017-589.
2003 and 2004.
B3A4-18
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
Appendix 5 to Chapter B3:
Estimating Capital Outlays for Section
316(b) Phase III Manufacturing Sectors
Discounted Cash Flow Analyses
APPENDIX CONTENTS
B3 A5-1 Analytic Concepts Underlying Analysis of Capital
Outlays B3A5-2
B3A5-2 Specifying Variables for the Analysis . . . B3A5-4
B3 A5-3 Selecting the Regression Analysis Dataset B3 A5-7
B3A5-4 Specification of Models to be Tested B3A5-9
B3A5-5 Model Validation B3A5-12
Attachment B3 A5. A: Bibliography of Literature
Reviewed for this
Analysis B3A5-17
Attachment B3A5.B: Historical Variables Contained in
the Value Line Investment Survey
Dataset B3A5-18
INTRODUCTION
The analysis of economic impacts to Phase III
manufacturing facilities associated with the proposed
Section 316(b) Regulation involves calculation of the
business value of sample facilities on the basis of a
discounted cash flow (DCF) analysis of operating
cash flow as reported in the detailed industry
questionnaires.1 Business value is calculated on a
pre- and post-compliance basis and the change in this
value serves as an important factor in estimating
regulatory impacts in terms of potential facility
closures. To be accurate in concept, the business
value calculation should recognize cash outlays for
capital acquisition as a component of cash flow. However, the Section 316(b) Detailed Industry Questionnaire
did not request information from surveyed facilities on their cash outlays for capital acquisition. Absent this data,
EPA developed an estimate of cash outlays for capital acquisition. This appendix describes the methodology EPA
used to derive, for each sample facility, an estimate of cash outlays for capital acquisition.
EPA Office of Water (OW) previously identified that the omission of cash outlays for capital acquisition from
DCF analyses may lead to overstatement of the business value of sample facilities and, as a consequence,
understatement of regulatory impacts in terms of estimated facility closures (EPA, 2003). In response to this
omission, the Office of Management and Budget suggested the adoption of depreciation expense as a surrogate
for cash outlays for capital replacement and additions. However, for several reasons EPA believes depreciation is
a poor surrogate. First, depreciation is meant to capture the consumption/use of previously acquired assets, not
the cost of replacing, or adding to, the existing capital base. Therefore, depreciation is fundamentally the wrong
concept to use as a surrogate for capital outlays for capital replacement and additions. Second, depreciation is
estimated based on the historical asset cost, which may understate or overstate the real replacement cost of assets.
Third, both book and tax depreciation schedules generally understate the assets' useful life. Thus, reported
depreciation will overstate real depreciation value for recently acquired assets that are still in the depreciable asset
base, and conversely, understate the real depreciation value of assets that have expired from the depreciable asset
base but still remain in valuable use. Finally, depreciation does not capture the important variations in capital
outlays that result from differences in revenue growth and financial performance among firms. Businesses with
real growth in revenue will need to expand both their fixed and working capital assets to support business growth,
and all else being equal, growing businesses will have higher ongoing outlays for fixed and working capital
assets. Similarly, the ability of businesses to renew and expand their asset base depends on the financial
productivity of the deployed capital as indicated by measures such as return on assets or return on invested
capital. As a result, businesses with "strong" asset productivity will attract capital for renewal and expansion of
their asset base, while businesses with "weak" asset productivity will have difficulty attracting the capital for
renewal and expansion of the business' asset base. All else being equal, businesses with strong asset productivity
This analysis is limited to potentially affected facilities in primary SIC codes 26, 28, 29, and 33.
B3A5-1
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 5 to Chapter B3
will have higher ongoing outlays for capital assets; businesses with weak asset productivity will have lower
ongoing outlays for capital assets.
As an approach to addressing the absence of capital acquisition cash outlay data to support the Phase III DCF
analysis, EPA estimated a regression model of capital outlays using reported capital expenditures and relevant
explanatory financial and business environment information for public-reporting firms in the Phase III
manufacturing sectors. The resulting estimated model is used to estimate capital outlays for facilities in the Phase
III sample dataset. The estimated capital outlay values were then used in the DCF analyses to calculate business
value of sample facilities and estimate regulatory impacts in terms of facility closures.
The approach and regression model described above are based largely on the approach and regression model
developed in support of the analysis of economic impacts for the Metal Products and Machinery Regulation
(MP&M), which provides a recent example of the need to address the omission of capital acquisition cash outlay
data from a DCF analysis. EPA notes that the facilities/industry sectors examined in the Section 316(b) Phase III
analysis are similar to those analyzed in the MP&M analysis: both analyses estimate impacts to facilities in
manufacturing industries only and facilities in SIC 33 are covered under both regulations. In addition, the Section
316(b) Detailed Industry Questionnaire and the MP&M survey instruments are similar; therefore, similar data are
available for Phase III and MP&M survey facilities. As such, EPA relied heavily on prior experience from the
MP&M final regulation in estimating the regression model used to estimate of capital outlays for facilities in the
Phase III sample dataset.
This appendix reports the results of the effort to estimate capital outlays for Phase III manufacturing facilities,
including: an overview of the analytic concepts underlying the analysis of capital outlays; specific variables
included in the regression analysis; summary of data selection and preparation; general specification of regression
models to be tested; and the findings from the regression analyses.2
B3A5-1 ANALYTIC CONCEPTS UNDERLYING ANALYSIS OF CAPITAL OUTLAYS
On the basis of general economic and financial concepts of investment behavior, EPA began its analysis by
outlining a framework relating the level of a firm's capital outlays to explanatory factors that:
*• can be observed for public-reporting firms - either as firm-specific information or general business
environment information - and thus be included in a regression analysis; and
*• for firm-specific information, are also available from the Phase III sample facility dataset.
To aid in identifying the explanatory concepts and variables that might be used in the analysis and as well in
specifying the models for analysis, EPA reviewed recent studies of the determinants of capital outlays. EPA's
review of this literature generally confirmed the overall approach in seeking to estimate capital outlays and helped
to identify additional specific variables that other analysts found to contribute important information in the
analysis of capital outlays (e.g., the decision to test capacity utilization as an explanatory variable, see below,
resulted from the literature review). Articles reviewed are listed in Attachment B3A5A to this appendiB3A5
Table B3A5.1, beginning below and continuing on the subsequent page, summarizes the conceptual relationships
between a firm's capital outlays and explanatory factors that EPA sought to capture in this analysis. In the table,
EPA outlines the concept of influence on capital outlays, the general explanatory variable(s) that EPA identified
2 Since the estimated regression model for the Phase III facilities is based on an earlier model developed for the MP&M final
regulation, much of the underlying research involved in the analytic development of the model had been previously completed and was not
required to be redone. Nonetheless, in order to present a lucid discussion of the analytic concepts underlying the model and the rationale
behind specifying variables for the analysis and specification of the regression model, a complete discussion of how the regression model
was developed is presented. During the course of the discussion, instances where prior experience gained during estimating the regression
model for the MP&M final regulation had a significant influence in the development of the current model are clearly highlighted.
B3A5-2
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
to capture the concept in a regression analysis, and the hypothesized mathematical relationship (sign of estimated
coefficients) between the concept and capital outlays. Table B3A52 identifies the specific variables included in
the analysis, including any needed manipulations and the correspondence of the variables to Phase III survey
information.
Table B3A5.1: Summary of Factors Influencing Capital Outlays
Explanatory Factor/Concept To Be
Captured in Analysis
Translation of Concept to Explanatory Variable(s)
Expected
Relationship
Availability of attractive opportunities for
additional capital investment. A firm's
owners, or management acting on behalf of
owners, should expend cash for capital
outlays only to the extent that the expected
return on the capital outlays - whether for
replacement of, or additions to, existing
capital stock - are sufficient to compensate
providers of capital for the expected return
on alternative, competing investment
opportunities, taking into account the risk of
investment opportunities.
Historical Return On Assets of establishment as a indicator of
investment opportunities and management effectiveness, and, hence,
of desirability to expand capital stock and ability to attract capital
investment. Use of a historical variable implicitly assumes past
performance is indicative of future expectations.
Positive
Business growth and outlook as a
determinant of need for capital expansion
and attractiveness of investment
opportunities. All else equal, a firm is more
likely to have attractive investment
opportunities and need to expand its capital
base if the business is growing and the
outlook for business performance is
favorable.
Revenue Growth, from the prior time period(s) to the present, Positive
provides a historical measure of business growth and is a potential
indicator of need for capital expansion. Use of a historical variable
implicitly assumes past performance is indicative of future
expectations.
Clearly, the theoretical preference is for a forward-looking indicator
of business growth and need for capital expansion. Options EPA
identified include Index of Leading Indicators and current Capacity
Utilization, by industry. Higher current Capacity Utilization may
presage need for capital expansion.
Positive
Importance of capital in business
production. All else equal, the more capital
intensive the production activities of a
business, the greater will be the need for
capital outlay to replenish, and add to, the
existing capital stock. More capital
intensive businesses will spend more in
capital outlays to sustain a given level of
revenue over time.
The Capital Intensity of production as measured by the production
capital required to produce a dollar of revenue provides an indicator
of the level of capital outlay needed to sustain and grow production.
As an alternative to a firm-specific concept such as Capital Intensity
of production, differences in business characteristics might be
captured by an Industry Classification variable.
Positive
Life of capital equipment in the business.
All else equal, the shorter the useful life of
the capital equipment in a business, the
greater will be the need for capital outlay to
replenish, and add to, the existing capital
stock.
No information is available on the actual useful life of capital
equipment by business or industry classification. However, the
Capital Turnover Rate, as calculated by the ratio of book
depreciation to net capital assets, provides an indicator of the rate at
which capital is depleted, according to book accounting principles:
the higher the turnover rate, the shorter the life of the capital
equipment. However, the measure is imperfect for reasons of both
the inaccuracies of book reporting as a measure of useful life, and as
well the confounding effects of growth in the asset base due to
business expansion - which will tend to lower the indicated turnover
rate, all else equal, without a real reduction in life of capital equipment.
As above, an alternative to a firm-specific concept, differences in
business characteristics might be captured by an Industry
Classification variable.
Positive,
generally, but
with
recognition of
the potential
for counter-
trend effects
B3A5-3
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
Table B3A5.1: Summary of Factors Influencing Capital Outlays
Explanatory Factor/Concept To Be
Captured in Analysis
Translation of Concept to Explanatory Variable(s)
Expected
Relationship
The cost of financial capital. The cost at
which capital - both debt and equity - is
made available to a firm will determine
which investment opportunities can be
expected to generate sufficient return to
warrant use of the financial capital for
equipment purchases. All else equal, the
higher the cost of financial capital, the fewer
the investment/capital outlay opportunities
that would be expected to be profitable and
the lower the level of outlays for
replacement of, or additions to, capital stock.
Preferably, measures of cost-of-capital would be developed Negative
separately for debt and equity.
The Cost of Debt Capital, as measured by an appropriate benchmark
interest rate, provides an indication of the terms of debt availability
and how those terms are changing over time. Preferably, the debt
cost/terms would reflect the credit condition of the firm, which
could be based on a credit safety rating (e.g., S&P Debt Rating).
The cost of equity capital is more problematic than the cost of debt
capital since it is not directly observable for either public-reporting
firms or, in particular, private firms in the Phase III dataset.
However, a readily available surrogate such as Market-to-Book
Ratio provides insight into the terms at which capital markets are
providing equity capital to public-reporting firms: the higher the
Market-to-Book Ratio, the more favorable the terms of equity
availability.
Negative
The price of capital equipment. The price
of capital equipment - in particular, how
capital equipment prices are changing over
time - will influence the expected return
from capital outlays. All else equal, when
capital equipment prices are increasing, the
expected return from incremental capital
outlays will decline and vice versa.
However, although the generally expected
effect of higher capital equipment prices is
to remove certain investment opportunities
from consideration, the potential effect on
total capital outlay may be mixed. If
expected returns are such that the demand to
invest in capital projects is relatively
inelastic, the effect of higher prices for
capital equipment may be to raise, instead of
lower, the total capital outlay for a firm.
Index provides an indicator of the change in capital equipment
prices.
Negative,
generally, but
with
recognition of
the potential
for counter-
trend effects
Source: U.S. EPA analysis, 2004.
B3A5-2 SPECIFYING VARIABLES FOR THE ANALYSIS
Working from the general concepts of explanatory variables outlined above, EPA defined the specific explanatory
variables to be included in the analysis. A key requirement of the regression analysis is that the firm-specific
explanatory variables included in the regression analysis later be able to be used as the basis for estimating capital
expenditures for facilities in the Phase III dataset. As a result, in defining the firm-specific variables, it was
necessary to ensure that the definition of variables selected for the regression analysis using data on public-
reporting firms be consistent with the data items available for facilities in the Phase III dataset.
Also, EPA's selection of firm-specific variables was further constrained by the decision to use the Value Line
Investment Survey (VL) as the source of firm-specific information for the regression analysis. The decision to
use VL as the source of firm-specific data for the analysis was driven by several considerations:
*• Reasonable breadth of public-reporting firm coverage. The VL dataset includes 8,500 firms.
*• Reasonable breadth of temporal coverage. VL provides data for the most recent 11 years - i.e.,
1992-2002. Although ideally EPA would have preferred a longer time series to include more years
B3A5-4
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
not in the "boom" business investment period of the mid- to late-1990s.
*• Reasonable coverage of concepts/data needed for analysis. The VL data includes a wide range of
financial data that are applicable to the analysis (VL provides 37 data items over the 11 reporting
years; see Attachment DB). However, because of the pre-packaged nature of the VL data, it was not
possible to customize any data items to support more precise definition of variables in the analysis.
In particular, EPA found that certain balance sheet items were not reported to the level of specificity
preferred for the analysis. Overall, though, EPA expects the consequence of using more aggregate,
less-refined concepts should be minor.
The decision to use VL data for the analysis constrained, in some instances, EPA's choice of variables for the
analysis.
Table B3A5.2 reports the specific definitions of variables included in the analysis (both the dependent variable
and explanatory variables), including any needed manipulations, the data source, the Phase III estimation analysis
equivalent (either the corresponding variable(s) in the Section 316(b) Phase III Detailed Industry Questionnaire or
other source outside the questionnaire), and any issues in variable definition.
Table B3A5.2: Variables For Capital Expenditure Modeling Analysis
Variables for Regression Analysis
Variable
Source
Calculation
Phase III Analysis
Equivalent
Comment / Issue
Dependent Variable
Gross
expenditures
on fixed
assets:
CAPEX,
includes
outlays to
replace, and
add to,
existing
capital stock
Value Line
Obtained from VL as Capital
Spending per Share.
CAPEX calculated by
multiplying by Average
Shares Outstanding.
None: to be estimated
based on estimated
coefficients.
This value and all other dollar values in
the regression analysis were deflated to
2002 using 2-digit SIC PPI values.
Explanatory Variables
Firm-Specific Variables
Return On
Assets: ROA
Value Line
ROA = Operating Income /
Total Assets. Both
Operating Income, defined
as Revenue less Operating
Expenses (CoGS+SG&A),
and Total Assets were
obtained directly from VL.
From Survey: Revenue
less Total Operating
Expenses (Material &
Product Costs +
Production Labor +
Cost of Contract
Work + Fixed
Overhead + R&D +
Other Costs &
Expenses)
Would have preferred an after-tax
concept in numerator and a deployed
production capital concept in
denominator. However, VL provides
no tax value per se and would require
calculation of tax using an estimated tax
rate, which could introduce error. Also
neither VL nor Phase III survey data
provide sufficient information to get at
deployed production capital.
B3A5-5
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
Table B3A5.2: Variables For Capital Expenditure Modeling Analysis
Variables for Regression Analysis
Variable
Revenue:
REV
Capital
Turnover
Rate: CAPT
Capital
Intensity:
CAPI
Market-to-
Book Ratio:
MV/B
Source
Value Line
Value Line
Value Line
Value Line
Calculation
REV = Revenues. Revenues
directly available from VL.
CAPT = Depreciation /
Total Assets. Depreciation
and Total Assets directly
available from VL.
CAPI = Total Assets /
Revenue. Total Assets and
Revenue directly available
fromVL
MV/B = average market price
of common equity (Price)
divided by book value of
common equity (Book Value
per Share). Price and Book
Value per Share directly
available from VL.
Phase III Analysis
Equivalent
From Survey: Revenue
From Survey:
Depreciation / Total
Assets
From Survey:
Total Assets / Revenue
N/A (see
Comment/Issue)
Comment / Issue
In the log-linear formulation this
variable captures percent
change/growth in revenues. However,
the use of the log-linear formulation,
eliminates the potential to set the
growth term to zero in estimating
baseline capital outlays for Phase III
facilities.
During the specification of the
regression model for the MP&M final
regulation, Total Assets was also tested
as a scale variable. Since it provided a
good, but not as strong, an explanation,
as REV it was not included in the final
specification. Based on this previous
finding, Total Assets was not
considered while specifying the Phase
III regression model.
Would have preferred denominator of
net fixed assets instead of total assets.
However, VL provides detailed balance
sheet information for only the four most
recent years. Not possible to separate
current assets and intangibles from total
assets.
As above, would have preferred net
fixed assets instead of total assets, but
needed data are not available from VL
for the full analysis period.
During specification of the MP&M
regression model, MV/B was found to
highly correlated with other, more
important explanatory variables, which
makes sense, given that equity terms
would be derived from more
fundamental factors, such as ROA.
Thus, MV/B was omitted from the
MP&M regression model. As a result,
MV/B was not considered during the
specification of the Phase III regression
model which eliminated the need to
define an approach to use this variable
with Phase III survey data.
B3A5-6
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
Table B3A5.2: Variables For Capital Expenditure Modeling Analysis
Variables for Regression Analysis
Variable
Source
Calculation
Phase III Analysis
Equivalent
Comment / Issue
General Business Environment Variables
Interest on
10-year, A-
rated
industrial
debt:
DEBTCST
Index of
Leading
Indicators:
ILI
Capacity
Utilization
by Industry:
CAPUTIL
Producer
Price Index
series for
capital
equipment:
CAPPRC
Moody 's
Investor
Services
Conference
Board
Federal
Reserve
Board
(Dallas
Federal
Reserve)
Bureau of
Labor
Statistics
(BLS)
DEBTCST = annual average
of rates for each data year
Monthly index series
available from Conference
Board. ILI = geometric mean
of current year values.
Monthly index series
available from Federal
Reserve CAPUTIL =
current year average value.
Annual average values
available from BLS.
CAPPRC = current year
average value as reported by
BLS.
Use average of
DEBTCST rates at time
of Phase III survey.
Use average of ILI
values at time of Phase
III survey.
Use average of
CAPUTIL values at
time of Phase III survey.
Use average of
CAPPRC values at time
of Phase III survey.
10-year maturity, industry debt selected
as reasonable benchmark for industry
debt costs. 10 years became "standard"
maturity for industrial debt during
1990s.
During specification of the MP&M
regression model, EPA found that ILI
and the CAPPRC (see below) are
highly correlated. Thus, ILI was
omitted from the MP&M regression
model. As a result, ILI was not
considered during the specification of
the Phase III regression model.
BLS reports PPI series for capital
equipment based on "consumption
bundles" defined for manufacturing and
non-manufacturing industries. For this
analysis, EPA used the PPI series based
on the manufacturing industry bundle.
Source: U.S. EPA analysis, 2004.
B3A5-3 SELECTING THE REGRESSION ANALYSIS DATASET
In addition to specifying the variables to be used in the regression analysis, EPA also needed to select the public
firm dataset on which the analysis would be performed.
As noted above, EPA used the Value Line Investment Survey as the source for public firm data. VL includes
over 8,500 publicly traded firms and identifies firms' principal business both by a broad industry classification
(e.g., Paper/Forest) and by an SIC code assignment. Value Line's SIC code definitions do not match the U.S.
Census Bureau's SIC code definitions; however, in most instances a Value Line SIC code can be reasonably
matched to one or several U.S. Census Bureau defined SIC codes. To build the public firm dataset corresponding
to the Phase III sectors (SIC 26: Paper and allied products, SIC 28: Chemicals and allied products, SIC 29:
Petroleum and coal products, and SIC 33 Primary metal industries), EPA initially selected all firms included in
the Value Line SIC code families:
*• 2600: Paper/forest products,
»• 2640: Packaging and container,
*• 2810: Chemical (basic),
*• 2813: Chemical (diversified),
*• 2820: Chemical (speciality),
*• 2830: Biotechnology,
B3A5-7
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 5 to Chapter B3
•> 2834: Drug,
*• 2840: Household products,
*• 2844: Toiletries/cosmetics,
*• 2900: Petroleum (integrated),
*• 3311: Steel (general), and
> 3312: Steel (integrated).
In order to derive a dataset of firms whose business activities closely match the activities of firms included in the
Phase III sample survey EPA made or attempted to make the following revisions to the initial dataset:
*• EPA found that the VL SIC code definition does not include categories which match SIC 331 and
SIC 335 (combined together to form the aluminum sector in the Phase III analysis). Since U.S.
aluminum companies are generally vertically integrated (S&P, 2001), most aluminum companies own
large bauxite reserves and mine bauxite ore. As such, these firms are classified in VL under SIC
1000: Metals and mining. EPA reviewed the business activities of firms listed in SIC 1000: Metals
and mining, and included only those firms described as aluminum companies in the regression
analysis dataset.
*• EPA reviewed the business activities of firms listed in SIC 3400: Metal fabricating, however, no
firms whose activities matched those described within the profiles of the Phase III Manufacturing
Sectors were found.3
*• EPA reviewed the business activities of firms listed in SIC 2840: Household products and SIC 2844:
Toiletries/cosmetics, and retained only those firms in the dataset whose activities matched those
described within the profiles of the Phase III Manufacturing Sectors (see footnote 4).
*• EPA deleted firms within SIC 2600: Paper/forest products whose business activities are solely limited
to timber/lumber production. These facilities are unlikely to use cooling water intake structures and
therefore fall outside the Phase III Manufacturing Sectors.
*• EPA reviewed the business activities of firms listed in SIC 2830: Biotechnology and SIC 2834: Drug
in order to exclude firms that are exclusively research and development (R&D) firms and are unlikely
to use cooling water intake structures. However, based on the information provided by Value Line
EPA was unable to segregate R&D firms from the rest of the firms listed in these SIC codes.
*• EPA only retained firms in the VL dataset if they are situated in the U.S. or Canada, and for whom
financial information is available in U.S. dollars.
On inspection, EPA found that a substantial number of firms did not have data for the full 11 years of the analysis
period. The general reason for the omission of some years of data is that the firms did not become publicly listed
in their current operating structure - whether through an initial public offering, spin-off, divestiture of business
assets, or other significant corporate restructuring that renders earlier year data inconsistent with more recent
data - until after the beginning of the 11-year data period.4 As a result, the omission of observation years for a
firm always starts at the beginning of the data analysis period. This systematic front-end truncation of firm
observations in the dataset could be expected to bias the analysis in favor of the capital expenditure behavior
nearer the end of the 1990s decade. To avoid this problem, EPA removed all firm observations that have fewer
than 11 years of data. As a result, the dataset used in the analysis has a total of 2,244 yearly data observations and
represents 204 firms.
3 The profiles only focus on 4-digit SIC categories represented in the sample of facilities which received the Section 316(b) detailed
industry questionnaire.
4 When VL adds a firm to its dataset, it fills in the public-reported data history for the firm for the lesser of 11 years or the length of
time that the firm has been publicly listed and thus subject to SEC public reporting requirements.
B3A5-8
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
Table B3A5.3 presents the number of firms by industry classifications.
Table B3A5.3: Number of Firms by Industry Classifications
SIC Industry Classification
Number of Firms
26: Paper and allied products
28: Chemicals and allied products
29: Petroleum and coal products
33: Primary metal industries
24
136
20
24
B3A5-4 SPECIFICATION OF MODELS TO BE TESTED
On the basis of the variables listed above and their hypothesized relationship to capital outlays, EPA specified a
time-series, cross sectional model to be tested in the regression analysis. EPA's dataset consisted of 204 cross
sections observed at 11 years (1992 through 2002). The general structure of this model was as follows:
Where:
CAPEXU
t
i
j
CAPT,.,
CAPLj
DEBTCST,
CAPPRQ
CAPUTIL,,
CAPEXU =/(ROAu, REVU, CAPTU, CAPI, ft DEBTCST, „ CAPPRQ, CAPUTIL
capital expenditures of firm /', in time period t;5
year (year =1992,. . . ,2002);
firm /(/ = !,. • • , 204);
industry classification j
return on total assets for firm /' in year t;
revenue ($ millions) for firm /' in year t;
capital turnover rate for firm /' in year t;
capital intensity for firm / in year t;
financial cost of capital in year t;
price of capital goods in year t;
the Federal Reserve Board's Index of Capacity utilization for a given industry/ in year t.
EPA only tested log-linear model specifications for this analysis.6 The main advantage of the log-linear model is
that it incorporates directly the concept of percent change in the explanatory variables. Specifying the key
regression variables as logarithms permitted EPA to estimate directly as the coefficients of the model, the
elasticities of capital expenditures with respect to firm financial characteristics and general business environment
factors. The following paragraphs briefly discuss testing of the log-linear forms of the model. Parameter
estimates are presented for the final log-linear model only.
EPA specified a log-linear model, as follows:
ln(CAPEXu) = a
5 All dollar values were deflated to 2002 using 2-digit SIC PPI values.
6 While specifying the MP&M regression model, EPA tested both linear and log-linear model specifications. The pattern of
coefficient significance was found to be better in the log-linear model. In addition, the log-linear model offered advantages in terms of
retention of early time period observations (by eliminating the need to use percent change variables) and variable specifications, and
helped to reduce outlier effects in the model. As a result, EPA selected a log-linear specification as the final regression model for the
MP&M final regulation. Based on these reasons and the similarity of industry sectors analyzed for the two regulations, EPA decided to
test only log-linear model specifications for the Phase III regression model.
B3A5-9
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 5 to Chapter B3
Where:
CAPEXU = capital expenditures of firm /', year t;
PJ. = elasticity of capital expenditures with respect to firm characteristic X;
Xu, = a vector of financial characteristics of firm /', year t;
Yy = elasticity of capital expenditures with respect to economic indicator Y;
Y, = a vector of economic indicators, year t; for CAPUTIL, Y is also differentiated by industry
classification
e = an error term; and
ln(r) = natural log of x
Based on this model, the elasticity of capital expenditures with respect to an explanatory variable, for example,
return on assets is calculated as follows:
EiCATEX}- d^(CAPEX"> - d(CAPEX}/CAPEX
^ ' d\n(ROA) d (ROA)/ROA
Since logarithmic transformation is not feasible for negative and zero values, such values in the VL public firm
dataset required linear transformation to be included in the analysis. The following variables in the sample
required transformation:
»• CAPEX: Eighteen firms in the sample reported zero capital expenditures at least in one time period.
EPA set these expenditures to $ 1.
*• REVENUE: Seven firms reported negative revenues in at least one time period. Because these are
likely due to accounting adjustments from prior period reporting, EPA set negative revenues for these
firms to $ 1.
*• ROA: the values for return on assets in the public firm sample range from -2.9 to 0.7. Approximately
34 percent of the firms in the dataset reported negative ROAs in at least one year. To address this
issue while reducing potential effects of data transformation on the modeling results, EPA used the
following data transformation approach:7
n EPA excluded 27 firms with any annual ROA values below the 95th percentile of the ROA
distribution (i.e., ROA < - 0.51).
n EPA used an additive data transformation to ensure that remaining negative ROA values were
positive in the logarithm transformation. The additive transformation was performed by adding
0.51 to all ROA values.
As a result of the data transformation procedures outlined above, the VL public firm dataset on which the
regression model is based was reduced to 177 firms (204 - 27 firms) and 1,947 yearly data observations.
The analysis tested several specifications of a log-linear model, including models with the intercept and slope
dummies for different industrial sectors and models with the intercept suppressed.8 Slope dummies were used to
7 While specifying the MP&M regression model EPA conducted a sensitivity analysis to examine the degree to which the estimated
model was affected by this data transformation. Results of this analysis showed that the data transformation produces results that are
compatible with a model considering only positive ROA values and a model considering all ROA values. As a result, the Phase III
regression model utilized the same data transformation procedure.
8 While specifying the MP&M regression model, EPA also tested specifications that included the following structural modifications:
(1) testing contemporary vs. lagged specification of certain explanatory variables: e.g., using prior, instead of current period revenue, REV,
as an explanatory variable; (2) testing scale-normalized specification of the dependent variable: e.g., using CAPEX/REV as the dependent
variable instead of simple CAPEX; (3) testing flexible functional forms that included quadratic terms; and (4) testing additional
explanatory variables including the index of 10 leading economic indicators (ILI) and market-to-book ratio (MV/B). Because EPA found
B3A5-10
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 5 to Chapter B3
test the influence of industry classification on the elasticity of capital expenditures with respect to an explanatory
variable: e.g., using the product of an industry classification dummy variable and CAPPRC to test whether certain
industries responded differently to change in price of capital equipment over time. Following review of the
different models tested, EPA concluded that the estimated coefficients did not vary, significantly, by industry and
thus selected the simple log -linear model, with the intercept and no slope dummies as the basis for the 3 16(b)
Phase III capital expenditures analysis. The results for this model are summarized below.
Cross-sectional, time-series datasets typically exhibit both autocorrelation and group-wise heteroscedasticity
characteristics. Autocorrelation is frequently present in economic time series data as the data display a "memory"
with the variation not being independent from one period to the next. Heteroscedasticity usually occurs in cross-
sectional data where the scale of the dependent variable and the explanatory power of the model vary across
observations. Not surprisingly, the dataset used in this analysis had both characteristics. Therefore, EPA
estimated the specified model using the generalized least squares procedure. This procedure involves the
following two steps:
*• First, EPA estimated the model using simple OLS, ignoring autocorrelation for the purpose of
obtaining a consistent estimator of the autocorrelation coefficient (p);
*• Second, EPA used the generalized least squares procedure, where the analysis is applied to
transformed data. The resulting autocorrelation adjustment is as follows:
where Za is either dependent or independent variables.
EPA was unable to correct the estimated model for group-wise heteroscedasticity due to computational
difficulties. The statistical software used in the analysis (LIMDEP) failed to correct the covariance matrix due to
the very large number of groups (i.e., 177 firms) included in the dataset. Application of other techniques to
correct for group-wise heteroscedasticity was not feasible due to time constraints. The estimated coefficients
remain unbiased; however, they are not minimum variance estimators. Regression results reveal strong
systematic elements influencing capital expenditures: the analysis finds both statistically significant and intuitive
patterns that influence firm's investment behavior. We find a strong systematic element of capital expenditures
variation which allows forecasting of capital expenditures based on firm and business environment characteristics.
Table B3A5.4 presents model results. The model has a fairly good fit, with adjusted R2 of 0.81. All coefficients
have the expected sign and all but one variable (cost of debt capital) are significantly different from zero at the
95thpercentile.
that these structural modifications either did not improve the fit of the MP&M regression model or resulted in the introduction of
multicollinearity among variables, these structural modifications were not tested while specifying the Phase III regression model.
B3A5-11
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 5 to Chapter B3
Table B3A5.4: Time Series, Cross-Sectional Model
Results
Variable
Constant
Ln(ROA)
Ln(REV)
Ln(CAPT)
Ln(CAPI)
Ln(DEBTCST)
Ln(CAPPRC)
Ln(CAPUTIL)
Coefficient
21.880
0.526
1.129
0.687
1.078
-0.789
-5.957
1.716
t-Statistics
2.618
3.964
58.450
11.085
18.491
-1.605
-4.369
2.842
Autocorrelation Coefficient
0.385 18.402
The empirical results show that among the firm-specific variables, the output variable (REV) is a dominant
determinant of firms' investment spending. A positive coefficient on this variable means that larger firms invest
more, all else equal, which is clearly a simple expected result. In addition, as expected, firms with higher
financial performance and better investment opportunities (ROA) invest more, all else equal: for each one percent
increase in ROA, a firm is expected to increase its capital outlays by 0.53 percent. Other firm-specific
characteristics were also found important and will aid in differentiating the expected capital outlay for Phase III
facilities according to firm-specific characteristics. Firms that require more capital to produce a given level of
business activity (i.e., firms that have high capital intensity, CAPI) tend to invest more: a one percent increase in
capital intensity leads to a 1.08 percent increase in capital spending. Higher capital turnover/shorter capital life
(CAPT) also has a positive effect on investment decisions: a one percent increase in capital turnover rate
translates to a 0.69 percent increase in capital outlays.
The model also shows that current business environment conditions play an important role in firms' decision to
invest. Negative signs on the capital price (CAPPRC) and debt cost (DEBTCST) variables match expectations,
indicating that falling (either relatively or absolutely) capital equipment prices and less costly credit are likely to
have a positive effect on firms' capital expenditures. The most influential factor is capital equipment prices for
manufacturing facilities. A one percent increase in the capital price index (CAPPRC) leads to a 5.96 percent
decrease in capital investment. Capacity utilization is also an influential factor: a one percent increase in the
Federal Reserve Index of Capacity Utilization for the relevant industrial sector (CAPUTIL) leads to a 1.7 percent
increase in capital investments. The fact that these systematic variables are significant in the regression analysis
means that EPA will be able to control for economy- and industry-wide conditions in estimating capital outlays
for Phase III facilities.
B3A5-5 MODEL VALIDATION
To validate the results of the regression analysis, EPA used the estimated regression equation to calculate capital
expenditures and then compared the resulting estimate of capital expenditures with actual data. EPA used two
methods to validate its results:
*• EPA used median values for explanatory variables from the Value Line data as inputs to estimate
capital expenditures and then compared the estimated value to the median reported capital
expenditures, and
B3A5-12
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
*• EPA used Phase III survey data to estimate capital expenditures and then compared the estimated
values to depreciation reported in the survey.
First, EPA estimated capital expenditures for a hypothetical firm based on the median values of the four
dependent variables from the Value Line data and the relevant values of the three economic indicators. The
estimated capital expenditures for this hypothetical firm are $43 million. EPA then compared this estimate to the
median value of capital expenditures from the Value Line data. The median capital expenditure value in the
dataset is $36 million, which provides a close match to the estimated value. This is not surprising since the same
dataset was used to estimate the regression model and to calculate the median values used in this analysis.
EPA also used Phase III survey data to confirm that the estimated capital expenditures seem reasonable. Because
the Phase III survey does not provide information on capital expenditures, EPA compared the capital expenditure
estimates to the depreciation values reported in the survey. Depreciation had been proposed as a possible
surrogate for cash outlays for capital replacements and additions. However, depreciation does not capture
important variations in capital outlays that result from differences in firms' financial performance.
For this analysis, EPA chose a representative facility from each of the four Phase III primary manufacturing
sectors for model validation. The selected facility for each sector corresponds as closely as possible to the
hypothetical median facility in the sector based on the distribution of facility revenues and facility return on
assets. For each of the four facilities, EPA estimated capital expenditures using the estimated regression equation
and facility financial data. Table B3A55 shows the estimated regression coefficients, financial averages for the
four Phase III sectors, estimated facility capital expenditures, reported facility depreciation, and the comparison of
capital expenditures and depreciation.
As shown in Table B3A5.5, the estimated model provides reasonable estimates of capital expenditures.
Table B3A5.5: Estimation of Capital Outlays for Phase III Sample Facilities: Median Facilities Selected
by Revenue and ROA Percentiles
Sectors
Coefficient
Intercept
(21.88)
Paper and
allied
products
Chemicals
and allied
products
Petroleum
and coal
products
Primary
metals
industries
Pre-Tax
Return
on
Assets
(ROA)
0.53
0.16
0.22
0.15
0.11
Revenue Capital _ ., ,
($2003, Turnover TCfplta'
•••• \ T. ^ Intensity
millions) Rate J
1.13 0.69 1.08
$244 0.09 0.89
$237 0.06 1.14
$1,470 0.05 0.58
$444 0.06 0.52
Estimated
Cost Price of _ ., Capital
, .-,.., Capacity _ *,.,
of Capital TT, ... , . Expenditures
T» u^ /-i j Utilization ff-tnni
Debt Goods ($2003,
millions)
-0.79 -5.96 1.72
7.71 137.60 86.24 $18.94
7.71 137.60 79.36 $15.25
7.71 137.60 91.88 $45.58
7.71 137.60 88.77 $15.58
Difference
between
Depreciation Depreciation
($2003, and Capital
millions) Expenditures
($2003,
millions)
$16.16 ($2.78)
$13.66 $1.59
$62.95 $17.37
$18.55 $2.97
Source: U.S. EPA analysis, 2004.
B3A5-13
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 5 to Chapter B3
One of the possible implications of the hypothesized relationships and estimated coefficient values from the prior
analysis is that a facility's predicted capital expenditures might be expected to increase relative to the facility's
actual depreciation as the facility's ROA increases. An extension and somewhat version of this hypothesis is that,
at lower ROA values, predicted capital expenditures would be less than the depreciation but, that at higher ROA
values, predicted capital expenditures exceed depreciation. These hypotheses are consistent with the expectation
that businesses with higher financial performance will have relatively more attractive investment opportunities
and are more likely to attract the capital to undertake those investments. EPA examined whether these
relationships occur in the 316(b) sample facilities. Specifically, EPA calculated the predicted capital expenditure
for each facility and compared these values to the facilities' reported depreciation values. To remove the scale
effect of revenue, EPA normalized both the predicted capital expenditure and reported depreciation values by
dividing by the three-year average of revenue for each facility. EPA then estimated the simple linear relationship
of the resulting revenue-normalized capital expenditure and deprecation values against facility ROA. The four
graphs on the following pages present, for each of the four two-digit SIC code sectors, the normalized capital
expenditure and deprecation values, and the estimated trend lines for each sector's depreciation and capital
expenditures with respect to ROA.4 The graphs indicate the following:
*• The Paper and Allied Products (SIC 26) graph shows depreciation exceeding predicted capital
expenditure at low ROA values but this relationship reverses with predicted capital expenditure
exceeding depreciation as ROA increases. Thus, the calculations for these facilities match the
hypothesized relationship.
*• The Chemicals and Allied Products (SIC 28) graph also shows depreciation exceeding predicted
capital expenditure at low ROA values, but again the relationship reverses with predicted capital
expenditure exceeding depreciation as ROA increases. This predicted relationship is observed more
strongly for facilities in the Chemicals and Allied Products industry than in the Paper and Allied
Products industry.
*• The Petroleum and Coal Products (SIC 29) graph shows predicted capital expenditures exceeding
depreciation over the ROA range analyzed. However, the extent of difference does not materially
change as ROA increases.
*• The Primary Metal Industries (SIC 33) graph also shows predicted capital expenditures exceeding
depreciation over the ROA range analyzed. However, unlike for the Petroleum and Coal Products
facilities, the amount by which predicted capital expenditures exceeds depreciation increases as ROA
increases, thus matching the hypothesized relationship.
In summary, with the exception of facilities in the Petroleum and Coal Products industry, the estimated model
produces capital expenditure values that increase relative to reported depreciation with increasing ROA, which
matches the hypothesized relationship.
4 For presentation purposes, two outlier facilities were excluded from the graph for SIC 28: Chemicals and allied products, and one
outlier facility was excluded from the graph for SIC 26: Paper and allied products.
B3A5-14
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
Figure B3A5.1: Comparison of Estimated Capital Outlays to Reported Depreciation for Phase III
Survey Facilities in the Paper and Allied Products Sector
CAPEX Linear (DEPR) Linear (CAPEX)
Source: U.S. EPA analysis, 2004.
Figure B3A5.2: Comparison of Estimated Capital Outlays to Reported Depreciation for Phase III
Survey Facilities in the Chemicals and Allied Products Sector
0.40
0.60 0.80
Re tu rn on Assets
1.40
1 .60
DEPR
CAPEX
-Linear (DEPR)
Linear (CAPEX)
Source: U.S. EPA analysis, 2004.
B3A5-15
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 5 to Chapter B3
Figure B3A5.3: Comparison of Estimated Capital Outlays to Reported Depreciation for Phase III
Survey Facilities in the Petroleum and Coal Products Sector
A 1 /;
3
a
1
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es
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o
fc
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-0.10 0.00 0.10 0.20 0.30 0.40 0.50 0.60
Return on Assets
• DEPP pAp-pi^ ^^^^^^^^ L in L 3,r ( D E P F ) ^^^ Lin 3r('~'ArE1M
Source: U.S. EPA analysis, 2004.
Figure B3A5.4: Comparison of Estimated Capital Outlays to Reported Depreciation for Phase III
Survey Facilities in the Primary Metal Industries Sector
1
|
1
£
•B
.1
1
O
Z
c.
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Return on Assets
• DEPR • CAPEX Linear (DEPR) Linear (CAP EX)
Source: U.S. EPA analysis, 2004.
B3A5-16
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 5 to Chapter B3
ATTACHMENT B3A5.A: BIBLIOGRAPHY OF LITERATURE REVIEWED FOR THIS ANALYSIS
As noted above, EPA relied on previous studies of investment behavior to select critical determinants of firms'
capital expenditures. Empirical results from these studies suggest that investment is most sensitive to quantity
variables (output or sales), return-over-cost, and capital utilization (R. Chirinko). Empirical results from more
recent studies further found that increasing depreciation rates and capital equipment prices were of first-order
importance in the equipment investment behavior in the 1990 (T. Tevlin, K. Whelan). Specifically, declining
prices of micro-processor based equipment played a crucial role in the investment boom in the 1990.
Chirinko, Robert S. 1993. "Business Fixed Investment Spending: A Critical Survey of Modeling Strategies,
Empirical Results and Policy Implications." Journal of Economic Literature 31, no. 4: 1875-1911.
Goolsbee, Austan. 1997. "The Business Cycle, Financial Performance, and the Retirement of Capital Goods."
University of Chicago, Graduate School of Business Working Paper.
Greenspan, Alan. 2001. "Economic Developments." Remarks before the Economic Club of New York, New
York, May 24.
Kiyotaki, Nobuhiro and Kenneth D. West. 1996. "Business Fixed Investment And The Recent Business Cycle
In Japan." National Bureau of Economic Research Working Paper 5546.
McCarthy, Jonathan. 2001. "Equipment Expenditures since 1995: The Boom and the Bust." Current Issues In
Economics And Finance 7, no. 9: 1-6.
Opler, Tim and Lee Pinkowitz, Rene Stulz and Rohan Williamson. 1997. "The Determinants and Implications of
Corporate Cash Holdings." Working paper, Ohio State University College of Business.
Tevlin, Stacey and Karl Whelan. 2000. "Explaining the Investment Boom of the 1990s." Board of Governors of
the Federal Reserve System Finance and Economics Discussion Paper no. 2000-11
Uchitelle, Louis. 2001. "Wary Spending by Companies Cools Economy." New York Times, May 14, p. Al.
B3A5-17
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 5 to Chapter B3
ATTACHMENT B3A5.B: HISTORICAL VARIABLES CONTAINED IN THE VALUE LINE
INVESTMENT SURVEY DATASET
All variables are provided for 10 years (except where a firm has been publicly listed for less than 10 years):
*• Price of Common Stock
*• Revenues
*• Operating Income
*• Operating Margin
*• Net Profit Margin
*• Depreciation
*• Working Capital
*• Cash Flow per share
*• Dividends Declared per share
*• Capital Spending per share
*• Revenues per share
*• Average Annual Price-Earnings Ratio
*• Relative Price-Earnings Ratio
*• Average Annual Dividend
*• Return Total Capital
*• Return Shareholders Equity
*• Retained To Common Equity
* All Dividends To Net Worth
*• Employees
* Net Profit
*• Income Tax Rate
*• Earnings Before Extras
*• Earnings per share
*• Long Term Debt
*• Total Loans
*• Total Assets
*• Preferred Dividends
*• Common Dividends
*• Book Value
*• Book Value per share
*• Shareholder Equity
*• Preferred Equity
*• Common Shares Outstanding
*• Average Shares Outstanding
+ Beta
*• Alpha
*• Standard Deviation
B3A5-18
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 6 to Chapter B3
Appendix 6 to Chapter B3:
Summary of Moderate Impact Threshold
Values by Industry
INTRODUCTION APPENDIX CONTENTS
B3 A6-1 Developing Threshold Values for Pre-Tax Return on
Assets B3A6-2
B3 A6-2 Developing Threshold Values for Interest Coverage
Ratio B3A6-2
B3A6-3 Summary of Results B3A6-4
References B3A6-5
Facilities subject to moderate impacts from the
proposed regulation are expected to experience
financial stress short of closure. This analysis uses
two financial indicators: (1) Pre-Tax Return on
Assets (PTRA) and (2) Interest Coverage Ratio
(ICR). These threshold values were calculated at
the industry-level and compared to pre- and post-
compliance PTRA and ICR values for sample facilities to determine if facilities choosing to remain in business
after promulgation of effluent guidelines would experience moderate impacts on their ability to attract and finance
new capital. The six industries considered in this analysis are: Paper, Chemicals, Petroleum, Steel, Aluminum
(the "Primary Manufacturing Industries"), and Other Industries. The remainder of this appendix describes the
sources and methodology used to derive industry-specific moderate impact threshold values.
EPA calculated the thresholds using income and financial structure information by 4-digit SIC code from the Risk
Management Association (RMA) Annual Statement Studies for eight years 1994-2001 (RMA, 2001; RMA 1998).
This source provides quartile values derived from statements of commercial bank borrowers and loan applicants
for firms having less than $250 million in total assets. These criteria may introduce bias, since firms with
particularly poor financial statements might be less likely to apply to banks for loans, and some types of firms
may be more likely to use bank financing than others. However, the RMA data offers the advantage of being
available by 4-digit SIC codes and for quartile ranges.
RMA did not provide data for all 4-digit SIC codes associated with an in-scope Section 316(b) facility. Out of 26
SIC codes associated with facilities in the Primary Manufacturing Industries and 14 SIC codes associated with
facilities in Other Industries, 10 SIC codes associated with facilities in the Primary Manufacturing Industries (38
percent) and 7 SIC codes associated with facilities in Other Industries (50 percent), had no years of data available.
In addition, no data were available for the Aluminum industry, so EPA applied a combined Steel/Aluminum
industry value to facilities in those industries.
The 4-digit SIC code data were consolidated into weighted industry averages, weighted by 1997 value of
shipments from the Economic Censuses (U.S. DOC, 1997). For each industry and impact measure, a separate
threshold was calculated. The use of the RMA data for calculating the threshold values for pre-tax return on assets
and interest coverage ratio is outlined below.
B3A6-1
-------
§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 6 to Chapter B3
B3A6.1 DEVELOPING THRESHOLD VALUES FOR PRE-TAX RETURN ON ASSETS (PTRA)
Pre-tax return on total assets measures management's effectiveness in employing the capital resources of the
business to produce income. A low ratio may indicate that a borrower would have difficulty financing treatment
investments and continuing to attract investment.
The following data from Risk Management Association Annual Statement Studies were used to calculate PTRA:
•• % Profit Before Taxes / Total Assets 25th Ratio of profit before taxes divided by total assets and
multiplied by 100 for the lowest quartile of values in
each 4-digit SIC code.
*• Operating Profit Gross profit minus operating expenses.
*• Profit Before Taxes Operating profit minus all other expenses (net).
RMA provides a measure of pre-tax return on assets that approximates the measure that EPA defined for the
moderate impact analysis. As defined by RMA, this measure is the ratio of pre-tax income to assets, designated
= Pre-Tax Income (EBT) / ASSETS2
5th
However, as defined by EPA for its analysis, the numerator of the PTRA measure requires the use of earnings
before interest and taxes (EBIT) instead of pre-tax income (EBT). Defined as EBIT, the PTRA numerator will
capture all return from assets, whether going to debt or equity. To derive a pre-tax, total return value, EPA
adjusted RMA's measure of PTRA using the median percentage values of EBIT and EBT available from RMA.
This adjustment yields the PTRA measure that EPA used in the moderate impact analysis, designated ROA316(b):
ROA316(b) = ROA * EBIT / EBT
Negative values are included in the weighted-industry PTRA averages but a different method is used to adjust the
ROA values reported in RMA to the value used in the moderate impact analysis. Specifically, using only those
observations (i.e., 4-digit SIC code and year combinations) with positive values for % Profit Before Taxes / Total
Assets, Operating Profit, and Profit Before Taxes, EPA calculated an adjustment factor by subtracting the
difference between ROA316(b) and ROA^^ as follows:
ROA316(b)-ROARMA = adjustment factor.
Those values were consolidated into industry-specific adjustment factors, weighted by 1997 value of shipments
from the Economic Censuses (U.S. DOC, 1997). Each negative PTRA observation from RMA was adjusted by
its industry specific adjustment factor to approximate the measure used in the moderate impact analysis:
ROAju^ + industry specific adjustment factor = ROA316(b)
The industry specific adjustment factors average 0.40 and range from 0.12 for Paper to 0.55 for the combined
Steel/Aluminum industry.
B3A6-2 DEVELOPING THRESHOLD VALUES FOR INTEREST COVERAGE RATIO (ICR)
Interest coverage ratio measures a business' ability to meet current interest payments and, on a pro-forma basis,
to meet the additional interest payments under a new loan. A high ratio may indicate that a borrower would have
little difficulty in meeting the interest obligations of a loan. This ratio serves as an indicator of a firm's capacity to
take on additional debt.
B3A6-2
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 6 to Chapter B3
The following data from Risk Management Association Annual Statement Studies were used to calculate ICR:
•• EBIT/Interest25th Ratio of earnings (profit) before annual interest expense and
taxes (EBIT) divided by annual interest expense for the lowest
quartile of values in each 4-digit SIC code.
*• % Depr., Dep., Amort. /Sales med Median ratio of annual depreciation, amortization and depletion
expenses divided by net sales and multiplied by 100.
*• Operating Profit Gross profit minus operating expenses.
RMA provides a measure of interest coverage that approximates the measure that EPA defined for the moderate
impact analysis. As defined by RMA, this measure is the ratio of earnings before interest and taxes to interest,
designated ICR^^:
ICR^ = EBIT / INTEREST25&
However, as defined by EPA for its analysis, the numerator of the ICR measure requires the use of earnings
before interest, taxes, depreciation, and amortization (EBITDA) instead of earnings before interest and taxes
(EBIT). Defined this way, the ICR numerator will include all operating cash flow that could be used for interest
payments. To derive the desired ICR value (designated ICR316(b)), EPA adjusted the RMA value as outlined
below:
ICR316(b) = EBITDA / INTEREST
Therefore, ICR316(b) = ICR^ * (EBIT + DA) / EBIT
or ICR316(b) = ICRj^ * { 1+ [(DA / SALES) / (EBIT / SALES)]}
For consistency of calculation, EPA used the median values available from RMA for the adjusting both the
numerator (DA / SALES) and denominator (EBIT / SALES) terms.1
EPA used the same method as described above to adjust the negative ICR values reported in RMA to the value
used in the moderate impact analysis. Including only those observations with positive values for EBIT/Interest, %
Depr., Dep., Amort./Sales, and Operating Profit, an adjustment factor was calculated by subtracting the difference
between ICR316(b) and tCR^^as follows:
ICR316(b)-ICRRMA = adjustment factor.
An industry specific adjustment factor was calculated for ICR values similar to the PTRA. Each negative ICR
observation from RMA was adjusted by its industry specific adjustment factor to approximate the measure used in
the moderate impact analysis:
industry specific adjustment factor = ICR
•316(b)
The industry specific adjustment factors average 0.65 and range from 0.55 for Petroleum to 0.70 for Paper and the
combined Steel/Aluminum industry.
1 Numerator (% Depr., Dep., Amort./Sales) is available for quartile values; denominator (Operating Profit) only for median
values.
B3A6-3
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 6 to Chapter B3
B3A6-3 SUMMARY OF RESULTS
Table B3A6.1 reports the resulting threshold values for PTRA and ICR by industry. The PTRA values range
from 1.8 percent for Other Industries to 2.9 percent for Chemicals. The ICR values range from 2.0 for Other
Industries to 2.4 for Chemicals.
Table B3A6.1: Summary of Moderate Impact Thresholds by Industry
based on 25th percentile value of firms reporting data to RMA
Industry
Paper
Chemicals
Petroleum
Steel/Aluminum
Other Industries
Pre-Tax Return on Assets
(PTRA)
2.1%
2.9%
2.1%
2.0%
1.8%
Source: RMA, 2001; RMA, 1998; U.S. Economics Census,
Interest Coverage Ratio
(ICR)
2.2
2.4
2.2
2.1
2
1997; U.S. EPA Analysis, 2004.
B3A6-4
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 6 to Chapter B3
REFERENCES
U.S. Department of Commerce. 1997. Bureau of the Census. Census of Manufacturers, Census of
Transportation, Census of Wholesale Trade, Census of Retail Trade, Census of Service Industries.
Risk Management Association (RMA). 1997-1998. Annual Statement Studies.
Risk Management Association (RMA). 2000-2001. Annual Statement Studies.
B3A6-5
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 6 to Chapter B3
THIS PAGE INTENTIONALLY LEFT BLANK
B3A6-6
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
Appendix 7 to Chapter B3
Appendix 7 to Chapter B3:
Analysis of Baseline Closure Rates
INTRODUCTION
This appendix presents information on the annual entry
and closure of establishments in the Primary
Manufacturing Industries.
APPENDIX CONTENTS
B3A7-1 Annual Establishment Closures
References
B3A7-1
B3A7-2
B3A7-1 ANNUAL ESTABLISHMENT CLOSURES
EPA used the dynamic data from the Statistics of U.S. Businesses (SUSB) to estimate the rate at which facilities
in these industries leave the industry each year. The SUSB data report numbers of establishments starting up,
closing, expanding employment and contracting employment each year from 1989 through 2001 (the latest year
currently available).
EPA compared the percent of facilities predicted to close in the baseline closure analysis to typical closure rates in
the five primary industries. The SUSB data are organized by 3-digit SIC code for years 1990 through 1998, and
4-digit NAICS code for years 1999 through 2001. As a result, it is not possible to compile a series of data
consistently aligned with the industries profiled. Nevertheless, EPA believes the SUSB data can provide a
general measure of establishment closures for comparison for the broad industry segments.
Table B3A7.1 shows the percentage of facilities assessed as closures in the baseline analysis, and the range and
average of closure rates for each of the five Primary Manufacturing Industries. As reported in the table, between
1.4 percent and 12.5 percent of all facilities in these industries close annually. The estimated baseline closure
rates for facilities in the Steel and Aluminum industries are higher than the observed closure rates in these
industries, as reported in SUSB data. However, EPA's baseline closure rates are estimated from sample survey
data and are thus subject to the statistical uncertainty of the sample survey. EPA believes the individual sample
facility analyses accurately represent the baseline financial condition of the facilities, based on the data provided
in the facility questionnaires.
Table B3A7.1: Predicted Baseline Closures and Annual Percentage of Closures
for Primary Manufacturing Industries (1990-2001)
Sector
Paper
Chemicals
Petroleum
Steel
Aluminum
Total
Percent of 316(b)
Facilities Assessed as
Baseline Closures
13.6%
2.2%
13.9%
36.8%
33.3%
13.6%
Percent of Establishments
Range
1.4% -9. 8%
2.3% -9.2%
3. 3% -10.6%
4.6% -10.0%
2.3% -12. 5%
1.4% -12.5%
Closing
Average
5.0%
6.4%
6.6%
6.5%
6.2%
6.1%
Source: Small Business Administration, Statistics of U.S. Businesses.
B3A7-1
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§ 316(b) Proposed Rule: Phase III - EA, Part B: Economic Analysis for Existing Facilities Appendix 7 to Chapter B3
REFERENCES
Small Business Administration. Statistics of U.S. Businesses.
Available at: http://www.sba.gov/ADVO/stats/data.html.
U.S. Department of Commerce (U.S. DOC). 1997. Bureau of the Census. 1997 Economic Census Bridge Between
NAICSandSIC.
B3A7-2
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
Chapter B4: Profile of the Electric Power
Industry
CHAPTER CONTENTS
B4-1 Industry Overview
B4-1.1 Industry Sectors
B4-1.2 Prime Movers
B4-1.3 Ownership
B4-2 Domestic Production
B4-2.1 Generating Capacity
B4-2.2 Electricity Generation
B4-2.3 Geographic Distribution
B4-3 Power Plants Potentially Subject to Phase III
Regulation
B4-3.1 Ownership Type
B4-3.2 Ownership Size
B4-3.3 Plant Size
B4-3.4 Geographic Distribution
B4-3.5 Cooling Water Characteristics
B4-4 Industry Outlook
B4-4.1 Current Status of Industry Deregulation
B4-4.2 Energy Market Model Forecasts
Glossary
References
. B4-2
. B4-2
. B4-2
. B4-5
. B4-8
. B4-8
. B4-9
B4-10
B4-13
B4-14
B4-15
B4-17
B4-18
B4-19
B4-21
B4-21
B4-22
B4-24
B4-27
INTRODUCTION
This profile compiles and analyzes economic and
operational data for the electric power generating
industry. It provides information on the structure and
overall performance of the industry and explains
important trends that may influence the nature and
magnitude of economic impacts that could result
from regulation of facilities in Phase III. Based on
the proposed design intake flow threshold-based
options in today's proposed rule, Electric Generators
would not be subject to national categorical
requirements under the proposed Phase III rule.
However, in developing the proposed rule, EPA
analyzed other flow threshold options that would
have subjected Electric Generators to national
requirements. This chapter provides a profile of this
industry, while Chapter B5 provides the economic
impact analysis for this industry, based on the other
threshold options considered - but not proposed - by
EPA.
The electric power industry is one of the most extensively studied industries. The Energy Information
Administration (EIA), among others, publishes a multitude of reports, documents, and studies on an annual basis.
This profile is not intended to duplicate those efforts. Rather, this profile compiles, summarizes, and presents
those industry data that are important in the context of the proposed rule for Phase III existing facilities. For more
information on general concepts, trends, and developments in the electric power industry, the last section of this
profile, "References," presents a select list of other publications on the industry.
The remainder of this profile is organized as follows:
*• Section B4-1 provides a brief overview of the industry, including descriptions of major industry sectors,
types of generating facilities, and the entities that own generating facilities.
*• Section B4-2 provides data on industry production, capacity, and geographic distribution.
*• Section B4-3 focuses on electric generating facilities potentially subject to Phase III regulation. This
section provides information on the physical, geographic, and ownership characteristics of the potential
Phase III generators.
*• Section B4-4 provides a brief discussion of factors affecting the future of the electric power industry,
including the status of restructuring, and summarizes forecasts of market conditions through the year
2025.
B4-1
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
B4-1 INDUSTRY OVERVIEW
This section provides a brief overview of the electric power industry, including descriptions of major industry
sectors, types of generating facilities, and the entities that own generating facilities.
B4-1.1 Industry Sectors
The electricity business is made up of three major functional service components or sectors: generation,
transmission, and distribution. These terms are defined as follows (Beamon, 1998; Joskow, 1997; U.S. DOE,
2004):!
*• The generation sector includes the power plants that produce, or "generate," electricity.2 Electric power
is usually produced by a mechanically driven rotary generator called a turbine. Generator drivers, also
called prime movers, include gas or diesel internal combustion machines, as well as streams of moving
fluid such as wind, water from a hydroelectric dam, or steam from a boiler. Most boilers are heated by
direct combustion of fossil or biomass-derived fuels or waste heat from the exhaust of a gas turbine or
diesel engine, but heat from nuclear, solar, and geothermal sources is also used. Electric power may also
be produced without a generator by using electrochemical, thermoelectric, or photovoltaic (solar)
technologies.
*• The transmission sector can be thought of as the interstate highway system of the business - the large,
high-voltage power lines that deliver electricity from power plants to local areas. Electricity transmission
involves the "transportation" of electricity from power plants to distribution centers using a complex
system. Transmission requires: interconnecting and integrating a number of generating facilities into a
stable, synchronized, alternating current (AC) network; scheduling and dispatching all connected plants to
balance the demand and supply of electricity in real time; and managing the system for equipment
failures, network constraints, and interaction with other transmission networks.
»• The distribution sector can be thought of as the local delivery system - the relatively low-voltage power
lines that bring power to homes and businesses. Electricity distribution relies on a system of wires and
transformers along streets and underground to provide electricity to residential, commercial, and
industrial consumers. The distribution system involves both the provision of the hardware (e.g., lines,
poles, transformers) and a set of retailing functions, such as metering, billing, and various demand
management services.
Of the three industry sectors, only electricity generation uses cooling water and is subject to section 316(b)
regulation. The remainder of this profile will focus on the generation sector of the industry.
B4-1.2 Prime Movers
Electric power plants use a variety of prime movers to generate electricity. The type of prime mover used at a
given plant is determined based on the type of load the plant is designed to serve, the availability of fuels, and
energy requirements. Most prime movers use fossil fuels (coal, oil, and natural gas) as an energy source and
employ some type of turbine to produce electricity. According to the Department of Energy, the most common
prime movers are (U.S. DOE, 2004):
'Terms highlighted in bold and italic font are defined in the glossary at the end of this chapter.
2The terms "plant" and "facility" are used interchangeably throughout this profile.
B4-2
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
*• Steam Turbine: "Most of the electricity in the United States is produced in steam turbines. In a
fossil-fueled steam turbine, the fuel is burned in a boiler to produce steam. The resulting steam then turns
the turbine blades that turn the shaft of the generator to produce electricity. In a nuclear-powered steam
turbine, the boiler is replaced by a reactor containing a core of nuclear fuel (primarily enriched uranium).
Heat produced in the reactor by fission of the uranium is used to make steam. The steam is then passed
through the turbine generator to produce electricity, as in the fossil-fueled steam turbine. Steam-turbine
generating units are used primarily to serve the base load of electric utilities. Fossil-fueled
steam-turbine generating units range in size (nameplate capacity) from 1 megawatt (MW) to more
than 1,000 megawatts. The size of nuclear-powered steam-turbine generating units in operation today
ranges from 75 megawatts to more than 1,400 megawatts."
*• Gas Turbine: "In a gas turbine (combustion-turbine) unit, hot gases produced from the combustion of
natural gas and distillate oil in a high-pressure combustion chamber are passed directly through the
turbine, which spins the generator to produce electricity. Gas turbines are commonly used to serve the
peak loads of the electric utility. Gas-turbine units can be installed at a variety of site locations,
because their size is generally less than 100 megawatts. Gas-turbine units also have a quick startup time,
compared with steam-turbine units. As a result, gas-turbine units are suitable for peakload, emergency,
and reserve-power requirements. The gas turbine, as is typical with peaking units, has a lower efficiency
than the steam turbine used for baseload power."
*• Combined-Cycle Unit: "The efficiency of the gas turbine is increased when coupled with a steam
turbine in a combined-cycle operation. In this operation, hot gases (which have already been used to spin
one turbine generator) are moved to a waste-heat recovery steam boiler where the water is heated to
produce steam that, in turn, produces electricity by running a second steam-turbine generator. In this
way, two generators produce electricity from one initial fuel input. All or part of the heat required to
produce steam may come from the exhaust of the gas turbine. Thus, the steam-turbine generator may be
supplementarily fired in addition to the waste heat. Combined-cycle generating units generally serve
intermediate loads"
*• Internal Combustion Engine: "These prime movers have one or more cylinders in which the
combustion of fuel takes place. The engine, which is connected to the shaft of the generator, provides the
mechanical energy to drive the generator to produce electricity. Internal-combustion (or diesel)
generators can be easily transported, can be installed upon short notice, and can begin producing
electricity nearly at the moment they start. Thus, like gas turbines, they are usually operated during
periods of high demand for electricity. They are generally about 5 megawatts in size."
»• Hydroelectric Generating Unit: "Hydroelectric power is the result of a process in which flowing
water is used to spin a turbine connected to a generator. The two basic types of hydroelectric systems are
those based on falling water and natural river current. In the first system, water accumulates in reservoirs
created by the use of dams. This water then falls through conduits (penstocks) and applies pressure
against the turbine blades to drive the generator to produce electricity. In the second system, called a
run-of-the-river system, the force of the river current (rather than falling water) applies pressure to the
turbine blades to produce electricity. Since run-of-the-river systems do not usually have reservoirs and
cannot store substantial quantities of water, power production from this type of system depends on
seasonal changes and stream flow. These conventional hydroelectric generating units range in size from
less than 1 megawatt to 700 megawatts. Because of their ability to start quickly and make rapid changes
in power output, hydroelectric generating units are suitable for serving peak loads and providing spinning
reserve power, as well as serving baseload requirements. Another kind of hydroelectric power generation
is the pumped storage hydroelectric system. Pumped storage hydroelectric plants use the same principle
for generation of power as the conventional hydroelectric operations based on falling water and river
current. However, in a pumped storage operation, low-cost off-peak energy is used to pump water to an
upper reservoir where it is stored as potential energy. The water is then released to flow back down
through the turbine generator to produce electricity during periods of high demand for electricity."
In addition, there are a number of other prime movers:
B4-3
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
*• Other Prime Movers: "Other methods of electric power generation, which presently contribute only
small amounts to total power production, have potential for expansion. These include geothermal, solar,
wind, and biomass (wood, municipal solid waste, agricultural waste, etc.). Geothermal power comes
from heat energy buried beneath the surface of the earth. Although most of this heat is at depths beyond
current drilling methods, in some areas of the country, magma - the molten matter under the earth's crust
from which igneous rock is formed by cooling - flows close enough to the surface of the earth to produce
steam. That steam can then be harnessed for use in conventional steam-turbine plants. Solar power is
derived from the energy (both light and heat) of the sun. Photovoltaic conversion generates electric
power directly from the light of the sun; whereas, solar-thermal electric generators use the heat from the
sun to produce steam to drive turbines. Wind power is derived from the conversion of the energy
contained in wind into electricity. A wind turbine is similar to a typical wind mill. However, because of
the intermittent nature of sunlight and wind, high capacity utilization factors cannot be achieved for these
plants. Several electric utilities have incorporated wood and waste (for example, municipal waste, corn
cobs, and oats) as energy sources for producing electricity at their power plants. These sources replace
fossil fuels in the boiler. The combustion of wood and waste creates steam that is typically used in
conventional steam-electric plants."
Section 316(b) regulation is only relevant for electric generators that use cooling water. However, not all prime
movers require cooling water. Only prime movers with a steam electric generating cycle use large enough
amounts of cooling water to fall under the scope of the options evaluated for this proposed rule. This profile will,
therefore, differentiate between steam electric and other prime movers. EPA identified steam electric prime
movers using data collected by the EIA (U.S. DOE, 2001a).3 For this profile, the following prime movers,
including both steam turbines and combined-cycle technologies, are classified as steam electric:
*• Steam Turbine, including nuclear, geothermal, and solar steam (not including combined cycle),
*• Combined Cycle Steam Part,
*• Combined Cycle Combustion Turbine Part,
*• Combined Cycle Single Shaft (combustion turbine and steam turbine share a single generator), and
*• Combined Cycle Total Unit (used only for plants/generators that are in the planning stage).
Table B4-1 provides data on the number of existing power plants, by prime mover and regulatory status. This
table includes all plants that have at least one non-retired unit and that submitted Form EIA-860 (Annual Electric
Generator Report) in 2001. For the purpose of this analysis, plants were classified as "steam turbine" or
"combined-cycle" if they have at least one generating unit of that type. Plants that do not have any steam electric
units were classified under the prime mover type that accounts for the largest share of the plant's total generating
capacity.
3Form EIA-860 (Annual Electric Generator Report) collects data used to create an annual inventory of all
units, plants, and utilities. The data collected includes: type of prime mover; nameplate rating; energy source;
year of initial commercial operation; operating status; cooling water source, and NERC region.
B4-4
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
Table B4-1: Number of Existing Utility and Nonutility Plants by Prime Mover in 2001
"D ' HT
Steam Turbine
Combined-Cycle
Gas Turbine
Internal Combustion
Hydroelectric
Other
Total
Number of Plants
Utility3
635
59
308
557
900
22
2,481
Nonutility3
903
239
426
346
490
134
2,538
Total
1,538
298
734
903
1,390
156
5,019
a See definition of utility and nonutility in Section B4-1.3.
Source: U.S. DOE, 2001a.
B4-1.3 Ownership
The U.S. electric power industry consists of two broad categories of firms that own and operate electric
generating plants: traditional electric utilities and nontraditional participants. Generally, they can be defined as
follows (adapted from U.S. DOE, 2003a):
»»» Traditional electric utilities
Traditional electric utilities are regulated and traditionally vertically integrated entities. They all have distribution
facilities for delivery of electric energy for use primarily by the public, but they may or may not generate
electricity. "Transmission utility" refers to the regulated owner/operator of the transmission system only.
"Distribution utility" refers to the regulated owner/operator of the distribution system serving retail customers.
Electric utilities can be further divided into four major ownership categories: investor-owned utilities, publicly-
owned utilities, rural electric cooperatives, and Federal utilities. Each category is discussed below (U.S. DOE,
2004).
*• Investor-owned utilities (lOUs) are privately owned entities. Like all private businesses, investor-
owned electric utilities have the fundamental objective of producing a return for their investors. These
utilities either distribute profits to stockholders as dividends or reinvest the profits. Investor-owned
electric utilities are granted service monopolies in certain geographic areas and are obliged to serve all
consumers. As franchised monopolies, these utilities are regulated and required to charge reasonable
prices, to charge comparable prices to similar classifications of consumers, and to give consumers access
to services under similar conditions. Most investor-owned electric utilities are operating companies that
provide basic services for the generation, transmission, and distribution of electricity. The majority of
investor-owned utilities perform all three functions. In 2001, lOUs operated 1,148 facilities, which
accounted for approximately 44% of all U.S. electric generation capacity (U.S. DOE, 2001a).
*• Publicly-owned utilities are nonprofit local government agencies established to provide service to their
communities and nearby consumers at cost. Publicly owned electric utilities include municipalities, State
authorities, and political subdivisions (e.g., public power districts, irrigation projects, and other State
agencies established to serve their local municipalities or nearby communities). Excess funds or "profits"
from the operation of these utilities are put toward reducing rates, increasing facility efficiency and
capacity, and funding community programs and local government budgets. Most municipal utilities are
nongenerators engaging solely in the purchase of wholesale electricity for resale and distribution. The
larger municipal utilities, however, generate and transmit electricity as well. In general, publicly-owned
utilities have access to tax-free financing and do not pay certain taxes or dividends, giving them some
cost advantages over lOUs. In 2001, municipalities operated 785 facilities (4.9% of U.S. capacity), States
B4-5
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
operated 85 facilities (2.1% of U.S. capacity), and political subdivisions operated 103 facilities (2.0% of
U.S. capacity) (U.S. DOE, 200la).
*• Cooperative utilities (or "coops") are member-owned entities created to provide electricity to those
members. These utilities, established under the Rural Electrification Act of 1936, operate in rural areas
with low concentrations of consumers because these areas historically have been viewed as uneconomical
operations for lOUs. The National Rural Utilities Cooperative Finance Corporation, the Federal
Financing Bank, and the Bank of Cooperatives are important sources of financing for these utilities.
Cooperatives operate in 47 States and are incorporated under State laws. In 2001, rural electric
cooperatives operated 166 generating facilities and accounted for approximately 3.2% of all U.S. electric
generation capacity (U.S. DOE, 2001a).
*• Federal electric utilities are part of several agencies in the U.S. Government: the Army Corps of
Engineers (Department of Defense), the Bureau of Indian Affairs and the Bureau of Reclamation
(Department of the Interior), the International Boundary and Water Commission (Department of State),
the Power Marketing Administrations (Department of Energy), and the Tennessee Valley Authority
(TVA). Three Federal agencies operate generating facilities: TVA, the largest Federal producer; the U.S.
Army Corps of Engineers; and the U.S. Bureau of Reclamation. In 2001, the ten Federal electric utilities
operated 194 facilities, accounting for 7.6% of total U.S. electric generation capacity (U.S. DOE, 200 la).
Traditional electric utilities are hereafter referred to as "utilities".
»»» Nontraditionalparticipants
Nontraditional participants are unregulated entities and include energy service providers, power marketers,
independent power producers (IPPs), and combined heat and power plants (CHPs, formerly referred to as
cogenerators). IPPs own or operate facilities whose primary business is to produce electricity for use by the
public; they are not aligned with distribution facilities. CHPs are plants designed to produce both heat and
electricity from a single heat source. CHPs can be independent power producers, or industrial or commercial
establishments. In 2001, nontraditional participants operated 2,538 facilities, accounting for 36.1% of total U.S.
electric generation capacity (U.S. DOE, 200la).
Nontraditional participants in the electric power industry are hereafter referred to as "n on utilities".
B4-6
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
Figure B4-1 presents the number of generating facilities and their capacity in 2001, by type of ownership. The
horizontal axis also presents the percentage of the U.S. total that each type represents. This figure is based on
data for all plants that have at least one non-retired unit and that submitted Form EIA-860 in 2001. The graphic
shows that nonutilities account for the largest percentage of facilities (2,538, or approximately 51%), but only
represent 36% of total U.S. generating capacity. Investor-owned utilities operate the second largest number of
facilities, 1,147, and account for 44.1% of total U.S. capacity.
Figure B4-1: Distribution of Facilities and Capacity by Ownership Type in 2001
/
/
Investor-Owned
Municipality
State
Political Subdivision
Cooperative
Federal
Nonutility
i i i i
J 404
l> 1 1/18
^ — •* 44^895 MW
G
£
£
E
/
0.0%
|19,098I\
.
118,012 IV
P 103
]• 29,010
iJ 166
Q69
^ 194
L> '"•'
IW
1W
MW
,402 MW
.329
550 MW
^^^^^^^e^^=^^=pi
0
158MW
2,538
/ / ^ / / /
• Capacity
(MW)
DNunberof
Plants
10.0% 20.0% 30.0% 40.0% 50.0% 60.0%
Source: U.S. DOE, 2001a.
B4-7
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
B4-2 DOMESTIC PRODUCTION
This section presents an overview of U.S. generating capacity and electricity generation. Section B4-2.1 provides
data on capacity, and Section B4-2.2 provides data on generation. Section B4-2.3 presents an overview of the
geographic distribution of generation plants and capacity.
B4-2.1 Generating Capacity
Utilities own and operate the majority of the
generating capacity (65%) in the United States.
Nonutilities owned only 35% of total capacity
in 2001. Nonutility capacity has increased
substantially in the past few years, as a result of
both new plant construction by independent
power producers and plant divestitures by
investor-owned utilities. Nonutility capacity
has increased 537% between 1991 and 2001,
compared with a decrease in utility capacity of
21% over the same time period (U.S. DOE,
2003a).
Figure B4-2 shows the growth in utility and
nonutility capacity from 1991 to 2001. The
growth in nonutility capacity, combined with a
decrease in utility capacity, has resulted in a
modest growth in total generating capacity. The
significant increase in nonutility capacity and
decrease in utility capacity since 1997 is mainly
attributable to utility plants being sold to
nonutilities.
CAPACITY/CAPABILITY
The rating of a generating unit is a measure of its ability to
produce electricity. Generator ratings are expressed in
megawatts (MW). Capacity and capability are the two common
measures:
Nameplate capacity is the full-load continuous output rating
of the generating unit under specified conditions, as designated
by the manufacturer.
Net capability is the steady hourly output that the generating
unit is expected to supply to the system load, as demonstrated by
test procedures. The capability of the generating unit in the
summer is generally less than in the winter due to high
ambient-air and cooling-water temperatures, which cause
generating units to be less efficient. The nameplate capacity of a
generating unit is generally greater than its net capability.
U.S. DOE, 2004
Figure B4-2: Net Summer Capacity, 1991 to 2001 (MW)
900,000
800,000
700,000
600,000
500,000
400,000
300,000
200,000
100,000
—
—
s—
__
—
^
_
—
—
^
—
—
=
—
—
<=
_
—
—
^
—
—
<=
—
—
^
_
—
—
—
—
f=2
—
—
—
1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
n Nonutility
• Utility
Source: U.S. DOE, 2003a.
B4-,
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
B4-2.2 Electricity Generation
In 2001, total net electricity generation in the
U.S. was 3,737 million MWh. Utility-owned
plants accounted for 70% of this amount.
Total net generation has increased by 22%
over the 11 year period from 1991 to 2001.
During this period, nonutilities increased
their electricity generation by 345%. In
comparison, generation by utilities decreased
by 7% (U.S. DOE, 2003a). This trend is
expected to continue with deregulation in the
coming years, as more facilities are
purchased and built by nonutility power
producers.
Table B4-2 shows the change in net
generation between 1991 and 2001 by energy
source and ownership type.
MEASURES OF GENERATION
The production of electricity is referred to as generation and is
measured in kilowatthours (kWh). Generation can be measured
as:
Gross generation: The total amount of power produced by an
electric power plant.
Net generation: Power available to the transmission system
beyond that needed to operate plant equipment. For example,
around 7% of electricity generated by steam electric units is used to
operate equipment.
Electricity available to consumers: Power available for sale to
customers. Approximately 8% to 9% of net generation is lost during
the transmission and distribution process.
U.S. DOE, 2004
Table B4-2: Net Generation by Energy
Source and Ownership Type, 1991 to 2001 (million MWh)
Energy
Source
Coal
Nuclear
Natural Gas
Hydropower
Oil
Renewablesa
Other Gases
Otherb
Total
Utilities
1991
1,551
613
264
276
111
10
-
-
2,825
2001
1,560
534
264
190
79
2
-
-
2,630
% Change
0.6%
-12.8%
0.1%
-31.0%
-29.2%
-78.8%
-
-
-6.9%
Nonutilities
1991
39
-
117
9
8
59
11
5
249
2001
344
235
375
18
46
76
9
5
1,107
% Change
771.4%
n/a
219.2%
101.9%
454.7%
29.3%
-20.3%
-1.1%
344.9%
Total
1991
1,591
613
382
284
120
69
11
5
3,074
2001
1,904
769
639
208
125
78
9
5
3,737
% Change
19.7%
25.5%
67.5%
-26.8%
4.3%
13.4%
-20.3%
-1.0%
21.6%
a Renewables include solar, wind, wood, biomass, and geothermal energy sources.
b Other includes batteries, chemicals, hydrogen, pitch, purchased steam, sulfur, and miscellaneous technologies
Source: U.S. DOE, 2003a.
As shown in Table B4-2, natural gas generation grew the fastest among the fuel source categories, increasing by
68% between 1991 and 2001. Nuclear generation increased by 26%, while coal generation increased by 20%.
Generation from renewable energy sources increased 13%. Hydropower, however, experienced a decline of 27%.
For utilities, generation using natural gas and coal as fuel sources was relatively constant. Generation using other
sources fell, mostly because of sales to nonutilities. Nonutility generation grew quickly between 1991 and 2001
with the passage of legislation aimed at increasing competition in the industry. Coal generation was the fastest
growing nonutility energy source, increasing 771% between 1991 and 2001. Generation from oil-fired facilities
also increased substantially, by 455%.
B4-9
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
Figure B4-3 shows total net generation for the U.S. by primary fuel source, for utilities and nonutilities.
Electricity generation from coal-fired plants accounted for 51% of total 2001 generation. Electric utilities
generated 82% (1,560 billion kWh) of the 1,904 billion kWh of electricity generated by coal-fired plants. This
represents approximately 59% of total utility generation. The remaining 18% (344 billion kWh) of coal-fired
generation were provided by nonutilities, accounting for 31% of total nonutility generation. The second largest
source of electricity generation was nuclear power plants, accounting for 20% total utility generation and 21% of
nonutility generation. Another significant source of electricity generation were gas-fired power plants, which
accounted for 34% of nonutility generation and 17% of total generation.
Figure B4-3: Percentage of Electricity Generation by Primary Fuel Source in 2001
Source: U.S. DOE, 2003a.
The options evaluated for this proposed rule would affect facilities differently based on the fuel sources and prime
movers used to generate electricity. As described in Section B4-1.2 above, only prime movers with a steam
electric generating cycle use substantial amounts of cooling water and are potentially subject to Phase III
regulation.
B4-2.3 Geographic Distribution
Electricity is a commodity that cannot be stored or easily transported over long distances. As a result, the
geographic distribution of power plants is of primary importance to ensure a reliable supply of electricity to all
customers. The U.S. bulk power system is composed of three major networks, or power grids:
*• the Eastern Interconnected System, consisting of one third of the U.S., from the East Coast to East of the
Missouri River;
*• the Western Interconnected System, West of the Missouri River, including the Southwest and areas West
of the Rocky Mountains; and
*• the Texas Interconnected System, the smallest of the three, consisting of the majority of Texas.
B4-10
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
The Texas system is not connected with the other two systems, but the other two have limited interconnection to
each other. The Eastern and Western systems are integrated with or have links to the Canadian grid system. The
Western and Texas systems have links with Mexico.
These major networks contain extra-high voltage connections that allow for power transactions from one part of
the network to another. Wholesale transactions can take place within these networks to reduce power costs,
increase supply options, and ensure system reliability. Reliability refers to the ability of power systems to meet
the demands of consumers at any given time. Efforts to enhance reliability reduce the chances of power outages.
The North American Electric Reliability Council (NERC) is responsible for the overall reliability, planning, and
coordination of the power grids. This voluntary organization was formed in 1968 by electric utilities, following a
1965 blackout in the Northeast. NERC is organized into ten regional councils that cover the 48 contiguous States,
and affiliated councils that cover Hawaii, part of Alaska, and portions of Canada and Mexico. These regional
councils are responsible for the overall coordination of bulk power policies that affect their regions' reliability and
quality of service. Each NERC region deals with electricity reliability issues in its region, based on available
capacity and transmission constraints. The councils also aid in the exchange of information among member
utilities in each region and among regions. Service areas of the member utilities determine the boundaries of the
NERC regions. Though limited by the larger bulk power grids described above, NERC regions do not necessarily
follow any State boundaries. Historically, almost all wholesale trade was within the NERC regions, but utilities
are expanding wholesale trade beyond those traditional boundaries (U.S. DOE, 2004).
Figure B4-4 below provides a map of the NERC regions, which include:
*• ECAR - East Central Area Reliability Coordination Agreement
*• ERCOT - Electric Reliability Council of Texas, Inc.
*• FRCC - Florida Reliability Coordinating Council
*• MAAC - Mid-Atlantic Area Council
*• MAIN - Mid-America Interconnected Network, Inc.
*• MAPP - Mid-Continent Area Power Pool
*• NPCC - Northeast Power Coordinating Council
*• SERC - Southeastern Electric Reliability Council
*• SPP - Southwest Power Pool, Inc.
*• WECC - Western Electricity Coordinating Council (formerly the Western Systems Coordinating
Council)
Alaska and Hawaii are not shown in Figure B4-4. Part of Alaska is covered by the Alaska Systems Coordinating
Council (ASCC), an affiliate NERC member. The State of Hawaii also has its own reliability authority (HICC).
B4-11
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
Figure B4-4: North American Electric Reliability Council (NERC)
Regions
FRCC
Source: NERC, 2004.
The options evaluated for Phase III existing facilities may affect plants located in different NERC regions
differently. Economic characteristics of existing facilities affected by the analyzed options are likely to vary
across regions by fuel mix, and the costs of fuel, transportation, labor, and construction. Baseline differences in
economic characteristics across regions may influence the impact of an option on profitability, electricity prices,
and other impact measures. However, as discussed in the appendix to Chapter B5: Economic Impact Analysis for
Electric Generators, the three proposed options are estimated to have no impact on electricity prices in each
region since none of the three options requires any power plants to comply with the national categorical
requirements of the proposed rule.
Table B4-3 shows the distribution of all existing plants and capacity by NERC region. The table shows that 1,306
plants, equal to 26% of all facilities in the U.S., are located in the Western Electric Coordinating Council
(WECC). However, these plants account for only 17% of total national capacity. Conversely, only 13% of
generating plants are located in the Southeastern Electric Reliability Council (SERC), yet these plants account for
22% of total national capacity.
B4-12
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
Table B4-3: Distribution of Existing Plants and Capacity by NERC Region in 2001
NERC Region
ASCC
ECAR
ERCOT
FRCC
fflCC
MAAC
MAIN
MAPP
NPCC
SERC
SPP
WECC
Total
Number
124
448
215
128
34
246
412
445
718
661
282
1,306
5,019
Plants
% of Total
2.5%
8.9%
4.3%
2.6%
0.7%
4.9%
8.2%
8.9%
14.3%
13.2%
5.6%
26.0%
100%
Capacity
Total MW
2,261
128,301
80,523
45,505
2,452
63,676
70,568
37,410
69,861
204,538
51,743
157,287
914,124
% of Total
0.2%
14.0%
8.8%
5.0%
0.3%
7.0%
7.7%
4.1%
7.6%
22.4%
5.7%
17.2%
100%
Source: U.S. DOE, 2001a.
B4-3 POWER PLANTS POTENTIALLY SUBJECT TO PHASE III REGULATION
Section 316(b) of the Clean Water Act applies to point source facilities which use or propose to use a cooling
water intake structure that withdraws cooling water directly from a surface waterbody of the United States.
Among power plants, only those facilities employing a steam electric generating technology require cooling water
and are therefore of interest to this analysis.
The following sections describe power plants that are potentially subject to Phase III regulation. These are
existing, steam electric power generating facilities that meet all of the following conditions:4
*• They use a cooling water intake structure or structures, or obtain cooling water by any sort of contract or
arrangement with an independent supplier who has a cooling water intake structure; or their cooling water
intake structure(s) withdraw(s) cooling water from waters of the U.S., and at least twenty-five (25)
percent of the water withdrawn is used for contact or non-contact cooling purposes;
»• they have a National Pollutant Discharge Elimination System (NPDES) permit or are required to obtain
one; and
*• they have a design intake flow (DIP) of 2 million gallons per day (MGD) or greater but were not covered
by the final Phase II rule (i.e., their DIP is at least 2 MGD but less than 50 MGD).
4Existing manufacturing facilities as well as new offshore oil and gas extraction facilities are also potentially
subject to Phase III regulation. See chapters Al, B2, and C2 for more information on these industries.
B4-13
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
Phase III regulation also covers substantial additions
or modifications to operations undertaken at such
facilities. While all electric generators that meet
these criteria are potentially subject to Phase III
regulation, this Economic Analysis (EA) focuses on
113 steam electric power generating facilities
identified in EPA's 2000 Section 316(b) Industry
Survey. These 113 facilities represent 117 facilities
nation-wide.5 The remainder of this chapter will
refer to these potentially regulated facilities as
"potential Phase III Electric Generators."
The following sections present a variety of physical,
geographic, and ownership information about the
potential Phase III Electric Generators. Topics
discussed include:
*• Ownership type: Section B4-3.1 discusses
potential Phase III Electric Generators with
respect to the electric utility entities that
own them (referred to as "owner-utilities").
*• Ownership size: Section B4-3.2 presents
information on the size of the ultimate
parent entities of potential Phase III Electric
Generators.
*• Plant size: Section B4-3.3 discusses the size
distribution of potential Phase III Electric
Generators by generation capacity.
WATER USE BY STEAM ELECTRIC POWER
PLANTS
Steam electric generating plants are the single largest
industrial users of water in the United States. In 2000:
*• steam electric plants withdrew an estimated 195
billion gallons per day, accounting for 48% of total
water withdrawals and 60% of total surface water
withdrawals in the U.S.;
>• steam electric plants accounted for 96% of all saline
withdrawals in the U.S.;
*• steam electric water withdrawals have increased by
3% between 1995 and 2000;
*• surface water accounted for more than 99% of steam
electric water withdrawals;
>• approximately 69% of water intake by the electric
power industry was from freshwater sources, 31%
was from saline sources;
*• 91% of water withdrawal by power plants was used
in once-through cooling systems; 9% was used in
closed-loop cooling systems;
*• Illinois, Texas, and Tennessee combined accounted
for 22% of steam electric freshwater withdrawals;
California and Florida combined accounted for 41%
of steam electric saline withdrawals;
>• the average amount of water used to produce one
kilowatthour (kWh) decreased from 63 gallons in
1950 to 21 gallons in 2000.
USGS, 2004
Geographic distribution: Section B4-3.4
discusses the distribution of potential Phase III Electric Generators by NERC region.
Cooling Water Characteristics: Section B4-3.5 presents information on the type of waterbody from
which potential Phase III Electric Generators draw their cooling water, the type of cooling system they
operate, and the design intake flow of their cooling water intake structures.
B4-3.1 Ownership Type
The owners and operators of power plants can be divided into two broad ownership categories: traditional utilities
and nonutilities. Utilities can further be classified as investor-owned utilities, publicly-owned utilities
(municipalities, State authorities, and political subdivisions), cooperatives, and Federal electric utilities (see also
Section B4-1.3 above). This classification is important because EPA has separately considered impacts on
governments in its regulatory development (see Chapter D2: UMRA Analysis for the analysis of government
impacts of the proposed rule).
5EPA applied sample weights to the 113 facilities to account for non-sampled facilities and facilities that did
not respond to the survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer to
the Information Collection Request (U.S. EPA, 2000).
B4-14
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
Table B4-4 shows the number of owner-utilities,6 plants, and capacity by ownership type. Numbers are presented
for the industry as a whole and the portion of the industry potentially subject to Phase III regulation. Overall,
2.9% of all owner-utilities, 2.3% of all plants, and 7.5% of all capacity is potentially subject to Phase III
regulation. The table further shows that most potential Phase III Electric Generators (55) are owned by investor-
owned utilities. An additional 34 potential Phase III Generators are owned by nonutilities. For all ownership
types, less than 6% of all power plants are potentially subject to Phase III regulation. However, the percentage of
capacity potentially subject to Phase III regulation is higher for State-owned power plants and cooperatives (26%
and 20%, respectively) compared to the other ownership types.
Table B4-4: Utilities, Plants, and Capacity by Ownership Type in 2001"
Ownership
Type
Investor-Owned
Federal
State
Municipal
Political
Subdivision
Cooperative
Total Utility
Nonutility6
Total
Owner-Utilities"
Total0
467
8
20
532
46
85
858
2,127
2,985
With
Potential
Phase HI
Plants
37
1
3
12
0
8
61
26
87
%With
Potential
Phase HI
Plants
7.9%
12.5%
15.0%
2.3%
0.0%
9.4%
7.1%
1.2%
2.9%
Plants
Total0
1,148
194
85
785
103
166
2,481
2,538
5,019
Potential
Phase
md
55
1
4
13
0
9
83
34
117
%
Potential
Phase HI
4.8%
0.5%
4.7%
1.7%
0.0%
5.4%
3.3%
1.4%
2.3%
Capacity (MW)
Total0
404,158
69,402
19,098
44,895
18,012
29,010
584,574
329,550
914,124
Potential
Phase
md
41,681
2,409
4,946
688
0
5,812
55,537
12,961
68,498
%
Potential
Phase IE
10.3%
3.5%
25.9%
1.5%
0.0%
20.0%
9.5%
3.9%
7.5%
a Numbers may not add up to totals due to independent rounding.
b Owner-utilities are the direct owners of generating plants. They are not necessarily the ultimate parents of the plants. Numbers
exclude utilities that engage solely in transmission and distribution.
c Information on the total number of owner-utilities is based on data from Form EIA-861 (U.S. DOE, 2001b). Information on plants
and capacity is based on data from Form EIA-860 (U.S. DOE, 2001a). These two data sources report information for non-
corresponding sets of power producers. Therefore, the total number of owner-utilities is not directly comparable to the
information on total plants or total capacity.
d The number of potential Phase III Electric Generators and capacity was sample weighted to account for survey non-respondents.
e Total nonutilities from Form EIA-860; Form EIA-861 does not provide information for nonutilities.
Source: U.S. DOE, 2001a; U.S. DOE, 2001b; U.S. EPA, 2000; U.S. EPA Analysis, 2004.
B4-3.2 Ownership Size
In developing the proposed rule, EPA conducted an analysis of small entity impacts. The small entity analysis is
conducted at the ultimate parent firm level which, for investor-owned utilities and nonutilities, is often different
from the owner-utility level. EPA estimates that the 87 owner-utilities with plants potentially subject to Phase III
regulation, presented in Table B4-4 above, are owned by 73 ultimate parent firms. Of these 73 entities, EPA
6Owner-utilities are the direct owners of generating plants. They are not necessarily the ultimate parents of
the plants.
B4-15
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
estimates that 13, or 17.8%, are small.7 The size distribution varies considerably by ownership type: none of the
potential Phase III investor-owned entities are small, compared to 75% of potential Phase III municipalities, 25%
of potential Phase III cooperatives, and 9.5% of potential Phase III nonutilities. By definition, States and the
Federal government are considered large parent entities. In general, traditional utility entities that own potential
Phase III Electric Generators are larger than other entities in the industry. Of the 817 traditional utility parent
entities in the industry, 412 entities, or 50.4%, are small. In contrast, only 21.2% of potential Phase III traditional
utility entities are small. Overall, EPA estimates that 2.7% of all small utility parent entities own plants that are
potentially subject to Phase III regulation. For nonutilities, the industry-wide number of small entities is not
available.
For a detailed discussion of the identification and size determination of parent entities, see Chapter Dl:
Regulatory Flexibility Analysis. The chapter also documents how EPA considered the economic impacts on small
entities when developing this regulation.
Table B4-5: Existing Parent Entities by Ownership Type and Size in 2001"
Ownership
Type
Investor-Owned
Federal
State
Municipal
Political
Subdivision
Cooperative
Total Utility
Nonutility0
Total
Total
Small
6
-
-
302
37
67
412
n/a
n/a
Number of Parent Entities'
Large
120
8
20
230
9
18
405
n/a
n/a
Total
126
8
20
532
46
85
817
1,718
2,535
% Small
4.8%
0.0%
0.0%
56.8%
80.4%
78.8%
50.4%
n/a
n/a
Total Number of Parent Entities That Own
Potential Phase III ElectricGenerators
Small
-
-
-
9
-
2
11
2
13
Large
28
1
3
34
-
6
41
19
60
Total
28
1
3
12
-
8
52
21
73
% Small
0.0%
0.0%
0.0%
75.0%
0.0%
25.0%
21.2%
9.5%
17.8%
% of Small
Entities That
Own
Potential
Phase HI
Electric
0.0%
0.0%
0.0%
3.0%
0.0%
3.0%
2.7%
n/a
n/a
a Numbers may not add up to totals due to independent rounding.
b The total number of parent entities that own generation utilities is based on data from Form EIA-861 (U.S. DOE, 2001b). Most of
the other industry-wide information in this profile is based on data from Form EIA-860 (U.S. DOE, 200la). Since these two forms
report data for differing sets of facilities, the information in this table is not directly comparable to the other information presented
in this profile.
c Total nonutilities from Form EIA-860; Form EIA-861 does not provide data on nonutilities.
Source: U.S. DOE, 2001a; U.S. DOE, 2001b; U.S. EPA Analysis, 2004.
Table B4-6 presents the sample-weighted number of potential Phase III Electric Generators that are owned by
small entities. The table shows that 14 of the 117 potential Phase III Electric Generators, or 12.2%, are owned by
7Small entities are defined as: (1) a small business according to the Small Business Administration (SBA) size
standards; (2) a small governmental jurisdiction that is a government of a city, county, town, school district, or
special district with a population of less than 50,000; or (3) a small organization that is a not-for-profit enterprise
that is independently owned and operated and is not dominant in its field.
B4-16
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
small entities. Ten of the 14 potential Phase III Generators owned by small entities are municipalities, two are
nonutilities, and two are rural electric cooperatives. There are no potential Phase III investor-owned utilities that
are owned by a small entity. By definition, States and the Federal government are considered large parent
entities.
Table B4-6: Potential Phase III Power Plants by Ownership Type and Size in 2001
Ownership Type
Investor-Owned
Federal
State
Municipal
Cooperative
Total Utility
Nonutility
Total
Number of Potential Phase III Facilties3
Small
0
0
0
10
2
12
2
14
Large
55
1
4
3
7
71
32
103
Total
55
1
4
13
9
83
34
117
% Small
0.0%
0.0%
0.0%
76.9%
21.2%
14.5%
6.4%
12.2%
a The number of potential Phase III Electric Generators was sample weighted to account for survey non-respondents.
Numbers may not add up to totals due to independent rounding.
Source: U.S. EPA analysis, 2004.
B4-3.3 Plant Size
EPA also analyzed the potential Phase III Electric Generators with respect to their generating capacity. The size
of a Generator is important because it partly determines its need for cooling water and its importance in meeting
electricity demand and reliability needs. Figure B4-5 shows that most potential Phase III Electric Generators have
small generating capacities. Of the 117 potential Phase III facilities, 69 facilities (59%) have a capacity of less
than 500 MW; 23 facilities (20%) have a capacity between 500 MW and 1,000 MW. Only five facilities have a
capacity of greater than 2,000 MW, one of which has capacity of 2,500MW or greater. Of the 69 facilities with
capacities less than 500 MW, 37 have a capacity of less than 100 MW, 17 have a capacity between 100 and 250
MW, and 15 have a capacity between 250 and 500 MW.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
Figure B4-5: Number of Potential Phase III Electric Generators by Plant Size in 2001a (MW)
80
70
60
50
40
30
20
10
23
11
<500
500-1,000 1,000-1,500 1,500-2,000 2,000-2,500 >=2,500
a The number of plants was sample weighted to account for survey non-respondents.
Source: U.S. DOE, 2001a; U.S. EPA, 2000.
B4-3.4 Geographic Distribution
The geographic distribution of facilities is important because a high concentration of facilities with regulatory
compliance costs could lead to impacts on a regional level. Everything else being equal, the higher the share of
plants with costs in any one region, the higher the likelihood that there may be economic and/or system reliability
impacts as a result of the regulation.
Table B4-7 shows the distribution of potential Phase III Electric Generators by NERC region. The table shows
that there are only moderate differences between the regions both in terms of the number of potential Phase III
Electric Generators and the percentage of all plants that they represent. Excluding Alaska and Hawaii, which
have no generators potentially subject to Phase III regulation, the percentage of potential Phase III Electric
Generators in each region ranges from 1% in the Western Electric Coordinating Council (WECC) and Northeast
Power Coordinating Council (NPCC) to 5% in the East Central Area Reliability Coordination Agreement
(ECAR). ECAR also has the highest absolute number of potential Phase III power plants with 22 facilities,
followed by WECC with 18 facilities.
B4-18
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
Table B4-7: Existing Plants by NERC Region in 2001
NERC Region
ASCC
ECAR
ERCOT
FRCC
fflCC
MAAC
MAIN
MAPP
NPCC
SERC
SPP
WECC
Total
Total Number of
Facilities
124
448
215
128
34
246
412
445
718
661
282
1,306
5,019
Potential Phase HI Electric Generators3
Number
-
22
8
4
-
10
6
10
11
17
11
18
117
% of Total in Region
0%
5%
4%
3%
0%
4%
2%
2%
1%
3%
4%
1%
2%
a The number of potential Phase III facilities was sample weighted to account for survey non-respondents. Numbers
may not add up to totals due to independent rounding.
Source: U.S. DOE, 2001a; U.S. EPA, 2000.
B4-3.5 Cooling Water Characteristics
The main determinants of the compliance actions potentially required of Phase III Electric Generators include (1)
the waterbody type from which they withdraw cooling water, (2) the type of cooling system they have in place in
the baseline, and (3) the design intake flow of their cooling water intake structure. Table B4-8 shows that most of
the potential Phase III Electric Generators draw water from a freshwater river or stream (87 plants or 75%). The
next most frequent waterbody types are lakes or reservoirs (19 plants or 16%) and the Great Lakes (seven plants
or 5%). The table also shows that most of the potential Phase III Electric Generators (86 plants or 74%) employ a
recirculating cooling system.8 Of the four plants that withdraw from an estuary, the most sensitive type of
waterbody, two use a recirculating system. Plants with once-through cooling water systems withdraw between
70% and 98% more water than those with recirculating systems.
8Once-through cooling systems withdraw water from the water body, run the water through condensers, and
discharge the water after a single use. Recirculating systems, on the other hand, reuse water withdrawn from the
source. These systems take new water into the system only to replenish losses from evaporation or other
processes. Recirculating systems use cooling towers or ponds to cool water before passing it through condensers
again.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities
B4: Electric Generator Profile
Table B4-8: Number of Potential Phase III Electric Generators
by Water Body Type and Cooling System Type"
Waterbody Type
Estuary/ Tidal River
Ocean
Lake/ Reservoir
Freshwater River/Stream
Great Lake
Total
Cooling System Type
No.
2
-
14
69
1
86
Recirculating
% of Total
1.8%
0.0%
12.4%
58.9%
0.9%
73.9%
Once-Through
No. % of Total
2
-
4
14
6
26
1.7%
0.0%
3.7%
11.6%
4.8%
21.8%
Combination/Other
No. % of Total
0.0%
0.0%
0.0%
5 4.3%
0.0%
5 4.3%
Total
4
-
19
87
7
117
a The number of potential Phase III facilities was sample weighted to account for survey non-respondents. Numbers may not add
up to totals due to independent rounding.
Source: U.S. DOE, 2001a; U.S. EPA, 2000.
Table B4-9 presents the distribution of Electric Generators potentially subject to Phase III regulation by water
body type and design intake flow (DIP) category. Many of the options evaluated by EPA differentiate
compliance requirements based on the facility's DIP. Table B4-9 shows that more than half of the potential Phase
III Electric Generators (66) have a DIP of less than 20 million gallons per day (MGD). Fifty-one, or 44%, of the
facilities have a design intake flow of between 20 and 50 million MGD. None of the potential Phase III Electric
Generators have a flow of 50 MGD or greater because those plants were regulated under the final Phase II rule
(promulgated in July of 2004).
Table B4-9: Number of Potential Phase III Electric Generators
by Water Body Type and Design Intake Flow Category"
Waterbody Type
Estuary/ Tidal River
Ocean
Lake/ Reservoir
Freshwater River/Stream
Great Lake
Total
Design
< 20 MGD
No.
4
-
12
47
2
66
% of Total
3.5%
0.0%
10.7%
39.9%
2.1%
56.2%
20-
No.
-
-
6
41
4
51
Intake Flow"
50 MGD
% of Total
0.0%
0.0%
5.4%
34.9%
3.5%
43.8%
50+ MGD
No. % of Total
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
Total
4
-
19
87
7
117
a The number of potential Phase III Electric Generators was sample weighted to account for survey non-respondents. Numbers may
not add up to totals due to independent rounding.
b The three design intake flow (DIF) categories are defined as follows: "< 20 MGD" includes facilities that with a DIF of at least 2
MGD but less than 20 MGD; "20 - 50 MGD" includes facilities with a DIF of at least 20 MGD but less than 50 MGD; "50+
MGD" includes facilities with a DIF of at least 50 MGD.
Source: U.S. DOE, 2001a; U.S. EPA, 2000.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
B4-4 INDUSTRY OUTLOOK
This section discusses industry trends that are currently affecting the structure of the electric power industry and
may therefore affect the magnitude of impacts from the Proposed Section 316(b) Rule for Phase III Facilities.
The most important change in the electric power industry is deregulation - the transition from a highly regulated
monopolistic industry to a less regulated, more competitive industry. Section B4-4.1 discusses the current status
of deregulation. Section B4-4.2 presents a summary of forecasts from the Annual Energy Outlook 2003.
B4-4.1 Current Status of Industry Deregulation
The electric power industry is evolving from a highly regulated, monopolistic industry with traditionally-
structured electric utilities to a less regulated, more competitive industry.9 The industry has traditionally been
regulated based on the premise that the supply of electricity is a natural monopoly, where a single supplier could
provide electric services at a lower total cost than could be provided by several competing suppliers. Today, the
relationship between electricity consumers and suppliers is undergoing substantial change. Some States have
implemented plans that will change the procurement and pricing of electricity significantly, and many more plan
to do so during the first few years of the 21st century (Beamon, 1998).
a. Key changes in the industry's structure
Industry deregulation already has changed and continues to fundamentally change the structure of the electric
power industry. Some of the key changes include:
*• Provision of services: Under the traditional regulatory system, the generation, transmission, and
distribution of electric power were handled by vertically-integrated utilities. Since the mid-1990s,
Federal and State policies have led to increased competition in the generation sector of the industry.
Increased competition has resulted in a separation of power generation, transmission, and retail
distribution services. Utilities that provide transmission and distribution services will continue to be
regulated and will be required to divest of their generation assets. Entities that generate electricity will no
longer be subject to geographic or rate regulation.
*• Relationship between electricity providers and consumers: Under traditional regulation, utilities were
granted a geographic franchise area and provided electric service to all customers in that area at a rate
approved by the regulatory commission. A consumer's electric supply choice was limited to the utility
franchised to serve their area. Similarly, electricity suppliers were not free to pursue customers outside
their designated service territories. Although most consumers will continue to receive power through their
local distribution company (LDC), retail competition will allow them to select the company that generates
the electricity they purchase.
*• Electricity prices: Under the traditional system, State and Federal authorities regulated all aspects of
utilities' business operations, including their prices. Electricity prices were determined administratively
for each utility, based on the average cost of producing and delivering power to customers and a
reasonable rate of return. As a result of deregulation, competitive market forces will set generation prices.
Buyers and sellers of power will negotiate through power pools or one-on-one to set the price of
electricity. As in all competitive markets, prices will reflect the interaction of supply and demand for
electricity. During most time periods, the price of electricity will be set by the generating unit with the
9Several key pieces of Federal legislation have made the changes in the industry's structure possible. The
Public Utility Regulatory Policies Act (PURPA) of 1978 opened up competition in the generation market
by creating a class of nonutility electricity-generating companies referred to as "qualifying facilities." The
Energy Policy Act (EPACT) of 1992 removed constraints on ownership of electric generation facilities, and
encouraged increased competition in the wholesale electric power business (Beamon, 1998).
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
highest operating costs needed to meet spot market generation demand (i.e., the "marginal cost" of
production) (Beamon, 1998).
b. New industry participants
The Energy Policy Act of 1992 (EPACT) provides for open access to transmission systems, to allow nonutility
generators to enter the wholesale market more easily. In response to these requirements, utilities are proposing to
form Independent System Operators (ISOs) to operate the transmission grid, regional transmission groups, and
open access same-time information systems (OASIS) to inform competitors of available capacity on their
transmission systems. The advent of open transmission access has fostered the development of power
marketers and power brokers as new participants in the electric power industry. Power marketers buy and
sell wholesale electricity and fall under the jurisdiction of the Federal Energy Regulatory Commission (FERC),
since they take ownership of electricity and are engaged in interstate trade. Power marketers generally do not
own generation or transmission facilities or sell power to retail customers. A growing number of power marketers
have filed with the FERC and have had rates approved. Power brokers, on the other hand, arrange the sale and
purchase of electric energy, transmission, and other services between buyers and sellers, but do not take title to
any of the power sold.
c. State activities
Many States have taken steps to promote competition in their electricity markets. The status of these efforts
varies across States. Some States are just beginning to study what a competitive electricity market might mean;
others are beginning pilot programs; still others have designed restructured electricity markets and passed
enabling legislation. However, the difficult transition to a competitive electricity market in California,
characterized by price spikes and rolling black-outs in 2000, has affected restructuring in that State and several
others. Since those difficulties, five States (Arkansas, Montana, Nevada, New Mexico, and Oklahoma) have
delayed the restructuring process pending further review of the issues while California has suspended direct retail
access. As of February 2003, eighteen States had operating competitive retail electricity markets. Oregon did not
have customers participating in the retail program, but nonresidential customers were allowed access (U.S. DOE,
2003b).
Even in States where consumer choice is available, important aspects of implementation may still be undecided.
Key aspects of implementing restructuring include treatment of Stranded costs, pricing of transmission and
distribution services, and the design market structures required to ensure that the benefits of competition flow to
all consumers (Beamon, 1998).
B4-4.2 Energy Market Model Forecasts
This section discusses forecasts of electric energy supply, demand, and prices based on data and modeling by the
Energy Information Administration (EIA) and presented in the Annual Energy Outlook 2003 (U.S. DOE, 2003c).
The EIA models future market conditions through the year 2025, based on a range of assumptions regarding
overall economic growth, global fuel prices, and legislation and regulations affecting energy markets. The
projections are based on the results from EIA's National Energy Modeling System (NEMS) using assumptions
reflecting economic conditions as of November 2002. EPA used ICF Consulting's Integrated Planning Model
(IPM®), an integrated energy market model, to conduct the economic analyses supporting the Phase III
rulemaking effort (see appendix to Chapter B5: Economic Impact Analysis for Electric Generators}. The IPM
generates baseline and post compliance estimates of each of the measures discussed below. For purposes of
comparison, this section presents a discussion of EIA's reference case results.
a. Electricity demand
The AEO2003 projects electricity demand to grow by approximately 1.8% annually between 2000 and 2025.
This growth is driven by an estimated 2.2% annual increase in the demand for electricity from the commercial
sector associated with a projected annual growth in commercial floor space of 1.6%. EIA expects electricity
demand from the industrial sector to increase by 1.7% annually, largely in response to an increase in industrial
B4-22
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
output of 2.6% per year. Residential demand is expected to increase by 1.6% annually over the same forecast
period, due mostly to an increase in the number of U.S. households of 1.0% per year between 2000 and 2025.
b. Capacity retirements
The AEO2003 projects total fossil fuel-fired generation capacity to decline due to retirements. EIA forecasts that
total fossil-steam capacity will decrease by an estimated 12% (or 78 gigawatts) between 2000 and 2025, including
56 gigawatts of oil and natural gas fired steam capacity. EIA estimates total nuclear capacity to decline by an
estimated 3% (or 3 gigawatts) between 2000 and 2025 due to nuclear power plant retirement. These closures are
primarily assumed to be the result of the high costs of maintaining the performance of nuclear units compared
with the cost of constructing the least cost alternative.
c. Capacity additions
Additional generation capacity will be needed to meet the estimated growth in electricity demand and offset the
retirement of existing capacity. EIA expects utilities to employ other options such as life extensions and
repowering, power imports from Canada and Mexico, and purchases from cogenerators before building new
capacity. EIA forecasts that utilities will choose technologies for new generation capacity that seek to minimize
cost while meeting environmental and emission constraints. Of the new capacity forecasted to come on-line
between 2000 and 2025, approximately 80% is projected to be combined-cycle technology or combustion turbine
technology, including distributed generation capacity. This additional capacity is expected to be fueled by natural
gas and to supply primarily peak and intermediate capacity. Approximately 17% of the additional capacity
forecasted to come on line between 2000 and 2025 is expected to be provided by new coal-fired plants, while the
remaining 3% is forecasted to come from renewable technologies.
d. Electricity generation
The AEO2003 projects increased electricity generation from both natural gas and coal-fired plants to meet
growing demand and to offset lost capacity due to plant retirements. The forecast projects that coal-fired plants
will remain the largest source of generation throughout the forecast period. Although coal-fired generation is
predicted to increase steadily between 2000 and 2025, its share of total generation is expected to decrease from
53% to an estimated 50%. This decrease in the share of coal generation is in favor of less capital-intensive and
more efficient natural gas generation technologies. The share of total generation associated with gas-fired
technologies is projected to increase from approximately 14% in 2000 to an estimated 27% in 2025, replacing
nuclear power as the second largest source of electricity generation. Generation from oil-fired plants is expected
to remain fairly small throughout the forecast period.
e. Electricity prices
EIA expects the average real price of electricity, as well as the price paid by customers in each sector (residential,
commercial, and industrial), to decrease between 2000 and 2008 as a result of competition among electricity
suppliers, excess generating capacity, and a decline in coal prices. However, by 2025, EIA predicts that the
average real price of electricity will return to 2000 levels as a result of rising natural gas costs and electricity
demand growth.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
GLOSSARY
Definitions are adapted from the following sources:
U.S. Department of Energy's Electric Power Industry Overview.
At: http://www.eia.doe.gov/cneaf/electricity/page/prim2/toc2.html
U.S. Department of Energy's International Energy Annual 2002 - Glossary.
At: http://www.eia.doe.gov/emeu/iea/glossary.html#W
U.S. Department of Energy's Electric Power Annual Volume I - Glossary of Electricity Terms.
At: http://www.eia.doe.gov/cneaf/electricity/epavl/glossary.html
Base Load: A baseload generating unit is normally used to satisfy all or part of the minimum or base load of the
system and, as a consequence, produces electricity at an essentially constant rate and runs continuously. Baseload
units are generally the newest, largest, and most efficient of the three types of units (i.e., base load, intermediate
load, and peak load units).
Combined-Cycle Unit: An electric generating technology in which electricity is produced from otherwise lost
waste heat exiting from one or more gas (combustion) turbines. The exiting heat is routed to a conventional
boiler or to heat recovery steam generator for utilization by a steam turbine in the production of electricity. This
process increases the efficiency of the electric generating unit.
Distribution: The delivery of electricity to retail customers (including homes, businesses, etc.).
Electricity Available to Consumers: Power available for sale to customers. Approximately 8% to 9% of net
generation is lost during the transmission and distribution process.
Energy Policy Act (EPACT): In 1992 the EPACT removed constraints on ownership of electric generation
facilities and encouraged increased competition in the wholesale electric power business.
Gas Turbine: A gas turbine typically consisting of an axial-flow air compressor and one or more combustion
chambers, where liquid or gaseous fuel is burned and the hot gases are passed to the turbine. The hot gases
expand to drive the generator and are then used to run the compressor.
Generation: The process of producing electric energy by transforming other forms of energy. Generation is
also the amount of electric energy produced, expressed in watthours (Wh).
Gross Generation: The total amount of electric energy produced by the generating units at a generating station
or stations, measured at the generator terminals.
Hydroelectric Generating Unit: A unit in which the turbine generator is driven by falling water or natural
river current.
Intermediate load: Intermediate-load generating units meet system requirements that are greater than base load
but less than peak load. Intermediate-load units are used during the transition between base load and peak load
requirements.
Internal Combustion Engine: An internal combustion engine has one or more cylinders in which the process
of combustion takes place, converting energy released from the rapid burning of a fuel-air mixture into
mechanical energy. Diesel or gas-fired engines are the principal fuel types used in these generators.
Kilowatthours (kWh): One thousand watthours (Wh)
B4-24
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
Megawatt (MW): One million watts.
Nameplate Capacity: The amount of electric power delivered or required for which a generator, turbine,
transformer, transmission circuit, station, or system is rated by the manufacturer. Nameplate capacity is expressed
in watts or megawatts (MW).
Net Capability: The steady hourly output that the generating unit is expected to supply to the system load, as
demonstrated by test procedures. The capability of the generating unit in the summer is generally less than in the
winter due to high ambient-air and cooling water temperatures, which cause generating units to be less efficient.
The nameplate capacity of a generating unit is generally greater than its net capability.
Net Generation: Gross generation minus plant use from all plants owned by the same utility.
Nonutility: A corporation, person, agency, authority, or other legal entity or instrumentality that owns electric
generating capacity and is not an electric utility. Nonutility power producers include qualifying cogenerators,
qualifying small power producers, and other nonutility generators (including independent power producers)
without a designated franchised service area that do not file forms listed in the Code of Federal Regulations, Title
18, Part 141.
Other Prime Movers: Methods of power generation other than steam turbines, combined-cycle units,
gas combustion turbines, internal combustion engines, and hydroelectric generating units Other
prime movers include: geothermal, solar, wind, and biomass.
Peak load: A peakload generating unit, normally the least efficient of the three unit types (i.e., base load,
intermediate load, and peak load units), is used to meet requirements during the periods of greatest, or peak, load
on the system.
Power Marketers: Business entities engaged in buying, selling, and marketing electricity. Power marketers do
not usually own generating or transmission facilities. Power marketers, as opposed to brokers, take ownership of
the electricity and are involved in interstate trade. These entities file with the Federal Energy Regulatory
Commission for status as a power marketer.
Power Brokers: An entity that arranges the sale and purchase of electric energy, transmission, and other
services between buyers and sellers, but does not take title to any of the power sold.
Prime Movers: The engine, turbine, water wheel, or similar machine that drives an electric generator. Also, for
reporting purposes, a device that directly converts energy to electricity, e.g., photovoltaic, solar, and fuel cell(s).
Public Utility Regulatory Policies Act (PURPA): In 1978 PURPA opened up competition in the electricity
generation market by creating a class of nonutility electricity-generating companies referred to as "qualifying
facilities."
Reliability: Electric system reliability has two components: adequacy and security. Adequacy is the ability of
the electric system to supply customers at all times, taking into account scheduled and unscheduled outages of
system facilities. Security is the ability of the electric system to withstand sudden disturbances, such as electric
short circuits or unanticipated loss of system facilities.
Steam Turbine: A generating unit in which the prime mover is a steam turbine. The turbines convert thermal
energy (steam or hot water) produced by generators or boilers to mechanical energy or shaft torque. This
mechanical energy is used to power electric generators, including combined-cycle electric generating units, that
convert the mechanical energy to electricity.
Stranded Costs: Prudent costs incurred by a utility that may not be recoverable under market based retail
competition. Examples are undepreciated generating facilities, deferred costs, and long-term contract costs.
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
Transmission: The movement or transfer of electric energy over an interconnected group of lines and
associated equipment between points of supply and points at which it is transformed for delivery to consumers, or
is delivered to other electric systems. Transmission is considered to end when the energy is transformed for
distribution to the consumer.
Utility: A corporation, person, agency, authority, or other legal entity or instrumentality that owns and/or
operates facilities within the United States, its territories, or Puerto Rico for the generation, transmission,
distribution, or sale of electric energy primarily for use by the public and files forms listed in the Code of Federal
Regulations, Title 18, Part 141. Facilities that qualify as cogenerators or small power producers under the Public
Utility Regulatory Policies Act (PURPA) are not considered electric utilities.
Watt: The electrical unit of power. The rate of energy transfer equivalent to one ampere flowing under the
pressure of one volt at unity power factor.
Watthour (Wh): An electrical energy unit of measure equal to one watt of power supplied to, or taken from, an
electric circuit steadily for one hour.
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REFERENCES
Beamon, J. Alan. 1998. Competitive Electricity Prices: An Update.
At: http://www.eia.doe.gov/oiaf/archive/issues98/cep.html.
Joskow, Paul L. 1997. "Restructuring, Competition and Regulatory Reform in the U.S. Electricity Sector,"
Journal of Economic Perspectives, Volume 11, Number 3 - Summer 1997 - Pages 119-138.
North American Electric Reliability Council (NERC). At: http://www.nerc.com/regional/. Accessed May 20,
2004.
U.S. Department of Energy (U.S. DOE). 2004. Energy Information Administration (EIA). Electric Power
Industry Overview. At: http://www.eia.doe.gov/cneaf/electricity/page/prim2/toc2.html. Accessed March 30,
2004.
U.S. Department of Energy (U.S. DOE). 2003a. Energy Information Administration (EIA). Electric Power
Annual 2002. At: http://www.eia.doe.gov/cneaf/electricity/epa/epa.pdf
U.S. Department of Energy (U.S. DOE). 2003b. Energy Information Administration (EIA). Status of State
Electric Industry Restructuring Activity as of February 2003.
At: http://www.eia.doe.gov/cneaf/electricity/chg_str/regmap.html.
U.S. Department of Energy (U.S. DOE). 2003c. Energy Information Administration (EIA). Annual Energy
Outlook2003. At: http://www.eia.doe.gov/oiaf/aeo/pdf/0383(2003).pdf
U.S. Department of Energy (U.S. DOE). 2001a. Energy Information Administration (EIA). Form EIA-860
(2001). Annual Electric Generator Report.
U.S. Department of Energy (U.S. DOE). 200 Ib. Energy Information Administration (EIA). Form EIA-861
(2001). Annual Electric Utility Data.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Section 316(b) Industry Survey. Detailed Industry
Questionnaire: Phase II Cooling Water Intake Structures and Industry Short Technical Questionnaire: Phase II
Cooling Water Intake Structures, January, 2000 (OMB Control Number 2040-0213). Industry Screener
Questionnaire: Phase I Cooling Water Intake Structures, January, 1999 (OMB Control Number 2040-0203).
U.S. Geological Survey (USGS). 2004. Estimated Use of Water in the United States in 2000.
At: http://water.usgs.gov/watuse/. Accessed March 31, 2004.
B4-27
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Phase III Existing Facilities B4: Electric Generator Profile
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B4-28
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B5: Impact Analysis for Generators
Chapter B5: Economic Impact Analysis for
Electric Generators
INTRODUCTION „ „
CHAPTER CONTENTS
rr, , • -.in /TATT-\ i- i -1-j- .ti i u B5-1 Estimation of Private Compliance Costs B5-1
The design intake flow (DIP) applicability thresholds F
for national categorical requirements for the three
proposed options for existing facilities are 50 MOD,
100 MOD, and 200 MOD, respectively. Since
Electric Generators with a DIP of 50 MGD or greater
were covered by the final Phase II rule, no Electric
Generator would be subject to the national categorical
requirements under any of the three proposed options;
B5-1.1 Methodology B5-1
B5-1.2 Summary Cost Statistics B5-4
B5-2 Summary of Electricity Market Model
Analysis B5-7
B5-3 Additional Impact Analyses B5-7
B5-3.1 Cost-to-Revenue Analysis B5-8
B5-3.2 Cost per Household Analysis B5-9
B5-3.3 Electricity Price Analysis B5-11
B5-4 Uncertainties and Limitations B5-13
References B5-15
Appendix 1 to Chapter B5 B5A-1
therefore there would be no compliance costs and no
direct impacts on any Electric Generators, nor any References B5-15
indirect impacts on the Electric Generating Industry
as a result of the proposed rule. However, Electric
Generators would be regulated and incur compliance
costs under several other options that were analyzed but ultimately not proposed by EPA. This chapter assesses
the expected economic effect on Electric Generators of these other options. This chapter (1) describes the
methodology used to estimate the private cost to Electric Generators potentially subject to Phase III regulation
and presents summary cost statistics; (2) summarizes EPA's electricity market model analysis for Electric
Generators potentially subject to Phase III regulation and the electric power industry as a whole; and (3) presents
an additional assessment of the magnitude of compliance costs to Electric Generators, including a cost-to-revenue
analysis at the facility and firm levels, an analysis of compliance costs per household at the North American
Electric Reliability Council (NERC) level, and an analysis of compliance costs relative to electricity price
projections, also at the NERC level. The appendix to this chapter presents the detailed methodology and results
of EPA's electricity market model analysis.
B5-1 ESTIMATION OF PRIVATE COMPLIANCE COSTS
This section summarizes EPA's analysis of private compliance costs that would be incurred by Electric
Generators under various regulatory options that were considered but not proposed by EPA. The first subsection
presents methodological components of estimating private costs that are unique to Electric Generators. For
information on cost categories and cost methodologies that are common to all industry segments analyzed in
developing the proposed requirements for Phase III existing facilities, please see Chapter Bl: Summary of Cost
Categories and Key Analysis Elements for Existing Facilities. The second subsection presents summary cost
statistics for each analyzed option, including facility counts and compliance costs by cost category.
B5-1.1 Methodology
a. Development of Present Value and Annualized Costs
The estimation of compliance costs incurred by Electric Generators potentially subject to Phase III regulation
starts with facility-level compliance cost estimates for each model facility developed in EPA's engineering
analysis. EPA included the following compliance cost categories in this analysis: capital cost, annual operating
and maintenance cost, administrative cost, and the loss of business income from potential shutdown of facilities
during installation of compliance equipment. Of these cost categories, only operating and maintenance costs and
certain administrative costs recur annually. The remaining costs occur only once at the beginning of compliance
or in multi-year intervals over the period of the compliance analysis. Some of the impact analyses require
B5-1
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B5: Impact Analysis for Generators
combining the annually recurring and non-recurring costs into a single, annual equivalent value. For combining
the annually recurring and non-recurring costs in this analysis, EPA calculated the annual equivalent cost of the
non-recurring cost categories and added these annualized costs to the annually recurring operating and
maintenance cost.
To derive the constant annual value of the non-annual costs, EPA calculated the present value as of the first year
of compliance of each facility (for this analysis, assumed to be 2010 to 2014) and then annualized it, using a 7.0%
pre-tax discount rate in both steps. The costs of compliance equipment were annualized over 10 years; initial
permitting cost and the income loss from installation shutdown were annualized over 30 years; and repermitting
costs were annualized over 5 years. EPA then added these annualized costs to annual O&M and administrative
costs to derive each facility's total annual pre-tax cost of complying with each evaluated option.
For more information on the compliance cost components developed for this analysis and EPA's methodology of
discounting, see Chapter B1 and the Technical Development Document for the Proposed Section 316(b) Rule for
Phase III Facilities (TDD; U.S. EPA, 2004b).
b. Consideration of taxes
For understanding the economic impact of a regulation on facilities, the costs incurred by complying facilities are
adjusted for taxes and calculated on an after-tax basis. The tax treatment of compliance outlays and income
effects shifts part of these costs to the tax-paying public and reduces the actual cost to private, tax-paying
businesses. For this reason, the after-tax costs of compliance are a more meaningful measure of the financial
burden on complying facilities than the pre-tax costs. In analyzing and reporting the impact of compliance costs
on private facilities, annualized costs are therefore calculated on an after-tax basis.
EPA used combined Federal and State tax rates, specific to the State of each facility, to estimate the annual after-
tax cost of compliance. The total effective tax rate was calculated as follows:
Total Tax Rate = State Tax Rate + Federal Tax Rate - (State Tax Rate * Federal Tax Rate)
The amount by which a facility's annual tax liability would be reduced is the annualized compliance cost of the
rule multiplied by the total tax rate.1 A reduction in tax liability was only applied to privately-owned facilities
subject to income taxes, i.e., costs incurred by government-owned facilities and cooperatives are not adjusted for
taxes, since these facilities are not subject to income taxes.
c. Monetary valuation of installation downtime
Installation of some of the compliance technologies considered for potential Phase III Electric Generators would
require a one-time, temporary downtime of the facility's cooling water intake system. During the downtime
period, the facility's cooling-water dependent operations would most likely be halted, with a potential loss of
revenue and income from those operations. Accordingly, a key element of the cost to facilities in complying with
the proposed standards for Phase III existing facilities is the loss in income from installation downtime. In the
facility impact analyses for Electric Generators, this loss in income is accounted for as a loss in revenue offset by
a reduction in variable costs in the affected business operations.
For the Electric Generating industry, EPA estimated facility-specific baseline revenue losses using 2008 revenue
projections from the Integrated Planning Model (IPM®; U.S. EPA, 2002; U.S. EPA, 2003). IPM® revenues
consist of energy revenues and capacity revenues (see discussion of the IPM® in the appendix to this chapter).
One-time losses due to installation downtime were calculated by dividing each facility's annual revenue
1 This calculation is a conservative approximation of the actual tax effect of the compliance costs. For capital costs, it assumes that
the total annualized cost, which includes imputed interest and principal charge components, is subject to a tax benefit. In effect, the
schedule of principal charges over time in the annualized cost value is treated, for tax purposes, as though it were the depreciation schedule
over time. In fact, the actual tax depreciation schedule that would be available to a company would be accelerated in comparison to the
principal charge schedule embedded in the annualized cost calculation. As a result, explicit accounting for the deprecation schedule would
yield a slightly higher present value of tax benefits than is reflected in the analysis presented here.
B5-2
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B5: Impact Analysis for Generators
projections by 52 weeks and multiplying this value by the estimated average downtime (in weeks) of the facility's
compliance technology.
EPA also used IPM® estimates to calculate avoided variable production costs during the downtime, again using
facility-specific 2008 projections from the IPM®. Variable production costs include both fuel and other variable
operating and maintenance costs. Similar to revenues, each facility's annual variable production costs were
divided by 52 weeks and multiplied by the facility's estimated average downtime (in weeks).
The average cost of the technology installation downtime is the revenue loss during the downtime less the
variable expenses that would normally be incurred during that period. The following formulas were used to
calculate the net loss due to downtime for electric generators:
Cost of Installation Downtime = Revenue Loss - Variable Production Costs
where
Variable Production Cost = Fuel Cost + Variable Operating/Maintenance Cost
This approach may overstate the cost of the installation downtime because it is based on average annual revenues
and average variable production costs. If downtime is scheduled during off-peak times, the loss in revenues could
be smaller as a result of lower electricity sales and electricity prices.
d. Converting monetary values to current year dollar values
The various economic information used in the cost and impact analyses for potential Phase III Electric Generators
were initially estimated in dollars of different years. To ensure consistent analyses and to present the estimated
cost of regulatory compliance in approximately current values, EPA adjusted all dollar values to constant dollars
of the year 2003 (average or mid-year, depending on availability) using an appropriate inflation adjustment index.
For adjusting compliance costs, EPA used the Construction Cost Index fCCI) published by the Engineering
News-Record (ENR, 2004; see Chapter Bl for index values used in this analysis).
The economic analysis for Electric Generators also uses revenue, cost, and electricity price data from the IPM®
and electricity price data from the Annual Energy Outlook 2003 (U.S. DOE, 2003) and the Energy Information
Administration's Form EIA-861 (U.S. DOE, 2001). These values were adjusted to year 2003 values using the
Commodity Producer Price Index (PPI) for Industrial Electric Power (U.S. DOL, 2004). Table B5-1 below
presents the PPI values used in this analysis.
Table B5-1: PPI
Year
1997
1998
1999
2000
2001
2002
2003
Series for Industrial
Value
130.8
130.0
128.9
131.5
141.1
139.9
145.8
Electric Power
% Change
-0.6%
-0.8%
2.0%
7.3%
-0.9%
4.2%
Source: U.S. DOL, 2004.
B5-3
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B5: Impact Analysis for Generators
B5-1.2 Summary Cost Statistics
a. Number of facilities with regulatory requirements
In conducting the economic impact analyses for Electric Generators, EPA first eliminated from the analysis those
facilities estimated to be in severe financial distress independent of Phase III regulation. EPA judges these
facilities, which are referred to as "baseline closures," to be at substantial risk of financial failure regardless of any
additional financial burden that might result from the proposed rule or any of the other evaluated options. EPA
identified three of the 117 potentially regulated Electric Generators as baseline closures. The identification of
baseline closures is based on EPA's IPM® analyses. The IPM® considers a generator as a closure if the net
present value of future operation is negative (see the appendix to this chapter).
After setting aside baseline closures, EPA determined which facilities would be subject to the national categorical
requirements under each evaluated option. Facilities that do not meet the design intake flow (DIF)/source
waterbody threshold for an option would be subject to permitting based on best professional judgment (BPJ).
These facilities do not incur incremental costs under this rule and are therefore excluded from EPA's cost and
economic impact analyses.
Table B5-2 below presents, for each evaluated option, the DIP applicability threshold, the number of Electric
Generators potentially subject to Phase III regulation, the number of baseline closures, the number of Electric
Generators subject to best professional judgment, and, by DIP Category, the number of Electric Generators
subject to the national requirements.
Table B5-2: Phase III Electric Generator Counts for Evaluated Options
50 MGD All
(proposed)
200 MGD All
(proposed)
100 MGD Cert.
(proposed)3
Option 3
Option 4b
Option 2
Option 1
Option 6
DIP
Applicability
Threshold
50 MGD
200 MGD
100 MGD (C)
BPJ (0)
20 MGD
20 MGD (C)
50 MGD (O)
20 MGD
20 MGD
2 MGD
Potentially
Subject to
Regulation
117
117
117
117
117
117
117
117
Baseline
Closures
3
3
3
3
3
3
3
3
Subject to
Best
Professional
Judgment
114
114
114
63
110
63
63
-
Subject to National Requirements
DIP Category
2-20 MGD 20-50 MGD 50+ MGD
-
-
-
51 - 51
4 - 4
51 - 51
51 - 51
114 63 51
a The applicability threshold for the "100 MGD for Certain Waterbodies" option is 100 MGD for facilities withdrawing from certain
waterbodies (estuaries/tidal rivers and oceans) and the Great Lakes. Facilities withdrawing from other waterbodies (freshwater
rivers, and lakes/reservoirs) are subject to best professional judgment.
b The applicability threshold for Option 4 is 20 MGD for facilities withdrawing from certain waterbodies (estuaries/tidal rivers and
oceans) and the Great Lakes and 50 MGD for facilities withdrawing from other waterbodies (freshwater rivers, and
lakes/reservoirs).
Source: U.S. EPA, 2000.
B5-4
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B5: Impact Analysis for Generators
b. Distribution of Electric Generators by NERC region and compliance year
Table B5-3 presents the distribution of the existing Electric Generators potentially subject to Phase III regulation
(excluding baseline closures) by North American Electric Reliability Council (NERC) region and compliance
year.2 The NERC regions presented in the table are:
•> ASCC - Alaska
*• ECAR - East Central Area Reliability Coordination Agreement
*• ERCOT - Electric Reliability Council of Texas
*• FRCC - Florida Reliability Coordinating Council
*• HI - Hawaii
*• MAAC - Mid-Atlantic Area Council
*• MAIN - Mid-America Interconnect Network
*• MAPP - Mid-Continent Area Power Pool
*• NPCC - Northeast Power Coordinating Council
*• SERC - Southeastern Electric Reliability Council
*• SPP - Southwest Power Pool
*• WECC - Western Electricity Coordinating Council
Table B5-3: Weighted Number of Phase III Electric Generating Facilities
by NERC Region and Compliance Year"
NERC Region
ASCC
ECAR
ERCOT
FRCC
HI
MAAC
MAIN
MAPP
NPCC
SERC
SPP
WECC
Total
2010
-
4
2
4
-
3
-
1
3
10
1
6
35
2011
-
2
-
-
-
4
1
1
1
2
2
2
15
2012
-
4
2
-
-
1
1
4
1
-
4
4
22
2013
-
4
3
-
-
-
3
3
2
-
3
3
21
2014
-
7
1
-
-
1
1
1
3
3
1
1
20
Total
-
22
8
4
-
10
6
10
11
16
11
16
114
a Note that compliance years were estimated for this analysis. Actual compliance years might be different than stated in this
table. Numbers only include facilities estimated to operate in the baseline.
Source: U.S. EPA Analysis, 2004.
c. Summary of compliance requirements
Table B5-4 shows estimated compliance requirements for each evaluated option, based on the performance
standard each Electric Generator would need to meet (depending on each Generator's waterbody type, design
intake flow, capacity utilization, and annual intake flow as a percent of source waterbody mean annual flow) and
its baseline technologies in-place.
2 For a detailed discussion of the NERC regions, see the appendix to this chapter. For a description of how EPA determined
compliance years, see Chapter Bl, Section B 1-2.1 (Compliance Schedule).
B5-5
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B5: Impact Analysis for Generators
Table B5-4: Number of Electric Generators by Compliance Requirement
Facility Compliance Requirement
Total Generators Potentially Subject to
Regulation (excluding baseline closures)
Facilities Subject to Best Professional Judgment
Facilities Subject to National Categorical
Requirements
No compliance requirement1
Impingement controls only
Impingement and entrainment controls
Proposed
Options
114
114
-
-
-
-
Option 3
114
63
51
39
n
-
Option 4
114
110
4
2
-
2
Option 2
114
63
51
38
n
2
Option 1
114
63
51
36
10
5
Option 6
114
-
114
94
14
6
a These facilities meet compliance requirements in the baseline and thus would require no action to comply with the regulation.
Source: U.S. EPA Analysis, 2004.
d. Summary of estimated private compliance costs
Table B5-5 below presents, for each evaluated option, the annualized pre-tax and after-tax compliance costs
estimated to be incurred by Electric Generators subject to the national categorical requirements.
Table B5-5: Private Compliance Costs for Electric Generators by Cost (annualized, 2003$)
Number of
Facilities
Subject to
National
Require-
ments
One-Time Costs
Capital Down-
Technology time
Initial Permit Pilot
Application Study
Recurring Costs
Monitoring,
«-voT»,r Record Permit
O&M ,, . „ _ ,
Keeping & Renewal
Reporting
Total
Annualized
Costs
Pre-Tax Compliance Costs
Proposed
Options
Option 3
Option 4
Option 2
Option 1
Option 6
-
51
4
51
51
114
SO
$503,000
$168,000
$552,000
$608,000
$687,000
SO
$0
$72,000
$72,000
$134,000
$151,000
SO
$479,000
$250,000
$609,000
$625,000
$994,000
SO
$0
$0
$0
$0
$0
so
$318,000
$70,000
$354,000
$419,000
$459,000
SO
$328,000
$229,000
$492,000
$625,000
$872,000
SO
$397,000
$183,000
$483,000
$490,000
$801,000
SO
$2,025,000
$972,000
$2,562,000
$2,901,000
$3,963,000
After-Tax Compliance Costs
Proposed
Options
Option 3
Option 4
Option 2
Option 1
Option 6
-
51
4
51
51
114
SO
$393,000
$168,000
$443,000
$497,000
$558,000
SO
$0
$72,000
$72,000
$120,000
$136,000
SO
$411,000
$219,000
$510,000
$521,000
$791,000
SO
$0
$0
$0
$0
$0
so
$247,000
$70,000
$282,000
$328,000
$358,000
SO
$283,000
$203,000
$420,000
$519,000
$696,000
SO
$338,000
$156,000
$399,000
$403,000
$630,000
SO
$1,673,000
$888,000
$2,127,000
$2,388,000
$3,169,000
Source: U.S. EPA Analysis, 2004.
B5-6
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B5: Impact Analysis for Generators
B5-2 SUMMARY OF ELECTRICITY MARKET MODEL ANALYSIS
EPA used an electricity market model, the IPM®, to assess potential economic and operational impacts of this
proposal. As noted above, the three proposed options would not apply national requirements to any facilities in
the Electric Generators segment; thus, the three proposed options have no effects to be considered in an IPM®
analysis. Since conducting electricity market model analyses is time- and resource-intensive, EPA only analyzed
one of the other options evaluated for this proposal. EPA chose to conduct an IPM® analysis of the most inclusive
and most costly option, Option 6, to identify the upper bound of potential effects under any of the evaluated
options.
EPA conducted impact analyses at the market level (by NERC region) and for facilities subject to the national
requirements under Option 6. Analyzed characteristics include changes in electricity prices, capacity, generation,
revenue, cost of generation, and income. These changes were identified by comparing outcomes in the post-
compliance scenario ("Policy Case") with outcomes in the base case. Because of the interrelationships between
the final Phase II rule (promulgated in July 2004) and Phase III regulation, EPA developed two base cases for this
analysis:
*• The first base case (referred to as "Base Case 1") models operational characteristics of the electricity
market in the absence of any section 316(b) regulation (i.e., pre-Phase II regulation);
*• The second base case (referred to as "Base Case 2") models operational characteristics of the electricity
market including compliance costs of the final Phase II rule (but pre-Phase III regulation).
For the market-level analysis, EPA compared the Policy Case (after the implementation of Phase III compliance
requirements) with Base Case 2 (including Phase II compliance costs). This comparison allows EPA to identify
the incremental market-level effects of Phase III regulation, beyond the effects of Phase II regulation. In contrast,
for the analysis of facilities subject to Phase III regulation, EPA compared the Policy Case with Base Case 1
(excluding Phase II compliance costs). This comparison was done to determine the "true" effect of Phase III
regulation, net of any temporary effects that might be introduced as the result of the staggering of Phases II and
III. Because Phase II facilities have to comply before Phase III facilities are projected to comply (on average by
two years), Phase III facilities may experience a short-term competitive advantage during the time when Phase II
facilities incur the new incremental section 316(b) compliance costs while Phase III facilities do not. The post-
compliance economic performance of Phase III facilities should not be compared to this potential short-term
improvement in operating characteristics but to their steady-state, pre-section 316(b) regulation economic
condition.
EPA used the most current version of the IPM®, V.2.1.6 released in 2003, for the analysis in developing this
proposal.3 The 2003 version of the IPM® has been updated to include, among other things, compliance costs of
the State Multi-Pollutant regulations and the New Source Review settlements, and updated costs for existing
facilities, such as life extension costs.
A detailed discussion of the IPM®, the methodology used in this analysis, and the analysis results for Option 6 is
presented in the appendix to this chapter.
B5-3 ADDITIONAL IMPACT ANALYSES
This section presents an additional assessment of the magnitude of Electric Generator compliance costs associated
with the options evaluated for Phase III existing facilities. The analyses presented in this section include a cost-
to-revenue analysis at the facility and firm levels, an analysis of compliance costs per household at the North
American Electric Reliability Council (NERC) level, and an analysis of compliance costs relative to electricity
price projections, also at the NERC level.
The analysis of the final Phase II rule used a predecessor version, V.2.1.
B5-7
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B5: Impact Analysis for Generators
B5-3.1 Cost-to-Revenue Analysis
The cost-to-revenue ratio is used to assess the magnitude of compliance costs relative to revenues. The cost-to-
revenue ratio is a useful test because it compares the cost of reducing adverse environmental impact from the
operation of the facility's cooling water intake structure (CWIS) with the economic value (i.e., revenue) of the
facility's economic activities. EPA conducted this test at the facility and firm levels. This analysis uses impact
thresholds of 0.5%, 1% and 3%.
a. Facility-level analysis
EPA received survey data for 113 Electric Generators potentially subject to Phase III regulation. EPA estimates
that three of these 113 Electric Generators are baseline closures; these facilities are excluded from this analysis.
For the remaining 110 facilities, EPA compared each facility's annualized after-tax compliance costs under each
evaluated option to the facility's annual revenues. EPA used facility-specific baseline revenue projections from
the IPM® for 2008 for this analysis. The IPM® did not provide revenues for two facilities because they are not
included in the model. In addition, the IPM® projects that nine facilities will have zero revenues in the baseline.
For the 11 facilities without IPM® revenues, EPA researched facility-specific electricity generation and firm-
specific wholesale prices, as reported to the Energy Information Administration (EIA), to calculate the cost-to-
revenue ratio. This research yielded information for nine of the 11 facilities; for the remaining two facilities, EIA
revenues are either zero or negative. EPA then applied sample weights to the 110 facilities to account for non-
sampled facilities and facilities that did not respond to the survey. The sample-weighted facility count, excluding
baseline closures, is 114.
Table B5-6 below presents the results of the facility-level cost-to-revenue analysis for each evaluated option. The
table presents (1) the total number of facilities subject to the national categorical requirements; (2) the number of
facilities with a cost-to-revenue ratio of less than 0.5%, at least 0.5% but less than 1%, at least 1% but less than
3%, and at least 3%; and (3) the minimum and maximum ratios.
As previously noted, no Electric Generators are subject to the national requirements nor incur compliance costs
under the three proposed options. Under the other evaluated options, between four and 114 Electric Generators
are subject to the national requirements; the remaining facilities are subject to best professional judgment
requirements and are excluded from this analysis. Table B5-6 shows that under most options, the majority of
facilities would have a cost-to-revenue ratio of less than 0.5%. Under Option 6, the most inclusive and costly of
the evaluated options, 10 facilities are estimated to have a ratio of between 1% and 3%, and 13 facilities are
estimated to have a ratio of greater than 3%. The maximum ratio under Option 6 is 430%; the maximum ratios
under the other evaluated options are 8.7% for Option 4 and 75.6% for Options 1, 2, and 3.
Table B5-6: Facility-Level Cost-to-Revenue Measure By Ownership Type
Option
Proposed
Options
Option 3
Option 4
Option 2
Option 1
Option 6
Total
Number of
Facilities3
-
51
4
51
51
114
< 0.5%
Number of Facilities with
0.5 to <1% 1 to <3%
a Ratio of
>=3%
No Rev.
-
35
1
34
33
88
3
-
3
1
1
3
1
4
7
10
9
1
9
9
13
1
-
1
1
2
Minimum
Ratio
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
Maximum
Ratio
0.0%
75.6%
8.7%
75.6%
75.6%
430.4%
a Individual numbers may not add up due to independent rounding.
Source: IPM® analysis, V.2.1.6: model run for Section 316(b) base case, 2008, AEO electricity demand assumptions; U.S. EPA
Analysis, 2004.
B5-8
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B5: Impact Analysis for Generators
b. Firm-level analysis
The facility-level analysis presented above showed that compliance costs are generally low compared to facility-
level revenues. However, impacts experienced at the firm-level may be more significant for firms that own
multiple facilities subject to Phase III regulation. EPA therefore also analyzed the firm-level cost-to-revenue
ratios of the evaluated options.
EPA first identified the domestic parent entity of each of the 110 surveyed, non-baseline closure Electric
Generators potentially subject to Phase III regulation (for a detailed description of this analysis, see Chapter Dl:
Regulatory Flexibility Analysis). EPA determined that 72 unique domestic parent entities own these 110
facilities. EPA identified 18 entities that own more than one Electric Generator potentially subject to Phase III
regulation. EPA obtained the sales revenues for each of the domestic parent entities from publicly available data
sources (the 1999, 2000, and 2001 Forms EIA-861; the Dun and Bradstreet database; company 10-K filings; and
entities' websites). The firm-level analysis is based on the ratio of each parent entity's aggregated after-tax
compliance costs (summed over each facility owned by the parent entity and subject to the national requirements)
to its total sales revenue.
Table B5-7 below presents the results of the firm-level cost-to-revenue measure. The table presents (1) the
sample-weighted number of facilities owned; (2) the total number of firms; (3) the number of firms with a cost-to-
revenue ratio of less than 0.5%, at least 0.5% but less than 1%, at least 1% but less than 3%, and at least 3%; and
(4) the minimum and maximum ratios.
No Electric Generators are subject to the national requirements under the three proposed options. Under the other
evaluated options, between four and 72 entities own Electric Generators subject to the national requirements; the
remaining entities own facilities subject to best professional judgment requirements and are excluded from this
analysis. EPA estimates that Phase III compliance costs would comprise a low percentage of firm-level revenues.
Under all of the evaluated options, no more than one entity would experience a cost-to-revenue ratio of greater
than 3%. Depending on the option, between one and five entities would have a ratio between 1% and 3%. The
highest estimated cost-to-revenue ratio under any of the evaluated options is 3.39%.
Table B5-7: Firm-Level Cost-to-Revenue Measure by Entity Type
Option
Proposed Options
Option 3
Option 4
Option 2
Option 1
Option 6
Total
Number
of
Facilities
Total
Number
of
Entities
-
51
4
51
51
114
42
4
42
42
72
Number of Entities with a Ratio of
<0.5% 0.5to=3%
-
38
2
38
37
66
1 3
1 1
3 1
4 1
5 1
Minimum
Ratio
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
Maximum
Ratio
0.00%
2.65%
3.39%
3.39%
3.39%
3.39%
Source: U.S. EPA Analysis, 2004.
B5.3-2 Cost Per Household Analysis
EPA also conducted an analysis that evaluates the potential cost per household, if Phase III facilities were able to
pass compliance costs on to their customers. This analysis estimates the average compliance cost per household
B5-9
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B5: Impact Analysis for Generators
for each North American Electric Reliability Council (NERC) region, using data on residential consumers from
the2001FormEIA-861.4
EPA calculated the average annual cost per household for each evaluated option by dividing the total pre-tax
compliance cost of all regulated facilities in a NERC region by the total number of households in that region.
This analysis assumes that Electric Generators pass costs on to consumers, on a dollar-to-dollar basis, and that
there will be no reduction in electricity consumption by the consumers in response to price increases. EPA also
used the conservative assumption that residential consumers bear the full burden of compliance costs; no other
customer groups (e.g., commercial or industrial consumers) are assumed to bear any of the compliance costs.
Table B5-8 presents the annualized pre-tax compliance costs, by NERC region, for each evaluated option. Table
B5-9 shows the number of households in each NERC region, and the estimated annual compliance cost per
household. No Electric Generators would incur compliance costs under the three proposed options. The highest
estimated annual cost per household, under any option and in any region, is $0.12 in the Mid-Continent Area
Power Pool (MAPP) under Options 1 and 6. Under all other options and in all other regions, the estimated annual
cost per household is lower.
Table B5-8: Annualized Pre-Tax Compliance Cost by NERC Region (2003$)
NERC
Region3
ASCC
ECAR
ERCOT
FRCC
HI
MAAC
MAIN
MAPP
NPCC
SERC
SPP
WECC
U.S.
Proposed
Options
SO
SO
SO
SO
SO
SO
SO
SO
SO
SO
SO
SO
SO
Option 3
$0
$256,000
$7,000
$2,000
$0
$8,000
$400,000
$540,000
$417,000
$14,000
$275,000
$107,000
$2,025,000
Option 4
$0
$387,000
$0
$0
$0
$0
$376,000
$0
$209,000
$0
$0
$0
$972,000
Option 2
$0
$504,000
$7,000
$2,000
$0
$8,000
$482,000
$540,000
$623,000
$14,000
$275,000
$107,000
$2,562,000
Option 1
$0
$642,000
$7,000
$2,000
$0
$8,000
$482,000
$603,000
$623,000
$14,000
$275,000
$246,000
$2,901,000
Option 6
$0
$917,000
$18,000
$10,000
$0
$22,000
$687,000
$612,000
$1,109,000
$36,000
$289,000
$262,000
$3,963,000
a Key to NERC regions: ASCC - Alaska Systems Coordinating Council; ECAR - East Central Area Reliability Coordination
Agreement; ERCOT - Electric Reliability Council of Texas; FRCC - Florida Reliability Coordinating Council; HI - Hawaii;
MAAC - Mid-Atlantic Area Council; MAIN - Mid-America Interconnect Network; MAPP - Mid-Continent Area Power Pool;
NPCC - Northeast Power Coordinating Council; SERC - Southeastern Electric Reliability Council; SPP - Southwest Power Pool;
WECC - Western Electricity Coordinating Council.
Source: U.S. DOE, 2001; U.S. EPA Analysis, 2004.
4 The number of residential consumers reported in Form EIA-861 is based on the number of utility meters. This is a proxy for the
number of households but can differ slightly due to bulk metering in some multi-family housing.
B5-10
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B5: Impact Analysis for Generators
Table B5-9: Annual Compliance Cost per Residential Consumer by NERC Region (2001)
NERC
Region3
ASCC
ECAR
ERCOT
FRCC
HI
MAAC
MAIN
MAPP
NPCC
SERC
SPP
WECC
U.S.
Number of
Households
(2001)
234,646
15,698,205
7,309,073
6,885,280
351,229
8,921,106
8,366,132
4,933,221
12,676,283
20,550,922
5,002,020
23,085,962
114,014,079
Annual Compliance Cost/ Residential Consumer (2003 S)
Proposed
Options
$0.00
$0.00
$0.00
$0.00
$0.00
$0.00
$0.00
$0.00
$0.00
$0.00
$0.00
$0.00
$0.00
Option 3
$0.00
$0.02
$0.00
$0.00
$0.00
$0.00
$0.05
$0.11
$0.03
$0.00
$0.06
$0.00
$0.02
Option 4
$0.00
$0.02
$0.00
$0.00
$0.00
$0.00
$0.04
$0.00
$0.02
$0.00
$0.00
$0.00
$0.01
Option 2
$0.00
$0.03
$0.00
$0.00
$0.00
$0.00
$0.06
$0.11
$0.05
$0.00
$0.06
$0.00
$0.02
Option 1
$0.00
$0.04
$0.00
$0.00
$0.00
$0.00
$0.06
$0.12
$0.05
$0.00
$0.06
$0.01
$0.03
Option 6
$0.00
$0.06
$0.00
$0.00
$0.00
$0.00
$0.08
$0.12
$0.09
$0.00
$0.06
$0.01
$0.03
a Key to NERC regions: ASCC - Alaska Systems Coordinating Council; ECAR - East Central Area Reliability Coordination
Agreement; ERCOT - Electric Reliability Council of Texas; FRCC - Florida Reliability Coordinating Council; HI - Hawaii;
MAAC - Mid-Atlantic Area Council; MAIN - Mid-America Interconnect Network; MAPP - Mid-Continent Area Power Pool;
NPCC - Northeast Power Coordinating Council; SERC - Southeastern Electric Reliability Council; SPP - Southwest Power Pool;
WECC - Western Electricity Coordinating Council.
Source: U.S. DOE, 2001; U.S. EPA Analysis, 2004.
B5-3.3 Electricity Price Analysis
EPA also considered potential effects of Phase III regulation on electricity prices. EPA used three data inputs in
this analysis: (1) total pre-tax compliance cost incurred by facilities subject to the national requirements; (2) total
electricity sales projected for 2007 (the year the proposed rule would take effect), based on the Annual Energy
Outlook (AEO) 2003; and (3) projected prices for 2007 by consumer type (residential, commercial, industrial, and
transportation), also from the AEO 2003. All three data elements were calculated by NERC region.
Table B5-10 shows total projected electricity sales (in MWh) for 2007 and the average compliance cost per
kilowatt hour (KWh) for each evaluated option, by NERC region. The average cost per kilowatt hour for each
option was estimated by dividing the annualized pre-tax compliance costs for each NERC region (presented in
Table B5-8 above) by the region's total electricity sales. No Electric Generating facilities would incur
compliance costs under the three proposed options. For all other evaluated options, the average cost ranges from
no additional cost per KWh sales to a maximum of 0.0004 cents per KWh sales. The U.S. average is estimated to
be 0.0001 additional cents per KWh sales or less under all options.
B5-11
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B5: Impact Analysis for Generators
Table B5-10: Compliance Cost per KWh of Sales by NERC Region
NERC
Region3
ASCC
ECAR
ERCOT
FRCC
HI
MAAC
MAIN
MAPP
NPCC
SERC
SPP
WECC
U.S.
Total Electricity
Sales (MWh;
2001)
—
570,807,007
297,949,799
208,035,233
—
280,251,282
255,762,939
172,704,269
282,686,981
853,386,597
191,778,000
259,401,428
3,845,085,938
Annualized
Proposed
Options
00.0000
00.0000
00.0000
00.0000
00.0000
00.0000
00.0000
00.0000
00.0000
00.0000
00.0000
00.0000
00.0000
Option 3
00.0000
00.0000
00.0000
00.0000
00.0000
00.0000
40.0002
40.0003
40.0001
00.0000
40.0001
00.0000
to.oooi
Pre-Tax Compliance
Option 4
00.0000
4 0.0001
00.0000
00.0000
00.0000
00.0000
40.0001
00.0000
40.0001
00.0000
00.0000
00.0000
00.0000
Cost (Cents / KWh Sales)
Option 2
00.0000
40.0001
00.0000
00.0000
00.0000
00.0000
40.0002
40.0003
40.0002
00.0000
40.0001
00.0000
to.oooi
Option 1
00.0000
4 0.0001
00.0000
00.0000
00.0000
00.0000
40.0002
40.0003
40.0002
00.0000
40.0001
40.0001
$0.0001
Option 6
00.0000
40.0002
00.0000
00.0000
00.0000
00.0000
40.0003
40.0004
40.0004
00.0000
40.0002
40.0001
to.oooi
a Key to NERC regions: ASCC - Alaska Systems Coordinating Council; ECAR - East Central Area Reliability Coordination
Agreement; ERCOT - Electric Reliability Council of Texas; FRCC - Florida Reliability Coordinating Council; HI - Hawaii;
MAAC - Mid-Atlantic Area Council; MAIN - Mid-America Interconnect Network; MAPP - Mid-Continent Area Power Pool;
NPCC - Northeast Power Coordinating Council; SERC - Southeastern Electric Reliability Council; SPP - Southwest Power Pool;
WECC - Western Electricity Coordinating Council.
The Annual Energy Outlook does not include ASCC and HI.
Source: U.S. DOE, 2003; U.S. EPA Analysis, 2004.
To determine potential effects on electricity prices as a result of compliance with the evaluated options, EPA
compared the compliance cost per KWh of sales, presented in Table B5-10 above, to projected baseline electricity
prices for different consumer types (projections for 2007).
Table B5-11 below presents the estimated percentage changes in baseline electricity prices for Option 6, the most
inclusive and most costly of the evaluated options. These results therefore represent the upper bound of potential
electricity price effects under any of the evaluated options. Rounded to the nearest 100th of a percent, the largest
estimated percentage increases for any consumer type and in any region under Option 6 is 0.01%. For all other
options, the resulting percentage increases in electricity prices would be less than, or equal to, those estimated for
Option 6. Overall, EPA concludes that the compliance costs for none of the evaluated options would have an
effect on electricity prices.
This analysis assumes that Electric Generators fully recover compliance costs from consumers and that each
sector (i.e., residential, commercial, industrial, and transportation) bears an equal burden of compliance costs per
MWh of purchased electricity.
B5-12
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities
B5: Impact Analysis for Generators
Table B5-11: Estimated Price Increase as a Percentage of 2007 Prices by Consumer Type and NERC
Region - Option 6 (All costs and prices in cents per kilowatt hour; 2003$)
Region
ECAR
ERCOT
FRCC
MAAC
MAIN
MAPP
NPCC
SERC
SPP
WECC
U.S.
Annualized
Pre-Tax
Compliance
Cost (Cents /
KWh Sales)
Opt. 6
0.0002
0.0000
0.0000
0.0000
0.0003
0.0004
0.0004
0.0000
0.0002
0.0001
0.0001
Residential
Price _,
Change
6.72 0.00%
8.30 0.00%
8.37 0.00%
7.48 0.00%
7.60 0.00%
6.91 0.01%
10.64 0.00%
7.42 0.00%
7.18 0.00%
6.55 0.00%
7.86 0.00%
Commercial
Price _,
Change
5.95 0.00%
7.74 0.00%
7.16 0.00%
5.88 0.00%
6.10 0.00%
5.80 0.01%
7.85 0.01%
6.55 0.00%
6.03 0.00%
5.90 0.00%
6.87 0.00%
Industrial
Price _,
Change
4.15 0.00%
5.08 0.00%
5.33 0.00%
5.35 0.00%
4.18 0.01%
3.99 0.01%
5.47 0.01%
4.16 0.00%
4.06 0.00%
3.38 0.00%
4.43 0.00%
Transportation
Price _,
Change
5.65 0.00%
6.94 0.00%
7.32 0.00%
6.16 0.00%
6.12 0.00%
5.74 0.01%
8.40 0.00%
6.29 0.00%
5.76 0.00%
5.67 0.00%
6.71 0.00%
All Sectors Average
Price % Change
5.51 0.00%
7.22 0.00%
7.65 0.00%
6.34 0.00%
6.01 0.00%
5.53 0.01%
8.37 0.00%
6.16 0.00%
5.91 0.00%
5.22 0.00%
6.54 0.00%
Source: U.S. EPA Analysis, 2004.
B5-4 UNCERTAINTIES AND LIMITATIONS
»»» Estimation of Private Compliance Costs
EPA's estimates of the compliance costs associated with the options evaluated in developing the proposed rule are
subject to limitations because of uncertainties about the number and characteristics of Electric Generators that
would potentially be subject to Phase III regulation under each option. Projecting the number of facilities that
meet the design intake flow applicability thresholds is subject to uncertainties associated with the quality of data
reported by the facilities in their Detailed Questionnaire (DQ) and Short Technical Questionnaire (STQ) surveys,
and with the accuracy of the design flow estimates for the STQ facilities. Characterizing the cooling systems and
intake technologies in use at existing facilities is also subject to uncertainties associated with the quality of data
reported by the facilities in their surveys and with the projected technologies for the STQ facilities. The estimated
total compliance costs for the Electric Generating industry may be over- or understated if the projected number of
Phase III existing facilities subject to the national categorical requirements is incorrect or if the characteristics of
the facilities are different from those assumed in the analysis.
Limitations in EPA's ability to consider a full range of compliance responses may result in an overestimate of
facility compliance costs. The Agency was not able to consider certain compliance responses, including the costs
of using alternative sources of cooling water, the costs of some methods of changing the cooling system design,
and the costs of restoration. Costs would be overstated if these excluded compliance responses are less expensive
than the projected compliance response for some facilities.
Alternative less stringent requirements based on both costs and benefits are allowed under the evaluated options.
There is some uncertainty in predicting compliance responses because the number of facilities requesting
alternative less stringent requirements based on costs and benefits is unknown.
B5-13
-------
§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B5: Impact Analysis for Generators
There is also uncertainty associated with the estimates of facility revenues. Facility revenues are projected
revenues from the IPM®. The IPM® is a forward looking model that simulates generator dispatch based on
numerous assumptions about future conditions, including future fuel prices, electricity demand, new capacity
additions, heat rates, etc. Changing these assumptions might affect the projected facility revenues and the
estimated cost of installation downtime for Electric Generators.
»»» Electricity Market Model An alysis
Uncertainties and limitations associated with EPA's IPM® analysis are documented in the appendix to this
chapter.
»»» Additional Impact Analyses
There is uncertainty associated with EPA's estimates of potential cost per household and electricity price changes.
As noted in the sections above, EPA's analyses are based on the assumption that Electric Generators would be
able to pass on 100% of their compliance costs to their customers. For the cost per household analysis, EPA
assumed that all costs would be passed on to all residential customers in the region. The results of this analysis
might differ if less than 100% of compliance costs could be passed on, or if only a subset of residential consumers
in a region bore the passed-on costs. For the electricity price analysis, EPA assumed that all costs would be
spread evenly among all customers. Again, the results of this analysis might differ if less than 100% of
compliance costs could be passed on, or if the different customer groups bore different shares of compliance
costs. However, in both analyses, the two uncertainty factors would change results in opposite directions; it is
therefore unclear whether EPA's analyses might overstate or understate actual impacts. In addition, the impacts
of both analyses are very minor; therefore, it is unlikely that EPA's findings would change, even if one or more of
EPA's assumptions were incorrect.
B5-14
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B5: Impact Analysis for Generators
REFERENCES
Engineering News-Record (ENR). 2004. Construction Cost Index. Available at:
http://enr.construction.com/features/conEco/costIndexes/constIndexHist.asp.
U.S. Department of Energy (U.S. DOE). 2003. Energy Information Administration (EIA). Annual Energy
Outlook 2003 With Projections to 2025. DOE/EIA-0383(2003). January 2003.
U.S. Department of Energy (U.S. DOE). 2001. FormEIA-861. Annual Electric Utility Report for the Reporting
Period 2001.
U.S. Department of Labor (U.S. DOL). 2004. Bureau of Labor Statistics (BLS). Producer Price Index-
Commodities. Series ID: WPU0543. Not Seasonally Adjusted. Group: Fuels and related products and power.
Item: Industrial electric power. Available at: http://www.bls.gov/ppi/. Accessed on July 23, 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2004a. Economics and Benefits Analysis for the Final
Section 316(b) Phase IIExisting Facilities Rule. EPA-821-R-04-005. February 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2004b. Technical Development Document for the Proposed
Section 316(b) Rule for Phase III Facilities. EPA-821 -R-04-015. November 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2003. Documentation Supplement for EPA Modeling
Applications (V. 2.1.6) Using the Integrated Planning Model. EPA 430/R-03-007. July 2003.
U.S. Environmental Protection Agency (U.S. EPA). 2002. Documentation of EPA Modeling Applications (V.2.1)
Using the Integrated Planning Model. EPA 430/R-02-004. March 2002.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Section 316(b) Industry Survey. Detailed Industry
Questionnaire: Phase II Cooling Water Intake Structures and Industry Short Technical Questionnaire: Phase II
Cooling Water Intake Structures, January, 2000 (OMB Control Number 2040-0213). Industry Screener
Questionnaire: Phase I Cooling Water Intake Structures, January, 1999 (OMB Control Number 2040-0203).
B5-15
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§ 316(b) Proposed Rule: Phase III-EA, PartB: Economic Analysis for Existing Facilities B5: Impact Analysis for Generators
THIS PAGE INTENTIONALLY LEFT BLANK
B5-16
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Appendix 1 to Chapter B5:
Electricity Market Model Analysis
B5A-1.2
B5A-1.3
B5A-1.4
B5A-2
APPENDIX CONTENTS
B5A-1 Integrated Planning Model Overview ...
B5A-1.1 Modeling Methodology
Specifications for the Section
316(b) Analysis
Model Inputs
Model Outputs
Economic Impact Analysis Methodology
B5 A-2.1 Market-level Impact Measures
B5A-2.2 Facility-level Impact Measures
(Potential Phase III Facilities
Only)
Analysis Results for Option 6
B5A-3.1 Market Analysis for 2013
B5 A-3.2 Analysis of Potential Phase III
Facilities for 2013
Summary of IPM V.2.1.6 Updates
Uncertainties and Limitations
B5A-3
B5A-4
B5A-5
B5A-2
B5A-2
B5A-5
B5A-6
B5A-7
B5A-8
B5A-8
B5A-10
B5A-11
B5A-12
B5A-18
B5A-24
B5A-30
INTRODUCTION
This appendix presents EPA's analysis of impacts on
Electric Generators potentially subject to Phase III
regulation and to the Electric Generating Industry as
a whole. While only a subset of facilities in the
electric power generation industry would be subject
to Phase III regulation under any option evaluated for
this proposal, interdependencies within the electric
power market, might result in indirect impacts
throughout the industry. Direct impacts on plants
subject to an evaluated option may include changes
in capacity utilization, generation, and profitability.
Potential indirect impacts on the electric power
industry may include changes to the generation and
revenue of facilities and firms not subject to Phase III
regulation, changes to bulk system reliability, and
regional and national impacts such as changes in the
price of electricity and the construction of new
generating capacity.
Under the proposed options, the minimum applicability threshold for national categorical requirements is 50
MGD or greater. Since Electric Generators with design intake flows of 50 MGD or greater were covered by
Phase II regulation, no Phase III Generator would be subject to the national categorical requirements under any of
the proposed options; therefore there would be no direct impacts on any Electric Generators nor any indirect
impacts on the Electric Generating Industry as a result of the proposed rule. However, some of the other options
evaluated by EPA would impose compliance costs on Electric Generators. This chapter presents an analysis of
the potential effects of Option 6, the most costly option considered by EPA, and the option with the highest
potential impacts. Option 6 would impose national categorical requirements on all facilities with a DIP of 2 MGD
or greater.
EPA used ICF Consulting's Integrated Planning Model (IPM®), an integrated energy market model, to conduct
the economic analyses supporting this rule.1 The model addresses the interdependencies within the electric power
market and accounts for both direct and indirect impacts of regulatory actions. EPA used the model to analyze
two potential effects of Option 6: (1) potential energy effects at the national and regional levels, as required by
Executive Order 13211 ("Actions Concerning Regulations That Significantly Affect Energy Supply, Distribution,
or Use");2 and (2) potential economic impacts on facilities potentially subject to Phase III regulation.
Option 6 was evaluated under the unadjusted electricity demand from the Annual Energy Outlook (AEO) 2003.
Section B5A-3 presents the results of the IPM® analysis for Option 6.
1 The IPM® was also used for the Phase II Rule. At the time of the Phase II proposal EPA evaluated several models suitable for
analysis of environmental policies that affect the electric power industry. For a full discussion of the various models EPA considered, refer
to section B3-1 and Appendix B in Chapter B3 of the Economics and Benefits Analysis for the Final Section 316(b) Phase II Existing
Facilities Rule (U.S. EPA, 2004a).
2 Please refer to Chapter D3: Other Administrative Requirements for a discussion of this analysis.
B5A-1
-------
§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
B5A-1 INTEGRATED PLANNING MODEL OVERVIEW
This section presents a general overview of the capabilities of the IPM®, including a discussion of the modeling
methodology, the specification of the model for the section 316(b) analysis, and model inputs and outputs. When
the analyses in support of the Phase II Rule were developed, the latest EPA specification of the U.S. power
market, "EPA Base Case 2000," was based on IPM® Version 2.1 (U.S. EPA, 2002). In July 2003, a new version
of the model, Version 2.1.6, was released (U.S. EPA, 2003). The Phase III proposal analyses utilize the
specifications for the new "EPA Base Case 2003". A summary table of model updates is presented in section
B5A-4.
B5A-1.1 Modeling Methodology
a. General framework
The IPM® is an engineering-economic optimization model of the electric power industry, which generates least-
cost resource dispatch decisions based on user-specified constraints such as environmental, demand, and other
operational constraints. The model can be used to analyze a wide range of electric power market issues at the
plant, regional, and national levels. In the past, applications of the IPM® have included capacity planning,
environmental policy analysis and compliance planning, wholesale price forecasting, and asset valuation.
The IPM® uses a long-term dynamic linear programming framework that simulates the dispatch of generating
capacity to achieve a demand-supply equilibrium on a seasonal basis and by region. The model seeks the optimal
solution to an "objective function," which is a linear equation equal to the present value of the sum of all capital
costs, fixed and variable operation and maintenance (O&M) costs, and fuel costs. The objective function is
minimized subject to a series of user-defined supply and demand, or system operating, constraints. Supply-side
constraints include capacity constraints, availability of generation resources, plant minimum operating constraints,
transmission constraints, and environmental constraints. Demand-side constraints include reserve margin
constraints and minimum system-wide load requirements. The optimal solution to the objective function is the
least-cost mix of resources required to satisfy system wide electricity demand on a seasonal basis by region. In
addition to existing capacity, the model also considers new resource investment options, including capacity
expansion or repowering at existing plants as well as investment in new plants. The model selects new
investments while considering interactions with fuel markets, capacity markets, power plant cost and performance
characteristics, forecasts of electricity demand, reliability criteria, and other constraints. The resulting system
dispatch is optimized given the resource mix, unit operating characteristics, and fuel and other costs, to achieve
the most efficient use of existing and new resources available to meet demand. The model is dynamic in that it is
capable of using forecasts of future conditions to make decisions for the present.3
b. Model plants
The model is supported by a database of boilers and electric generation units which includes all existing utility-
owned generation units as well as those located at plants owned by independent power producers and
cogeneration facilities that contribute capacity to the electric transmission grid. Individual generators are
aggregated into model plants with similar O&M costs and specific operating characteristics including seasonal
capacities, heat rates, maintenance schedules, outage rates, fuels, and transmission and distribution loss
characteristics.
3 EPA used the IPM® to forecast operational changes, including changes in capacity, generation, revenues, electricity prices, and
plant closures, resulting from the rule. In other policy analyses, the IPM® is generally also used to determine the compliance response for
each model facility. This process involves selecting the optimal response from a menu of compliance options that will result in the least-
cost system dispatch and new resource investment decision. Compliance options specified by IPM® may include fuel switching,
repowering, pollution control retrofit, co-firing multiple fuels, dispatch adjustments, and economic retirement. EPA did not use this
capability to choose the compliance responses of the facilities subject to section 316(b) rulemaking. Rather EPA exogenously estimated a
compliance response using the costs of technologies capable of meeting the percentage reductions in impingement and entrainment
required under the regulation. In the post-compliance analysis, these compliance costs were added as model inputs to the base case
operating and capital costs.
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§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
The number and aggregation scheme of model plants can be adjusted to meet the specific needs of each analysis.
The EPA Base Case 2003 contains 1,703 model plants.
c. IPM® regions
The IPM® divides the U.S. electric power market into 26 regions in the contiguous U.S. It does not include
generators located in Alaska or Hawaii. The 26 regions map into North American Reliability Council (NERC)
regions and sub-regions. The IPM® models electric demand, generation, transmission, and distribution within
each region and across the transmission grid that connects regions. For the analyses presented in this chapter,
IPM® regions were aggregated back into NERC regions. Figure B5A-1 provides a map of the regions included in
the IPM®. Table B5A-1 presents the crosswalk between NERC regions and IPM® regions.
Figure B5A-1: Regional Representation of U.S. Power System as Modeled in IPM"
NENG
WUMS DSNYU
MECS
Source: U.S. EPA, 2002.
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§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5A-1: Crosswalk between NERC Regions and IPM® Regions
NERC Region
ASCC - Alaska
ECAR - East Central Area Reliability Coordination Agreement
ERCOT - Electric Reliability Council of Texas
FRCC - Florida Reliability Coordinating Council
HI - Hawaii
MACC - Mid Atlantic Area Council
MAIN - Mid- America Interconnect Network
MAPP - Mid-Continent Area Power Pool
NPCC - Northeast Power Coordination Council
SERC - Southeastern Electricity Reliability Council
SPP - Southwest Power Pool
WECC - Western Electricity Coordinating Council
IPM® Regions
Not Included
ECAO, MECS
ERCT
FRCC
Not Included
MACE, MACS, MACW
MANO, WUMS
MAPP
DSNY, LILC, NENG, NYC, UPNY
ENTG, SOU, TVA, VACA
SPPN, SPPS
AZNM, CALI, NWPE, PNW, RMPA
Source: U.S. EPA, 2002.
d. Model run years
The IPM® models the electric power market over the 26-year period 2005 to 2030. Due to the data-intensive
processing procedures, the model is run for a limited number of years only. Run years are selected based on
analytical requirements and the necessity to maintain a balanced choice of run years throughout the modeled time
horizon. EPA selected the following run years for the Phase II analysis: 2008, 2010, and 2013, and has chosen to
retain them for the Phase III analysis.4'5
The model assumes that capital investment decisions are only implemented during run years. Each model run
year is mapped to several calendar years such that changes in variable costs, available capacity, and demand for
electricity in the years between the run years are partially captured in the results for each model run year. Table
B5A-2 below identifies the model run years specified for the analysis of Phase III options and the calendar years
mapped to each.
4 The IPM® developed output for a total of five model run years 2008, 2010, 2013, 2020, and 2026. Model run years 2020 and 2026
were specified for model balance, while run years 2008, 2010, and 2013 were selected to provide output across the compliance period.
Output for 2026 was not used in this analysis. For a discussion explaining the reasons for the selected model run years refer to section B3-
2.\dofthe Economics and Benefits Analysis for the Final Section 316(b) Phase II Existing Facilities Rule (U.S. EPA, 2004a).
5 EPA estimates that Phase III facilities would comply between 2010 and 2014. For the analyses using the IPM® only, EPA modified
this assumption and used compliance years of 2008 through 2012 by subtracting two years from the estimated compliance year of each
facility. This modification allowed EPA to analyze the output for 2013 as the year when all facilities are in compliance.
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§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
Table B5A-2: Model Run Year Mapping
Run Year
2008
2010
2013
2020
2026
Mapped Years
2005-2009
2010-2012
2013-2015
2016-2022
2023-2030
Source: IPtvf model specification for the Section 316(b) Base Case.
B5A-1.2 Specifications for the Section 316(b) Analysis
The analysis for section 316(b) rulemaking required changes in the original specification of the IPM®.
Specifically, the base case configuration of the model plants and model run years were revised according to the
requirements of this analysis. Both modifications to the existing model specifications are discussed below.
*• Changes in the Aggregation of Model Plants: As noted above, the IPM® aggregates individual boilers
and generators with similar cost and operational characteristics into model plants. Since the IPM® model
plants were initially created to support air policy analyses, the original configuration was not appropriate
for the section 316(b) analysis. As a result, the steam and non-steam electric generators at facilities
subject to the Phase II and Phase III rules were disaggregated from the existing IPM® model plants and
"run" as individual facilities along with the other existing model plants. This change increased the total
number of model plants from 1,703 to 2,342.
*• Use of Different Model Run Years: The original specification of the IPM®'s EPA Base Case 2003 uses
five model run years chosen based on the requirements of various air policy analyses: 2005, 2010, 2015,
2020, and 2026. As explained above, EPA was interested in analyzing different years for the section
316(b) rulemaking effort. Therefore, EPA changed the run years for the section 316(b) analysis in order
to obtain model output throughout the compliance period (see discussion of run year selection in section
B5A-1.1 .d above). The change in run years and run year mappings are summarized below.
Table B5A-3: Modification of Model Run Years
EPA Base
Run Year
2005
2010
2015
2020
2026
Case 2003 Specification
Run Year Mapping
2005-2007
2008-2012
2013-2017
2018-2022
2023-2030
Section 316(b) Base Case
Run Year Run
2008
2010
2013
2020
2026
Specification
Year Mapping
2005-2009
2010-2012
2013-2015
2016-2022
2023-2030
Source: IPM® model specifications for the EPA Base Case 2003 and the Section 316(b) Base Case.
EPA compared the base case results generated from the two different specifications of the IPM® model. The base
case results could only be compared for those run years that are common to both base cases, 2010 and 2020. This
comparison identified little or no difference in the base case results:
»• Base case total production costs (capital, O&M, and fuel) using the revised section 316(b) specifications
are lower by 0.1% in 2010 and 2020.
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§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
*• Early retirements of base case oil and gas steam capacity and coal capacity under the section 316(b)
specifications are higher by 3,192 megawatt (MW) and 383 MW in 2010 and 2020, respectively.
*• The change in model specifications resulted in virtually no change in base case coal and gas use in 2010
and 2020.
B5A-1.3 Model Inputs
Compliance costs and compliance-related capacity reductions are the primary model inputs in the analysis of
section 316(b) rulemaking. EPA determined compliance costs for each of the 113 facilities potentially subject to
Phase III regulation and 534 facilities subject to the Phase II regulation and modeled by the IPM®.6 For each
facility, compliance costs consist of capital costs (including costs for new screens or fish barrier nets, intake
relocation, and intake piping modification), fixed O&M costs, variable O&M costs, permitting costs, and capacity
reductions (for information on the costing methodology, see the Technical Development Document for the
Proposed Section 316(b) Rule for Phase III Facilities; U.S. EPA, 2004b).
*• Capital cost inputs into the IPM® are expressed as a fixed O&M cost, in dollars per kilowatt (KW) of
capacity per year. The capital costs of compliance reflect the up-front cost of construction, equipment,
and capital associated with the installation of required compliance technologies. The IPM® uses two up-
front cost values as model inputs (one each for technologies with a useful life of 10 and 30 years,
respectively) and translates these values into a series of annual after-tax payments using a discount rate of
5.34% for medium risk investments and 6.74%for high risk investments, and a capital charge rate of 12%
for medium risk investments and 13.4% for high risk investments for the duration of the book life of the
investment (assumed to be 30 years for initial permitting costs and 10 years for the various compliance
technologies) or the years remaining in the modeling horizon, whichever is shorter. High risk
investments include Integrated Gasification Combined Cycle (IGCC) and repowerings-to- IGCC.7
*• Fixed O&M cost inputs into the IPM® are expressed in terms of dollars per KW of capacity per year.
*• Variable O&M cost inputs are expressed in dollars per megawatt hour (MWh) of generation.
*• Permitting costs consist of initial permitting costs, annual monitoring costs, repermitting costs (occurring
every five years after issuance of the initial permit), and, for some facilities, pilot study costs. Permitting
cost inputs are expressed as follows: initial permitting and pilot study activities are necessary for the on-
going operation of the plant and are therefore added to the capital costs for technologies with a 30-year
useful life; annual monitoring and annualized repermitting costs are added to the fixed O&M costs.
*• Capacity reductions consist of a one-time generator downtime. Generator downtime estimates reflect the
amount of time generators are off-line while compliance technologies are constructed and/or installed and
are expressed in weeks. The generator downtime is a one-time event that affects several of the
compliance technologies evaluated by EPA. Generator downtime is estimated to occur during the year
when a facility complies with the policy option. Since the years that are mapped into a run year are
assumed to have the same characteristics as the run year itself, generator downtimes were applied as an
6 Two of the 113 facilities potentially subject to Phase III regulation and nine of the 543 facilities subject to the Phase II rule are
either not modeled in the IPM® or do not have steam-electric generators: one Phase III facility is out-of-service; one Phase II facility is
retired; five facilities, one Phase III and four Phase II, are on-site generators that do not provide electricity to the grid; three Phase II
facilities are in Hawaii and one Phase II facility is in Alaska, neither of which is represented in the IPM®.
7 The capital charge rate is a function of capital structure (debt/equity shares of an investment), pre-tax debt rate (or interest cost),
debt life, after-tax return on equity, corporate income tax, depreciation schedule, book life of the investment, and other costs including
property tax and insurance. The discount rate is a function of capital structure, pre-tax debt rate, and after-tax return on equity.
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§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
average over the years that are mapped into each model run year.8 Estimated generator downtimes due to
construction and/or installation range from two to eleven weeks (see also Chapter Bl: Summary of Cost
Categories and Key Analysis Elements for Existing Facilities).
The IPM® operates at the boiler level. It was therefore necessary to distribute facility-level costs across affected
boilers. EPA used the following methodology:
*• Steam electric generators operating at each of the 645 modeled section 316(b) Phase II and Phase III
facilities were identified using data from the IPM®.
*• Generator-specific design intake flows were obtained from Form EIA-767 (1998 and 2000).9
*• Facility-level compliance costs were distributed across each facility's steam generators. For facilities
with available design intake flow data, this distribution was based on each generator's proportion of total
design intake volume; for facilities without available design intake flow, this distribution was based on
each generator's proportion of total steam electric capacity.
*• Generator-level compliance costs were aggregated to the boiler level based on the EPA's Base Case 2003
cross-walk between boilers and generators.
B5A-1.4 Model Outputs
The IPM® generates a series of outputs on different levels of aggregation (boiler, model plant, region, and nation).
The economic analysis for Option 6 used a subset of the available IPM® output. For each model run and for each
model run year (2008, 2010, 2013, and 2020) the following model outputs were generated:
*• Capacity - Capacity is a measure of the ability to generate electricity. This output measure reflects the
summer net dependable capacity of all generating units at the plant. The model differentiates between
existing capacity, new capacity additions, and existing capacity that has been repowered.10
*• Early Retirements - The IPM® models economic closures as a result of negative net present value of
future operation.11 Under the Phase II analysis, all power plants that retired after the compliance year
continued to carry the compliance costs after retirement. This modeling assumption has been changed for
the Phase III analysis such that power plants with a compliance year in the 2005, 2006, or 2007 model run
years, if endogenously retired by the model in the 2008 run year, will not carry the cost of the compliance
decision over their retired life.
8 For example, a facility with a downtime in 2008 was modeled as if l/5th of its downtime occurred in each year between 2005 and
2009. A potential drawback of this approach of averaging downtimes over the mapped years is that the snapshot of the effect of
downtimes during the model run year is the average effect; this approach does not model potential worst case effects of above-average
amounts of capacity being down in any one NERC region during any one year.
9 This information is provided in Schedule IV - Generator Information, Question 3.A (Design flow rate for the condenser at 100%
load). Design intake flow data at the generator level is not available for nonutilities nor for those utility owned plants with a steam
generating capacity less than 100 MW. Generator-level design intake flow data were not available for 41 of 111 Phase III modeled
facilities and 60 of the 534 Phase II modeled facilities.
10 Repowering in the IPM® consists of converting oil/gas or coal capacity to combined-cycle capacity. The modeling assumption is
that each one MW of existing capacity is replaced by two MW of repowered capacity.
11 Under the Phase II analysis nuclear plants were evaluated for economic viability at the end of their license term. Nuclear units that,
at age 30, did not make a major maintenance investment, were provided with a 10-year life extension, if they were economically viable.
These same units could subsequently undertake a 20-year re-licensing option at age 40. Nuclear units that already had made a
maintenance investment were provided with a 20-year re-licensing option at age 40, if they were economically viable. All nuclear units
were ultimately retired at age 60. Nuclear power plant retirements are no longer endogenous in the 2003 IPM®, and are now consistent
with AEO2003. All other nuclear plants are assumed to remain operating over the modeling time horizon.
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§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
Energy Price - The average annual price received for the sale of electricity.
Capacity Price - The premium over energy prices received by facilities operating in peak hours during
which system load approaches available capacity. The capacity price is the premium required to stimulate
new market entrants to construct additional capacity, cover costs, and earn a return on their investment.
This price manifests as short term price spikes during peak hours and, in long-run equilibrium, need be
only so large as is required to justify investment in new capacity.
Generation - The amount of electricity produced by each plant that is available for dispatch to the
transmission grid ("net generation").
Energy Revenue - Revenues from the sale of electricity to the grid.
Capacity Revenue - Revenues received by facilities operating in hours where the price of energy
exceeds the variable production cost of generation for the next unit to be dispatched at that price in order
to maintain reliable energy supply in the short run. At these peak hours, the price of energy includes a
premium which reflects the cost of the required reserve margin and serves to stimulate investment in the
additional capacity required to maintain a long run equilibrium in the supply and demand for capacity.
Fuel Costs - The cost of fuel consumed in the generation of electricity.
Variable Operation and Maintenance Costs - Non-fuel O&M costs that vary with the level of
generation, e.g., cost of consumables, including water, lubricants, and electricity.
Fixed Operation and Maintenance Costs - O&M costs that do not vary with the level of generation,
e.g., labor costs and capital expenditures for maintenance. In post-compliance scenarios, fixed O&M
costs also include annualized capital costs of compliance and permitting costs.
Capital Costs - The cost of construction, equipment, and capital. Capital costs are associated with
investment in new equipment, e.g., the replacement of a boiler or condenser, installation of technologies
to meet the requirements of air regulations, or the repowering of a plant.
B5A-2 ECONOMIC IMPACT ANALYSIS METHODOLOGY
The outputs presented in the previous section were used to identify changes to economic and operational
characteristics such as capacity, generation, revenue, cost of generation, and electricity prices associated with
Option 6. EPA developed impact measures at two analytic levels: (1) the market as a whole, including all
facilities and (2) the subset of facilities potentially subject to Phase III regulation. Both analyses were conducted
by NERC region. The following subsections describe the impact measures used for the two levels of analysis.
B5A-2.1 Market-level Impact Measures
The market-level analysis evaluates regional changes as a result of Option 6. Seven main measures are analyzed:
*• (1) Changes in available capacity: This measure analyzes changes in the capacity available to generate
electricity. A long-term reduction in availability may be the result of partial or full closures of plants
subject to Phase III regulation. In the short term, temporary plant shut-downs for the installation of Phase
III compliance technologies may lead to reductions in available capacity.12 When analyzing changes in
12 Such short-term capacity reductions would not be expressed as changes in available capacity but might affect electricity
generation, production costs, and/or prices.
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§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
available capacity, EPA distinguished between existing capacity, new capacity additions, and
repowering additions. Under this measure, EPA also analyzed capacity closures. Only capacity that is
projected to remain operational in the base case but is closed in the post-compliance case is considered a
closure as the result of the analyzed option. An option may result in partial (i.e., unit) or full plant
closures. An option may also result in avoided closures if a facility's compliance costs are low relative to
other affected facilities. An avoided closure is a unit or plant that would close in the base case but
operates in the post-compliance case.
*• (2) Changes in the price of electricity: This measure considers changes in regional prices as a result of
Phase III regulation. In the long term, electricity prices may change as a result of increased production
costs of the potential Phase III facilities. In the short-term, price increases may be higher if large power
plants have to temporarily shut down to construct and/or install Phase III compliance technologies. This
analysis considers changes in both energy prices and capacity prices.
*• (3) Changes in generation: This measure considers the amount of electricity generated. At a regional
level, long-term changes in generation may be the result of plant closures or a change in the amount of
electricity traded between regions. In the short term, temporary plant shut-downs to install Phase III
compliance technologies may lead to reductions in generation. At the national level, the demand for
electricity does not change between the base case and the analyzed policy options (generation within the
regions is allowed to vary). However, demand for electricity does vary across the modeling horizon
according to the model's underlying electricity demand growth assumptions.
*• (4) Changes in revenues: This measure considers the revenues realized by all facilities in the market and
includes both energy revenues and capacity revenues (see definition in section B5A-1.4 above). A
change in revenues could be the result of a change in generation and/or the price of electricity.
*• (5) Changes in costs: This measure considers changes in the overall cost of generating electricity,
including fuel costs, variable and fixed O&M costs, and capital costs. Fuel costs and variable O&M
costs are production costs that vary with the level of generation. Fuel costs generally account for the
single largest share of production costs. Fixed O&M costs and capital costs do not vary with generation.
They are fixed in the short-term and therefore do not affect the dispatch decision of a unit (given
sufficient demand, a unit will dispatch as long as the price of electricity is at least equal to its per MWh
production costs). However, in the long-run, these costs need to be recovered for a unit to remain
economically viable.
*• (6) Changes in pre-tax income: Pre-tax income is defined as total revenues minus total costs and is an
indicator of profitability. Pre-tax income may decrease as a result of reductions in revenues and/or
increases in costs.
*• (7) Changes in variable production costs per MWh: This measure considers the regional change in
average variable production cost per MWh. Variable production costs include fuel costs and other
variable O&M costs but exclude fixed O&M costs and capital costs. Production cost per MWh is a
primary determinant of how often a power plant's units are dispatched. This measure presents similar
information to total fuel and variable O&M costs under measure (5) above, but normalized for changes in
generation.
B5A-2.2 Facility-level Impact Measures (Potential Phase III Facilities Only)
EPA used the IPM® results to analyze impacts on potential Phase III facilities at two levels: (1) changes in the
economic and operational characteristics of the potential Phase III facilities as a group and (2) changes to
individual facilities within the group of potential Phase III facilities.
a. Potential Phase III facilities as a group
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§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
The analysis of the potential Phase III facilities as a group is largely similar to the market-level analysis described
in Section B5A-2.1 above, except that the base case and policy option totals only include the economic activities
of the 111 potentially regulated Phase III facilities represented by the model. In addition, a few measures differ:
(1) new capacity additions and prices are not relevant at the facility level, (2) the number of potential Phase III
facilities that experience closure of all their steam electric capacity is presented, and (3) repowering changes are
not explicitly analyzed at the facility level. Following are the measures evaluated for the group of potential Phase
III facilities:
*• (1) Changes in available capacity: This measure considers the capacity available at the 111 potentially
regulated Phase III facilities. A long-term reduction in availability may be the result of partial or full
plant closures, a change in the decision to repower, or a change in the choice of air pollution control
technologies. In the short term, temporary plant shut-downs for the installation of Phase III compliance
technologies may lead to reductions in available capacity.13 Under this measure, EPA also analyzed
regulatory closures. Only capacity that is projected to remain operational in the base case but is closed
in the post-compliance case is considered a closure as the result of the rule. An option may result in
partial (i.e., unit) or full plant closures. An option may also result in avoided closures if a facility's
compliance costs are low relative to other affected facilities. An avoided closure is a unit or plant that
would close in the base case but operates in the post-compliance case. At the facility-level, both the
number of full regulatory closure facilities and closure capacity are analyzed.
*• (2) Changes in generation: This measure considers the generation at the 111 potential Phase III facilities.
Long-term changes in generation may be the result of a reduction in available capacity (see discussion
above) or the less frequent dispatch of a plant due to higher production cost as a result of the policy
option. In the short term, temporary plant shut-downs may lead to reductions in generation at some of the
111 potential Phase III facilities. For some 316(b) facilities, Phase III regulation may lead to an increase
in generation if their compliance costs are low relative to other affected facilities.
*• (3) Changes in revenues: This measure considers the revenues realized by the 111 potential Phase III
facilities and includes both energy revenues and capacity revenues (see definition in section B5A-1.4
above). A change in revenues could be the result of a change in generation and/or the price of electricity.
For some 316(b) facilities, Phase III regulation may lead to an increase in revenues if their generation
increases as a result of the rule, or if the rule leads to an increase in electricity prices.
*• (4) Changes in costs: This measure considers changes in the overall cost of generating electricity for the
111 Phase III facilities, including fuel costs, variable and fixed O&M costs, and capital costs. Fuel costs
and variable O&M costs are production costs that vary with the level of generation. Fuel costs generally
account for the single largest share of production costs. Fixed O&M costs and capital costs do not vary
with generation. They are fixed in the short-term and therefore do not affect the dispatch decision of a
unit (given sufficient demand, a unit will dispatch as long as the price of electricity is at least equal to its
per MWh production costs). However, in the long-run, these costs need to be recovered for a unit to
remain economically viable.
*• (5) Changes in pre-tax income: Pre-tax income is defined as total revenues minus total costs and is an
indicator of profitability. Pre-tax income may decrease as a result of reductions in revenues and/or
increases in costs.
*• (6) Changes in variable production costs per MWh: This measure considers the plant-level change in the
average annual variable production cost per MWh. Variable production costs include fuel costs and other
variable O&M costs but exclude fixed O&M costs and capital costs.
b. Individual Phase III facilities
13 Such short-term capacity reductions would not be expressed as changes in available capacity but might affect electricity
generation, production costs, and/or prices.
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§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
To assess potential distributional impacts among individual Phase III facilities, EPA analyzed facility-specific
changes to a number of key measures. For each measure, EPA determined the number of potential Phase III
facilities that experience an increase or a reduction, respectively, within three ranges: 1% or less, 1 to 3%, and
more than 3%. EPA conducted this analysis for the following measures:
*• (1) Changes in capacity utilization: Capacity utilization is defined as a unit's actual generation divided
by its potential generation, if it ran 100% of the time (i.e., generation / (capacity * 365 days * 24 hours)).
This measure indicates how frequently a unit is dispatched and earns energy revenues for its owner.
*• (2) Changes in generation: See explanation in subsection a. above.
*• (3) Changes in revenues: See explanation in subsection a. above.
*• (4) Changes in variable production costs per MWh: See explanation in subsection a. above.
*• (5) Changes in fuel costs per MWh: See explanation in subsection a. above.
*• (6) Changes in pre-tax income: See explanation in subsection a. above.
B5A-3 ANALYSIS RESULTS FOR OPTION 6
The remainder of this section presents the results of the economic impact analysis of Option 6 for the ten NERC
regions modeled by the IPM®. Analyzed characteristics include changes in electricity prices, capacity, generation,
revenue, cost of generation, and income. These changes were identified by comparing outcomes in the post-
compliance scenario with outcomes in the base case. Because of the interrelationships between the final Phase II
rule (promulgated in July 2004) and regulation of potential Phase III facilities, EPA developed two base cases for
this analysis: the first base case (referred to as Base Case 1) models operational characteristics of the electricity
market in the absence of any section 316(b) rulemaking (i.e., pre-Phase II regulation); the second base case
(referred to as Base Case 2) models operational characteristics of the electricity market including compliance
costs of the final Phase II rule (but pre-Phase III regulation). Results are presented at the market level and the
Phase III facility level.
For the market-level analysis of Option 6, EPA compared the post-compliance scenario (after the implementation
of Phase III compliance requirements) with Base Case 2 (including Phase II compliance costs). This comparison
allows EPA to identify the incremental market-level effects of Phase III requirements, beyond the effects of Phase
II regulation. In contrast, for the analysis of facilities subject to Phase III regulation, EPA compared the post-
compliance scenario with Base Case 1 (excluding Phase II compliance costs). This comparison was done to
determine the "true" effect of Phase III regulation, net of any temporary effects that might be introduced as the
result of the staggering of the three section 316(b) phases. Because Phase II facilities have to comply before
Phase III facilities (on average by two years), Phase III facilities may experience a short-term competitive
advantage during the time when Phase II facilities incur section 316(b) compliance costs while Phase III facilities
do not. The post-compliance economic performance of Phase III facilities should not be compared to this
potential short-term improvement in operating characteristics but to their steady-state, pre-section 316(b)
rulemaking economic condition.
The following subsections present the market-level analysis (including all facilities, by NERC region) and the
facility-level analysis (including analyses of the in-scope Phase III facilities as a group and of individual Phase III
facilities). The results are presented using data from model run year 2013. It should be noted that the results
presented in this section are based on Option 6; EPA did not conduct an IPM® analysis for the other options
considered for this proposal. Since Option 6 is the most inclusive and costly of any of the considered options, the
results represent the upper bound estimate of potential economic impacts as a result of proposed Phase III
regulation. And, as noted above, none of the three proposed options would apply national categorical
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§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
requirements to any electric generating facilities; thus the proposed options have no effects to be considered in an
IPM® analysis.
B5A-3.1 Market Analysis for 2013
This section presents the results of the IPM® analysis for all facilities modeled by the IPM®. The market-level
analysis includes results for all generators located in each NERC region including facilities that are potentially
subject to Phase III regulation and facilities that are not subject to Phase III regulation.
Table B5A-4 presents the market-level impact measures discussed in section B5A-2.1 above: (1) capacity
changes, including changes in existing capacity, new additions, repowering additions, and closures; (2) electricity
price changes, including changes in energy prices and capacity prices; (3) generation changes; (4) revenue
changes; (5) cost changes, including changes in fuel costs, variable O&M costs, fixed O&M costs, and capital
costs; (6) changes in pre-tax income; and (7) changes in variable production costs per MWh of generation. For
each measure, the table presents the results for Base Case 2 and Option 6, the absolute difference between the two
cases, and the percentage difference.
Table B5A-4: Market-Level Impacts of Option 6 (by NERC Region; 2013)
Economic Measures
Base Case 2
Option 6 Difference % Change
National Totals
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
992,564
944,254
38,766
9,544
23,213
n/a
n/a
4,592,198
$181,098
$112,839
$64,060
$8,393
$35,689
$4,696
$68,259
$15.78
992,549
944,168
39,008
9,373
23,386
n/a
n/a
4,592,191
$181,026
$112,863
$64,075
$8,394
$35,692
$4,702
$68,164
$15.78
(15)
(86)
241
(171)
173
n/a
n/a
(7)
($72)
$23
$14
$1
$3
$5
($95)
$0.00
0.0%
0.0%
0.6%
(1.8)%
0.7%
n/a
n/a
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
(0.1)%
0.0%
East Central Area Reliability Coordination Agreement (ECAR)
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
129,375
127,266
2,109
0
1,699
$28.81
$59.50
711,535
$28,304
129,381
127,264
2,117
0
1,703
$28.81
$59.55
711,438
$28,313
6
(3)
8
0
4
$0.01
$0.05
(97)
$9
0.0%
0.0%
0.4%
0.0%
0.2%
0.0%
0.1%
0.0%
0.0%
B5A-12
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5A-4: Market-Level Impacts of Option 6 (by NERC Region; 2013)
Economic Measures
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
Base Case 2
$15,091
$8,423
$1,703
$4,471
$494
$13,213
$14.23
Electric Reliability Council of Texas
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
88,456
80,603
6,622
1,231
178
$39.84
$14.69
343,397
$14,972
$10,490
$6,834
$698
$2,309
$649
$4,481
$21.93
Option 6 Difference
$15,086
$8,423
$1,702
$4,471
$491
$13,226
$14.23
(ERCOT)
88,456
80,722
6,966
768
291
$41.91
$5.48
343,397
$14,873
$10,504
$6,844
$700
$2,311
$650
$4,369
$21.97
($4)
$0
($1)
$0
($3)
$14
$0.00
0
119
345
(463)
113
$2.07
($9.21)
0
($98)
$14
$10
$2
$2
$1
($112)
$0.03
% Change
0.0%
0.0%
(0.1)%
0.0%
(0.6)%
0.1%
0.0%
0.0%
0.1%
5.2%
(37.6)%
63.4%
5.2%
(62.7)%
0.0%
(0.7)%
0.1%
0.1%
0.2%
0.1%
0.1%
(2.5)%
0.2%
Florida Reliability Coordinating Council (FRCC)
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
56,655
52,822
1,463
2,370
145
$34.46
$50.55
231,180
$10,831
$7,173
$4,633
$432
$1,870
$238
$3,658
56,655
52,676
1,316
2,662
145
$34.43
$50.82
231,180
$10,838
$7,177
$4,634
$432
$1,868
$243
$3,661
0
(146)
(146)
292
0
($0.04)
$0.28
0
$7
$4
$1
$0
($1)
$5
$3
0.0%
(0.3)%
(10.0)%
12.3%
0.0%
(0.1)%
0.5%
0.0%
0.1%
0.1%
0.0%
0.0%
(0.1)%
2.1%
0.1%
B5A-13
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5A-4: Market-Level Impacts of Option 6 (by
Economic Measures
(7) Variable Production Costs ($/MWh)
NERC Region; 2013)
Base Case 2 Option 6 Difference % Change
$21.91
$21.91
$0.00
0.0%
Mid-Atlantic Area Council (MAAC)
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
70,973
68,977
1,997
0
949
$31.55
$44.06
314,261
$13,039
$8,131
$3,744
$537
$3,619
$230
$4,908
$13.62
70,973
68,977
1,997
0
949
$31.56
$44.06
314,253
$13,044
$8,131
$3,744
$537
$3,619
$230
$4,913
$13.62
0
0
0
0
0
$0.01
$0.01
(8)
$5
$0
$0
$0
$0
$0
$5
$0.00
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
Mid-America Interconnected Network (MAIN)
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
69,770
67,013
2,757
0
0
$27.09
$51.01
332,292
$12,556
$7,690
$3,405
$544
$3,424
$317
$4,866
$11.88
69,770
67,013
2,757
0
0
$27.09
$51.05
332,359
$12,561
$7,692
$3,406
$544
$3,425
$317
$4,870
$11.88
0
0
0
0
0
$0.00
$0.04
68
$5
$2
$1
$0
$1
$0
$3
$0.00
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
Mid-Continent Area Power Pool (MAPP)
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
37,368
37,336
32
0
37,368
37,336
32
0
0
0
0
0
0.0%
0.0%
0.0%
0.0%
B5A-14
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5A-4: Market-Level Impacts of Option 6 (by NERC Region; 2013)
Economic Measures
(Id) Closures
(2a) Energy Prices ($2003MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
Base Case 2
0
$25.58
$40.39
190,058
$6,404
$3,884
$1,968
$370
$1,541
$5
$2,520
$12.30
Northeast Power Coordinating Council
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
77,994
74,198
3,586
210
3,531
$34.95
$30.21
306,579
$13,053
$9,535
$5,248
$439
$3,426
$422
$3,518
$18.55
Option 6 Difference % Change
0
$25.58
$40.42
190,058
$6,406
$3,885
$1,968
$370
$1,542
$5
$2,521
$12.30
(NPCC)
77,982
74,151
3,621
209
3,578
$34.95
$30.21
306,608
$13,054
$9,538
$5,248
$439
$3,426
$424
$3,516
$18.55
0
$0.00
$0.03
0
$2
$1
$0
$0
$1
$0
$1
$0.00
(12)
(47)
35
0
47
$0.00
$0.00
30
$1
$3
$0
$0
$0
$3
($2)
$0.00
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
(0.1)%
1.0%
(0.1)%
1.3%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.6%
0.0%
0.0%
Southeastern Electric Reliability Council (SERC)
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (Gwh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
218,915
207,416
11,499
0
8,824
$30.48
$47.76
1,065,456
$42,915
$25,995
218,915
207,416
11,499
0
8,824
$30.47
$47.77
1,065,456
$42,912
$25,997
0
0
0
0
0
$0.00
$0.01
0
($3)
$2
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
B5A-15
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5A-4: Market-Level Impacts of Option 6 (by NERC Region; 2013)
Economic Measures
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
Base Case 2 Option 6 Difference % Change
$14,586
$1,839
$8,468
$1,102
$16,921
$15.42
$14,588
$1,839
$8,468
$1,102
$16,915
$15.42
$2
$0
$0
$0
($6)
$0.00
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
Southwest Power Pool (SPP)
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/Mwh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
57,806
57,806
0
0
179
$28.05
$13.96
239,392
$7,520
$5,505
$3,582
$472
$1,444
$8
$2,015
$16.93
Western Electricity Coordinating Council
(1) Total Domestic Capacity (MW)
(la) Existing
( Ib) New Additions
(Ic) Repowering Additions
(Id) Closures
(2a) Energy Prices ($2003/MWh)
(2b) Capacity Prices ($2003/KW/yr)
(3) Generation (GWh)
(4) Revenues (Millions; $2003)
(5) Costs (Millions; $2003)
(5a) Fuel Cost
(5b) Variable O&M
(5c) Fixed O&M
(5d) Capital Cost
(6) Pre-Tax Income (Millions; $2003)
(7) Variable Production Costs ($/MWh)
185,252
170,817
8,702
5,733
7,708
$32.62
$20.37
858,050
$31,504
$19,346
$11,638
$1,360
$5,116
$1,232
$12,158
$15.15
57,797
57,797
0
0
188
$28.05
$13.97
239,392
$7,521
$5,506
$3,583
$472
$1,443
$8
$2,015
$16.94
(WECC)
185,252
170,817
8,702
5,733
7,708
$32.62
$20.37
858,050
$31,504
$19,347
$11,638
$1,360
$5,117
$1,232
$12,157
$15.15
(9)
(9)
0
0
9
$0.00
$0.01
0
$1
$1
$1
$0
$0
$0
$0
$0.00
0
0
0
0
0
$0.00
$0.00
0
$0
$1
$0
$0
$1
$0
($1)
$0.00
0.0%
0.0%
0.0%
0.0%
5.0%
0.0%
0.1%
0.0%
0.0%
0.0%
0.0%
(0.1)%
0.0%
(1.9)%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
B5A-16
-------
§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
Table B5A-4: Market-Level Impacts of Option 6 (by NERC Region; 2013)
Economic Measures Base Case 2 Option 6 Difference % Change
Source: IPM® Analysis: Model runs for Section 316(b) Base Case 2 and Option 6.
Summary of Market Results at the National Level.
The results presented in Table B5A-4 show that capacity closures are estimated to increase by 173 MW, which
represents 0.7% of total baseline capacity. Repowering additions are estimated to experience a net decrease of
171 MW or 1.8%. However, an estimated increase of 241 MW in new additions would offset the lost capacity.
Total costs of electricity generation would not change, but capital costs are estimated to rise by 0.1%. All other
measures are estimated to change by less than 1%.
Summary of Market Results at the Regional Level. At the regional level, Option 6 is estimated to result in the
following changes:
*• ERCOT is estimated to experience the most notable changes in electricity prices, repowering additions,
new capacity, and closures among the ten NERC regions. Energy prices increase by $2.07/MWh, which
represents a 5.2% increase. Capacity prices decrease by $9.21/KW/year, or approximately 63%. This is
partially due to the increase in energy prices, which allows facilities to bid their undispatched capacity at
a lower price. This may also be, in part, due to an increase of 345 MW of new additions. The increased
new additions are offset by a large decrease in repowering additions (463 MW, or 37.6%). Capacity
closures increase by 113 MW. However, these closures occur in facilities that do not fall under Phase III
regulation. While not subject to regulation these generators retire because there is a decrease in the
capacity price they are able to receive for existing capacity. As a result of lower capacity prices, pre-tax
income is also estimated to decrease in ERCOT (2.5%). All other measures are predicted to change by
less than 1%.
> FRCC is the only region estimated to experience a reduction in new additions (146 MW, or 10%). It is
also estimated to lose 146 MW of existing capacity. A projected 292 MW increase in repowering,
however, would completely offset these reductions. FRCC is estimated to have an increase in capacity
prices and a decrease in energy prices. However, both changes are less than 1%. All other measures are
also estimated to change by less than 1%.
»• SPP and NPCC are the only regions that are estimated to experience an increase in post-compliance
capacity closures. In SPP, the 9 MW increase in closures (5% of Base Case 2 capacity) is due to the
partial retirement of a potential Phase III facility. In NPCC, the 47 MW increase in closures (1.3% of
Base Case 2 capacity) is the result of combination of partial facility closures and an avoided partial
facility closure. Specifically, three facilities (two potential Phase III and one Phase II) retire 73 MW of
capacity while one potential Phase III facility opts to keep 26 MW of capacity on-line which was retired
under the baseline. The net result of these changes is a 47 MW increase in closures. There are no
additional changes in capacity in SPP. However, NPCC is estimated to have an additional 35 MW of new
additions. The changes in all other measures are less than 1%.
*• ECAR is estimated to have the largest decrease in generation (97 GWh). However, this decrease is
negligible in comparison to total base case generation (less than 0.1%). Overall capacity (6 MW), new
additions (8 MW), and closures (4 MW, all of which is potential Phase III capacity) increase slightly.
Capacity prices also increase slightly (0.1%), as does pre-tax income (0.1%). All other measures do not
change.
»• MAAC, MAIN, MAPP, SERC, and, WECC are not estimated to have any significant impacts for any
of the measures analyzed. There are no changes in capacity for each region; there is no new or repowered
capacity, and there are no additional closures as a result of Option 6. MAAC is estimated to have a slight
increase in energy prices. Energy prices remain constant in each of the other regions. Each region except
B5A-17
-------
§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
WECC experiences a slight increase in capacity prices (on average 0.1%). Generation, revenue, and costs
are not expected to significantly change for any region. MAAC and MAIN are estimated to have a 0.1%
increase in pre-tax income.
B5A-3.2 Analysis of Potential Phase III Facilities for 2013
This section presents the results of the IPM® analysis for facilities that are potentially subject to Phase III
regulation and that are modeled by the IPM®. Four of the 111 potential Phase III facilities are closures in Base
Case 1, and five facilities are closures under Option 6. These facilities are not represented in the results described
in this section.
EPA used the IPM® results from model run year 2013 to analyze impacts on potential Phase III facilities at two
levels: (1) changes in the economic and operational characteristics of the potential Phase III facilities as a group
and (2) changes to individual facilities within the group of potential Phase III facilities.
a. Potential Phase III facilities as a group
This section presents the analysis of the impacts of Option 6 on the potential Phase III facilities as a group. This
analysis is similar to the market-level analysis described above but is limited to facilities subject to the national
requirements of Option 6. Table B5A-5 presents the impact measures for the group of potential Phase III
facilities discussed in section B5A-3.2 above: (1) capacity changes, including changes in the number and capacity
of closure facilities; (2) generation changes; (3) revenue changes; (4) cost changes, including changes in fuel
costs, variable O&M costs, fixed O&M costs, and capital costs; (5) changes in pre-tax income; and (6) changes in
variable production costs per MWh of generation, where variable production cost is defined as the sum of fuel
cost and variable O&M cost. For each measure, the table presents the results for the Base Case 1 and Option 6,
the absolute difference between the two cases, and the percentage difference.
Two points should be kept in mind when interpreting these results:
*• The percentage changes are calculated relative to baseline values of potential Phase III facilities in each
region. In some regions, very few facilities are potentially subject to Phase III regulation. If these percentage
changes were calculated relative to the total for all electric power facilities in each region, the observed
percentage changes would be much smaller.
*• The post-compliance scenario reflects compliance costs of both Phase II and Phase III regulation, while the
base case reflects conditions before either Phase II or Phase III regulation. While Phase II compliance costs
do not directly affect the analyzed measures for potential Phase III facilities, they do have an indirect effect
on all facilities within the NERC region, through potential increases in electricity prices and changes in fuel
demand. As a result, measures such as changes in variable production cost/MWh and pre-tax income might
be influenced by Phase II compliance costs, rather than Phase III regulation.
B5A-18
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5A-5: Facility-Level Impacts of Option 6 (by NERC Region; 2013)
Economic Measures
Base Case 1
Option 6
Difference
% Change
National Totals
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
62,075
3
1,047
409,687
$14,165
$8,500
$4,798
$1,129
$2,406
$168
$5,664
$14.47
62,157
4
964
408,609
$14,104
$8,468
$4,761
$1,127
$2,412
$168
$5,637
$14.41
0
1
(82)
(1,078)
($60)
($33)
($37)
($2)
$6
$0
($28)
($0.06)
0.1%
33.3%
(7.8)%
(0.3)%
(0.4)%
(0.4)%
(0.8)%
(0.2)%
0.2%
0.2%
(0.5)%
(0.4)%
East Central Area Reliability Coordination Agreement (ECAR)
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
11,536
0
0
83,922
$3,042
$1,601
$907
$233
$386
$74
$1,441
$13.59
Electric Reliability Council of Texas
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
3,900
0
0
16,418
$684
$445
$246
$65
$123
$11
$239
$18.94
11,532
0
4
83,922
$3,039
$1,601
$907
$233
$387
$74
$1,438
$13.59
(ERCOT)
3,900
0
0
16,482
$657
$448
$249
$65
$123
$11
$209
$19.04
(4)
0
4
0
($3)
$1
$0
$0
$1
$0
($4)
$0.00
0
0
0
64
($27)
$3
$3
$0
$0
$0
($30)
$0.10
0.0%
0.0%
n/a
0.0%
(0.1)%
0.0%
0.0%
0.0%
0.2%
0.0%
(0.3)%
0.0%
0.0%
0.0%
0.0%
0.4%
(3.9)%
0.7%
1.0%
0.5%
0.1%
3.1%
(12.7)%
0.5%
Florida Reliability Coordinating Council (FRCC)
B5A-19
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5A-5: Facility-Level Impacts of Option 6 (by
Economic Measures
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
NERC Region; 2013)
Base Case 1 Option 6 Difference % Change
2,447
0
0
13,227
$577
$317
$200
$36
$81
$0
$260
$17.85
2,447
0
0
12,714
$555
$300
$183
$36
$81
$0
$255
$17.21
0
0
0
(513)
($22)
($17)
($17)
($1)
$0
$0
($5)
($0.65)
0.0%
0.0%
0.0%
(3.9)%
(3.8)%
(5.5)%
(8.4)%
(1.7)%
0.0%
0.0%
(1.8)%
(3.6)%
Mid-Atlantic Area Council (MAAC)
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
6,420
0
0
41,996
$1,515
$813
$439
$118
$232
$24
$702
$13.27
6,420
0
0
41,996
$1,529
$812
$438
$118
$232
$24
$717
$13.25
0
0
0
0
$14
($1)
($1)
$0
$0
$0
$15
($0.02)
0.0%
0.0%
0.0%
0.0%
0.9%
(0.1)%
(0.2)%
0.0%
0.0%
0.0%
2.1%
(0.2)%
Mid-America Interconnected Network (MAIN)
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
3,234
0
0
22,247
$778
$443
$267
$56
$95
$25
$335
$14.54
3,234
0
0
22,247
$777
$444
$267
$56
$96
$25
$333
$14.54
0
0
0
0
($1)
$1
$0
$0
$1
$0
($2)
$0.00
0.0%
0.0%
0.0%
0.0%
(0.1)%
0.2%
0.0%
0.0%
0.8%
0.0%
(0.6)%
0.0%
Mid-Continent Area Power Pool (MAPP)
(1) Total Domestic Capacity (MW)
4,379
4,379
0
0.0%
B5A-20
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5A-5: Facility-Level Impacts of Option 6 (by NERC Region; 2013)
Economic Measures
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
Base Case 1
0
0
30,897
$955
$687
$342
$83
$263
$0
$268
$13.73
Northeast Power Coordinating Council
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
845
0
112
791
$62
$40
$17
$2
$21
$0
$21
$24.53
Option 6
0
0
30,897
$953
$687
$341
$83
$263
$0
$265
$13.73
(NPCC)
940
1
16
647
$54
$39
$13
$2
$24
$0
$15
$22.77
Difference
0
0
0
($2)
$1
$0
$0
$1
$0
($3)
$0.00
95
1
(95)
(144)
($8)
($1)
($4)
$0
$3
$0
($6)
($1.75)
% Change
0.0%
0.0%
0.0%
(0.2)%
0.1%
0.0%
0.1%
0.3%
0.0%
(1.0)%
0.0%
11.3%
n/a
(85.6)%
(18.2)%
(12.7)%
(3.5)%
(24.8)%
(18.1)%
15.8%
0.0%
(30.3)%
(7.2)%
Southeastern Electric Reliability Council (SERC)
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
11,967
1
207
88,265
$3,104
$1,859
$1,211
$210
$403
$34
$1,245
$16.10
11,967
1
207
88,265
$3,106
$1,857
$1,209
$210
$403
$34
$1,249
$16.08
0
0
0
0
$2
($2)
($2)
$0
$0
$0
$4
($0.02)
0.0%
0.0%
0.0%
0.0%
0.1%
(0.1)%
(0.2)%
0.0%
0.0%
0.2%
0.3%
(0.1)%
Southwest Power Pool (SPP)
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
4,391
0
4,382
0
(9)
0
(0.2)%
0.0%
B5A-21
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1
to Chapter B 5
Table B5A-5: Facility-Level Impacts of Option 6 (by NERC Region; 2013)
Economic Measures
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
Base Case 1 Option 6 Difference % Change
0
14,995
$457
$381
$211
$41
$129
$0
$76
$16.81
Western Electricity Coordinating Council
(1) Total Domestic Capacity (MW)
(la) Closures - Number of Facilities
(Ib) Closures - Capacity (MW)
(2) Generation (GWh)
(3) Revenues (Millions; $2003)
(4) Costs (Millions; $2003)
(4a) Fuel Cost
(4b) Variable O&M
(4c) Fixed O&M
(4d) Capital Cost
(5) Pre-Tax Income (Millions; $2003)
(6) Variable Production Costs ($2003/MWh)
12,956
2
728
96,928
$2,992
$1,916
$957
$284
$674
$0
$1,077
$12.81
9
14,510
$441
$364
$196
$40
$129
$0
$77
$16.22
(WECC)
12,956
2
728
96,928
$2,995
$1,916
$957
$284
$675
$0
$1,079
$12.81
9
(485)
($15)
($17)
($15)
($1)
$0
$0
$1
($0.59)
0
0
0
0
$2
$0
$0
$0
$0
$0
$2
$0.00
n/a
(3.2)%
(3.4)%
(4.4)%
(7.2)%
(3.4)%
(0.1)%
0.0%
1.7%
(3.5)%
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
0.0%
Source: IPM® analysis: Model runs for Section 316(b) Base Case 1 and Option 6.
Summary of Potential Phase III Facility Results at the National Level. The results presented in Table B5 A-5
show that Option 6 would lead to one facility closure, and 82 MW (0.1% of Base Case 1 capacity) of avoided
capacity closures. This outcome is the net result of two avoided partial facility closures (potential Phase III
facilities with relatively low compliance costs that become more competitive relative to facilities with which they
compete), one full policy closure, and two partial policy closures. It should be noted that all four facilities
estimated to experience partial or full closures under Option 6 did not generate any electricity under Base Case 1.
All four facilities are oil and gas-fueled facilities that served only reliability purposes. In addition, generation,
revenues, and overall costs would all decrease under Option 6 but by less than 1%. Fixed O&M costs, which
include the capital cost of compliance, are projected to increase by 0.2%. Pre-tax income for the group of
potential Phase III facilities would decrease by 0.5%.
Summary of Potential Phase III Facility Results at the Regional Level. Results vary somewhat by region. For
many regions, impacts follow the general pattern described in the comparison to the market level above:
generation, revenues, and pre-tax income decrease. Overall costs decrease in many regions due to lower levels of
generation but increase in other regions where the additional compliance costs outweigh the reduction in
generation. In addition to these general patterns, EPA estimates that Option 6 would result in the following
changes:
*• NPCC is the only region estimated to experience an increase in total capacity, gaining 95 MW (11.3% of
Base Case 1 capacity) under Option 6. This outcome is the net result of two avoided partial facility
B5A-22
-------
§ 316(b) Proposed Rule: Phase III — EA, Part B: Economic Analysis for Existing Facilities Appendix 1 to Chapter B5
closures, and one full policy closure. Potential Phase III facilities in NPCC are estimated to experience
the largest relative reductions in generation and revenues of any NERC region (18.2% and 12.7%,
respectively). The reduction in generation is attributable to two facilities that are projected to experience
an increase in variable production costs. All potential Phase III facilities in NPCC are estimated to
experience at least some reduction in revenues due to the estimated decrease in capacity prices (see Table
B5A-4). Potential Phase III facilities in NPCC are also estimated to experience the largest relative
reduction in pre-tax income (30.3%) of any region. Though the aforementioned changes are significant
on percentage basis, they are relatively minor in absolute terms and consistent with the changes seen in
the other regions. The only measure for which NPCC experiences the largest change on both a
percentage basis and in absolute value is variable production costs.
*• ECAR and SPP are the only regions projected to experience a net reduction in capacity due to Option 6.
In ECAR 4 MW are estimated to retire, or less than 0.1% of ECAR's Base Case 1 capacity. In SPP 9
MW are estimated to retire, or 0.2% of SPP's Base Case 1 capacity. Neither region experiences changes
in generation as a result of these partial closures. In addition, none of the 13 MW of retired capacity were
dispatched under the Base Case 1.
*• ERCOT is the only region projected to experience an increase in Phase III generation under Option 6,
gaining 64 GWh, or 0.4%. However, potential Phase III facilities in ERCOT are also estimated to see the
largest reductions in revenues ($27 million) and pre-tax incomes ($30 million). Revenues decrease even
though generation in the region increases due to the large drop in capacity prices (see Table B5A-4).
Specifically, the projected $93 million increase in energy revenues are offset by the projected $120
million decrease in capacity revenues.
*• Potential Phase III facilities in FRCC are estimated to experience a 513 GWh reduction in generation
(3.9%) due to Option 6. As a result, revenues decrease in by 3.8%, fuel costs decrease by 8.4%, and
variable O&M costs decrease 1.7%.
> MAAC, MAIN, and MAPP, SERC and WECC are estimated to experience relatively small changes in
pre-tax income (between -1.0% and 2.1%). The changes in all other measures are less than 1% in these
regions.
b. Individual facilities potentially subject to Phase III regulation
In addition to the effects of Option 6 on potential Phase III facilities as a group, there may be shifts in economic
performance among individual facilities potentially subject to Phase III regulation. To assess such potential
shifts, EPA analyzed facility-specific changes in (1) capacity utilization (defined as generation divided by
capacity multiplied by the number of hours per year - 8,760); (2) generation; (3) revenues; (4) variable production
costs per MWh of generation (defined as variable O&M cost plus fuel cost divided by generation); (5) fuel cost
per MWh of generation; and (6) pre-tax income. For each measure, EPA determined the number of potential
Phase III facilities that experience no changes, or an increase or a reduction within three ranges: 1% or less, 1 to
3%, and more than 3%.
Table B5A-6 presents the total number of potential Phase III facilities with different estimated degrees of change
due to Option 6. This table excludes four facilities with estimated significant status changes in 2013: three
facilities are baseline closures, and one facility is a full closure as a result of Option 6. These facilities are either
not operating at all in either Base Case 1 or the post-compliance case, or they experience fundamental changes in
the type of units they operate; therefore, the measures presented in Table B5A-6 would not be meaningful for
these facilities. In addition, the change in variable production cost per MWh of generation could not be
developed for six facilities with zero generation in either Base Case 1 or the post-compliance scenario. For these
facilities, the change in variable production cost per MWh is indicated as "n/a."
B5A-23
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5A-6: Number of Potential Phase III Facilities with Operational Changes (2013)
(1) Change in Capacity Utilization
(2) Change in Generation
(3) Change in Revenues
(4) Change in Variable Production
Costs/MWh
(5) Change in Fuel Costs/MWh
(6) Change in Pre-Tax Income
Reduction
= 1%
0
0
42
15
16
29
1-3%
0
0
2
2
2
8
>3%
8
8
15
1
1
32
Increase
= 1%
0
0
9
16
10
13
1-3% :
0
0
4
0
1
10
>3%
4
4
4
1
1
1
No
Change
95
95
31
66
70
14
N/A
0
0
0
6
6
0
a For all measures percentages used to assign facilities to impact categories have been rounded to the nearest 1 Oth of a percent.
b The change in capacity utilization is the difference between the capacity utilization percentages in the base case and post-
compliance case. For all other measures, the change is expressed as the percentage change between the base case and post-
compliance values.
Source: Model runs for Section 316(b) Base Case 1 and Option 6.
Table B5A-6 indicates that the majority of potential Phase III facilities would not experience changes in capacity
utilization, generation, fuel costs per MWh, or variable production costs per MWh due to compliance with Option
6. Of those facilities with changes in post-compliance capacity utilization, generation, fuel costs per MWh, and
variable production costs per MWh, most would experience decreases in these measures. Changes in revenues at
most potential Phase III facilities would also not exceed 1.0%. The largest effect of Option 6 would be on
facilities' pre-tax income: about 64% of facilities would experience a reduction in pre-tax income, with 30%
experiencing a reduction of 3% or greater. These reductions are due to a combination of reduced revenues and
increased compliance costs.
B5A-4 SUMMARY IPM®V.2.1.6 UPDATES
Table B5AA-1 below presents a summary of the series of updates that were incorporated in EPA modeling
applications using the Integrated Planning Model (IPM®) in the Spring of 2003. Designated Version 2.1.6, the
latest available data were used to update key model parameters in the EPA Base Case and associated policy cases
in preparation for performing analyses in conjunction with Congressional consideration of the Administration's
Clear Skies Initiative.
This table and its accompanying report, Documentation Supplement for EPA Modeling Applications (V.2.1.6)
Using the Integrated Planning Model (U.S. EPA, 2003), is a supplement to the comprehensive documentation of
EPA's applications of IPM® as reported m Documentation of EPA Modeling Applications (V.2.1) Using the
Integrated Planning Model (U.S. EPA, 2002). The supplementary report consists of the summary table presented
below and a series of attachments providing details of specific updates. To help readers track the parameters that
were updated, Table B5AA-1 contains cross references to the earlier documentation report. Parameters not
included in Table B5AA-1 remained unchanged. Both the supplemental and comprehensive documentation is
available for viewing and downloading at www.epa.gov/airmarkets/epa-ipm.
B5A-24
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5AA-1 Summary Table of IPM® V.2.1.6 Updates
ID
Feature
Description
Doc. Report
Section1
Power System Operations Assumptions
1 Revised aggregation scheme
("Documentation for v.2.1"
refers to the report
Documentation of EPA
Modeling Applications (V.2.1)
Using the Integrated Planning
Model, EPA 430/R-02-004
(March 2002), which is
available for viewing and
downloading at
www.epa.gov/airmarkets/epa-
ipm.
The aggregation scheme was revised to enable modeling emission 3.1
scenarios in geographical areas most likely to be of future interest. Table 4.2.6
A-1 in Attachment A updates the crosswalk between actual and model Appendix A4.1
plants that was previously presented as Table 4.7 in the documentation
for v.2.1. Table A-2 and the accompanying map provides details on the
geographical aggregation scheme used in the v.2.1.6.
Electricity Demand Growth:
@ 1.55% indexed on AEO
2003 electricity sales
projections.
(AEO 2003 refers to Annual
Energy Outlook 2003 with
Projections to 2025,
DOE/EIA-0383(2003),
released by the U.S.
Department of Energy's
Energy Information
Administration on January 9,
2003.)
1. As was done in EPA's previous applications of IPM®, calculations
were performed to account for efficiency improvements not factored into
AEO 2003's projections of electricity sales. This resulted in a 2000-2020
adjusted electricity growth rate of 1.55% per year.
Attachment B provides details.
3.2.1
3.2.2
Appendix A3.1
3
4
5
6
State Multi-Pollutant
Regulations
New Source Review (NSR)
Settlements
State Renewable Energy
Programs
State Renewable Portfolio
Standards (RPS)
Attachment C lists the state multipollutant programs incorporated in
v.2.1.6.
Attachment D shows the settlements under New Source Review
provisions of the Clean Air Act that were included in v. 2. 1 .6.
V. 2. 1 .6 incorporates the capacity shown in Table 76 in the AEO 2003
assumptions document. Entitled "Planned 2002+ U.S. Central Station
Generating Capacity Using Renewable Resources," the table captures the
effects of state renewable energy programs in its projection of both
existing and forecasted renewable capacity. Table 76 appears on pp. 131-
133 of the document "Assumptions for the Annual Energy Outlook
2003," which can be found on the Web at
www.eia.doe.gov/oiaf/aeo/assumption/pdf/0554(2003).pdf
V. 2. 1 .6 does not endogenously model RPS beyond the capacity already
implicit in Table 76 "Planned 2002+ U.S. Central Station Generating
Capacity Using Renewable Resources." (See previous item for
information on locating this table.)
3.9
3.9.3
3.9.4
(Not covered)
3.9.4
(Not covered)
Emission and removal rate
assumptions for potential
units.
The emission and removal rates are the same as in AEO 2003, i.e.,
NOx Rates SO2 Rates
Conventional Pulverized Coal (CPC) 0.11 Ib/mmBtu 95% Removal
Integrated Gasification Combined Cycle
(IGCC) 0.021b/mmBtu 99% Removal
Combined Cycle (CC) 0.02 Ib/mmBtu —
Combustion Turbine (CT) 0.08 Ib/mmBtu —
These differ from the removal rates in v. 2.1 (also called EPA Base Case
2000). See Attachment E for a detailed breakdown of the differences.
3.9.5
B5A-25
-------
§ 316(b) Proposed Rule: Phase III — EA, PartB: Economic Analysis for Existing Facilities
Appendix 1 to Chapter B5
Table B5AA-1 Summary Table of IPM® V.2.1.6 Updates
ID
Feature Description
Doc. Report
Section1
Generating Resources
National Electric
Energy Data System (NEEDS) Changes
4.1
4.2
The following changes were made to NEEDS, the database that serves as the source of all currently
operating and planned/committed units represented in v.2.1.6.
8a
AES Deepwater Unit
The AES Deepwater generating unit in Texas (ID #10670_G_GEN1) was
identified as combusting fossil waste in NEEDS 2000 (used for the EPA
Base Case 2000, v2.1) but as combusting oil in EPA's Emissions and
Generation Resource Integrated Database (EGRID). Further investigation
revealed that this unit burned petroleum coke and some oil. To give a
more accurate representation of its mercury emissions, in v. 2.1.6 the unit
was designated as combusting petroleum coke and assigned a
corresponding mercury emission rate of 23.18 Ib/TBtu (dry).
8b Mercury Emission Rates for
Existing Geothermal Units
Based on recent information obtained by EPA, mercury emission rates
were updated to 2.97 Ibs/TBtu for existing geothermal units in California
and 3.65 Ibs/TBtu for existing geothermal units in the IPM® model region
NWPE. In addition, 29 MW of existing geothermal capacity was
identified in the AZNM model region and 8 MW in the PNW model
region and assigned an emission rate of 3.70 Ibs/TBtu, the same emission
rate as assigned to new potential geothermal units in v.2.1.6. (See item
#10 below.)
8c
8d
Hawthorn Unit 5
This 550 MW coal unit was added to NEEDS, v. 2.1.6.
Updated information on unit
closures
Units that were shown as retired or out of service in 2000 EIA 860a were 4.2
removed from the NEEDS database as part of the v.2.1.6 update. Based
on supplemental information, Ashtabula units 8, 10 and 11, Arapahoe
units 1 and 2, Arkwright units 1-4, 5A, 5B,and Mitchell units 1 and 2
were also removed from the NEEDS population, either because they were
retired or out of service.
8e
8f
Life Extension Costs
A life extension cost of $5/kW-yr is added to every fossil plant that
reaches an age of 30 years. This assumption is based on AEO 2003.
4.2.4 and 4.3.4
SO2, NO^, and Particulate
Controls
The inventory of SO2, NOX, and particulate controls in v.2.1.6 was
derived from U.S. EPA's Emission Tracking System, 2002, Quarter 2,
supplemented by corroborated information obtained from utilities, control
technology vendors, state and regional regulatory agencies, and trade
publications and announcements.
4.2.5
Attachment F shows the inventory of emission controls on existing
generating units that are included in v.2.1.6.
Updated planned/committed
capacity
Existing and planned/committed units in NEEDS 2.1.6 were derived from
the following data sources:
Period Source
1998 and earlier NEEDS 2000
4.3
All planned/committed capacity after 1998 in NEEDS 2000 was removed
and replaced with the following data.
1999-2000 EIA 860, as released in year 2000. EIA 860 shows
operating units for these years.
2001 RDI. (Updated through the July 2002 release of the
RDI database.)
2002-2005 AEO 2003 or RDI. AEO 2003 was used for
renewable (biomass, geothermal, landfill gas, hydro,
pumped storage, solar, and wind) and non-
conventional generating units (fuel cells) due to the
Energy Information Administration's (EIA) extensive
B5A-26
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Appendix 1 to Chapter B5
Table B5AA-1 Summary Table of IPM® V.2.1.6 Updates
ID
Feature
Description
Doc. Report
Section1
research in this area for AEO 2003. The RDI
database (up through the July 2002 release) was used
for conventional generating units (coal steam,
combined cycle turbines, combustion turbines, fossil
and non-fossil waste) since it was more current than
AEO 2003.
Attachment G lists the planned/committed units included in NEEDS 2.1.6
and gives a detailed summary of the data sources used.
Cost and Performance of
Potential (New) Capacity
from Conventional Generating
Units
The cost and performance assumptions for new (potential) conventional
pulverized coal, integrated gasification combined cycle, combined cycle,
advanced combined cycle, and combustion turbine units were updated
based on AEO 2003. See Attachment H for details.
4.4.2
10 Mercury emissions for new
(potential) geothermal units
Based on recent information obtained by EPA, the mercury emission rate
for new (potential) geothermal plants was updated to 3.70 Ibs/TBtu in
v.2.1.6, compared to 4.08 Ibs/TBtu in v.2.1. (See item 8b above for a
description of related updates of the mercury emission rates for existing
geothermal plants.)
4.4.3
5.3.1
Existing Nuclear Units
11 a Cost and performance
1. To provide maximum granularity in forecasting the behavior of
nuclear units, 102 out of the 103 existing nuclear units in v.2.1.6 are
represented by separate model plants. (Note: All nuclear generating
units, except Browns Ferry units 1 and 2 are represented by a separate
model plant. In the v.2.1.6 base case, Browns Ferry Unit 1, which is
projected to be brought out of mothballs, is represented by the same
model plant as Browns Ferry Unit 2. See item lie below for further
details.) In v.2.1, the 103 existing nuclear units were represented by 47
model plants.
2. AEO 2003 cost and performance assumptions were implemented.
These include
(a) Variable operations and maintenance (VOM), fixed operations and
maintenance (FOM), and fuel cost assumptions as in AEO 2003.
Attachment I details the cost assumptions included in v. 2.1.6.
(b) AEO 2003 assumption of cost incurred from age 30, i.e., an addition
of $50/Kw/yr to annual FOM costs starting at age 30.
(c) Availability assumptions are expressed in terms of capacity factors,
which are based on AEO 2003. As in AEO 2003, v. 2.1.6 assumes two
vintages of existing nuclear units, based on whether a unit's start date
occurs before or after 1982. For the older vintage, the capacity factor
increases 0.5 percentage point per year through age 25, stays flat from 25-
40, and then declines by 0.5% point after 40. The capacity factor of a
newer vintage unit increases by 0.7 percentage point per year through age
30, is flat from 30-40, and declines by 0.5% point after age 40. The
maximum capacity factor is assumed to be 90%. Any plant starting with a
capacity factor above 90% just remains at its current level, at least until it
is old enough to start declining.
3. In v.2.1.6 existing nuclear units are constrained to retain the same
retirement pattern as in AEO 2003.
4.5
Appendix 4.4
lib Upratings
All the nuclear capacity uprating assumptions that are in AEO 2003 were 4.5
incorporated in NEEDS 2.1.6. Appendix 4 4
A listing of all upratings appears in Attachment J.
lie Browns Ferry Unit 1
V. 2.1.6 uses the same assumptions about this TVA unit being brought
out of mothballs as in AEO 2003, i.e.,
1. The unit has a zero capacity factor (availability) until 2007. Starting
4.5
Appendix 4.4
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Appendix 1 to Chapter B5
Table B5AA-1 Summary Table of IPM® V.2.1.6 Updates
ID
Feature
Description
Doc. Report
Section1
in 2007, it can operate up to a 75% capacity factor.
2. Like other existing nuclear units its capacity factor grows by 0.7% per
year until it reaches a maximum of 90%.
3. Its costs were assumed to be the same as those for Browns Ferry Unit
2.
Emission Control Technologies
12 Selective Non-Catalytic
Reduction (SNCR) Control of
NOx Emissions
In v. 2.1.6 SNCR is available as an emission control retrofit option for all
coal plants >25 MW and < 200 MW rather than to all plants > 25, as in
v.2.1. In both v.2.1 and v.2.1.6 SNCR is available to all oil/gas steam
units > 25 MW.
5.2.2
13 Gas Rebum Option for NOx
Control at coal fired plants
To reduce model size, this option, which was provided in v 2.1, was not
offered in v2.1.6.
5.2.2
14 Mercury Emission
Modification Factors (EMFs)
Mercury emission modification factors are multipliers that represent the
extent of mercury removal achieved by various configurations of NOX,
SO2 and particulate emission controls at coal fired generating units.
Based on additional information received on the performance of these
controls, mercury EMFs were updated. Attachment K shows the mercury
EMFs used in v. 2.1.6.
5.3.2
5.3.3
Appendix A5.4
15 Mercury Control Using
Activated Carbon Injection
(ACI)
Instead of modeling ACI with an 80% mercury removal rate, as was done
in v. 2.1, v.2.1.6 has the capability to provide two concurrent ACI options
of 60% and 90% mercury removal. The two options could be used for
special mercury analyses. However, v. 2.1.6 will use an ACI mercury
removal rate of 90% for typical analyses. Due to constraints on model
size and run time, the 60% removal option is intended to be applied only
on selected sensitivity analysis runs.
5.3.3
Appendix A5.3
16 Mercury Control Costs Using
ACI
Based on information received from ACI vendors as an outgrowth of the
Mercury MACT FACA process, the cost and injection rates for ACI were
revised. ("Mercury MACT FACA process" refers to the advisory
committee set up under the Federal Advisory Committee Act (FACA) to
enable EPA to obtain input on proposed regulations governing maximum
achievable control technology (MACT) for mercury removal from
electric generating units.)
Appendix
A5.3.2
(See Attachments LI and L2 for a complete development of the ACI cost
equations used in v. 2.1.6.)
Financial Assumptions
17 Revised financial assumptions
for Integrated Gasification
Combined Cycle (IGCCs)
plants.
With the following exceptions, the financial assumptions in v.2.1.6 are
the same as in EPA Base Case 2000 (v.2.1): IGCCs and Repowerings-to-
IGCCs are assigned the discount rate (DR) and capital charge rate (CCR)
associated with high (rather than medium) risk investments, i.e., DR =
6.74%, not 6.14%. CCR = 13.4%, not 12.9%
Fuel Assumptions
18
Coal Supply Curves
To provide greater consistency between the v.2.1.6 and the AEO 2003
coal supply curves, the regional coal supply curves in v.2.1.6 were
adjusted to reflect the percentage change in labor productivity assumed
in AEO 2003. The coal transportation cost escalation rates in v.2.1.6
were also made consistent with those assumed in AEO 2003. See
Attachment M for a presentation of the AEO 2003 labor productivity and
transportation escalator assumptions.
19
Natural Gas Supply Curves
Updated gas supply curves were generated using ICF Consulting Inc.'s
North American Natural Gas Analysis System (NANGAS) model. Key
activities included:
1. Gas supply curves were developed for the 2005-2025, modeling
8.2
Appendix 8.1
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Appendix 1 to Chapter B5
Table B5AA-1 Summary Table of IPM® V.2.1.6 Updates
ID
Feature
Description
Doc. Report
Section1
horizon, rather than the 2005-2020 period used earlier.
2. Earlier optimistic technology assumptions, developed for the
Department of Energy's National Energy Technology Laboratory's
(NETL), were reviewed and revised resulting in a somewhat less
optimistic technology perspective.
3. The Gulf of Mexico East drilling moratorium was incorporated in
NANGAS.
4. EIA success rates for Gulf of Mexico offshore were adopted.
5. Pipeline links were checked to ensure correct gas flow, e.g., making
sure the Rockies-Southwest link shows gas flows from the Rockies to the
Southwest rather than the reverse.
6. Seasonal transportation adders were updated.
7. Four initial NANGAS runs were performed to cover the range of
anticipated electric demand growth rates. A separate NANGAS run was
performed at electric demand annual growth rates of 1.1%, 1.55% (EPA's
CCAP adjusted growth rate), 1.88% (approximating the AEO 2003
Reference Case electricity sales growth rate), and 2.2%.
8. Outputs from the four runs were used to produce an initial set of
natural gas supply curves for incorporation in IPM®.
9. A series of iterations was performed between NANGAS and IPM®
until convergence was achieved in the IPM® and NANGAS electric sector
results. The gas supply curves generated by this process were
incorporated in v.2.1.6.
Attachments N contains the natural gas supply curves used in v. 2.1.6 for
each model run year and the seasonal transportation adders.
20 Oil prices consistent with
AEO 2003
1. V. 2.1.6 fuel prices for distillate oil and high and low sulfur residual
oil were based on the AEO 2003. The prices used in v.2.1.6 are shown in
Attachment O together with the AEO 2003 source data from which the
prices were derived.
2. The sulfur content for these fuels were defined to be consistent with
AEO 2003, i.e.,
Fuel Sulfur Content
Distillate 0.3
Residual: Low Sulfur 1.08
Residual: High Sulfur 2.69
Miscellaneous Other Features
21
SO, allowance bank
An SO2 allowance bank of 6.414 million tons (going into 2005) was
assumed.
22 Feasibility constraint on the
maximum amount of SO2
scrubbers that can be built in
2005 under the v.2.1.6 Clear
Skies run
The maximum amount of SO2 scrubbers that could be built in 2005 was
limited to 5066 MW in the Clear Skies run. This is consistent with recent
EPA assessments of the short-term feasibility of scrubber installations.
1 This column indicates the most closely related sections in Documentation of EPA Modeling Applications (V. 2.1) Using the
Integrated Planning Model (U.S. EPA, 2002).
Source: U.S. EPA, 2003.
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B5A-5 UNCERTAINTIES AND LIMITATIONS
There are uncertainties associated with EPA's electric power market and economic impacts analyses conducted in
developing the proposed rule:
Demand for electricity: The IPM® assumes that electricity demand at the national level would not change
between the base case and the policy case (generation within the regions is allowed to vary). Under the base case
specifications, electricity demand is based on the AEO 2003 forecast.14 The IPM® model, as specified for this
analysis, does not capture changes in demand that may result from electricity price increases associated with
Option 6. While this constraint may overestimate total demand in policy options that have high compliance cost
and that may therefore lead to significant price increases, EPA believes that it does not affect the results obtained
in developing the proposed rule. As described in Section B5A-3 above, the price increases associated with the
Option 6 in most NERC regions are relatively small. EPA therefore concludes that the assumption of inelastic
demand-responses to changes in prices is reasonable.
*• International imports: The IPM® assumes that imports from Canada and Mexico would not change
between the base case and the policy case. Holding international imports fixed would provide a
conservative estimate of production costs and electricity prices under Option 6, because imports are not
subject to Phase III regulation and may therefore become more competitive relative to domestic capacity,
displacing some of the more expensive domestic generating units. On the other hand, holding imports
fixed may understate effects on marginal domestic units, which may be displaced by increased imports.
However, EPA concludes that fixed imports do not materially affect the results of the analyses. In 2013
only four of the ten NERC regions import electricity (ECAR, MAPP, NPCC, and WECC) and the level of
imports compared to domestic generation in each of these regions is very small (from less than 0.01% in
ECAR, to 2.75% in NPCC).
> Repowering: For the section 316(b) analysis, EPA is not using the IPM® function that allows the model to
pick among a set of compliance responses. As a result, there is no iterative process that would adjust the
compliance response (and as a result the cost of compliance) if a facility chooses to repower. Repowering
in the IPM® typically consists of the conversion of existing oil/gas or coal capacity to new combined-cycle
capacity. The modeling assumption is that each one MW of existing capacity is replaced by two MW of
repowered capacity. This change in plant type and size might lead to a change in intake flow and
potentially to different compliance requirements and costs. Since combined-cycle facilities require
substantially less cooling water than other oil/gas or coal facilities, the effect of repowering is likely to be a
reduction in cooling water requirements (even considering the doubling of the plant's capacity). As a
result, not allowing the model to adjust the compliance response or cost is likely to lead to a conservative
estimate of compliance costs and potential economic impacts from Option 6.
*• Downtime associated with installation of compliance technologies: EPA estimates that the installation of
several compliance technologies would require the steam electric generators of facilities that are projected
to install such technologies to be off-line. Downtimes under Option 6 are estimated to be either 2 or 9
weeks, depending on the technology. Generator downtime is estimated to occur during the year when a
facility complies with Option 6. Since the years that are mapped into a run year are assumed to have the
same characteristics as the run year itself, generator downtimes were applied as an average over the years
that are mapped into each model run year. For example, years 2010 to 2012 are all mapped into 2010.
Therefore, a facility with a downtime in 2011 was modeled as if 1/3rd of its downtime occurred in each
year between 2010 and 2012. A potential drawback of this approach of averaging downtimes over the
mapped years is that the snapshot of the effect of downtimes during the model run year is the average
14 EPA also considered conducting an analysis under a third base case adjusted to account for demand reductions resulting from
implementation of the Climate Change Action Plan (CCAP) as was done for the Phase II analysis.
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effect; this approach does not model potential worst case effects of above-average amounts of capacity
being down in any one NERC region during any one year.
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§ 316(b) Proposed Rule: Phase III-EA, Part C: Economic Analysis for Phase III New OOGE Facilities
Cl: Summary of Costs
Chapter Cl: Summary of Cost Categories
and Key Analysis Elements for New Offshore
Oil and Gas Extraction Facilities
INTRODUCTION
This chapter presents an overview of the cost
categories and certain elements of the analytic
framework that are common to the economic analyses
of the two major industry segments covered by the
proposed standards for new Offshore Oil and Gas
Extraction facilities: mobile offshore drilling units
(MODUs) and oil and gas production platforms or
structures.
CHAPTER CONTENTS
Cl-l Cost Categories Cl-1
C1 -1.1 Cost of Installing and Operating
Compliance Technology Cl-1
Cl-1.2 Administrative Costs for Complying
Facilities Cl-3
Cl-2 Key Elements of the Economic Analysis for New
Offshore Oil and Gas Extraction Facilities .... Cl-7
Cl-2.1 Compliance Schedule Cl-7
Cl-2.2 Adjusting Monetary Values to a
Common Time Period of Analysis .... Cl-8
Cl-2.3 Discounting and Annualization -
Costs to Society or Societal Costs Cl-9
Cl-2.4 Discounting and Annualization -
Costs to Complying Facilities Cl-11
References Cl-13
Cl-1 COST CATEGORIES
In its analyses of the costs and economic impacts of
the proposed rule on new oil and gas extraction
facilities, EPA considered three categories of costs:
*• costs of installing and operating compliance technology,
*• administrative costs incurred by complying facilities, and
*• administrative costs incurred by permitting authorities.
In contrast to the analysis conducted for the Manufacturing and Electric Generating industry segments (see also
Chapter Bl), EPA assumed that no downtime would be associated with installing or maintaining CWIS
technologies for new offshore oil and gas extraction facilities, for two reasons. First, new facilities do not have to
retrofit equipment; the equipment is built to specification and installed before the facility begins operations.
Second, even the maintenance of CWISs should not result in downtime in the oil and gas industry, since MODUs
are hauled out on a regular basis for other types of maintenance activities, and production platforms are shut in
one to two times per year for other maintenance, making incremental downtime due to CWIS maintenance
unlikely (see the Technical Development Document for the Proposed Section 316(b) Phase III Rule (hereafter
referred to as the "Phase III Technical Development Document"; U.S. EPA, 2004b).
Subsection Cl-1.1 provides an overview of the three cost categories included in the analysis for new offshore oil
and gas extraction facilities, addressing those aspects of each category that are relevant to the oil and gas industry.
Table Cl-1 summarizes the type of new offshore oil and gas extraction facility assumed to be subject to Phase III
regulation and the compliance technologies considered for each facility type. Subsection Cl-1.2 presents
information on administrative costs incurred by new oil and gas facilities. Additional detail on the costs of
installing and operating compliance technology is provided in the Phase III Technical Development Document.
Cl-1.1 Cost of Installing and Operating Compliance Technology
Oil and gas drilling and production facilities would need to implement technologies to reduce impingement
mortality and/or entrainment. The choice of technology varies depending on CWIS diameter and flow rate or
diameter, or type of CWIS (e.g., sea chest or simple pipe). Note that for new MODUs, which EPA assumes will
Cl-1
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§ 316(b) Proposed Rule: Phase III-EA, Part C: Economic Analysis for Phase III New OOGE Facilities
Cl: Summary of Costs
use sea chests, only impingement requirements would apply. EPA determined that entrainment controls on sea
chests are not technically practicable (U.S. EPA, 2004b).
Table Cl-1: Technologies for Implementing 316(b) Requirements for New Offshore Oil and Gas
Extraction Facilities
Category
Platform
Platform
Platform
Platform
Platform
Jackup
Jackup
Jackup3
Jackup3
Jackup
Submersibles, Semi-
Submersibles and Drill Ships3
Submersibles, Semi-
submersibles and Drill Ships3
Drill Barges
Drill Barges
CWIS Type
Simple Pipe or Caisson
Simple Pipe or Caisson
Simple Pipe or Caisson
Simple Pipe or Caisson
Simple Pipe or Caisson
Simple Pipe or Caisson
Simple Pipe or Caisson
Sea Chest
Sea Chest
Submersible Pumps
Sea Chests
Sea Chests
Simple Pipes
Simple Pipes
Technology Description
Stainless steel wedge wire screen - no air sparge cleaning
Stainless steel wedge wire screen - with air sparge
cleaning
CuNi wedge wire screen - no air sparge cleaning
CuNi wedge wire screen - with air sparge cleaning
Stainless steel and CuNi velocity caps
Cylindrical wedge wire screen over tower inlet
Horizontal Flow Modifier
Flat panel wedge wire screen over sea chest opening
Horizontal Flow Diverter for Side Sea Chests
Cylindrical wedge wire screen over suction pipe inlet
Flat panel wedge wire screen over sea chest
Horizontal flow diverter over side sea chest
Cylindrical wedge wire screen over simple pipes
Velocity Cap on the CWIS
3 All semi-submersibles and drill ships and most jackups in EPA's technical database use sea chests. EPA determined that
entrainment controls on sea chests are not technically practicable. New MODUs, which are represented by typical existing
MODUs, are assumed to use sea chests (see U.S. EPA, 2004b).
Source: U.S. EPA, 2004b.
EPA developed technology cost estimates for the proposed rule based on the impingement mortality and
entrainment reduction technologies (as appropriate) projected for each new oil and gas facility. Technology costs
include capital costs and operating and maintenance (O&M) costs. The technology costs developed for the
proposed rule analysis are engineering cost estimates, expressed in July 2002 dollars. These costs were converted
to mid-year 2003 values (see Section Cl-2.2 below for a discussion of adjusting monetary values to a common
time period of analysis).
More detailed information on the compliance technologies considered by EPA, on technology costs, and on
EPA's characterization of baseline technologies already in-place at new offshore oil and gas extraction facilities,
is available in the Phase III Technical Development Document. In addition, Chapter C3: Economic Impact
Analysis for the Offshore Oil and Gas Extraction Industry provides more detail on the engineering costs assumed
for each of the different types of oil and gas facilities analyzed in this report.
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Cl-1.2 Administrative Costs for Complying Facilities
Compliance with the standards of the proposed rule requires new offshore oil and gas extraction facilities to carry
out certain administrative functions. For Phase III existing facilities, these administrative functions, which help
them determine their compliance requirements and provide the documentation needed for issuance of their new
National Pollution Discharge Elimination System (NPDES) permits, fall on each facility individually. For oil and
gas facilities, however, General Permits apply.
There are three General Permits (GPs) that would apply to new offshore oil and gas extraction facilities subject to
Phase III regulation. The Region 6 General Permit applies to the relatively active Western Gulf of Mexico
(GOM) region; the Region 4 General Permit applies to the currently relatively inactive Eastern GOM region, and
the Region 10 General Permit (Cook Inlet permit) applies to Cook Inlet, Alaska. The GPs are expected to be
rewritten to accommodate the requirements of section 316(b) following promulgation of the final rule and as each
GP comes up for renewal at the end of its 5-year cycle.
The current Region 6 permit was effective as of 2002, expired in 2003, and is planned for renewal in 2004. Study
of produced water will reopen in 2007. The likely beginning rounds of the post-promulgation schedule of this
permit is thus 2007 and 2012. The Region 4 permit expired in 2003. It is likely to be renewed in 2004. The
probable post-promulgation GP renewal schedule is considered to be 2009 and 2014. The planned renewal date
of the general permit for Cook Inlet is January 2005 but the permit expires in 2004. The likely post-promulgation
renewal schedule is thus 2009 and 2014.
The rule is scheduled to be promulgated in 2006, with the effective date assumed to be the beginning of 2007.
Three years of environmental studies are assumed to be required prior to permitting under the section 316(b) rule.
Thus, the first possible compliance date after the 2007 effective date would be 2010. However, the general
permits may not be able to incorporate section 316(b) requirements during the 2007-2009 repermitting cycles.
Therefore, EPA assumed that the oil and gas industries would be required to comply starting in 2012 (or 2014 in
the case of Region 4 and 10 permits).
Because the rule becomes effective in 2007, however, EPA is assuming, for both simplicity and to be
conservative, that starting in 2007, new offshore oil and gas extraction facilities would have installed and would
be operating relevant CWIS controls, since they would be relatively inexpensive to install during construction.
The pre-permitting studies are assumed to start in 2007 (for both Region 6 and Region 4), but other permitting
tasks would not begin until the year prior to when the GPs renewals are finalized (2012 or 2014), or the year prior
to when the facility is assumed to come on line or be launched, whichever is later. Monitoring would only begin
in the year the renewals are finalized or the year in which the facility comes on line or is launched, again,
whichever is later. The timing assumptions for Region 6 and Region 4 permits may overstate costs, since costs
are moved several years earlier in the analysis time frame than they would be if EPA assumed only those facilities
constructed in 2012 or later incur compliance costs. The costs of compliance in this industry, however, are
relatively small overall, so the numerical significance of any overestimation would be small. More specific
details of the timing assumptions of costs incurred are provided in a memorandum to the Rulemaking record
(ERG, 2004).
Because new offshore oil and gas extraction facilities would be subject to Phase III regulation under these GPs,
EPA assumes that certain administrative functions can be shared among new facilities. All MODUs and
platforms expected to be built in the first five years before the revised Region 6 General Permit is issued (2012)
are expected to share the initial costs of certain biological characterization studies that would be required by
section 316(b) under the Region 6 GP. They are also assumed to share the cost of monitoring studies, which must
be performed at a minimum for the first two years of the permit and then at least once per year for each
repermitting cycle. Only MODUs are assumed to share the costs of permitting studies under the Region 4 GP.
Permitting costs for platforms are assumed to be those incurred under the Region 6 permit. Should platforms be
constructed in Region 4 locations, permitting costs would be similar to Region 6 permitting costs. Since it is not
known which MODUs may operate in the Eastern GOM, all MODUs constructed in 2007 and beyond are
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities Cl: Summary of Costs
assumed to incur permitting costs under a Region 4 GP. This roughly doubles the permitting costs assigned to
MODUs. The assumption may overstate total costs, since not all MODUs may operate in the Eastern Gulf, and
there may be significant costs savings once a Region 6 permit application is completed, since much of the
information required for both permits would most likely be identical.
Only one Alaska project is anticipated, at most, over the period of analysis (see Chapter C2: Profile of the
Offshore Oil and Gas Extraction Industry), so this project is expected to incur the entire cost of facility
permitting. This project is assumed to go on line in the year the Region 10 permit is finalized (2014). For this
project, EPA assumes that the 3-year studies are performed in the three years prior to start-up (2011-2013).
The administrative functions associated with incorporating the 316(b) requirements into the applicable General
Permits are either one-time requirements (compilation of information for the initial post-promulgation General
Permits) or recurring requirements (compilation of information for subsequent General Permit renewals; and
monitoring, record keeping, and reporting). More detailed information on the derivation of permitting activities
and costs can be seen in U.S. EPA (2004a).
a. Initial post-promulgation General Permit application
EPA assumes that the proposed rule would encourage firms to pool their resources. Therefore, those firms that
are planning to construct new platforms or MODUs to operate in the GOM within the first 5 years before the
applicable General Permit is reissued with 316(b) requirements in place are assumed to share certain pre-
permitting costs. EPA expects that these firms will hire a consultant to perform the more general information
gathering tasks required of industry before facilities can be permitted under a GP and also to perform the two
years of monitoring studies required in the first two years of the permit (monitoring costs are assumed shared by
the number facilities permitted in the first or second year of the first permit cycle). Other activities are specific to
each facility and it is assumed each facility will incur the cost of these activities individually. Some of the
permitting activities, however, may not be incremental to existing requirements. Minerals Management Service
(MMS) will be finalizing a rule (possibly mid-August, 2004) that will require some of the same information (U.S.
EPA, 2004a). The MMS rule is, however, not applicable to Cook Inlet. All information submitted would be
consistent with Phase I, Track 1 requirements. Activities and costs associated with the initial permit renewal
application include:
*• Start-up activities: reading and understanding the rule; mobilizing and planning; and training staff. This
is a facility-specific activity.
*• Permit application activities: identifying source water physical data, velocity information, and cooling
water intake structure data, including description of CWIS operations, flow distribution and water balance
diagram, and drawings and maps to support CWIS descriptions, and maintaining copies of these records.
These activities are assumed facility-specific, but several of the activities duplicate activities required by
MMS. There are no incremental costs associated with duplicate activities.
*• Source waterbody flow and CWIS velocity flow information: Information used to demonstrate that the
facility's CWIS meets the proportional flow requirements. The CWIS velocity flow information and
demonstration is assumed to be facility-specific, but none of these activities is incremental to MMS
requirements. The waterbody flow calculation activities are only those associated with compiling site-
specific information. Other waterbody characterization activities that can be shared are included in the
biologic characterization study activities.
*• Design and construction technology plan: delineation of the hydrologic zone of influence for the CWIS,
description of technologies to be implemented; the basis for technology selection; expected performance
of the technology; and design calculations, drawings and estimates to support the technology description
and performance. These activities are assumed facility-specific. Development of the narrative
description of technologies is considered an MMS requirement, so no costs are assumed incurred for this
activity.
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§ 316(b) Proposed Rule: Phase III-EA, Part C: Economic Analysis for Phase III New OOGE Facilities
Cl: Summary of Costs
*• Source water baseline biological characterization data: characterization of the biological community in
the region and operation of CWISs; list of species in region; identification and evaluation of primary
period of reproduction, larval recruitment, and period of peak meroplankton abundance for relevant taxa;
and description of the likely impact of CWISs on the biological community due to impingement and
entrainment. This is considered a regional study to be conducted over a 3-year period by a contractor;
costs are assumed to be shared among affected facilities, since the entire monitoring program is assumed
to apply region-wide.
Table Cl-2 below lists the estimated costs per facility of each of the initial post-promulgation General Permit
activities described above (permit costs for MODUs in the Eastern GOM are lower in some cases, since MODUs
are assume to use sea chests and are not required to meet entrainment requirements, eliminating any costs
associated with entrainment studies).
Table Cl-2: Cost of Initial Post-Promulgation NPDES General Permit Application Activities
(Per Facility, 2003$)
Activity
Start-up activities3
Permit application activities'1
Source waterbody flow information3
CWIS velocity flow information5
Design and construction technology planb
Biological characterization studyc>e
Total Initial Post-Promulgation NPDES General
Permit Application Cost11
Region 6
$2,171
$925
$1,416
$0
$1,282
$63,942
$69,737
Region 4
$2,171
$925
$1,416
$0
$1,141
$39,871
$45,524
Region 10
$2,171
$925
$1,416
$0
$1,282
$296,564
$302,358
a The costs for these activities are incurred in 2007 for facilities built in 2007 to 2011 in both Eastern and Western Gulf. For
Alaska, they occur in 2011.
b The costs for these activities are incurred in 2011 for facilities built in 2007 to 2012 for both Eastern and Western Gulf. For
Alaska, they occur in 2013.
c The costs for these activities are incurred during 2007-2009 in the Eastern and Western Gulf and are shared costs. For Alaska,
these costs are incurred during 2011-2013.
d Individual numbers may not add to total due to independent rounding.
e Shared study costs.
f Measured as incremental to MMS requirements.
Source: U.S. EPA, 2004a. See also ERG, 2004.
b. Subsequent NPDES General Permit Renewals
Subsequent General Permit renewals would require collecting and submitting the same type of information
required for the initial permit renewal application. EPA expects that both the facility and the contractor can use
some of the information from the initial studies. Building upon existing information is expected to require less
effort than developing the data the first time, especially in situations where conditions have not changed. The
shared recurring permit costs are assumed to be shared by all new offshore oil and gas extraction facilities built in
the first 5-year cycle plus all new facilities built in the next 5-year cycle, etc., so as time goes on, shared costs are
shared by more and more facilities (except Alaska, where only one project is assumed during the time frame of
the analysis). As facilities go offline or are retired (after 30 years), fewer projects share in these studies.
Table Cl-3 lists the estimated costs of each of the NPDES General Permit renewal activities subsequent to the
first round. Since these numbers change slightly as facilities come on or offline, the costs shown are for the first
repermitting cycle following the initial GP renewal.
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§ 316(b) Proposed Rule: Phase III-EA, Part C: Economic Analysis for Phase III New OOGE Facilities
Cl: Summary of Costs
Table Cl-3: Cost of Subsequent NPDES General Permit Application Activities
(Per Facility, 2003$)
Activity
Start-up activities2
Permit application activities3
Source waterbody flow information3
CWIS velocity flow information3
Design and construction technology plan3
Biologic characterization study3
Total Recurring NPDES Permit Application Cost"
Region 6
$692
$190
$401
$0
$802
$12,005
$14,090
Region 4
$692
$190
$401
$0
$694
$7,455
$9,432
Region 10
$692
$190
$401
$0
$802
$194,932
$197,017
3 The costs for these activities are incurred during the year of the General Permit renewal. Shared costs shown are for the first
permit renewal period after the initial permit (e.g., 2017); these costs change as the number of permitted facilities change. For
simplicity, all costs for repermitting are assumed to be incurred in one year, rather than spread over several years as was assumed
for the initial round of permitting.
Source: U.S. EPA, 2004a. See also ERG, 2004.
c. Annual monitoring, record keeping, and reporting
Annual monitoring, record keeping, and reporting activities and costs include:
*• Biologic monitoring for impingement
*• Biologic monitoring for entrainment
*• Velocity monitoring
»• Preparing and maintaining a yearly status report
Table Cl-4 on the following page outlines the associated costs of these activities.
Table Cl-4: Cost of Monitoring Activities (Per Facility, 2003$)
Activity
Biologic monitoring for impingement
Biologic monitoring for entrainment
Velocity monitoring3
Preparing and maintaining yearly status report
Total Monitoring Cost
Region 6
$4,350
$2,710
$1,004
$1,775
$9,839
Region 4
$1,963
$0
$453
$801
$3,217
Region 10
$0
$46,078
$6,192
$10,945
$63,215
3 The costs for these activities are incurred during the first two years of the initial General Permit renewal (i.e., 2012 or 2014) and
are shared. These costs are incurred for one year in each subsequent permit renewal cycle. Shared costs shown are for the first
permit cycle only (2012 or 2014); these costs change as the number of permitted facilities change over time.
Source: U.S. EPA, 2004a. See also ERG 2004.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities Cl: Summary of Costs
d. Administrative Costs for Permitting Authorities
In addition, permitting authorities have to review the information provided by new offshore oil and gas extraction
facilities and have to issue new general permits that reflect the requirements of the proposed rule. These activities
impose costs on the responsible governmental units. For more details on the specific costs and timing
assumptions for federal administration of new offshore oil and gas extraction facilities, see Chapter D2: UMRA
Analysis. These costs and assumptions are summarized briefly below.
The requirements of section 316(b) are implemented through the National Pollutant Discharge Elimination
System (NPDES) permit program. In the case of the oil and gas industry, NPDES permitting is consolidated
under several General Permits, which are administered at the EPA regional level. Unlike the Phase III existing
facilities discussed in Chapter Bl: Summary of Cost Categories and Key Analysis Elements for Existing
Facilities, no states are involved in these permitting activities. Thus, three Regions (Region 6, Region 4, and
Region 10) are expected to be the only entities responsible for permitting. Because states are not involved in
permitting, there are no costs associated with Federal oversight as there are for state-administered NPDES
permits. The three Regions would incur three types of costs associated with implementing the requirements of the
proposed rule on a per-facility basis, i.e., for each facility permitted under a GP: (1) start-up activities (considered
not incremental to existing activities; $0 cost), (2) activities associated with the initial General Permit containing
the new section 316(b) requirements ($12,309 in each region) and subsequent permit renewals ($5,018 in each
region), and (3) annual activities ($1,428 in each region).1
The start up activities apply only once to each Region, but the remaining activities are incurred on a per-facility
basis.
For a detailed discussion of administrative costs for permitting authorities, see Chapter D2: UMRA Analysis,
section D2-1.2.
Cl-2 KEY ELEMENTS OF THE ECONOMIC ANALYSIS FOR NEW OFFSHORE OIL AND GAS
EXTRACTION FACILITIES
The economic analysis of regulation of new offshore oil and gas extraction facilities addresses the cost to, and
impact on, the affected industry segments and society generally. Although these analyses differ in important
respects for the individual industry segments - particularly in terms of the analytic models and methods for
assessing the economic/financial impact of the proposed rule on complying parties within the segments - several
elements of the analysis have features common to all new offshore oil and gas extraction facilities. This section
reviews the following key common elements:
*• Compliance Schedule
»• Adjusting Monetary Values to a Common Time Period of Analysis
*• Discounting and Annualization: Costs to Society or Social Costs
»• Discounting and Annualization: Costs to Complying Facilities
Cl-2.1 Compliance Schedule
For its analysis of the cost and impacts of the proposed rule, EPA developed a profile of the expected compliance
year (year in which the new MODU or platform is launched or comes on line) for each of the types of facilities
considered in the economic analysis. Unlike the analysis for the Phase III existing facilities, the compliance year
is not necessarily the same year as the year in which the facility must comply with the General Permit, since EPA
is assuming that CWIS controls are installed and are operating in new MODUs and platforms starting in 2007,
1 The costs associated with implementing the requirements for new offshore oil and gas extraction facilities are documented in EPA's
Information Collection Request (U.S. EPA, 2004a).
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities Cl: Summary of Costs
even though the first General Permit is assumed to be reissued with 316(b) requirements in 2012. Developing an
explicit profile of compliance years for new offshore oil and gas extraction facilities is important because the
schedule of compliance years determines the timing of outlays by facilities and society in complying with the
regulation, both for the initial outlays and for the ongoing profile of outlays in maintaining compliance with the
regulation. This information is important in properly assessing the present value of the regulation's costs to
society.
For the analysis, EPA initially assumed that firms planning to build facilities in the first permit cycle (Region 6
General Permit) (2012-2016) would contract to perform the studies necessary for these facilities to be permitted
starting in 2007. The Region 4 permit is assumed not to incorporate 316(b) requirements until 2014, but studies
are started in 2007 as well. Starting in 2014, any new MODUs are assumed to incur the costs of the Region 4
permit as well as the Region 6 permit. No platforms/structures are assumed to incur costs of the Region 4 permit
(they will incur the costs of one permit only, assumed to be issued under the Region 6 General Permit). The next
group of facilities to be launched or come on line in the next permit cycle (2017 or 2019) would need to be
involved only in repermitting activities for the shared studies, and thus, for the shared costs, would share
repermitting costs with each other as well as with operations begun in the first 5-year cycle. These new
operations would, however, incur initial permitting costs among those activities that are facility specific. The
years in which facilities are expected to be completed are specifically spelled out, given the number of facilities
expected to be completed in each year (see Chapter C2: Profile of the Offshore Oil and Gas Extraction Industry).
More information on specific timing assumptions can be seen in ERG (2004) and the 316(b) Oil and Gas
Compliance Cost Model (DCN 7-4018).
Cl-2.2 Adjusting Monetary Values to a Common Time Period of Analysis
The various economic information used in the cost and impact analyses were initially provided or estimated in
dollars of different years. For example, facility financial data obtained in the 316(b) survey for the oil and gas
industry are for the years 2000, 2001, and 2002, while the technology costs of regulatory compliance were
estimated in dollars of the year 2002. To support a consistent analysis using these data that were initially
developed in dollars of different years, EPA needed to bring the dollar values to a common analysis year. For this
analysis, EPA adjusted all dollar values to constant dollars of the year 2003 (average or mid-year, depending on
availability) using an appropriate inflation adjustment index. For adjusting compliance costs, EPA used the
Construction Cost Index (CCI) published by the Engineering News-Record.
a. CCI
EPA used the CCI to adjust compliance cost estimates from July 2002 to mid-year 2003. EPA judges the CCI as
generally reflective of the cost of installing and operating process and treatment equipment such as would be
required for compliance with Phase III regulation. Table Cl-5, following page, shows CCI values for July, 2002
and June, 2003.
Table Cl-5:
Year
My 2002
June 2003
Construction
Value
6605
6694
Cost Index
% Change
1.3%
Source: ENR, 2004.
b. GDP Deflator
EPA used the GDP Deflator to adjust 316(b) survey financial data from 2000, 2001, and 2002 to 2003. The GDP
Deflator is a quarterly series that measures the implicit change in prices, overtime, of the bundle of goods and
services comprising gross domestic product. Table Cl-6 shows GDP Deflator values from 2000 to 2003. From
2000 to 2003, the total change in the deflator series was 5.7% (105.7/100.0).
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities Cl: Summary of Costs
Table Cl-6: GDP Deflator Series
Year
2000
2001
2002
2003
Source: U.S.
Value
100.0
102.4
103.9
105.7
BEA, 2004.
% Change
2.4%
1.5%
1.7%
Cl-2.3 Discounting and Annualization - Costs to Society or Social Costs
Discounting refers to the economic conversion of future costs (and benefits) to their present values, accounting for
the fact that society tends to value future costs or benefits less than comparable near-term costs or benefits.
Discounting is important when the values of costs or benefits occur over a multiple year period and may vary
from year to year. Discounting is also important when the time profiles of costs and benefits are not the same -
which is the case for the regulatory analysis of new oil and facilities. Discounting enables the accumulation of the
cost and benefit values from multiple years at a specified point in time, accounting for the difference in how
society values those costs and benefits depending on the year in which the values are estimated to occur.
For its analysis of the costs to society, or the social costs, of the proposed rule for new offshore oil and gas
extraction facilities, EPA first developed a profile of the costs expected to be incurred as a result of the regulation
over the period of analysis. EPA defined the analysis period as follows. The analysis period begins in 2007 (5
years before the first of the General Permits is reissued with 316(b) requirements) and includes facilities
constructed over the next 20 years - i.e., to 2026 -plus a period of 30 years in which each newly constructed
facility is assumed to continue compliance. Thus, for the social cost analysis for Phase III new offshore oil and
gas extraction facilities, the analysis period extends to 2055 (see the 316(b) Oil and Gas Compliance Cost Model,
DCN 7-4018). In developing the time profile of costs, EPA assigned costs according to the following schedule:
a. Direct Costs of Regulatory Compliance
*• Capital Costs of Compliance Technology: This cost is first incurred in the year that the facility begins
operation. However, the equipment for complying with the regulation is expected to have a useful life of
10 years, or a period shorter than the 30 years of compliance. Accordingly, following the first
installation, facilities are assumed to reinstall, and re-incur the cost of, the compliance equipment at year
11 and year 21 of the facility-specific compliance period.
> Compliance Technology Operation and Maintenance: This cost is assumed to occur in each year of a
facility's 30-year compliance year period.
b. Administrative Costs Incurred by Complying Facilities
*• Biological Characterization Study: This is a three-year study required for all facilities, which is assumed
to be shared by the affected facilities. The cost of this study is incurred over the years immediately
following the effective date of the proposed rule or the years preceding the first post-promulgation GP
(2007-2009 for Eastern and Western Gulf, and 2011-2013 for Alaska).
*• Initial Permitting Cost. In addition to incurring a share of the cost of characterization studies, complying
facilities would also incur an initial permitting cost, which is assigned to the year preceding the first year
of a facility's 30-year compliance period, or in 2007 for facilities launched or coming on line in 2007
through 2011.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities Cl: Summary of Costs
*• Repermitting Costs: As explained above, General Permits are renewed each five years during the period
of compliance. Repermitting costs, both shared and facility-specific, are assumed to recur at years 5,10,
15, 20, and 25 of the General Permit cycles. For new offshore oil and gas extraction facilities, EPA
assumes that 30 years is the reasonable maximum lifetime of these facilities; thus, no repermitting cost is
incurred in the 30th year of facility operation.
*• Annual Monitoring, Record Keeping, and Reporting Activities: These costs are assumed to occur in the
first two years of the initial permit and in each year of the permit renewal year. These costs begin in 2012
or 2014, depending on permit.
c. Administrative Costs Incurred by Permitting Authorities
*• One-time Start-up Costs: These costs are assumed to be nonincremental to existing costs of permitting in
the three regions.
*• Permit Processing Costs: These costs are assigned to the years in which facilities apply for initial permits
or renewal permits during the compliance period.
*• Annual Permit Administration Activities: The cost of these activities is assumed to occur in parallel with
the annual permit-related activities by complying facilities and thus occurs in each year of a facility's
compliance period.
EPA assigned costs by facility and governmental unit according to this framework and then summed these costs
on a year-by-year basis over the total time period of analysis. For the social cost analysis, these costs were tallied
on a pre-tax basis, which differs from the treatment of costs for the facility impact analysis as described below.
These profiles of costs by year were then discounted to the assumed date the final rule would take effect,
beginning of year 2007, at two values of the social discount rate, 3% and 7%. These discount rate values reflect
guidance from the Office of Management and Budget regulatory analysis guidance document, Circular A-4
(OMB, 2003).2
For more detailed information see ERG (2004) and the 316 (b) Oil and Gas Compliance Cost Model (DCN 7-
4018).
EPA used the following formula to calculate the present value of the time stream of costs as of the beginning of
2007:3
Cost
Present Value =
(1 + r)'-2007
where:
Costt = Costs in year t
r = Social discount rate (3% and 7%)
t = Year in which cost is incurred (2007 to 2055)
After calculating the present value of these cost streams, EPA calculated their constant annual equivalent value
(annualized value) using the annualization formula presented below, again using the two values of the social
discount rate, 3% and 7%. Although the analysis period extends from 2007 through 2055, a period of 49 years,
2 See Chapter El: Summary of Social Costs, for further discussion of the framework for analyzing the social costs of the 316(b)
Phase III regulation.
3 Calculation of the present value assumes that the cost is incurred at the beginning of the year.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities Cl : Summary of Costs
inclusive, EPA annualized costs over 30 years, since 30 years is the assumed period of compliance. This same
annualization concept and period of annualization were also followed in the analysis of benefits, although for
benefits the time horizon of analysis for calculating the present value is longer than for costs. Using a 30-year
annualization period for both social costs and benefits allows comparison of constant annual equivalent values of
costs and benefits that have been calculated on a mathematically consistent basis. The annualization formula is as
follows:
r x n + r)(»-V
Annualized Cost = PV of Cost x - '
+ r)n - \
where:
r = Social discount rate (3% and 7%)
n = Annualization period, 30 years for the social cost analysis
Cl-2.4 Discounting and Annualization - Costs to Complying Facilities
In general, EPA followed similar concepts and procedures in the discounting and annualization required for the
analysis of costs to, and impacts on, complying facilities as those followed for the analysis of social costs.
However, the analysis of costs to complying facilities differs from that for costs to society in several important
ways, which are described below.
*• Consideration of taxes. For understanding the impact of the regulation on complying facilities, the costs
incurred by complying facilities are adjusted for taxes, as relevant, and calculated on an after-tax basis.
The tax treatment of compliance outlays and income effects (e.g., from installation) shifts part of these
costs to the tax-paying public and reduces the actual cost to private, tax-paying businesses. For this
reason, the after-tax costs of compliance are a more meaningful measure than the pre-tax costs of the
financial burden on complying facilities. In analyzing and reporting the impact of compliance costs on
private facilities, annualized costs are therefore calculated on an after-tax basis. Since most companies
that operate MODUs or platforms are headquartered in states without corporate income taxes, EPA
assumes a state tax rate of 0%. On the Federal level, EPA assumes that the highest marginal corporate tax
rate applies. This rate is 35% (IRS, 2002), so post-tax costs will be 65% of the pre-tax costs. EPA does
this because all platform and MODU owners that are likely to operate in Alaska or the Gulf of Mexico are
large corporations by SBA standards and/or all have earnings in most years that place them in the highest
corporate tax bracket.
*• Calculation of present value and annualization of costs at the year of compliance. In the social cost
analysis, costs were summed on a present value basis at the beginning of 2007, the assumed date the final
regulation would take effect. For the analysis of costs to complying facilities, costs were calculated on a
present value basis and annualized at the first year of compliance for each facility (assumed to be the year
the facility is brought on line or launched). The calculation of annualized costs at the first year of
compliance provides more accurate and meaningful insight for assessing financial impact in relation to
the baseline financial performance and conditions of the complying facility than would be achieved if, for
example, costs were further discounted - and reduced numerically - by bringing them to the year the rule
would take effect. The aggregates of annualized cost over facilities for purposes of reporting total cost to
complying facilities and total financial burden are likewise the sum of costs at the initial year of
compliance for each facility, even though those years differ across facilities. These costs are annualized
and used to report the aggregate costs to industry. The costs used to determine impacts are derived
somewhat differently and the method used to incorporate them into the impact analysis varies by type of
facility (MODU or platform) as explained in Chapter C3: Economic Impact Analysis for the Offshore Oil
and Gas Extraction Industry.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities Cl: Summary of Costs
*• Use of discount rates in present value and annualization calculations. The discounting and
annualization calculations for the complying facility cost calculations use the same formulas as used for
the social cost calculations. However, the discount rate used in the facility cost calculations generally has
a different interpretation than the rate used for the social cost calculation (even though the numerical
value of the rate may be the same). Instead of being a social discount rate, the discount rate used for the
present value and annualization calculations for complying facility costs represents a cost of capital to the
individual complying facility, which may reasonably differ from the concept of the social discount rate.
The social discount rate may be derived on several bases, including as an opportunity cost of capital to
society or as a societal inter-temporal preference or indifference rate - i.e., the required rate of change
over time in a value of consumption or outlay at which society would be indifferent to the time period in
which the consumption or outlay occurs. The social discount rates based on these society-level concepts
may reasonably differ from the cost of capital used for assessing costs and financial impacts to the
complying firm.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities Cl: Summary of Costs
REFERENCES
Engineering News-Record (ENR). 2004. Construction Cost Index. Available at:
http://enr.construction.com/features/conEco/costIndexes/constIndexHist.asp.
ERG. 2004. Cost Timing and Cost Sharing Assumptions for Industry Compliance Costs. Memorandum to the
316(b) Phase III Rulemaking Record. October 15, 2004.
Office of Management and Budget (OMB). 2003. Executive Office of the President. Circular A-4, To the Heads
of Executive Agencies and Establishments; Subject: Regulatory Analysis. September 17, 2003.
U.S. Bureau of Economic Analysis (U.S. BEA). 2004. Gross Domestic Product. Table 1.1.9: Implicit Price
Deflators for Gross Domestic Product (GDP). Last Revised on February 27, 2004.
Available at: http://www.bea.doc.gov/bea/dn/nipaweb/TableView.asp#Mid.
U.S. Department of the Treasury. 2002. Internal Revenue Service (IRS). 2002 Instructions for Forms 1120 &
1120-A, page 17 (Federal tax rates).
U.S. Environmental Protection Agency (U.S. EPA). 2004a. Information Collection Request (ICR)for Cooling
Water Intake Structures Phase III Proposed Rule. ICR Number 2169.01. October 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2004b. Technical Development Document for the Proposed
Section 316(b) Phase III Facilities. EPA-821-R-04-015. November 2004.
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THIS PAGE INTENTIONALLY LEFT BLANK
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Chapter C2: Profile of the Offshore Oil and
Gas Extraction Industry
CHAPTER CONTENTS
C2-1 Mobile Offshore Drilling Units (MODUs) .... C2-2
C2-1.1 Overview C2-2
C2-1.2 Existing MODUs and Their Associated
Firms C2-3
C2-1.3 Existing MODUs with Intake Rates
Meeting Proposed Rule Criteria C2-9
C2-2 Oil and Gas Production Platforms C2-10
C2-2.1 Overview C2-10
C2-2.2 Existing Platforms and Their Associated
Firms C2-11
C2-2.3 Existing Platforms with Intake
Rates Meeting Proposed Rule Criteria C2-25
C2-3 Total New Oil and Gas Operations C2-30
References C2-31
INTRODUCTION
EPA's proposed 316(b) cooling water intake
rulemaking would affect new construction among
offshore components of the oil and gas industry. The
proposal would affect new offshore oil and gas
extraction facilities only, because EPA has decided
not to regulate existing oil and gas facilities. This
profile compiles and analyzes economic and financial
data for several sectors of the offshore oil and gas
extraction industry that may be affected by certain of
the Phase I 316(b) requirements for new facilities that
are being proposed for new offshore oil and gas
extraction facilities under Phase III. The profile
characterizes the firms and facilities that currently
exist to provide information on the characteristics of
facilities that might be constructed in the future and
the firms that are most likely to construct such facilities. The review of existing facilities that would be subject to
Phase III regulation, if they were newly constructed, is also informative in showing the relatively small number of
facilities that EPA has excluded from coverage by not including existing oil and gas facilities in this proposal.
Two key industry sectors are primarily associated with offshore oil and gas drilling and production, both of which
might intake ambient cooling water from the surrounding oceans or navigable waterways for a wide variety of
cooling needs. EPA also investigated the liquid natural gas (LNG) re-gasification industry, but determined that
all but one new LNG facility currently planned would meet the 316(b) requirement that 25% or more of total
intake flow be used for cooling water purposes (U.S. EPA, 2004). EPA proposes to apply Best Professional
Judgment (BPJ) to this industry. This industry, therefore, is not discussed further.
The two major offshore oil and gas extraction industry users of CWIS are:
*• mobile offshore drilling units (MODUs)
*• offshore oil and gas production platforms
The following sections provide a profile for MODUs and production platforms (Sections C2-1 and C2-2). Within
each profile, a brief overview of the industry is provided, including a look at existing facilities and their
associated firms, and the financial conditions of those firms (where firm financial data are publicly available).
The existing facilities are then discussed in more detail to provide information for the financial modeling of new
facilities. Also discussed are factors affecting the future of each of these two groups of CWIS users. Finally,
EPA projects the numbers of new MODUs or platforms that might be constructed with CWIS flow rates greater
than 2 MGD, greater than 20 MGD, and greater than 50 MGD during the construction portion of the time frame
of this economic analysis (construction spans the years 2007 to 2026). As discussed in Section Cl, EPA decided
to apply a similar regulatory structure to new offshore oil and gas extraction facilities as had been applied to new
facilities for the 316(b) Phase I regulation: impingement and entrainment (I&E) controls are required on all new
offshore oil and gas extraction facilities that have a total CWIS intake flow rate of 2 MGD or more (except for
MODUs using sea chests, which are subject to impingement controls only).
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Section C2-3 concludes this chapter with a summary of the estimated total number of new facilities in the offshore
oil and gas extraction industry with at least 2 MGD intake rates by MGD flow rate category.
C2-1 MOBILE OFFSHORE DRILLING UNITS (MODUs)
C2-1.1 Overview
Offshore drilling operations often use MODUs, which are vessels or other sea-going rigs that are used to transport
drilling equipment to the offshore site and from which drilling operations can be undertaken. The MODUs of
interest are active primarily in the State offshore waters of the Gulf of Mexico (GOM). MODUs operating close
to shore in State waters tend to be small barges and submersibles that do not use cooling water at the rates of
concern (significantly less than 2 MGD) (U.S. EPA, 2004).
MODUs provide nearly all of the exploration and delineation drilling in the offshore development of oil and gas
resources. MODUs also provide developmental drilling services. In exploratory drilling, drilling is undertaken to
determine whether oil and gas resources are available near existing fields or in areas where no resources have
been previously found (wildcats). Once an exploratory well has identified the presence of potentially recoverable
oil and gas resources, delineation drilling is undertaken. Delineation entails the drilling of additional wells to
determine the extent and nature of the new field. These two types of drilling often occur at a distance from
existing platforms and thus are usually conducted from a mobile rig.
Drilling of development wells can be done from either a platform or a MODU. The same types of mobile rigs
used to drill exploratory and delineation wells can also be used to drill developmental wells. Once a field has
been delineated and a decision is made to develop the field, a platform is typically constructed and developmental
drilling is initiated to construct wells for producing the field. A discussion of platform-based drilling is presented
below in Section C2-2.
MODUs encompass a variety of vessel or rig types. The two basic groups of MODUs are bottom-supported units
and floating units. Bottom-supported units include submersibles and jackups. Floating units include inland
barge rigs, drill ships, ship-shaped barges, and semi-submersibles.
Bottom-supported drilling units are typically used when drilling occurs in shallow waters. Types of bottom-
supported units include:
*• Submersibles-barge-mounted drilling rigs that are towed to the drill site and sunk to the bottom. These
rigs may be either posted barge or bottle type. A posted barge rig consists of a barge hull that rests on the
bottom, with steel posts that rise from the top of the hull and a deck built on top of the posts well above
the water line. These are used in water depths no more than 30 to 35 feet. A bottle type submersible
consists of several steel cylinders or bottles. When the bottles are flooded, the rig submerges and sinks to
the bottom, and when water is removed, they rise to the surface. These rigs can be used in water depths
up to 100 feet.
*• Jackup rigs-barge-mounted rigs with extendable legs that are retracted during transport. At the drill site,
the legs are extended to the seafloor. As the legs continue to extend, the barge hull is lifted above the
water. Jackup rigs, which can be used in waters up to 300 feet deep, can be categorized by their leg type:
columnar leg and open-truss leg.
Floating drilling units are typically used when drilling occurs in deep waters and at locations far from shore.
Types of floating units include:
*• Semi-submersible-a type of floating drill unit that can withstand rough seas with minimal rolling
and pitching tendencies, thus they are used for drilling projects in ultra-deep water Gulf regions.
They are hull-mounted and float on the surface of the water when empty. At the drilling site, the
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
hulls are flooded and sunk to a certain depth below the surface of the water. When the hulls are
fully submerged, the unit is stable and not susceptible to wave motion due to its low center of
gravity. The unit is moored with anchors to the seafloor. The two types of semi-submersible rigs
are bottle-type (similar in concept to the bottle-type submersible) and column-stabilized.
*• Drill ships and ship-shaped barges-vessels that float on the surface of the water equipped with
drilling rigs. These vessels maintain position above the drill site by anchors on the seafloor or the
use of propellers mounted fore, aft, and on both sides of the vessel (dynamic positioning). Drill
ships are the other major drilling rig used in ultra-deep Gulf waters. In these locations, drill ships
typically operate using dynamic positioning. Drill ships and ship-shaped barges are susceptible
to wave motion since they float on the surface of the water, and thus are not suitable for use in
heavy seas.
Of the five basic types of MODUS (submersibles, jackups, semi-submersibles, drill ships, and drill barges), the
drill ships, semi-submersibles, and jackups are the three types that typically intake over 2 MOD of cooling water,
with drill ships having the highest intake rates. Among drill ships with known intake rates above 2 MGD, all
intake more than 50 MGD. Jackups and semi-submersibles do not generally appear to intake more than 20 MGD,
but many intake more than 2 MGD. Submersibles and drill barges generally have cooling water intake below the
2 MGD cutoff. Drilling operations use cooling water for purposes such as cooling engines, compressors,
winches, and pumps (U.S. EPA 2004).
C2-1.2 Existing MODUs and Their Associated Firms
Table C2-1 presents a listing of the existing MODUs' owners and the number of rigs they are currently operating
in the GOM (as of 2002). These include MODUs that may have CWIS intake rates that do not exceed 2 MGD.
Most MODUs are held by just a few firms. GlobalSantaFe, Transocean, Rowan Companies, Noble Corp. Parker
Drilling, Pride International, ENSCO International, and Diamond Offshore operate 326 MODUs, 85% of the
total.1 The firms that own MODUs generally work as contractors to the oil and gas exploration and production
industry. The provision of drilling and related services to U.S. and/or foreign offshore regions is the major focus
of their business.
1 This count includes 53 MODUs currently operating outside of U.S. waters, which EPA is treating as not regulated by the
rulemaking.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-1: Number of Existing MODUs and Parent Firms
Company
Atwood Oceanics
Blake Drilling & Workover
Blue Dolphin
BSI Drilling
Caspian Drilling Company
Cyprus Company
Diamond Offshore
Energy Equipment Resources
ENSCO International Inc
Global Santa Fe
Nabors Industries
Newfield Exploration Company
Noble Corp.
NR Marine
Ocean Rig Asa
Parker Drilling
Pride International
Rowan Companies Inc
Tetra Technologies
Transoceanlnc.
Workships BV
Total Number of Rigs
Number of Rigs
3
19
1
3
2
1
29
1
30
56
15
1
22
1
2
37
29
24
7
99
2
384
Source: ERG, 2004d; Table C2-2.
Table C2-2 presents the operating companies associated with the parent companies listed in Table C2-1. The total
number of potentially affected parent firms is 21. These affiliations were determined primarily on the basis of
Security and Exchange Commission (SEC) data. SEC maintains an online database (the Edgar Database), on
which all filings of publicly held firms are available. The 10K annual reports and 8K reports are used the most to
collect this information. The 10K annual reports to SEC generally list significant subsidiaries and are the source
of income statement and balance sheet information for characterizing financial conditions at a firm. Subsidiary
lists are used to confirm ownership relationships. The 8-K forms, in which significant changes to the firm must
be announced, are often the source of information on mergers and acquisitions.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-2: Owners of MODUs Currently Operating in COM and
Parent Company
Listed Owner
Parent Company
Atwood Deep Seas
Atwood Oceanics
Blake Workover & Drilling
BSI Drilling
Caspian Drilling Company
Chiles Offshore
Diamond Offshore
Drillmar
Energy Equipment Resources
ENSCO
ENSCO Offshore Company
Enserch Exploration
Falcon Drilling Company
Global Marine Deepwater
Global Marine Drilling Co.
Global Marine North Sea Inc
GlobalSantaFe
Global Santa Fe/Glomar
Glomar
Hercules Offshore
Mallard Bay Drilling
Marine Drilling Companies
Nabors
Nabors Offshore
Noble
Noble Drilling Corp
Noble Drilling US
Noble International
Noble Mexico
NR Marine
Ocean Rig Asa
Parker Drilling
Atwood Oceanics
Atwood Oceanics
Blake Workover & Drilling
BSI Drilling
Caspian Drilling Company
ENSCO International, Inc.
Diamond Offshore
Blue Dolphin
Energy Equipment Resources
ENSCO International, Inc.
ENSCO International ,Inc.
Newfield Exploration
Transocean, Inc.
GlobalSantaFe
GlobalSantaFe
GlobalSantaFe
GlobalSantaFe
GlobalSantaFe
GlobalSantaFe
Parker Drilling
Parker Drilling
Pride International
Nabors Industries
Nabors Industries
Noble Corp.
Noble Corp.
Noble Corp.
Noble Corp.
Noble Corp.
NR Marine
Ocean Rig Asa
Parker Drilling
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-2: Owners of MODUs Currently Operating in COM and
Parent Company
Listed Owner
Pride International
Pride Offshore
R&B Falcon
Rowan
Rowan Companies, Inc
Rowan/Rowan Companies, Inc.
Rowan/Rowan Drill, Inc.
Rowan/Rowan International Inc.
Seatanker's Management
Tetra Applied Technology
Transocean
Transocean Sedco Forex
Transocean/Deepwater Drilling LLC
Workships BV
Parent Company
Pride International
Pride International
Transocean, Inc.
Rowan Companies
Rowan Companies
Rowan Companies
Rowan Companies
Rowan Companies
Cyprus Company
Tetra Technologies
Transocean, Inc
Transocean, Inc
Transocean, Inc
Workships BV
Source: ERG, 2004d; SEC, 2003.
The identification of corporate parent is critical to determining which firms should be defined as small under SBA
standards. SBA defines the size of the firm to be that of the firm at the highest level of organization. Generally,
EPA characterized a firm at the higher level of organization if it was majority owned by the larger entity. This
approach is consistent with SBA's definition of affiliation. Small firms that are affiliated (e.g., 51% owned) by
firms defined as large by SBA's standards (13CFR Part 121) are not considered small for the purposes of
regulatory flexibility analysis (see Section Dl for more details). Affiliated firms can also be firms owned by the
same owners or that have the same corporate officers as another firm.
Another key piece of information needed for classifying firms as small or large is what industry the firm belongs
to. SBA defines small businesses differently for different types of industry and currently uses NAICS to classify
industries. SEC still requires companies to report their SIC code, not the NAICS code. Crosswalks between
NAICS and SIC, however, are available from Bureau of the Census (2004).
Once the parent firms were identified as above and the proper NAICS identified based on the reported SIC code
in the 10K reports and the NAICS crosswalk information, the revenue and employment (or other criteria, as
appropriate) for these parent firms were determined and compared to the SBA definition of small based on their
NAICS classification. Table C2-3 shows the SBA definitions for the industries identified.
It is assumed that all domestic firms that could not be identified as large are small businesses. Also, for the
purposes of this analysis, MODU operators owned by foreign firms are assumed to be large, even when data on
employment could not be found, because SBA defines a small business as one "with a place of business in the
United States, and which operates primarily in the United States or which makes a significant contribution to the
economy" (13 CFR Part 121). Only large businesses in this industry would meet the latter criteria, and few, if
any, foreign firms operate primarily in the United States.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-3 presents the number of MODU parent companies by NAICS and SIC code, where that information is
available. For the most part, those identified as small may not actually be small but are apparently privately
owned and no information was available to support defining them as large. Eight firms are foreign-owned and
presumed large. Industrial classification data are unavailable for foreign firms. Only two firms are positively
identified as small, out of the 21 total firms operating existing MODUs, but four companies believed to be
domestic could not be identified as small or large, so are presumed to be small. These firms (along with foreign-
owned firms) are not counted in the number of firms shown in Table C2-3, because their NAICS classifications
are also unknown.
Table C2-3: NAICS Classification of MODU Parent Companies
SIC code
1311
1381
1389
2819
NAICS code
211111
213111
213112
211112
NAICS Description
Crude Petroleum and Natural
Gas Extraction
Drilling Oil and Gas Wells
Support Activities for Oil and
Gas Operations
Natural Gas Liquid Extraction
SBA Definition of Small
500 employees
500 employees
$7.5 million in revenues
500 employees
Total Number of
Firms3
Small Large
2 0
0 6
0 1
0 1
a Does not include seven foreign firms and four unknown firms for which NAICS or SIC codes could not be located in publicly
available data.
Source: SEC, 2003; 13 CFR Part 121.
Table C2-4 presents the financial conditions at the parent firms listed in Table C2-2. A number of parent
companies are privately held or are foreign and do not have financial information available on the SEC database,
so information is not presented for these firms. The financial data shown are from 2002, the base year for the new
offshore oil and gas extraction facility analysis. The total assets of the MODU parent companies range from $8
million to $12.7 billion. The revenues range from $3 million to $2.7 billion. The three financial ratios calculated
in the table are the return on assets, return on equity, and the profit margin. Each of these ratios calculates the net
income as a ratio over the total assets, stockholder's equity, and total revenues respectively, and are commonly
used measures of financial health in the oil and gas industry. The return on assets percentages range from -29.5%
to 6.8%, and the profit margin ranges from -139% to 21%.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities
C2: Profile of OOGE Industry
Table C2-4: Financial Condition of MODU Parent Companies (2002)
Firms
Atwood Oceanics
Blake Drilling & Workover
Blue Dolphin
BSI Drilling
Caspian Drilling Company
Diamond Offshore
Energy Equipment
Resources
ENSCO International, Inc
GlobalSantaFe
Nabors Industries
Newfield Exploration
Company
Noble Corp.
NR Marine
Ocean Rig Asa
Parker Drilling
Pride International
Rowan Companies Inc
Cyprus Company
Tetra Technologies
Transocean Inc.
Workships BV
Size
Large
Small*
Small
Small*
Large**
Large
Small*
Large
Large
Large
Small
Large
Small*
Large**
Large
Large
Large
Large**
Large
Large
Large**
Type
Other
Other
Other
Other
Foreign
Independent
Other
Other
Foreign
Foreign
Independent
Independent
Other
Foreign
Other
Other
Other
Foreign
Other
Foreign
Foreign
No. of
Employees
800
11
3,766
4,300
8,800
15,261
488
3,747
2,898
10,100
5,237
1,391
13,200
Assets
($000)
$445,238
$7,775
$3,258,765
$3,061,500
$5,808,200
$2,315,753
$3,065,714
$953,325
$4,324,995
$2,054,504
$308,817
$12,665,000
Equity
($000)
$276,133
$5,765
$1,335
$1,967,000
$4,234,200
$1,009,231
$1,989,210
$300,626
$1,699,705
$1,131,777
$184,152
$7,141,000
Revenues
($000)
$149,157
$2,910
$752,561
$698,100
$2,017,700
$661,750
$986,356
$389,946
$1,269,774
$617,258
$242,606
$2,674,000
Net Income
($000)
$28,285
$62,520
$59,300
$277,900
$73,847
$209,503
($114,054)
($8,947)
$86,278
$8,899
($3,732,000)
Return on
Assets
6.35%
1.92%
1.94%
4.78%
3.19%
6.83%
-11.96%
-0.21%
4.20%
2.88%
-29.47%
Return on
Equity
10.24%
4683.15%
3.01%
6.56%
7.32%
10.53%
-37.94%
-0.53%
7.62%
4.83%
-52.26%
Profit
Margin
18.96%
8.31%
8.49%
13.77%
11.16%
21.24%
-29.25%
-0.70%
13.98%
3.67%
-139.57%
* Presumed small due to lack of data.
"Presumed large-foreign-owned.
Source: Table C2-2; SEC, 2003, U.S. EPA 2000.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
C2-1.3 Existing MODUs with Intake Rates Meeting Proposed Rule Criteria
a. Overview of Existing MODUs as Models for New MODUs
To provide information on whether new MODUs might be subject to Phase III regulation, EPA investigated
information obtained from a survey of MODUs undertaken for the Phase III rulemaking decision. Not all of the
MODUs owned by the firms listed above meet the applicability standard (at least 2 MOD design intake flow) and
other criteria of the proposed rule. EPA used a multi-step process to estimate the total number of existing MODUs
that would be regulated under the proposed rule if they were newly constructed (i.e., CWISs with total design
flow of at least 2 MOD or more or less than 25% of intake volume used for cooling water purposes).2 The
sampling frame used 384 MODUs as shown in Table C2-1). Among these 384 MODUs in this universe, EPA
sampled 30 MODUs in the survey. The survey weights for all MODUs is thus 384 divided by 30, or 12.8.
The following is the status of the economic survey respondents:
*• 23 respondents returned surveys
*• 8 respondents were determined to have CWISs that meet proposed rule criteria.
*• 15 respondents were determined to have CWISs that do not meet proposed rule criteria or were
not operating in U.S. waters
*• 4 surveys were not returned from among a group of MODUs whose CWIS intake rates were
known (based on voluntary data submitted during the 316(b) Phase I rulemaking)
*• 3 surveys were not returned among a group of MODUs whose CWIS intake rates were unknown.
Based on the ratio of respondents whose intake rates meet proposed rule criteria to total respondents (8/23), EPA
assumes that among the three MODUs with unknown intake rates, one will have intake rates meeting the
proposed rule's criteria and two will have intake rates not meeting these criteria. Thus, the total number of
MODUs in the economic survey sample whose intake rates are assumed to meet proposed rule criteria is
estimated to be 13. Multiplying this number by the survey weight of 12.8 yields an estimate of a total of 166
MODUs with intake rates meeting proposed rule criteria. Another six MODUs, originally thought to have intake
rates of less than 2 MOD were determined to have intake rates greater than 2 MOD, and these are added to the
estimate of MODUs with CWISs meeting proposed rule criteria, for a total of 172 MODUs meeting the proposed
rule's criteria - roughly half of the existing MODUs operating in U.S. waters (331 MODUs or about 52 %). EPA
therefore assumes that approximately half of new MODUs built might meet proposed rule criteria. Of the 172
MODUs meeting proposed rule criteria, EPA estimates that all new semi-submersibles and jackups will have
CWIS flow rates below 20 MGD, based on all surveyed semi-submersibles and jackups having rates below 20
MOD. EPA also estimates that all new drill ships will have rates above 50 MGD, based on all surveyed drill
ships having intake rates of this size. For more information on the estimate of existing MODUs that might meet
proposed rule criteria, see ERG, 2004a.
b. Current Drilling Activity and Trends
In 2002, 62 wells were drilled offshore in the Gulf of Mexico on Federal offshore leases. Offshore drilling rigs
are extremely capital intensive. Therefore, once a company has invested in a rig, it is in their best interest to keep
the rig in operation. Currently, the utilization of all rigs worldwide stands at 72%, which is down significantly
from 85% in 1998 (Drilling Contractor, 2003a). Trends seem to indicate increased utilization in certain regions
however, such as in the Gulf of Mexico. The jackup market, in particular, has shown pricing improvement in the
GOM. The Bureau of Land Management's Minerals Management Service (MMS) projects that oil production in
the Gulf of Mexico should be between 1.5 and 2.0 million barrels per day (bpd) by the end of 2005 and gas
production should be between 11 and 17 billion cubic feet per day (bcfd) by the same time period. Deepwater
2 For simplicity, the text refers to operations that meet either of these criteria as not meeting proposed rule criteria, even though the
proposed rule does not apply to existing facilities..
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
exploration and deep exploration in the shallow waters of the GOM are expected to continue to grow. Deepwater
exploration in the Gulf of Mexico is projected to be a significant source of new oil and gas supplies in future
years (Drilling Contractor, Nov/Dec 2001).
c. Estimates of New MODUs To Be Constructed
The progress report published by Offshore magazine shows that the majority of offshore production investment in
2003 is in the refurbishment of old rigs, however some new rigs are being built. In 2003, the majority of new
offshore construction comprised jackup rigs. Surveys indicate that 14 jackups were completed in 2003, and that
eight additional jackups are to be completed by 2005. Of the eight jackups to be completed, three are being built
with a new Rowan Companies design specifically introduced for deep shelf drilling in the shallow water of the
Gulf of Mexico (Offshore, July 2003). The outlook of the offshore industry shows increased growth in deepwater
drilling. Three companies are reported as having deepwater semi-submersibles completed by 2004. The
projections predict that up to 67% of oil production and 27% of gas production will come from deepwater drilling
by 2005. (Drilling Contractor, Nov/Dec 2001).
Since jackups and semi-submersibles are among the most frequent MODUs to have CWIS intake rates that would
meet proposed rule criteria, EPA focuses on these as an indication of how many MODUs might be built with
CWIS intake rates of concern. Given that 22 jackups are expected to be completed over the time period of 2003-
2005 (three years) (Drilling Contractor, 2003b), EPA assumes seven jackups might be built each year during the
time frame of the economic analysis; of this group (based on the assumption that half of all new MODUs would
meet proposed rule criteria, discussed above) EPA assumes four of these would be affected by the 316(b)
requirements. It is further assumed that about one semi-submersible will be built per year. To be conservative,
EPA assumes each of these semi-submersibles would meet proposed rule criteria. Drill ships may also be
constructed during the time frame of the analysis, but there are currently very few drill ships operating in the
GOM. Only 12 out of a total 384 MODUs operating in the GOM (3%) are drill ships. EPA conservatively
assumes three drill ships might be constructed over the entire 20-year time frame of the analysis, all of which are
assumed to meet proposed rule criteria.
The other two types of MODUs (submersibles and barges) are seldom associated with CWIS intake rates meeting
proposed rule criteria (U.S. EPA, 2004). EPA assumes no submersibles or barges with total design intake rates
meeting proposed rule criteria will be built during the time frame of the analysis. EPA assumes that half the
jackups and semi-submersibles will be built with proposed technologies in place to control intake of aquatic
species under a two MGD cutoff. The drill ships are assumed to be built with 50 MGD or greater intake rates, and
the jackups and semi-submersibles are assumed to be built with intakes having a total intake rate of less than 20
MGD, based on the intake rates of existing MODUs of these types in the survey.
C2-2 OIL AND GAS PRODUCTION PLATFORMS
C2-2.1 Overview
Oil and gas production operations generally take place on platforms or other structures. The primary areas of
offshore oil and gas production activity are the GOM, California, and Alaska. In shallow offshore waters,
platforms are the typical structure used to support the resource extraction activities. These activities may involve
drilling wells, producing oil and gas from wells, separating production streams, gathering and compressing gas,
and working over older wells to increase production. Platforms often support buildings for crews, including in
some cases, long-term living quarters.
There are several different types of platforms, and non-platform structures used in the GOM. Seven major types
of production systems are used in offshore oil and gas production.
*• The fixed platform is the most commonly used for shallow-water drilling. It is anchored directly
into the seabed with a deck to support living quarters etc. While it is primarily used for shallow
water drilling, it is economically feasible for depths up to 1,650 ft.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
*• The compliant tower is a flexible tower and piled foundation with a conventional deck. The
compliant tower differs from the fixed platform in that it can withstand large lateral forces.
Therefore, it is effective at greater depths and is typically used in water depths between 1,500 and
3,000 ft.
*• The Seastar platform is a floating mini-tension leg platform used for smaller deepwater reserves.
It is used in water depths from 600 to 3,500 ft.
*• A floating production system (FPS) is a semi-submersible with drilling and production
equipment. The FPS can be dynamically positioned using rotating thrusters. The FPS is used at
depths from 600 to 6,000 ft.
*• Another type of offshore platform is the Tension Leg platform (TLP). It is connected to he sea
floor with tension tendons. TLPs are used up to depths of 6,000 ft.
*• The Spar platform consists of a large diameter cylinder supporting a deck and is used in water
depths up to 3,000 ft.
*• The Subsea system can produce single or multiple wells using manifold pipeline systems. The
Subsea system is used for production at depths greater than 7,000 ft. (U.S. EPA, 2000). In this
system, all well completions are at the seafloor level, with piping leading to production platforms
in shallower water or nearby deepwater structures.
C2-2.2 Existing Platforms and Their Associated Firms
EPA's primary sources of data on platforms in most of the regions of concern (GOM and California) are from the
Department of the Interior, Minerals Management Service (MMS). MMS collects data on platforms, drilling, and
production from all of the platforms located in Federal waters (3 miles offshore in most locations, but 10 miles
beyond the Texas shoreline). Early investigations by EPA (U.S. EPA, 2004) indicated that water intakes for
cooling waters in near-shore regions of the Gulf (both in the coastal regions and in offshore State waters) appear
to be well below 2 MGD. Thus, EPA has focused only on the operations in Federal waters in the GOM.
Operations in the coastal subcategory and in State offshore waters of the GOM are therefore considered unlikely
to be affected by the rulemaking and are not discussed further.
a. Platforms in the GOM
Early in the process of identifying existing platforms where cooling water intake rates might be in the size range
of concern, EPA determined that the largest platforms and those in deepwater locations (1,000 feet of water depth
or greater) appeared the likeliest to have CWISs with at least 2 MGD of total flow (ERG, 2003). This finding was
based on voluntary data submissions from industry on a number of platforms operating in the GOM (ERG, 2004a,
DCN 7-3505). Based on this analysis, EPA divided the analysis in the GOM into several groups-platforms in
deep water (in depths of a 1,000 feet of water or more), shallow water platforms (< 1,000 feet) with 20 or more
slots available for wells (considered large platforms), and shallow water platforms with fewer than 20 slots (small
platforms). These groupings were used to stratify EPA's survey of platforms conducted for the proposed 316(b)
Phase III rulemaking.
Using a database compiled by MMS as of June 2003, EPA created a list of platforms located in the Gulf of
Mexico. The database was downloaded and counts of structures were noted. Abandoned platforms and platforms
without production equipment were eliminated from the platform count. The platforms were then categorized by
deepwater and shallow water, and 20+ wells and <20 wells. The counts are presented in Table C2-5. As the table
shows, the about 90% of platforms in the GOM are small platforms operating in shallow water. Only a very few
structures (generally not the typical fixed platforms) are found in the deepwater regions of the GOM. Currently
(2003 data) only 26 are considered built and operational in the MMS database.
C2-11
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-5: COM Platform Count
Category
Total Number of Platforms
Removed Platforms
Abandoned Platforms
Platforms without Production Equipment
Producing Platforms
Deep
Shallow
Deepwater
>=20 slots
<20 slots
Total Producing Platforms
26
209
2,194
2,429
Count
6,226
2,229
21
1,587
Source: MMS, 2003a.
These platforms are operated by a number of firms of different sizes and types. The potentially affected firms can
be divided into two basic categories. The first category consists of the major integrated oil companies, which are
characterized by a high degree of vertical integration (i.e., their activities encompass both "upstream"
activities—oil exploration, development, and production—and "downstream" activities—transportation, refining,
and marketing). The second category of affected firms consists of independents engaged primarily in exploration,
development, and production of oil and gas and not typically involved in downstream activities. Some
independents are strictly producers of oil and gas, while others maintain some service operations, such as contract
drilling and well servicing.
The major integrated oil companies are generally larger than the independents. As a group, the majors typically
produce more oil and gas, earn significantly more revenue and income, and have considerably more assets and
greater financial resources than most independents. Furthermore, majors tend to be relatively homogeneous in
terms of size and corporate structure. All majors are considered large firms under the Regulatory Flexibility Act
(RFA) guidelines and generally are C corporations (i.e., the corporation pays income taxes). Independents can
vary greatly by size and corporate structure. Larger independents tend to be C corporations; small firms might
also pay corporate taxes, but they also can be organized as S corporations (which elect to be taxed at the
shareholder level rather than the corporate level under subchapter S of the Internal Revenue Code). Small firms
also might be organized as limited partnerships, sole proprietorships, etc., whose owners, not the firms, pay taxes.
The proportions of majors and independents operating in the State offshore in the GOM has been changing over
the last dozen or more years. Except for the deepwater GOM, majors have generally been disinvesting in the
Gulf, selling their platforms to independents. Independents, because of their different cost structures and risk
profiles can often operate marginal platforms far longer than majors. Independents often have lower overheads.
Furthermore, many independents who operate platforms purchased from majors do not engage as extensively in
exploration, thus they may be tolerant of lower returns, since their risks are lower.
Table C2-6 summarizes the information developed using the MMS databases, listing the firms operating in the
Federal GOM. To identify parent companies and/or recent changes in ownership, EPA again used SEC's Edgar
database. Note that EPA's analysis is based primarily on the status of the industry as of year end 2002, reported
C2-12
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
in March 2003 (the date by which most firms must submit their 10K reports). Mergers and acquisitions continue
to occur among this group of firms.3
Table C2-6: Operators and Parent Companies of GOM Platforms
Operator Company
Parent Company
AEDC USA Inc
AGIP Petroleum Co Inc
AGIP Petroleum Exploration Co Inc
Amerada Hess Corporation
Anadarko E&P Company LP
Anadarko Petroleum Corporation
Apache Corporation
Apex Oil & Gas Inc
Arena Offshore LLC
ATP Oil & Gas Corporation
B T Operating Co
Barrett Resources Corporation
BHP Billiton Petroleum (Americas) Inc
Bois D'arc Offshore Ltd
BP America Production Company
BP Exploration & Production Inc
Burlington Resources Offshore Inc
Caim Energy USA Inc
Gallon Petroleum Operating Company
Calpine Natural Gas Company
Century Exploration Company
Chevron USA Inc
CNG Pipeline Company
Cockrell Oil Corporation
Comstock Offshore LLC
Conn Energy Inc
ConocoPhillips Company
Contour Energy E&P LLC
AOC Energy Development Company Ltd.
AGIP Petroleum Co Inc
AGIP Petroleum Co Inc
Amerada Hess Corporation
Anadarko Petroleum Corporation
Anadarko Petroleum Corporation
Apache Corporation
Apex Oil & Gas Inc
Arena Resources
ATP Oil & Gas Corporation
B T Operating Co
Williams Companies Inc
BHP Billiton Petroleum (Americas) Inc
Bois D'arc Offshore Ltd
BPPLC
BPPLC
Burlington Resources Inc
Caim Energy USA Inc
Gallon Petroleum Co
Calpine Corp
Century Exploration Company
ChevronTexaco
Dominion Resources Inc
Cockrell Oil Corporation
Comstock Resources
Conn Energy Inc
ConocoPhillips Company
Contour Energy Co
3 Note that all corporate ties could not be identified. Corporate parents are not obliged to list all subsidiaries, only
significant subsidiaries. Where no corporate ties could be identified, EPA assumed the operator listed was at the highest level
of corporate organization.
C2-13
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-6: Operators and Parent Companies of GOM Platforms
Operator Company
Parent Company
Delos Offshore Company LLC
Denbury Offshore Inc
Devon Energy Production Company LP
Devon SFS Operating Inc
Dominion Exploration & Production Inc
Duke Energy Field Services LP
Dunhill Resources Inc
Dynegy Midstream Services Limited Partnership
EEX Corporation
El Paso Production Company
El Paso Production Gom Inc
El Paso Production Oil & Gas Company
Energy Partners Ltd
Energy Resource Technology Inc
EOG Resources Inc
Equilon Pipeline Company LLC
ExxonMobil Corporation
Fairways Specialty Sales & Service Inc
Flextrend Development Company LLC
Forest Oil Corporation
Freeport McMoran Sulphur LLC
Garden Banks Gas Pipeline LLC
GOM Shelf LLC
Gryphon Exploration Company
Hall-Houston Oil Company
HC Resources LLC
Houston Exploration Company
Hunt Oil Company
Hunt Petroleum (AEC) Inc
J M Huber Corporation
J Ray McDermott Technology Inc
Juniper Energy LP
Kerr-McGee Corporation
Kerr-McGee Oil & Gas Corporation
El Paso Corp.
Denbury Resources
Ocean Energy Inc
Ocean Energy Inc
Dominion Resources Inc
Duke Energy Co
Dunhill Resources Inc
Dynagy Inc
Newfield Exploration Company
El Paso Corp.
El Paso Corp.
El Paso Corp.
Energy Partners Ltd
Energy Resource Technology Inc
EOG Resources Inc
Equilon Enterprises LLCa
Exxon Mobil Corporation
Fairways Specialty Sales & Service Inc
El Paso Corp.
Forest Oil Corporation
McMoran Exploration Co
Garden Banks Gas Pipeline LLC
GOM Shelf LLC
Gryphon Exploration Company
Hall-Houston Oil Company
HC Resources LLC
Houston Exploration Company
Hunt Oil Company
Hunt Petroleum (AEC) Inc
J M Huber Corporation
McDermott International Inc.
Juniper Energy LP
Kerr-McGee Corporation
Kerr-McGee Corporation
C2-14
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-6: Operators and Parent Companies of GOM Platforms
Operator Company
Parent Company
Linder Oil Company, a Partnership
LLOG Exploration Offshore Inc
Louis Dreyfus Natural Gas Corp
Magnum Hunter Production Inc
Manta Ray Offshore Gathering Company LLC
Marathon Oil Company
Maritech Resources, Inc
Matrix Oil & Gas, Inc
McMoRan Oil & Gas LLC
Merit Energy Company
Millennium Offshore Group Inc
Mission Resources Corporation
Mobil Oil Exploration & Production
Murphy Exploration & Production
Murphy Exploration & Production Company - USA
NCX Company LLC
Newfield Exploration Company
Nexen Petroleum USA Inc
Nippon Oil Exploration USA
Ocean Energy Inc
Offshore Energy I LLC
Panaco Inc
Petro Ventures Inc
Petrobras America Inc
Petroquest Energy LLC
Pioneer Natural Resources USA Inc
Pogo Producing Company
PRS Offshore LP
Remington Oil and Gas Corporation
Samedan Oil Corporation
Scana Petroleum Resources Inc
Seagull EnergyE&P Inc
Seneca Resources Corporation
Shell Frontier Oil & Gas Inc
Linder Oil Company, a Partnership
Amerada Hess Corporation
Dominion Resources Inc
Magnum Hunter Production Inc
El Paso Corp.
Marathon Oil Corp
Maritech Resources, Inc
Matrix Oil & Gas, Inc
McMoRan Exploration Co
Merit Energy Company
Millennium Offshore Group Inc
Mission Resources Corporation
ExxonMobil Corporation
Murphy Oil Corporation
Murphy Oil Corporation
NCX Company LLC
Newfield Exploration Company
Nexen Petroleum USA Inc
Nippon Oil Exploration USA
Ocean Energy Inc
Offshore Energy I LLC
Panaco Inc
Petro Ventures Inc
Petrobras America Inc
Petroquest Energy LLC
Pioneer Natural Resources Co
Pogo Producing Company
PRS Offshore LP
Remington Oil and Gas Corporation
Noble Energy Inc
Scana Petroleum Resources Inc
Ocean Energy Inc
National Fuel Gas Company
Royal Dutch/Shell Group
C2-15
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-6: Operators and Parent Companies of GOM Platforms
Operator Company
Parent Company
Shell Offshore Inc
Shell Oil Company
Spinnaker Exploration Company LLC
St Mary Energy Company
Stone Energy Corporation
Tarpon Offshore LP
Taylor Energy Company
TDC Energy Corporation
TDC Energy LLC
Texaco Exploration and Prod
The Louisiana Land and Exploration Company
Torch Energy Services Inc
TotalFinaElf E&P USA Inc
Transcontinental Gas Pipe Line Corporation
Transworld Exploration and Production Inc
Tri-Union Development Corporation
UMC Pipeline Corporation
Union Oil Company of California
Unocal Pipeline Company
Vastar Resources Inc.
Vintage Petroleum Inc
W & T Offshore Inc
Walter Oil & Gas Corporation
Westport Oil and Gas Company LP
Westport Resources Corporation
WFS - Offshore Gathering Company
William G Helis Company LLC
Williams Field Services - Gulf Coast Company LP
Williams Production RMT Company
Royal Dutch/Shell Group
Royal Dutch/Shell Group
Spinnaker Exploration Company LLC
St Mary Land & Exploration Co
Stone Energy Corporation
Tarpon Offshore LP
Taylor Energy Company
TDC Energy LLC
TDC Energy LLC
ChevronTexaco
Burlington Resources Inc
Torch Offshore
TotalFinaElf E&P USA Inc
Transcontinental Gas Pipe Line Corporation
Transworld Exploration and Production Inc
Tri-Union Development Corporation
UMC Pipeline Corporation
Unocal Corp.
Unocal Corp.
BPPLC
Vintage Petroleum Inc
W & T Offshore Inc
Walter Oil & Gas Corporation
Westport Oil and Gas Company LP
Westport Resources Corporation
Williams Companies Inc
William G Helis Company LLC
Williams Companies Inc
Williams Companies Inc
a Joint venture between Royal Dutch/Shell Group and Texaco currently operating as Shell Oil Products U.S. Shell
bought Texaco's interests in 2002 (Alexander's Oil and Gas Connections, 2002).
Source: MMS, 2003a; SEC, 2003.
C2-16
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
It is important to note that companies may share ownership of a platform. In general, the company listed as the
operator in the MMS databases is the owner or largest share holder of the platform, but this is not always the case.
The economic analyses in this report, however, make the simplifying assumption that only one firm owns a
platform. In reality, the impacts from regulatory costs to a platform might be shared by several firms.
The same methodology used to identify small firms in the MODU profile (Section C2-1) is used for this profile.
Table C2-7 lists the numbers of firms in the GOM by their NAICS definition.4 Also listed is the SIC code, which
is the identifier used in the 10K reports. In the table, NAICS and SICs are mapped in the key industry sectors
represented by firms operating in the GOM.
Table C2-7: Count of Firms by SIC and NAICS Code
SIC code NAICS code
NAICS Title
SBA Size Standard
GOM
Number of Firms
Small
Large
1311
1389
2911
3443
4911
4922
4924
211111
213112
324110
221112
486210
221210
Crude Petroleum and Natural
Gas Extraction
Support Activities for Oil and
Gas Operations
Petroleum Refineries
Several industries
Fossil Fuel Electric Power
Generation
Pipeline Transportation of
Natural Gas
Natural Gas Distribution
500 employees 19
$7.5 million in revenues 1
1,500 employees 0
750 employees3 0
4.0 million megawatt hours 0
$6.0 million in revenues 1
500 employees 0
12
a Highest number of employees defining small among the group of industries that 3443 has been split into.
Note: Does not include 37 firms considered domestic and 10 foreign firms for which NAICS or SIC codes could not be located in
publicly available data.
Source: SEC, 2003, 13 CFR Part 121.
As Table C2-7 shows, the predominant firm types operating in the GOM are those in the oil and gas extraction
NAICS and the refineries NAICS. A total of 21 firms were identified as small. Another 37 non-foreign firms
could not be identified as small or large thus are considered small for purposes of analysis. As was done for
MODU firms, all foreign firms were assumed to be large. Once EPA accounted for these relationships and
transactions, EPA's count of potentially affected firms in the Gulf of Mexico becomes 96 firms, of which 10 are
listed as majors, and 10 firms are identified as foreign owned (not including Shell Oil, a major that is affiliated
with Royal Dutch/Shell Group, but which reports to SEC). Non-foreign non-majors total 76 firms, including
those not previously identified as majors or independents (U.S. EPA, 2000).
Table C2-8 shows the firms considered potentially affected firms operating in the Federal GOM and their
relevant financial data. These data include number of employees, assets, liabilities, and revenues, along with
several ratios that provide a general indication of financial health. Note that blank lines in Table C2-8 indicate
firms that are likely to be privately held or are foreign and for which no public data have been located.
4 The North American Industry Classification System (NAICS) supercedes the Standard Industrial Classification (SIC)
codes, however, the transition to the new system is still in progress.
C2-17
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
The ratios used to establish company financial status are profitability ratios, namely: return on assets, return on
equity, and profit margin. As described earlier, these three financial indicators are calculated as the ratio of the
net income to the total assets, stockholders' equity, and net sales respectively. While individually these ratios
only tell a part of the financial stability of a company, when analyzed together, they give a much clearer picture of
a company's financial health.
Of these operators in the Gulf, EPA has identified 58 (60%) that either meet the SBA's definition of a small
business (which for the oil and gas extraction industry is defined as a business entity with 500 or fewer employees
or for the oil field service industry as a business entity with $5 million or less in annual revenues) or that cannot
be identified as large because their employment or revenue figures are not known. These latter firms might be
privately owned, or they do not file with the SEC as an independent firm but their parent company could not be
identified. Most of these firms, however, are not likely to be involved in constructing new oil and gas platforms
that would be subject to Phase III regulation, as discussed below. Small firms that might be affected by the rule
are discussed in more detail in Chapter Dl: Regulatory Flexibility Analysis.
Table C2-8 also presents summary financial ratios for the large and small firms. Among publicly held firms,
median return on assets for the group is 2.65%, median return on equity is 4.89%, and median profit margin (net
income/revenues) is 5.71%, according to 2002 financial data. Among these publicly held firms, 35 out of 48
firms, or 73%, reported positive net income for 2002.
b. California Platforms
California has a total of 33 platforms; 9 located in State waters and 24 in State waters. Six companies operate
platforms in State water off the California shore: Aera Energy LLC, Arguello, Inc., ExxonMobil, Nuevo Energy,
Pacific Operators Offshore, and Venoco Inc. Two deepwater (>1,000 ft.) platforms operate in CA State waters,
both of which are owned by ExxonMobil. Financial information for these companies is presented in Table C2-9
Aera Energy LLC, ExxonMobil, Nuevo Energy, and Venoco Inc. also operate platforms in State waters along
with two additional companies (Occidental Petroleum Co. and Rincon Island Limited Partnership). The
maximum depth of platform drilling in State waters is 211 ft. The maximum depth in State waters is 1,198 ft.
ExxonMobil and Shell (owning the majority of the joint venture company, Aera Energy) are the only majors
operating in California State waters. The other companies are all unidentified. Nuevo Energy Company and
Arguello (a subsidiary of Plains Exploration and Production) are the only companies specifically identified as a
small business, with 412 employees and 354 employees (at the parent companies), respectively. Venoco Pacific
Operators, and Rincon Island, LP, are assumed small for lack of data. One of the firms in California is classified
as NAICS 324110 (SIC 2911), Petroleum Refineries, one firm is classified as NAICS 422720 (SIC 5172),
Petroleum and Petroleum Products Wholesale, and two additional firms are listed as NAICS 211111 (SIC 1311),
Crude Petroleum and Natural Gas Extraction. The NAICS classification of the remaining firms is undetermined.
C2-18
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities
C2: Profile of OOGE Industry
Table C2-8:
Company Name
AOC Energy Development
Corp.
AGIP Petroleum Co Inc
Amerada Hess Corporation
Anadarko Petroleum Corp.
Apache Corporation
Apex Oil & Gas Inc
Arena Resources
ATP Oil & Gas
Corporation
B T Operating Co
BHP Billiton Petroleum
(Americas) Inc
Bois D'arc Offshore Ltd
BPPLC
Burlington Resources
Offshore Inc
Cairn Energy USA Inc
Gallon Petroleum
Operating Company
Calpine Corporation
Century Exploration Co.
ChevronTexaco
Cockrell Oil Corporation
Comstock Resources
Conn Energy Inc
ConocoPhillips Company
Contour Energy E & P
Size
Large**
Large**
Large
Large
Large
Small*
Small
Small
Small*
Large**
Small*
Large
Large
Large**
Small
Large
Small*
Large
Small*
Small
Small*
Large
Small
Type
Foreign
Foreign
Major
Independent
Independent
Other
Independent
Independent
Other
Foreign
Other
Major
Independent
Foreign
Independent
Other
Independent
Major
Independent
Independent
Other
Major
Independent
Number of
Employees
11,662
3,800
1,958
5
53
73,350
2,003
19
100
3,353
53,014
62
>10,000
47
Financial Conditions Among GOM Firms
Assets ($000) Equity Revenues
($000) ($000)
$2,455,425 $1,608,133
$1,280,000 $3,860,000
$9,459,851 $544,000 $2,559,873
$6,050 $5,125 $1,657
$182,055 $38,547 $94,423
$2,865,000 $2,815,000
$164,090,000 $178,721,000
$10,645,000 $3,832,000 $2,964,000
$696,100 $70,000
$410,613 $140,960 $67,108
$23,266,992 $7,457,899
$77,359,000 $31,604,000 $99,049,000
$683,071 $215,662
$76,836,000 $56,748,000
Net Income Return on Return on
($000) Assets Equity
$825,000 64.45%
$554,329 5.86% 101.90%
$403 6.66% 7.86%
($4,700) -2.58% -12.19%
$718,000 25.06%
$10,422,000 6.35%
$454,000 4.26% 11.85%
$29,100 4.18%
($1,671) -0.41% -1.19%
$118,618 0.51%
$1,132,000 1.46% 3.58%
($295,000) -0.38%
Profit
Margin
21.37%
21.65%
24.32%
-4.98%
25.51%
5.83%
15.32%
41.57%
-2.49%
1.59%
1.14%
-0.52%
C2-19
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities
C2: Profile of OOGE Industry
Table C2-8: Financial Conditions Among GOM Firms
Company Name
LLC
Denbury Resources Inc
Dominion Resources
Duke Energy Co.
Dunhill Resources Inc
Dynegy Inc.
El Paso Corp.
Energy Partners Ltd
Energy Resource
Technology Inc
EOG Resources Inc
Equilon Enterprises
ExxonMobil Corporation
Fairways Specialty Sales &
Service Inc
Forest Oil Corporation
Garden Banks Gas Pipeline
LLC
GOM Shelf LLC
Gryphon Exploration
Company
Hall-Houston Oil Company
HC Resources LLC
Houston Exploration
Company
Hunt Oil Company
Hunt Petroleum (Aec) Inc
J M Huber Corporation
Size
Small
Large
Large
Small*
Large
Large
Small
Small*
Large
Large
Large
Small*
Small
Small*
Small*
Small*
Small*
Small*
Large
Small*
Small*
Small*
_ Number of Assets ($000) Equity Revenues Net Income Return on Return on
ype Employees ($000) ($000) ($000) Assets Equity
Independent 356 $895,292 $366,797 $285,152 $46,795 5.23% 12.76%
Other 17,000 $37,909,000 $10,218,000 $1,362,000 3.59%
Other 22,000 $60,966,000 $15,663,000 $1,034,000 1.70%
Other
Other 1,524 $20,030,000 $2,087,000 $5,553,000 ($1,955,000) -9.76% -93.68%
Other 11,885 $46,224,000 $8,377,000 $12,194,000
Independent 132 $384,220 $191,922 $134,031 ($8,799) -2.29% -4.58%
Independent
Major 1,000 $3,814,006 $1,672,395 $1,095,036 $87,173 2.29% 5.21%
Major
Major 92,500 $153,000,000 $74,597,000 $205,000,000 $11,460,000 7.49% 15.36%
Other
Independent 493 $1,924,681 $921,211 $475,694
Other
Other
Independent
Independent
Other
Independent 145 $1,138,816 $592,789 $345,381 $70,494 6.19% 11.89%
Independent
Independent
Independent
Profit
Margin
16.41%
13.33%
6.60%
-35.21%
-6.56%
7.96%
5.59%
20.41%
C2-20
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities
C2: Profile of OOGE Industry
Table C2-8: Financial Conditions Among GOM Firms
Company Name
Juniper Energy LP
Kerr-McGee Corporation
Linder Oil Company, a
Partnership
Magnum Hunter
Production Inc
Marathon Oil Company
Maritech Resources Inc
Matrix Oil and Gas
McDermott International
Inc
McMoRan Exploration Co.
Merit Energy Company
Millennium Offshore
Group Inc
Mission Resources Corp.
Murphy Oil Company
National Fuel Gas
Company
NCX Company LLC
Newfield Exploration
Company
Nexen Petroleum USA Inc
Nippon Oil Exploration U
SA
Noble Corp.
Ocean Energy Inc
Offshore Energy I LLC
Panaco Inc
Size
Small*
Large
Small*
Small
Large
Small*
Small*
Large
Small
Large**
Large**
Small
Large
Large
Small*
Small
Large**
Large**
Large
Large
Small*
Small
Number of Assets ($000) Equity
ype Employees ($000)
Other
Independent 4,470 $9,909,000 $2,536,000
Other
Independent 221 $251,069 $72,152
Major 28,166 $4,479,000 $5,082,000
Other
Other
Other $128,171 ($416,757)
Independent 18 $72,448 ($64,431)
Foreign
Foreign
Independent 90 $342,404 $65,377
Major $3,885,775 $1,593,553
Other
Independent
Independent 488 $2,315,753 $1,009,231
Foreign 1,767 $41,548,000
Foreign $11,076,000
Independent 624 $3,065,714 $1,989,210
Independent 948 $131,613 ($825)
Independent
Independent 21
Revenues
($000)
$2,540,000
$48,834
$31,720,000
$1,748,681
$43,768
$105,464
$3,966,516
$661,750
$1,971,300
$34,894,000
$986,356
$47,483
Net Income Return on Return on
($000) Assets Equity
($485,000) -4.89% -19.12%
($3,512) -1.40% -4.87%
$516,000 11.52% 10.15%
($776,394) -605.75% 186.29%
$17,041 23.52% -26.45%
($38,484) -11.24% -58.86%
$111,508 2.87% 7.00%
$73,847 3.19% 7.32%
$287,200 0.69%
$269,000 2.43%
$209,503 6.83% 10.53%
$2,227 1.69% -269.94%
Profit
Margin
-19.09%
-7.19%
1.63%
-44.40%
38.93%
-36.49%
2.81%
11.16%
14.57%
0.77%
21.24%
4.69%
C2-21
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities
C2: Profile of OOGE Industry
Company Name
Petro Ventures Inc
Petrobras America Inc
Petroquest Energy LLC
Pioneer Natural Resources
USA Inc
Pogo Producing Company
PRS Offshore LP
Remington Oil and Gas
Corporation
Royal Dutch/Shell Group
Scana Petroleum Resources
Inc
Spinnaker Exploration
Company LLC
St Mary Energy Company
Stone Energy Corporation
Tarpon Offshore LP
Taylor Energy Company
TDC Energy Corporation
LLC
Torch Offshore Inc.
TotalFinaElf E&P USA Inc
Transcontinental Gas Pipe
Line Corporation
Transworld Exploration
and Production Inc
Tri-Union Development
Corporation
UMC Pipeline Corporation
Size
Small*
Large**
Small
Large
Small
Small*
Small
Large
Small*
Small
Small
Small
Small*
Small*
Small*
Small
Large**
Large
Small*
Small*
Small*
Table C2-8:
Number of
Employees
Other
Foreign
Independent 57
Independent 979
Independent 219
Independent
Independent 29
J^J01 111,000
Foreign
Other
Independent 65
Independent 185
Independent 210
Other
Independent
Independent
Other 362
Foreign
Other 1,261
Other
Independent
Independent
Financial Conditions Among GOM Firms
Assets ($000) Equity Revenues Net Income Return on Return on
($000) ($000) ($000) Assets Equity
$132,063 $97,770 $48,141 $2,307 1.75% 2.36%
$3,455,100 $1,374,900 $717,400 $26,700 0.77% 1.94%
$2,426,608 $824,885 $605,500 $87,954 3.62% 10.66%
$288,993 $193,660 $104,186 $11,332 3.92% 5.85%
$152,691,000 $235,598,000 $9,419,000 6.17%
$842,715 $692,977 $188,326 $31,579 3.75% 4.56%
$537,139 $299,513 $196,394 $27,560 5.13% 9.20%
$1,179,371 $577,488 $377,495 $85,229 7.23% 14.76%
$101,904 $79,867 $67,990 $395 0.39% 0.49%
$4,969,532 $2,476,513 $1,276,282 $163,041 3.28% 6.58%
$12,665,000 $7,141,000 $2,674,000 ($3,732,000) -29.47% -52.26%
Profit
Margin
4.79%
3.72%
14.53%
10.88%
4.00%
16.77%
14.03%
22.58%
0.58%
12.77%
-139.57%
C2-22
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities
C2: Profile of OOGE Industry
Company Name
Unocal
Vintage Petroleum Inc
W & T Offshore Inc
Walter Oil & Gas
Corporation
Westport Oil and Gas
Company LP
Westport Resources
Corporation
William G Helis Company
LLC
Williams Company
Size
Large
Large
Small*
Small*
Small*
Small
Small*
Large
Type
Independent
Independent
Independent
Independent
Other
Independent
Independent
Other
Table C2-8:
Number of
Employees
6,615
690
333
7,300
Financial Conditions Among GOM Firms
Assets ($000) Equity
($000)
$10,760,000 $3,298,000
$1,775,804 $570,992
$2,233,451 $1,132,006
$34,988,500 $5,049,000
Revenues Net Income
($000) ($000)
$5,297,000 $331,000
$664,263 ($143,664)
$400,398 ($28,566)
$5,608,400 ($754,700)
Return on Return on Profit
Assets Equity Margin
3.08% 10.04% 6.25%
-8.09% -25.16% -21.63%
-1.28% -2.52% -7.13%
-2.16% -14.95% -13.46%
Note: Other is used if no designation for major or independent is provided in U.S. EPA, 2000.
* Presumed small due to lack of data.
** Presumed large - Foreign-owned.
Source: Table C2-6; SEC, 2003; U.S. EPA, 2000.
C2-23
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-9: Financial Information for Companies Operating Platforms in California Waters ($000)
Company Name
Royal/Dutch Shell
(Aera Energy)
Plains Exploration and
Production (Arguello)
ExxonMobil
Nuevo Energy
Company
Pacific Operators
Offshore
Venoco, Inc.
Rincon Island Limited
Partnership
Occidental Petroleum
Corp.
Size
Large
Small
Large
Small
Small3
Small"
Small3
Large
Type Employees Total Assets
Major 111,000 $152,691,000
Other 354 $550,880
Major 92,500 $153,000,000
Independent 412 $855,171
Other
Independent
Other
Major 7,244 $16,548,000
Equity Revenues
$235,598,000
$173,820 $178,038
$74,597,000 $205,000,000
$174,276 $323,056
$6,318,000 $7,491,000
Net Income
$9,419,000
$26,237
$11,460,000
$12,275
$989,000
a Presumed small due to lack of data.
Source: ERG, 2004c; SEC, 2003; U.S. EPA, 2000.
c. Alaska Operations
There are two major regions of oil and gas production in Alaska. The first, the North Slope region, operates
generally from onshore locations or on gravel islands. Platforms are not used here.
The second region, Cook Inlet, Alaska, is divided into two regions: Upper Cook Inlet, which is in State waters
and is governed by the Coastal Oil and Gas effluent guidelines; and Lower Cook Inlet, which is considered
Federal OCS waters and is governed by the Offshore Oil and Gas Effluent Guidelines. This section refers
primarily to Upper Cook Inlet.
There are 16 platforms and 3 onshore production facilities in Cook Inlet, Alaska, of which two platforms have
ceased operation and two platforms have suspended operation. The platforms are owned by five companies:
Forest Oil Corporation, Marathon Oil Corp., ConocoPhillips, XTO Energy, and Unocal Corp. Marathon owns the
two out-of-operation platforms and is not considered a potentially affected firm in Alaska. Unocal Corp. operates
the majority of platforms in the Cook Inlet region, with 10 platforms and 2 onshore treatment facilities. Only one
company operating in Cook Inlet waters, Forest Oil, is an independent and considered a small business. XTO is
also an independent, but is a large business. The remaining operators are all listed as majors, as is the operator
(BP) of the Duck Island structure in the Beaufort Sea (North Slope). Two of the firms in Alaska are listed under
NAICS 324110 (SIC 2911), Petroleum Refineries, and the three additional firms are listed as NAICS 211111
(SIC 1311), Crude Petroleum and Natural Gas Extraction. Financial data for these firms are presented in Table
C2-10
The Department of Fish and Game in Alaska developed a standard lease requirement for all water intake pumps to
be fitted with a screened enclosure. The requirement further States that the water intake at the surface of the
screen enclosure should not exceed 0.1 feet per second. For the purposes of the regulatory analysis, therefore, any
new platforms in the Cook Inlet or the North Slope regions are considered to be potentially affected by the 316(b)
requirements for entrainment, but not impingement, since the Alaska requirement meets or exceeds proposed
316(b) impingement standards.
C2-24
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Table C2-10: Financial Information for Companies Operating Platforms in Alaska ($000)
Company Name Size
Type
Employees Tot. Assets
Equity
Revenues
Net Income
Forest Oil
BP
ConocoPhillips
XTO Energy
Unocal
Small
Large
Large
Large
Large
Independent
Major
Major
Independent
Major
493
73,350
>10,000
867
6,615
$1,924,681
$164,090,000
$76,836,000
$2,648,193
$10,760,000
$921,211
$907,786
$3,298,000
$475,694
$178,721,000
$56,748,000
$810,163
$5,297,000
$21,276
$10,422,000
($295,000)
$186,100
$331,000
Source: ERG, 2004c; SEC, 2003; U.S. EPA, 2000.
C2-2.3 Existing Platforms with Intake Rates Meeting Proposed Rule Criteria
a. Overview of Existing Platforms as Model for New Platforms Subject to Phase III Regulation
Very few existing platforms appear to have CWISs with intake rates that meet the proposed rule's criteria. Most
of the existing platforms with CWISs of this size are located in the deepwaters of GOM and in California and
Alaska waters (Cook Inlet). Using the same approach as outlined for determining existing MODUs with CWIS
intake rates meeting proposed rule criteria, EPA makes the following estimates, using the survey conducted for
the oil and gas sectors to support this rulemaking and voluntary data submitted by industry. See also ERG
(2004b).
EPA stratified the survey in the GOM into three strata: deepwater, shallow large (20+ slot platforms), and shallow
small (fewer than 20 slots).
The survey universe of deepwater structures was 24 (two structures were removed from the universe prior to the
survey because their CWIS intake rates were known to be less than 2 MGD). For the survey, EPA sampled four
facilities. There were no non-respondents. Only one of the four reported data showing them to have CWIS intake
rates meeting proposed rule criteria. Thus EPA estimated that six deepwater structures would have CWIS intake
rates meeting proposed rule criteria (24 divided by 4 is a weight of 6; with one respondent reporting an intake rate
of 2 MGD or more, this produces an estimate of six total new structures meeting proposed rule criteria).
However, earlier data (see ERG, 2004a) indicate that eight structures in the deepwater have CWIS intake rates
meeting proposed rule criteria. EPA used the higher number of structures to estimate the proportion of existing
structures with CWISs meeting the proposed rule criteria to total structures in the deepwater. Given eight
structures meeting proposed rule criteria and 24 total structures, EPA believes that about 1/3 of deepwater
structures to be built will be equipped with intakes meeting the proposed rule's criteria. Only one existing
deepwater structure has a total intake rate of over 20 MGD, and none have a total rate of over 50 MGD. All firms
currently operating multi-well structures in the deepwater GOM with CWIS rates that meet criteria are large.
For shallow water large platforms, EPA determined that existing 206 exluding platforms were either known to
have CWISs with intake rates meeting proposed rule criteria or their intake rates were unknown (an additional 3
platforms were known to have CWIS intake rates less than 2 MGD and were dropped from the sampling frame).
EPA sampled 33 platforms among the large platform group. Three of these were nonrespondents. No additional
platforms with intake rates meeting proposed rule criteria were detected using the survey. The nonrespondents
were thus assumed also to have CWIS intake rates not meeting proposed rule criteria. Four platforms, however,
were known to have CWISs meeting proposed rule criteria based on earlier data (see ERG, 2004a). None of these
were sampled. EPA therefore assumes only these four platforms have intake rates meeting proposed rule criteria.
These platforms are owned by large firms (ExxonMobil and Marathon). Thus EPA assumes that if any large
platforms with CWIS intake rates meeting proposed rule criteria were to be built, they would be built by large
firms.
C2-25
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
For shallow small platforms, EPA determined that 2,194 platforms were in the universe of platforms in the
Federal GOM. The vast majority of these platforms have unknown CWIS intake rates. Four such platforms were
identified prior to EPA's Phase III Survey as having CWIS intake rates exceeding 2 MOD (ERG, 2004a). None
of these was sampled. A total of 18 platforms with unknown CWIS intake rates were sampled (all responded),
but EPA determined that none of the sampled platforms had total design flow rates meeting proposed rule criteria.
Although this is a very small sample, this finding is bolstered by EPA's observations that platforms in State
waters are unlikely to have CWIS with intake rates totaling 2 MOD or more (ERG, 2004a). Platforms in State
waters and small platforms in Federal waters are generally similar structures. EPA therefore assumes that only
four small platforms located in the shallow water GOM have CWIS intakes meeting proposed rule criteria. These
four platforms are owned by ExxonMobil and BP, thus no small firms are estimated likely to build platforms with
greater than 2 MGD intake rates in shallow water.
In the GOM, therefore, EPA estimates that a total of 16 existing platforms have CWIS intake rates meeting
proposed rule criteria. All are owned by large firms, and most operate in the deepwater regions.
In California, EPA determined that 20 platforms either have CWIS intake rates totaling 2 MGD or more or their
CWIS intake rates were unknown (13 platforms with known intake rates were eliminated from the sampling
frame because their total intake was less than 2 MGD). EPA sampled 3 of these 20 platforms. Only one was
found to have an intake rate meeting proposed rule criteria. EPA thus assumes seven existing platforms in
California have total intake rates meeting proposed rule criteria (20 divided by 3 is a weight of 6.7, which yields 7
platforms weighted). A total of six platforms are known from earlier data (see ERG, 2004a) to have intakes rates
meeting proposed rule criteria, including the surveyed platform. Three have intake rates greater than 20 MGD but
less than 50 MGD. Of the six platforms with flow data showing rates meeting proposed rule criteria, three of
these are owned by a small business (Plains Exploration and Production/Arguello). The remainder are owned by
large businesses (Aera Energy, a joint venture between Shell and ExxonMobil, and ExxonMobil).
In Alaska, EPA determined that 19 platforms/production facilities are in the survey universe (one platform was
known to have a total CWIS intake rate of less than 2 MGD and was dropped from the sampling frame). EPA
sampled two platforms, but only one was determined to have a CWIS intake rate meeting proposed rule criteria.
EPA therefore estimates that there are 10 platforms in Alaska with intakes that meet proposed rule criteria (19/2 is
a weight of 9.5). Five of these (all located in Cook Inlet) have CWIS data showing them to have CWISs meeting
proposed rule criteria (ERG, 2004a). Of these structures with known CWISs of this size, all are platforms owned
by Unocal. Based on this, EPA might assume no small businesses currently operating would be affected in
Alaska. However, the most recently built platform in Cook Inlet, Osprey, was constructed by a small firm
(Osprey's CWIS intake rates are unknown). To be conservative, EPA assumes that a small firm, much like Forest
Oil (Osprey's owner), might be the type of firm to build a new structure in Alaska and such a structure might have
CWIS intake rates meeting proposed rule criteria. However, it is also entirely likely that no such structures will
be built within the time frame of the analysis.
In summary, there are 16 platforms in the GOM, seven platforms in California, and 10 platforms in Alaska, for a
total of 33 existing platforms that meet proposed rule criteria. Of these, three platforms or structures (one in the
deepwater and two in California) have CWIS intake rates greater than 20 MGD, and one platform (California) has
an intake rate greater than 30 MGD. No platforms have CWIS intake rates exceeding 50 MGD.
b. Current Oil and Gas Production Levels and Trends
In 2002, 555 million bbls of oil and 4.5 million MMcf of gas were produced in the GOM. Fifty nine% of all oil
production in the GOM now comes from deepwater wells (MMS, 2003b). MMS has been using incentives such
as royalty relief to promote drilling of deep gas wells in GOM over the past few years. In recent years, the
drilling of such wells has increased and trends show a continuation of deep gas drilling and exploration in GOM.
As technology advances and more deep gas wells are drilled, reserve estimates are being revised as more gas is
presumed recoverable. Deep gas wells in the GOM consist of deepwater drilling and deep shelf drilling in
shallow waters. Deep shelf gas production increased by 137 Bcf from 2000 to 2002. Approximately 20% of all
GOM exploration drilling was at greater than 15,000 ft. at the end of 2003. As the industry gains more
experience in deep gas drilling, and the technology continues to advance, experts predict that this trend will
C2-26
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
continue to be a substantial percentage of gas exploration and production in GOM (Drilling Contractor, Jan./Feb.
2004).
Standard & Poor's annual Report Card of the Oil and Gas industry in 2003 predicted that oil prices would average
approximately $19 per barrel, and that natural gas prices would average $3 per million Btu (MMBtu) (S&P,
2003). These price estimates were conservative, especially in light of the potential volatility in the market caused
by the war in Iraq. S&P stated factors such as rising non-OPEC production, slow economic growth, and the
resumption of Venezuelan operations as potential factors in lowering oil prices. In 2000, OPEC developed a price
band mechanism which would adjust production to keep price baskets within the range of $22/bbl to $28/bbl.
OPEC has rarely used the mechanism and prices have fluctuated outside of the determined range a number of
times since the band's inception. OPEC has, however, maintained a stable price of $20-$22 per barrel in recent
years, (Drilling Contractor, Nov/Dec 2003a). Currently, U.S. crude prices for the benchmark Texas Upper Gulf
Coast crude is $27.25 per bbl (OGJ, February 16, 2004). The economic analysis employs long run wellhead oil
and gas prices used by 316(b) survey respondents to project future platform fmancials.
S&P also noted that natural gas in North America (onshore and offshore) has shown a 5% annual decline in
production. In 2002, production began well over 20% greater than the 5 year average, but the year ended with
production 15% lower than that same mark (S&P, 2003). Similar production trends in Canada, the most
important source of natural gas imports for the U.S., create speculation of rising natural gas prices. Recently
(February 4, 2004), the Henry Hub gas price (a leading gas benchmark) was $5.20/MMBtu
(http://www.wtrg.com/daily/oilandgasspot.html). Despite the current price level, Drilling Contractor predicts that
prices will decline over the next two years, falling to a range of $3.50 to $4.50 /MMbtu from 2004 to 2006.
(Drilling Contractor, Nov/Dec 2003a). U.S. oil demand is predicted to increase by 1.5% each year while existing
fields should deplete at the same rate. The demand for natural gas is predicted to increase as well, albeit at a
slower rate (1%).
c. Estimate of Platforms To Be Built That May Be Affected by the Proposal
In the deepwater region, EPA determined, based on MMS data, that approximately 2 to 4 structures are built each
year (see Figure C2-1 and Table C2-11). EPA assumes that an average of three such deepwater structures are
completed each year. EPA notes that out of 24 total structures in the deepwater as of 2003, 8 are estimated to
meet proposed rule criteria, or about a third of the total. EPA thus assumes that one structure per year out of the
three installed annually might have intakes meeting proposed rule criteria. Because only one structure currently
has a CWIS intake rate of greater than 20 MGD (and none have a CWIS intake rate of more than 30 MGD), EPA
assumes that only one structure out of 10 would be built having a CWIS intake rate of 20 MGD or more. This
would mean that EPA estimates two structures would be built with these intake rates over the 20-year
construction time frame.
All of these structures are assumed to be constructed by large firms. Only large firms have built structures in the
deepwater GOM, except for a few subsea completions, which have not been identified as associated with intake
rates meeting proposed rule criteria. This scenario is likely to continue, given the resources required to construct
deepsea structures, which sometime exceed $1 billion dollars (U.S. EPA, 2000).
C2-27
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Year
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
Note: 2003 is a partial year only.
Source: MMS, 2003b.
Table C2-11: Count
Deepwater Platforms
0
2
0
2
1
4
3
2
4
2
0
of Platform Installations
Platforms in Shallow Water with
Greater than or Equal to 20 Wells
1
4
0
1
0
2
0
0
0
0
0
Platforms in Shallow Water
with Less than 20 Wells
26
57
42
63
55
60
36
55
60
66
15
Among large (20+ slot) platforms, EPA determined that few, if any, such platforms might be built during the time
frame of the analysis (see Table C2-11). As the table shows, no platforms of this size have been built over the past
5 years. Given that so few of the existing platforms appear to resemble a new regulated project, EPA assumes no
new platforms of this size and with CWIS meeting proposed rule criteria would be constructed.
Among smaller platforms, EPA determined that although they are installed at a rate of about 50-60 per year (see
Table C2-11), they are unlikely to install CWIS of the size considered to meet proposed rule criteria. EPA
therefore assumes no new smaller platforms constructed in shallow water would be affected by the proposal.
C2-28
-------
§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
Figure C2-1: Platform Installation by Year
fin
zr\
brms
i. <_
berofPlat
/J 4
D C
E
z
90
i n
n -
•
-
,
-
rk
,-,
0
[i
n
-
n
PI
n
n
PI
PI
DDeepwater Platforms
• Platforms in Shallow
Water with Greater than
or Equal to 20 Wells
DPlatforms in Shallow
Water with Less than 20
Wells
1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
Year of Installation
Note: 2003 is a partial year only.
Source: MMS, 2003b.
The Federal offshore waters off the coast of California have been subject to a moratorium on lease sales since
1990. No platforms have been constructed since 1994, and no exploration has been undertaken since 1989.
Currently the moratorium extends to 2012. President Bush has dropped opposition to the moratorium and
currently has no apparent plans to end the moratorium (Environmental News Network, 2003). The State has
indicated to the President that it wishes the moratorium to remain in place, and Governor Schwartzenegger has
been pushing for a "permanent ban on all oil drilling in coastal waters." (MSNBC, 2003). There are, however, 40
leases off San Luis Obispo and Santa Barbara Counties that are not subject to the moratorium, and a consortium
of oil companies including Aera Energy have announced plans for exploratory drilling. Aera Energy plans to drill
in 2004. Political opposition to these plans is enormous, however (Sneed, 2004). Even if exploratory drilling is
allowed to take place, any platform construction would occur many years later. Given this strong level of
antipathy towards offshore oil and gas development in California, EPA believes that the construction of new
platforms, or any new drilling, in either State or Federal California offshore regions is unlikely in the time frame
of the analysis.
In Cook Inlet, Alaska, only one new platform has been constructed in recent years. Most new exploration and
development in this region takes place from existing infrastructure or from onshore locations using directional
drilling, in which wells are drilled both vertically and horizontally to reach potential reserves, sometimes
thousands of feet from the top-hole locations. No definitive plans appear to be in place for any new platforms in
State waters. In Federal waters, lower Cook Inlet is a source of potential activity, since MMS completed a lease
C2-29
-------
§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
bid in April, 2004. However, given the long lead times between lease bid to operation, it may be relatively
unlikely that this lease bid will result in new platforms during the time frame of the analysis in either location. To
be conservative, however, EPA assumes one such platform might be constructed in Upper Cook Inlet (State
waters) and begin operation during the time frame of analysis. In other Federal areas in the Alaska region, little
new activity is underway. BP has dropped plans for its Liberty project in the Beaufort Sea area (Federal Register,
Vol. 67, No. 99 pp. 36020-36022). Although some leases are actively registered in the Beaufort Sea, the time
frame for development, if any is undertaken, could be beyond the time frame of this analysis.
C2-3 TOTAL NEW OIL AND GAS OPERATIONS
Table C2-12 summarizes the number of existing MODUs and platforms that are estimated to meet the proposed
rule's criteria, had EPA decided to regulate existing oil and gas facilities, as well as new MODUs and platforms
expected to be built over the 20-year analytical period that might be required to install control technologies. Also
presented is an assessment of the number of firms involved that might be small businesses.
Table C2-12 Number of Existing and Future Offshore Oil and Gas Extraction Facilities Estimated or
Assumed To Meet Proposed Rule Criteria over a 20-Year Analysis Time Frame
Type of Oil and
Gas Facility
MODUs
Deepwater
Platforms (GOM)
20+ Slot
Platforms (GOM)
Other GOM
Platforms
California
Platforms
Alaska Platforms
Total
Existing Facilities
No. with
>2MGD
flows
172
8
4
4
7
10
205
No. with
>20 MGD
flows
12
1
0
0
3
0
16
No. with
>50
MGD
flows
12
0
0
0
0
0
12
No. of
Small
Firms
Potentially
Involved3
6
0
0
0
1
1
8
New Facilities
No. Built
in 20- Year
Period >2
MGD
103
20
0
0
0
1
124
No. Built
in 20- Year
Period
>20 MGD
3
2
0
0
0
0
5
No. Built
in 20- Year
Period
>50 MGD
3
0
0
0
0
0
3
No. of
Small
Firms
Potentially
Involved3
0
0
0
0
0
1
1
a No small firms are involved if the cutoff is 20 MGD or greater
Source: U.S. EPA Analysis, 2004. See the 316(b) Oil and Gas Compliance Cost Model, DCN 7-4018 and ERG, 2004b.
C2-30
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
REFERENCES
Alexanders Oil and Gas Connections. 2002. Shell Oil board elects Philip Watts and Rob Routs. Volume 7, issue
#10 Thursday, May 16, 2002.
Bureau of Census 2004. 1997 NAICS United States Structure, Including Relationship to 1987 U.S. SIC
http://www.census.gov/epcd/www/naicstab.htm
Drilling Contractor. 2003a. Deepwater success results in higher drilling activity. November/December
Drilling Contractor. 2003b. Large jackups are most notable of new built rigs. November/December.
Drilling Contractor. 2004. Gulf deep shelf gas drilling expected to increase. January/February 2004.
Drilling Contractor. 2001. MMS: GOMdeepwater activity, production to grow. November/December
Environmental News Network. 2003. Bush won't challenge ban on new California offshore oil drilling. April 1.
http://www.een.com/news/2003-04-01/s_3613.asp. Downloaded April 26, 2004.
ERG. 2003. Assessment of Platforms in the Gulf of Mexico That Are Likely To Be In Scope. Memorandum to
George Denning, EPA, from ERG. August 21, 2003.
ERG. 2004a. Non-CBI In-Scope Facility Database. Spreadsheet Submitted to the 316(b) Phase III Rulemaking
Record. DCN 7-3505.
ERG 2004b. Calculation of Weights for Engineering Cost Estimates. Memorandum to the 316(b) Phase III
Rulemaking Record. September 24, 2004.
ERG. 2004c. Expanded Universe of MODUs and Platforms. Spreadsheet Submitted to the 316(b) Phase III
Rulemaking Record. DCN 7-4022.
ERG. 2004d. Final MODU List. SpreadsheetFinalMODUlist.xls. Submitted to the 316(b) Phase III
Rulemaking Record. DCN 7-4029.
MMS. 2003a. MMS Platforms Master Database. U.S. Department of the Interior. Minerals Management
Service. Downloaded 6/10/2003. DCN 7-4025.
MMS. 2003b. Deepwater production summary by year, www.gomr.mms.gov/homepg/offshore/
deepwatr/summary.asp downloaded 10/10/2003.
MSNBC. 2003. Will Gov. Schwarzenegger be green? December 12. http://msnbc.msn.com/id/3475222
Downloaded April 26, 2004.
Oil and Gas Journal. 2004. Statistics: US Crude Prices. 67. February 16, 2004.
Offshore. 2003. Upgrades target deep gas and deepwater. Offshore Magazine. July 2003.
SEC. 2003. Security and Exchange Commission Edgar Database of Corporate Filings.
http: //www .sec .gov/edgar. shtml
S&P (Standard and Poors). 2003. Industry Report Card: Oil and Gas. January, 17, 2003.
Sneed, David. 2004. Oil drilling planned offSLO County in 2007. San Luis Obispo Tribune. April 27, 2004
C2-31
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis of Phase III New OOGE Facilities C2: Profile ofOOGE Industry
U.S. Environmental Protection Agency (U.S. EPA) 2000. Economic Analysis of Final Effluent Limitations
Guidelines and Standards for Synthetic-Based Drilling Fluids and Other Non-Aqueous Drilling Fluids in the Oil
and Gas Extraction Point Source Category. EPA-821-B-98-020. December 2000.
U.S. Environmental Protection Agency (U.S. EPA). 2004. Technical Development Document for the Proposed
Section 316(b) Phase III Rule. EPA-821-R-04-015. November 2004.
C2-32
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities C3: EIAfor OOGE Facilities
Chapter C3: Economic Impact Analysis for
the Offshore Oil and Gas Extraction
Industry
C3-2
CHAPTER CONTENTS
C3-1 MODU Analyses C3-2
C3-1.1 Aggregate National After-tax Compliance
Cost Analysis C3-2
C3-1.2 Vessel-Level Compliance Costs C3-3
C3-1.3 Impact Analysis C3-5
Economic Impact Analysis for Oil and Gas
Production Platforms C3-8
C3-2.1 Aggregate National After-tax Compliance
Costs C3-9
C3-2.2 Platform-Level Compliance Costs . . C3-10
C3-2.3 Impact Analysis C3-12
Total Costs and Impacts Among All Affected
Oil and Gas Industry Entities C3-14
Total Costs to Government Entities and Social
Costs of the 316(b) Phase III Rulemaking . . . C3-15
C3-4.1 Total Costs to Government Entities . C3-15
C3-4.2 Total Social Costs C3-15
References C3-17
C3-3
C3-4
INTRODUCTION
The Proposed Section 316(b) Rule for Phase III
Facilities would potentially affect any new MODUs
and oil and gas production structures that use CWISs
with daily design combined intakes totaling at least 2
MOD (and at least 25% of water used for cooling
water purposes). This regulatory structure is the
similar to that applied to new electric generating and
other industrial facilities under the Section 316(b)
Phase I, Track 1 regulation.
This economic impact analysis is divided into four
sections. Section C3-1 presents the analysis of the
316(b) rulemaking on MODUs, Section C3-2 presents
the analysis of offshore oil and gas production
platforms, Section C3-3 summarizes the costs and
impacst on both MODUs and platforms and provides
totals for the combined industry subgroups, and
Section C3-4 presents costs to the Federal government
and total social costs. The first two sections each discuss the aggregate national after-tax compliance cost
estimates for new MODUs and platforms (as well as briefly summarize what these costs would be had existing
MODUs and platforms been covered by the proposed rule). These sections also present vessel-level or platform-
level pre- and after-tax compliance costs, and discuss impacts, both at the vessel/platform level and at the firm
level. The vessel/platform level impacts are assessed using two approaches. The first approach uses the existing
facilities that might represent new facilities and applies a cash-flow/net income-based analysis. The second
approach is a standard barrier-to-entry analysis that investigates the present value of initial permitting costs
(discounted to the assumed year of compliance) plus initial one-time capital/installation costs as a percentage of
the cost to construct a new MODU or platform. The firm-level analysis uses firm revenues at firms that are the
likeliest to construct new facilities. EPA applies a pre-tax and after-tax annualized cost of compliance
(incorporating permitting, monitoring, capital/installation, and O&M costs) for each MODU/platform the firm is
expected to build over the period of analysis. For simplicity and to be conservative, all new MODUs or
platforms/structures a firm is expected to construct during this time frame are assumed to be launched or to come
on line in one year for comparison to one year's revenues at the potentially affected firms. The ratio of these
costs to revenues is then calculated and assessed as to whether this ratio might indicate the potential for firm-level
impacts.
The methodologies used in each analysis are presented first in each section, followed by a discussion of the
analytic results.
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C3-1 MODU ANALYSES
C3-1.1 Aggregate National After-tax Compliance Cost Analysis
A number of costs must be considered in calculating the aggregate national after-tax compliance costs, each with
distinct timing considerations. Permitting costs are incurred by facilities, but these costs are incurred by facilities
to come under one of three General Permits. EPA assumes costs of studies needed to incorporate permit
requirements under the General Permits can be shared. EPA further assumes that all permitting costs would be
grouped into three general permit regions. These regions are Eastern Gulf of Mexico, Western Gulf of Mexico,
and Alaska. Other permit activities are facility-specific and would fall on each facility affected. The timing of
permitting costs is complex and was discussed in Chapter Cl: Summary of Cost Categories and Key Analysis
Elements for New Offshore Oil and Gas Extraction Facilities. More information can also be found in U.S. EPA
(2004a) and ERG (2004a).
EPA assumes that four jackups and 1 semi-submersible will be built each year over the time frame of the analysis.
EPA also assumes that three drill ships will be built, launched in 2012, 2017, and 2022 for a total of 103 MODUs
over the 20-year period of construction. Permitting costs, therefore, apply to 80 jackups, 20 semi-submersibles
and 3 drill ships. See Chapter C2: Profile of the Offshore Oil and Gas Extraction Industry.
Pre-tax costs of installing and operating control technologies and for various permitting activities are input to a
spreadsheet in the year in which they are assumed to be incurred. Capital costs are assumed to be incurred every
10 years, and repermitting costs occur every 5 years. Each MODU is assumed to operate over a 30-year
compliance period. Costs are discounted to the year of compliance, assumed to be the year the MODU is
launched, and summed to produce the present value of costs in the year of compliance. These costs are then
annualized over 30 years. See Chapter Cl: Summary of Cost Categories and Key Analysis Elements for New
Offshore Oil and Gas Extraction Facilities for more details on the cost discounting methodology.
To create after-tax costs, EPA assumes that the highest marginal corporate tax rate applies. This rate is 35% (IRS,
2002), so after-tax costs would be 65% of the pre-tax costs. EPA does this because all MODU owners that are
likely to build MODUs are large corporations by SBA standards and all have earnings in most years that place
them in the highest corporate tax bracket.
Table C3-1 summarizes the national aggregate after-tax compliance costs for MODUs. As the table shows, these
costs are $1.8 million per year over the time frame of the analysis. See ERG (2004a) for a detailed description of
how these costs were calculated. See also the 316(b) Oil and Gas Compliance Cost Model, DCN 7-4018
(hereinafter, Compliance Cost Model.
Had existing MODUs been covered by the proposed rule, the total national cost of the rule would have included
an additional $3.6 million per year (ERG, 2004b).
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Table C3-1: Total Aggregate National After-tax Compliance Costs for MODUs
(2003$)
Type of Cost
Permitting (a)
C apital/Installation
Semi-submersibles
Jackups
Drill ships
Total
Monitoring
O&M
Total
Present Value
(year of compliance)
$7,111,190
$597,347
$14,373,374
$765,049
$15,735,770
$1,357,609
$0
$24,204,569
Annualized Cost of
Compliance
$535,575
$44,989
$1,082,522
$57,619
$1,185,130
$102,247
$0
$1,822,952
Source: U.S. EPA Analysis, 2004. See the Compliance Cost Model, DCN 7-4018.
C3-1.2 Vessel-Level Compliance Costs
This section addresses costs to each of the three types of new vessels. Again, permitting and monitoring costs are
from U.S. EPA (2004a), and capital/installation costs are from U.S. EPA (2004b). Weighted average costs
reported in the TDD (U.S. EPA, 2004b) and derived for existing facilities are calculated and applied to new
facilities as presented in a spreadsheet located in the rulemaking record (DCN 7-4030) and in the Compliance
Cost Model, DCN 7-4018. Pre-tax costs per vessel are used in the firm-level analysis. After-tax per facility costs
are also presented. After-tax costs are used for comparison to pre-tax costs and in the firm-level analysis, but are
not used directly in the vessel impact analysis.1 Additional details on how these costs are calculated are presented
in ERG (2004a).
a. Pre-Tax Cost of Compliance for Representative Vessels
The costs shown in Table C3-2 reflect the costs assigned to each vessel, by type of vessel. The representative
vessels are those launched in 2007 (jackups and semi-submersibles) and 2012 (drill ship) for the purposes of
timing assumptions. All costs are discounted to the year of compliance, which is the same as the assumed year of
launching. This date may be prior to the date actual compliance is required for some vessels. Those constructed in
2007-2012 or 2014 (depending on location) are assumed to install and operate compliance equipment
immediately when they are constructed, even though permit requirements may not be in place at that time (see
Chapter Cl: Summary of Cost Categories and Key Analysis Elements for New Offshore Oil and Gas Extraction
Facilities for more details). The present value costs are calculated by inputting each cost into the year that it is
assumed to be incurred, which includes additional capital costs in years 11 and 21 after initial construction,
repermitting costs every 5 years, and monitoring costs in the appropriate years. The costs are taken out over 30
years, discounted to the year of compliance at the recommended OMB discount rate of 7%, and then summed.
The present value cost is then annualized using a 30-year time frame assumption and 7% discount rate. Chapter
Cl: Summary of Cost Categories and Key Analysis Elements for New Offshore Oil and Gas Extraction Facilities
also discusses this process, as does ERG (2004a).
1 In the impact analysis, after-tax costs are applied to existing MODUs, but these are calculated in a more exact way, since the
existing MODUs have known marginal tax rates, and a depreciation schedule is used to more precisely calculate the after-tax cost impact
on cash flow; see Section C3-1 below and ERG, 2004c).
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Table C3-2 presents the costs of compliance on an annual basis for the three types of MODUs. As the table
shows, these costs range from $14,938 to $37,638 per year depending on type of vessel. These costs are small in
comparison to revenues associated with drilling even one exploration well in the deepwater GOM. The
construction of these types of wells cost oil and gas production companies about $25 million to $30 million per
well (U.S. EPA, 2000). The major portion of this outlay is paid to the operator of the MODU that drills the well.
These costs are also small in comparison to typical MODU day rates, which can range from $150,000 to $250,000
per day (Hatton, et al., 2002).
Table C3-2: Per-Vessel Annualized Pre-Tax Cost of Compliance (2003$)
Type of Cost
Permitting (a)
Semi-submersibles
Jackups
Drill ships
Capital/Installation
Semi-submersibles
Jackups
Drill ships
Monitoring
Semi-submersibles
Jackups
Drill ships
O&M
Total
Semi-submersibles
Jackups
Drill ships
Present Value
(year of compliance)
$128,206
$128,206
$66,191
$45,950
$276,411
$392,333
$24,189
$24,189
$33,742
$0
$198,345
$428,806
$492,266
Annualized Cost of
Compliance
$9,656
$9,656
$4,985
$3,461
$20,818
$29,548
$1,822
$1,822
$2,541
$0
$14,938
$32,295
$37,075
Source: U.S. EPA Analysis, 2004. See the Compliance Cost Model, DCN 7-4018.
b. After-tax Costs
After-tax costs are presented here for comparison purposes. After-tax costs are assumed to be lower than the pre-
tax costs by the top marginal corporate tax rate of 35%. Thus the costs calculated are 65% of the pre-tax costs in
Table C3-2 above.
The annual after-tax, annualized, per-vessel compliance costs are $9,710 for semi-submersibles, $20,922 for
jackups, and $24,099 for drill ships, based on the pre-tax costs shown above in Table C3-2.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities C3: EIAfor OOGE Facilities
C3-1.3 Impact Analysis
The impact analysis is conducted at two levels: vessel-level and firm-level. Although the financial condition of
new vessels cannot be known, the financial conditions of a few, representative existing vessels are reflected in
EPA's 316(b) survey of MODUs. EPA received eight economic surveys from three semi-submersibles, three
jackups, and two drill ships. The financial information from these representative vessels is used for a general
assessment of how well these vessels would do financially if costs of the preferred option applied. The
representative vessels are thus a proxy for new sources subject to Phase III regulation. This analysis provides an
alternative assessment of the potential for barrier to entry.
The second vessel-level analysis is a more typical barrier-to-entry analysis conducted by EPA for new entities,
which looks at the present value of the initial permitting costs (including those associated with start-up activities,
pre-permitting studies and initial permit application activities), discounted to the applicable compliance year, plus
the initial one-time capital/installation costs of required control equipment and compares these costs to the
baseline construction costs for each type of MODU. EPA uses an initial permit cost stream represented by
MODUs expected to be constructed in 2007 (jackups and semi-submersibles) or 2012 (drill ships). See the
Compliance Cost Model (DCN 7-4018).
The firm-level analysis is a revenue test, comparing the revenues of firms likely to construct MODUs with the
annualized compliance costs for representative new vessels, assuming each firm identified as potentially affected
builds a share of the new MODUs expected to be constructed over the time frame of the analysis. For simplicity
and to be conservative, each firm is assumed to launch all their new MODUs in one year for comparison to one
year's revenues. EPA uses the annualized cost stream for MODUs constructed in 2007 (or the cost stream for a
drill ship constructed in 2012, the first year post-compliance in which a drill ship is assumed to be constructed) to
represent the annualized costs to each potentially affected firm. EPA uses both the pre-tax and after-tax
compliance costs for comparison with revenues.
a. Vessel Impact Analysis Using Survey Vessels
To calculate the impact of the today's proposal on new MODUs, EPA used two models - a cash flow/net income
model, which computes the estimated present value of after tax cash flow/net income for representative MODUs
(based on survey data) over a 30-year operating period for each new facility, and a post-tax cost calculation
model, which estimates the present value after-tax costs of compliance using engineering and permitting cost
inputs. These two models are used to analyze the effect of after-tax costs on after-tax vessel cash flow or net
income. For additional details on these models, see ERG (2004c) and DCN 7-4020.
Using data provided by surveyed MODU operators, EPA used both the reported after-tax net income and a
calculated cash flow figure for each survey MODU. EPA calculated cash flow using after-tax net income and
adding depreciation, depletion, and amortization (DD&A) back into net income, since DD&A are not cash
expenses. EPA used cash flow as an upper bound estimate of available cash and after-tax net income as a lower
bound estimate. EPA was only able to undertake financial analysis for those MODUs with a positive net income
or cash flow for the three years of financial information provided in the survey. EPA assumes that any MODU
whose cash flow or net income is negative over the three years of financial data availability is unlikely to be a
viable operation in the baseline and cannot be analyzed with respect to compliance costs.
EPA used the cash flow/net income over the three years of data collected to create a moving cycle of cash
flow/net income over the period of analysis. The years of data collected were 2000, 2001, and 2002, with 2002
generally being a poorer year for the industry as a whole. In this way, EPA was able to represent industry
financials in both good and bad years. The 3-year cycle provides a means for projecting the volatile oil and gas
business over each facility's 30-year operating period, which is expected to include major swings in the prices of
oil and gas, the driving force behind the level of operations, pricing, and thus the financial performance of newly
constructed vessels. EPA assumed that cash flow/net income will be flat on average over the 30 years of analysis
and thus does not apply any factors to increase or decrease cash flow or net income over the years of analysis
within those cyclical movements. The cash flow/net income figures from the survey, therefore, repeat every three
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years for 30 years. EPA then computes the present value of that stream of cash flow/net income figures and
compares it to the present value of after-tax compliance costs for the preferred option.
EPA used the capital, O&M, and permitting costs to calculate the present value of the after-tax annualized cost of
compliance with the proposed requirements. Each cost is accounted for in the year in which it is assumed to be
incurred. EPA made the simplifying assumption that the existing MODUs would represent new MODUs that are
launched in 2007. Since EPA assumes MODUs launched in this year install and operate compliance equipment at
that time (even though they do not become permitted for compliance with 316(b) requirements until the date of
the first applicable General Permit renewal), EPA considers the date of launching the "compliance year."
The first costs to be incurred are the Region 6 and Region 4 pre-permitting costs (the shared study costs) and the
capital costs of installation and incremental O&M costs (O&M costs are estimated to be $0 for all MODUs).
Costs for permit application activities occur in 2011 for the Region 6 permit and in 2013 for the Region 4 permit.
Only MODUs are assumed to be permitted under the Region 4 permit, since relatively little production activity is
currently underway in the Eastern Gulf2 Monitoring costs begin to be incurred in 2012. Repermitting costs enter
in 2017, and every 5 years thereafter. EPA estimated capital costs for each MODU for which a financial survey
response was received (with one exception), as well as many other MODUs for which financial data were not
obtained (all were used to calculate the average costs of compliance for new facilities). In this analysis, however,
only the costs for the eight MODUs with economic survey information were used for developing the costs for this
impact analysis.
EPA's post-tax compliance cost model determined the marginal tax rate of the owner company based on the
firm's average taxable earnings over the three years of survey data (which were put on a mid-year 2003 basis to
match the engineering costs, which were also set to 2003 dollars) and used the modified accelerated cost recovery
system (MACRS) to calculate depreciation on the capital outlay. Depreciation was then used to compute a "tax
shield" on the investment (for more information on EPA's post-tax cost calculation model, see ERG [2004c] and
DCN 7-4020). The post-tax cost calculation model calculates the present value of after-tax compliance costs.
The present value output from the post-tax cost calculation model is then input to the cash flow/net income model
and used to compare with the present value of cash flow/net income of the vessel as discussed above. If the
present value of baseline after-tax cash flow or net income minus the present value of after-tax compliance costs
is greater than $0, EPA assumes that the MODU would be able to continue to operate post-compliance. If the
cash flow value becomes negative, EPA assumes the MODU would no longer continue to operate. If the net
income value becomes negative, EPA assumes the longer term viability of the vessel is potentially jeopardized. In
either case, such a MODU would be counted as a potential "regulatory closure." This analysis is considered an
alternative assessment of the potential for barrier to entry.
Although many of EPA's analyses investigate whether costs of compliance can be passed through to customers,
this analysis makes an assumption that costs cannot be passed through. Because existing MODUs would not have
to meet the requirements of the proposal, and new MODUs must compete with these existing MODUs, it is
unlikely that new MODUs would be able to pass through any compliance costs. Assuming zero cost pass-through
provides a realistic estimate of potential economic impacts to new MODUs.
Due to confidential business information (CBI) constraints, EPA is not able to provide detailed impact results on a
MODU-specific level. Detailed results are provided in the CBI portion of the Rulemaking Record (ERG, 2004c,
CBI version, and DCN 7-4020). The general findings of the closure analysis are that no new MODUs would be
regulatory closures, based on an assumption that finances for new MODUs might look like those for existing
MODUs, as a result of the incremental costs of compliance with the preferred option using either a cash flow or
net income approach.
b. Barrier to Entry Analysis (Vessel-Level)
2 Permitting costs to platforms are assumed to be associated with the Western Gulf Permit; use of this assumption avoids potentially
understating the magnitude of shared costs to MODUs in Region 4.
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EPA used the incremental capital/installation costs and the net present value of permitting costs of compliance for
MODUs, as discussed above, using the cost streams associated with vessels launched in 2007 (jackups and semi-
submersibles) and 2012 (drill ships), discounted to the compliance year. The sum of these costs (capital and
permitting) were then compared to the costs of constructing new MODUs. If these compliance costs comprised a
small fraction of construction costs, EPA assumed that compliance costs would not have a major impact on future
MODUs and would not have an effect on a decision to build additional MODUs.
EPA estimated the incremental capital costs to install CWISs that meet the requirements of 316(b) Phase I, Track
1. These costs are $26,008 for semi-submersibles, $156,450 for jackups, and $222,062 for drill ships. The present
value of a share of the permit costs is $101,192 for each vessel except those for drill ships, which are $24,521
(because they are assumed not be involved in the initial study cost sharing due to their much later assumed launch
dates). The total incremental initial investment costs, therefore, are $127,200 for semi-submersibles, $257,642 for
jackups, and $246,583 for drill ships). According to Drilling Contractor Magazine (2003), the cost of new
MODUs planned to be built in the next few years average $250 million for semi-submersibles and $125 million
for jackups. A drill ship completed in 1998 (R&B Falcon's Pathfinder3) cost approximately $275 million.
Incremental present value of permitting costs plus capital/installation costs are therefore estimated to range from
0.05% to 0.21% of construction costs, regardless of type of MODU. Because this is only a tiny fraction of total
costs of construction (and a tiny fraction of contingency, which typically ranges from 10% to 20% of
capital/installation costs), EPA believes that these costs would not have a material effect on decisions to build new
MODUs.
c. Firm-Level Analysis
To determine the impact of the proposed rule on firms, EPA uses a revenue test, which compares the annualized
pre-tax and after-tax costs of compliance (calculated as discussed for each representative MODU as discussed
above), with 2002 revenues reported by all firms determined likely to build new MODUs meeting the proposed
rule's criteria. Because nearly all of these firms (other than foreign-owned) are publicly owned, EPA relied on the
revenue data reported in Chapter C2: Profile of the Offshore Oil and Gas Extraction Industry, which was
compiled from corporate 10K reports downloaded from SEC's Edgar Database. EPA determined the number of
MODUs likely to be built by each firm under the proposed rule. Only those firms that were identified as currently
owning jackups, semi-submersibles, and drill ships that would meet the proposed rule's criteria if newly
constructed are considered likely to construct the estimated 103 new MODUs that would be affected by the
proposal. These same firms also generally comprise the firms that are currently building new MODUs (see also
Chapter C2: Profile of the Offshore Oil and Gas Extraction Industry). EPA then assigned a number of potentially
in-scope MODUs to be built by each of the firms and used the average per-MODU compliance costs multiplied
by the number of these potentially in-scope MODUs to calculate the total compliance costs that might be faced by
these firms.
To calculate costs to revenues, EPA uses the pre-tax and after-tax costs shown in Table C3-2 for the firms
identified as likely to construct new MODUs meeting the proposed rule's criteria. Each firm is assumed to build
12 jackups or semi-submersibles over the time frame of the analysis (a little over one every other year), except for
GlobalSantaFe and Transocean, which are assumed to build 20 jackups and one drill ship or two drillships,
respectively. For simplicity and to be conservative, EPA assumes that all MODUs estimated to be constructed by
these firms are launched in one year for comparison with one year's revenues at those firms. EPA uses the higher
cost of a jackup rig to represent the cost of compliance for both jackups and semi-submersibles for simplicity.
Table C3-3 shows all of the MODU owners that are considered likely to build an in-scope MODU. As the table
shows, annualized pre-tax costs per firm range from $0.4 to $0.7 million. The ratio of pre-tax costs to revenues
ranges from 0.03% to 0.06% and after-tax costs to revenue range from 0.02% to 0.04%. Given that the highest
ratio seen is 0.06 percent, EPA concludes that firm-level impacts would be minimal. Furthermore, even if these
costs applied to other firms (among those that own jackups or semi-submersibles with unknown CWIS intake
R&B Falcon was acquired by Transocean, Inc. (see Chapter C2: Profile of the Offshore Oil and Gas Extraction Industry).
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rates that are considered unlikely to build new MODUs subject to Phase III regulation), impacts on any firm
would still be estimated to be much less than 1 percent.4
These costs reflect the assumption that all new jackups would be built with sea chests and, therefore, these vessels
would not be required to meet entrainment controls. However, jackups on rare occasions use straight pipes. If
jackups are not built with sea chests, the costs to comply with both impingement and entrainment contros would
result in the annualized per-vessel compliance costs to rise from $32,295 to $39,063. Under this scenario, the
costs to revenue ratios shown in Table C3-3 would be at most 0.08 percent (see DCN 7-4030 and DCN 7-4018).
Table C3-3: Revenue Test for MODU Owners
Name
Diamond Offshore
ENSCO
GlobalSantaFe
Noble
Pride
Rowan
Transocean
Total/A vg.
No. of Likely In-
scope Rigs >2
MGD Built in One
Year
12
12
21
12
12
12
22
103
Revenues
(Smillions)
$753
$698
$2,018
$986
$1,270
$617
$2,674
$9,406
Annualized
Pre-Tax Costs
per Firm
(Smillions)
$0.4
$0.4
$0.7
$0.4
$0.4
$0.4
$0.7
$3.3
Costs to
Revenues
(%)
0.05%
0.06%
0.03%
0.04%
0.03%
0.06%
0.03%
0.04%
Annual-ized
After-tax
Costs per
Firm
(Smillions)
$0.3
$0.3
$0.4
$0.3
$0.3
$0.3
$0.5
$2.2
Costs to
Revenues
(%)
0.03%
0.04%
0.02%
0.03%
0.02%
0.04%
0.02%
0.02%
Source: SEC, 2003; U.S. EPA Analysis, 2004. See Compliance Cost Model, DCN 7-4018.
C3-2 ECONOMIC IMPACT ANALYSIS FOR OIL AND GAS PRODUCTION PLATFORMS
This section presents the aggregate national after-tax compliance costs for new oil and gas production platforms
that will be built in scope. It also presents platform-level compliance costs (in after-tax and pre-tax terms).
Impacts on platforms are then presented in two sections. The first section uses a model of a new platform to
determine the potential for any effect on production. The second section uses an approach for identifying barriers
to entry for all platforms likely to be built in scope and for assessing impacts on those platforms for which
information was not sufficient to create a detailed economic model. As discussed in Chapter C2: Profile of the
Offshore Oil and Gas Extraction Industry, only 20 in-scope deepwater platforms and one in-scope Alaska
platform are expected to be constructed over the 20 year construction time frame of the analysis under the
proposed rule.
4 There are several firms owning jackups or semi-submersibles that did not submit voluntary technical data, so EPA is not able to
determine whether they own MODUs that might meet the proposed rule's criteria were they to be newly constructed. These firms are
Atwood Oceanics, Caspian Drilling Co., Energy Equipment Resources, Nabors Industries, Newfield Exploration, Ocean Rig ASA, Parker
Drilling, Tetra Technologies, and Workships BV. Most of these firms, however, own only one or two such MODUs and are considered far
more likely to purchase MODUs from the firms included in this analysis than to build their own (several of these MODUs have clearly
been purchased from GlobalSantaFe, for example). Had these firms been included in the analysis, however, EPA's findings would not
have changed. The firm with the lowest revenues in this group among those with publicly available data (Atwood Oceanics, Parker
Drilling, and Newfield Exploration; see Chapter C2: Profile of the Offshore Oil and Gas Extraction Industry) reported 2002 revenues as
$149 million. Applying the same methodology that EPA used for the firms considered likely to build MODUs, EPA would predict that the
cost-to-revenue ratio among these firms considered unlikely to build MODUs would be at most 0.3 percent.
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C3-2.1 Aggregate National After-tax Compliance Costs
The methodology for calculating the aggregate national after-tax compliance costs are identical to that used for
calculating these same costs for MODUs, although the costs incurred are different. Costs are input in each year in
which they occur over the 30-year time frame of the analysis, including recurring capital replacement costs,
repermitting costs, and O&M. The costs in each year are discounted to the compliance year (assumed the year the
platform comes on line) and summed to calculate the present value of the cost stream. These present value costs
are then annualized. For more details on timing assumptions and annualized and present value cost calculations,
see Chapter Cl: Summary of Cost Categories and Key Analysis Elements for New Offshore Oil and Gas
Extraction Facilities and ERG (2004a).
To create after-tax costs, EPA assumes that the highest marginal corporate tax rate applies. This rate is 35 percent
(IRS, 2004), so after-tax costs will be 65 percent of the pre-tax costs. EPA does this because all platform owners
that are likely to build in-scope platforms are large corporations by SBA standards and/or have earnings that place
them in the highest corporate tax bracket (including the one small corporation considered likely to build an Alaska
platform).
Table C3-4 summarizes the national aggregate after-tax compliance costs for production platforms. As the table
shows, these costs are $1.2 million per year over the time frame of the analysis. See ERG (2004a) for a detailed
description of how these costs were calculated. Also see DCN 7-4018.
Had existing platforms been covered by the proposed rule, the total national cost of the rule would have included
an additional $4.5 million per year (ERG, 2004b).
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities C3: EIAfor OOGE Facilities
Table C3-4: Total National Aggregate After-tax Compliance Costs for Platforms
(2003$)
Type of Cost
Permitting (a)
Deepwater
Alaska
Total
Capital/Installation
Deepwater
Alaska
Total
Monitoring
Deepwater
Alaska
Total
O&M
Deepwater
Alaska
Total
Total Compliance Costs
Deepwater
Alaska
Total National Compliance Costs
Present Value
(to year of compliance)
$842,324
$481,371
$1,323,695
$5,227,966
$390,008
$5,617,974
$187,012
$190,138
$377,150
$7,703,465
$1,371,845
$9,075,310
$13,960,768
$2,433,362
$16,394,129
Annualized Cost of
Compliance
$63,439
$36,254
$99,693
$393,741
$29,373
$423,114
$14,085
$14,320
$28,405
$580,182
$103,320
$683,502
$1,051,447
$183,267
$1,234,714
Source: U.S. EPA Analysis, 2004. See the Compliance Cost Model, DCN 7-4018.
C3-2.2 Platform-Level Compliance Costs
This section addresses costs to each of the two types of platforms (deepwater and Alaska). Again, permitting and
monitoring costs are from U.S. EPA (2004a), and capital/installation and O&M costs are from U.S. EPA (2004b),
with the weighted average of the capital and O&M costs applied to new platforms/structures as calculated in DCN
7-4030. Pre-tax costs per platform are used in the firm-level analysis, along with after-tax costs. After-tax costs
are used for comparison to pre-tax costs but are not used directly in the platform impact analysis.5 See ERG
(2004a) for more detail on how these costs were calculated. Also see DCN 7-4018.
5 In the impact analysis, costs are input in the year in which they are assumed to be incurred, and the financial model
internally calculates the tax shield on these costs given depreciation schedules; see Section C3-2.3a below and ERG [2004d]).
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities C3: EIAfor OOGE Facilities
a. Pre-Tax Cost of Compliance for Representative Platforms
The costs shown in Table C3-5 reflect the estimated costs incurred by each platform, by type of platform. Costs
are derived as above for computing national aggregate costs, but these costs are for a representative deepwater
platform that comes on line in 2007 (year of compliance assumed 2007) and the representative Cook Inlet
platform coming on line in 2014 (year of compliance). Costs (which are incurred over the full time frame of the
analysis, including recurring capital replacement and repermitting costs) are discounted to the applicable year of
compliance and annualized over 30 years at 7 percent.
Table C3-5 presents the costs of compliance on an annual basis for the two types of platforms. As the table
shows, these costs are $82,338 or $281,949 depending on type of platform.
Table C3-5: Per-Platform Annualized Pre-Tax Cost of Compliance (2003$)
Type of Cost
Permitting share
Deepwater
Alaska
Capital/Installation
Deepwater
Alaska
Monitoring share
Deepwater
Alaska
O&M
Deepwater
Alaska
Total
Deepwater
Alaska
Present Value
(Year of Compliance)
$80,513
$740,570
$402,151
$600,012
$18,021
$292,520
$592,574
$2,110,532
$1,093,259
$3,743,633
Annualized Cost of
Compliance
$6,064
$55,776
$30,288
$45,190
$1,357
$22,031
$44,629
$158,953
$82,338
$281,949
Source: U.S. EPA Analysis, 2004. See the Compliance Cost Model, DCN 7-4018.
b. After-tax Costs for Representative Platforms
After-tax costs are presented here for comparison purposes. After-tax costs are assumed to be lower than the pre-
tax costs by the top marginal corporate tax rate of 35 percent (IRS, 2002). Thus the costs calculated are 65 percent
of the pre tax costs in Table C3-5 above.
The annual after-tax per-platform compliance costs are $53,520 for deepwater platforms and $183,267 for the
Alaska platform, based on the pre-tax costs shown above in Table C3-5.
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C3-2.3 Impact Analysis
The impact analysis for oil and gas production platforms is divided into two types: platform-level and firm-level.
The platform-level analyses include two approaches to determining the potential for impacts. Although the
financial condition of new platforms cannot be known, the financial conditions of a few, representative existing
platforms are reflected in EPA's 316(b) survey of production platforms. EPA received economic surveys from
one deepwater platform and one Alaska platform with CWIS intake rates meeting the proposed rule's
requirements. The financial information from the deepwater platform is used for a general assessment of how
well new deepwater platforms would do financially if the proposed rule's costs applied. The Alaska platform that
was surveyed, however, is a very old structure and is at the end of its productive life, thus has a production profile
completely different from what would be expected of a new operation. Furthermore, new platforms constructed
in Cook Inlet are far likelier to look like the Osprey platform, which is a departure from the older technology
represented by the other Cook Inlet platforms. The Osprey platform was designed to operate as a MODU until a
productive reservoir was located, at which point the MODU was designed to convert to a stationary production
platform. This design allowed Osprey to be built at a significantly lower cost than the traditional fixed platforms
located in the inlet. EPA does not have sufficient financial information at this time to model an Osprey-type
platform. For these reasons, the potential for impact on a new Alaska platform is assessed only in the second
platform-level analysis, described below.
The second platform-level analysis is a more typical barrier-to-entry analysis used for new entities. It uses the
present value of initial permitting costs (discounted to the year of compliance) plus the capital/installation costs
and compares these costs to the construction costs for each type of platform. This is a typical barrier-to-entry
analysis, which assesses incremental start-up costs associated with compliance to baseline start-up costs.
The firm-level analysis is a revenue test, comparing the revenues of firms likely to construct platforms whose
CWISs meet the proposed rule's criteria with the annualized compliance costs for each platform, assuming each
firm considered likely to build a regulated platform in the deepwater builds four platforms/structures over the time
frame of the analysis. For simplicity and to be conservative, EPA assumes the firms bring all platforms on line in
one year for comparison to one year's revenues. One small firm is assumed the likeliest to build one platform in
Alaska during the time frame of the analysis, and this firm is assigned the cost of the one Alaska platform
assumed to be constructed during the analysis period.
a. Platform Impact Analysis Using Survey Platforms
Oil and gas production platforms are modeled somewhat differently than most other Phase III entities. Because
the surveyed deepwater platform was a relatively new structure in 2002 (the first year of survey data provided),
the model is built using survey data to represent new, later-built structures.
Generally, the model can show production extending as far out as 30 years. Calculations, such as the after-tax
costs of compliance that are computed outside of the model platform framework (presented earlier in this
Chapter), use a 5 or 10-year time frame over which to annualize costs. The platform model operates somewhat
differently. Pre-tax costs are input into the model in the year in which they occur (including costs incurred in pre-
production years). The model calculates after-tax costs, which are then annualized over the modeled production
life, which could be shorter than 30 years. For this reason, repermitting costs are input into the model every five
years and capital costs for CWISs are input every 10 years, until the model shows the platform is uneconomical to
operate.
EPA has developed a model deepwater oil and gas production platform based on information obtained from
EPA's survey and from other sources of publicly available information, such as that from MMS. ERG (2004d;
non-CBI version) contains additional details on the methodology, non-CBI data, and assumptions on which the
model is based and how the model was constructed. EPA has used the same basic approach a number of times for
analyzing impacts of effluent guidelines on oil and gas facilities (see, for example, U.S. EPA, 2000). Usually, the
only differences are the input variables, such as production rates, that are used to model individual platforms. For
specific details on the values of variables defined by survey information and the detailed impact results, see ERG
(2004d;CBI version).
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The model is based on both a cash flow and net income approach. The projected net revenues are compared to
operating costs at each year for each model project. Net revenues (after subtracting royalties and severance,
which are payments to the lease owner and a State, if relevant) are based on an assumed price of oil, current and
projected production of oil and gas, well production decline rates, and severance and royalty rates. Operating
costs are based on a calculated cost per barrel of oil equivalent (BOB) produced. The model runs for 30 years or
is assumed to shut in when operating costs exceed revenues. That is, the economic model can calculate differing
lifetimes according to project characteristics. The model then calculates the lifetime of the project, total
production and the net present value of the operation (net income of the operation over the life of the project in
terms of today's dollars), which includes the net operating earnings, taxes, expenditures on drilling, other capital
expenditures, etc. A positive net present value means that the project is a good investment. In this case the return
is greater than the discount rate, which represents the opportunity cost of capital. If the net present value is
negative, it means that money would have been better invested elsewhere.
The model is run twice-with and without the change due to the 316(b) Phase III requirements. The incremental
cost to retrofit I&E equipment is input into a capital expenditure line (which is used in both the cash flow and net
income calculations), and additional O&M and permitting costs are input to the cash flow section of the model.
The post-compliance results (including production, project life, and net present value of income) are compared to
those calculated under baseline assumptions.
There are two ways the increased costs can have an impact on a platform. First, any increase in operating costs
might raise total operating costs enough to cause the operating costs to exceed net revenues earlier than in the
baseline. If the platform life is reduced, there will be a concomitant loss of production. Second, any increase in
costs, whether operating, capital or permitting, could also drive the net present value of a marginal operation
negative. The decision in this case would be to not develop the project rather than build the project with I&E
controls in place, since the project would not be considered a good investment. If the platform has a positive net
present value under baseline conditions but a negative net present value in the post-compliance scenario, EPA
notes an impact on the platform and estimates the production lost as a result.
Due to issues with CBI, the detailed results of the platform-specific impacts are not reported here. See ERG
(2004d; CBI version) in the CBI portion of the Rulemaking Record for detailed information on impacts.
However, EPA determined that there would be no impacts on deepwater oil and gas development or production
due to the proposed rule's costs based on model results. Impacts on net present value of projects is expected to be
very small.
b. Barrier to Entry Analysis (Platform Level)
EPA uses the incremental capital costs and present value of initial permitting costs for compliance for new
deepwater and Alaska platforms to compare to the costs of construction of new platforms, identical to the
approach used to measure impacts on MODU owners. If the initial investment costs of compliance are a small
fraction of baseline construction costs, EPA assumes that compliance costs would not have a major impact on
future platforms and would not have an effect on a decision to build additional oil and gas production platforms.
Costs for constructing deepwater platforms are estimated to range from $114 million to $2.3 billion (see U.S.
EPA, 2000). Forest Oil (Forest Oil, 2004) reports that the 2002 capital outlay for the Osprey platform in Cook
Inlet was $120 million (which does not include exploration, delineation, or additional costs to continue to develop
the platform). For deepwater platforms, EPA estimates that a platform coming on line in 2007 would incur costs
of $291,253 (deepwater) and $685,161 (Alaska) in capital/installation costs plus the present value cost of the
initial round of permitting costs. The ratio of incremental compliance costs to construction costs ranges from 0.01
percent to 0.3 percent for deepwater projects and 0.6 percent for an Alaska project. This is a small fraction of
contingency on these projects.
c. Firm Level Impacts
The firms that are considered affected are those identified as currently having platforms or structures in the
deepwater that meet the proposed rule's criteria. In Alaska, Forest Oil is selected as the likeliest type of firm to
build an Alaska platform during the time frame of the analysis. All the firms considered likely to build a new
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities C3: EIAfor OOGE Facilities
platform/structure subject to the proposed rule have publicly available data on 2002 revenues. Each firm is
expected to bring on line four affected platforms over the period of analysis. For simplicity and to be
conservative, EPA assumes all four platforms are brought on line in the same year for comparison to one year's
revenues. The costs of compliance are calculated as the cost stream over the compliance lifetime of a
representative deepwater platform constructed in 2007 and an Alaska platform constructed in 2014, discounted to
the year of compliance and annualized (the same approach used for judging impacts on MODU owners). These
costs are then compared to firm-level revenues in a revenue test. Both pre-tax costs, reported in Table C3-5 above,
and after-tax costs are used to compare to revenues.
Table C3-6 presents the affected firms in both regions of concern (deepwater and Alaska), their annual revenues,
their annualized pre-tax costs of compliance applied to all potentially affected structures they might construct, and
the ratio of their compliance costs to revenues. As the table shows, costs to revenues are 0.012 percent or less for
all affected firms.
Table C3-6: Revenue Test for Platform Owners
Name
Amerada Hess
BP
ChevronTexaco
ExxonMobil
Forest Oil
Royal Dutch/Shell
Total
No. of
Platforms
4
4
4
4
1
4
21
Revenues
(Smillions)
$3,783
$178,721
$56,748
$205,000
$2,450
$235,598
$682,300
Pre-Tax PV
Costs
(Smillions)
$0.3
$0.3
$0.3
$0.3
$0.3
$0.3
$1.90
Pre-Tax
Costs to
Revenues
0.009%
<0.001%
0.001%
0.001%
0.012%
<0.001%
<0.001%
After-tax
Initial
Investment
Costs
$0.2
$0.2
$0.2
$0.2
$0.2
$0.2
$1.3
After-tax
Costs to
Revenues
0.006%
<0.001%
<0.001%
0.001%
0.007%
0.001%
O.001%
Source: SEC, 2003; U.S. EPA Analysis, 2004. See the Compliance Cost Model, DCN 7-4018.
C3-3 TOTAL COSTS AND IMPACTS AMONG ALL AFFECTED OIL AND GAS INDUSTRY
ENTITIES
Table C3-7 on the following page summarizes the total costs and impacts associated with the 316(b) Phase III
Rulemaking on the oil and gas industry.
As the table shows, impacts on new MODUs and platforms and their associated firms are expected to be minimal,
Aggregate national after-tax compliance costs are also shown in the table. These costs total $1.8 million per year
for MODUs and $1.2 million per year for platforms, which is $3.1 million per year over all affected new oil and
gas operations estimated to be constructed over the period of the analysis.
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities C3: EIAfor OOGE Facilities
Table C3-7: Total National Aggregate Annualized After-tax Compliance Costs and Impacts
for the Oil and Gas Industry (2003$)
O&G Facility
MODUs
Platforms
Total"
Annualized After-tax Compliance Costs
(in Sm i II ions, discounted to year of compliance)
$1.8
$1.2
$3.1
Facility Impacts
0
0
0
Firm Impacts
0
0
0
a Totals may not sum due to independent rounding.
Source: U.S. EPA Analysis, 2004. See the Compliance Cost Model, DCN 7-4018.
C3-4 TOTAL COSTS TO GOVERNMENT ENTITIES AND SOCIAL COSTS OF THE 316(B) PHASE III RULEMAKING
C3-4.1 Total Costs to Government Entities
The costs in Table C3-8 reflect those costs to Region 6, Region 4 and Region 10 to administer the costs of the
three General Permits as well as to maintain these permits overtime as the number of permittees increases or
decreases. The details of individual cost items and timing assumptions can be seen in Chapter D2: UMRA
Analysis. Costs are arrayed over the time frame of the analysis and discounted at either 3% or 7% to 2007.
Table C3-8: Total Costs to Government Entities (2003$)
Government Entity
Present Value Cost (2007)
Annualized Cost
3% Discount Rate
EPA Region 6
EPA Region 4
EPA Region 10
Total government cost
$4,670,139
$3,792,250
$40,778
$8,503,168
$231,327
$187,843
$2,020
$421,190
7% Discount Rate
EPA Region 6
EPA Region 4
EPA Region 10
Total government cost
$2,394,817
$1,888,682
$22,602
$4,306,101
$180,364
$142,245
$1,702
$324,311
Source: U.S. EPA 2004a; U.S. EPA Analysis, 2004. See the Compliance Cost Model, DCN 7-4018.
C3-4.2 Total Social Costs
The total costs to government entities, plus the total pre-tax cost to industry are used as an approximation of total
social cost. There is no lost production of oil and gas calculated and no closures or firm failures are estimated.
Thus no social costs associated with employment dislocations are incurred. A small deadweight loss would occur,
C3-15
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities C3: EIAfor OOGE Facilities
but this is not calculated. Consumer and producer surplus losses are also not calculated, but they are captured in
the total pre-tax cost to industry.
Table C3-9 presents the total social costs associated with the 316(b) requirements under the proposed rule. The
annualized social costs of the rule associated with the affected oil and gas industries under the proposed rule is
approximately $3.7 million using the 3 percent social discount rate suggested by OMB and $3.0 million per year
using OMB's 7 percent discount rate.
Table C3-9: Total Social Costs of the Proposed Rulemaking for Oil and Gas Industries
(in millions, 2003$)
Cost Item
Present Value Cost (2007)
3 % Discount Rate
7 % Discount Rate
Note: Totals may not add due to independent rounding.
Source: EPA Analysis, 2004. See the Compliance Cost Model, DCN 7-4018.
Annualized Costs
MODU compliance costs
Platform compliance costs
Total pre-tax compliance costs
Government cost
Total social costs
$37.5
$28.0
$65.4
$8.5
$73.9
$1.9
$1.4
$3.2
$0.4
$3.7
MODU compliance costs
Platform compliance costs
Total pre-tax compliance costs
Government costs
Total social costs
$21.4
$14.6
$36.0
$4.3
$40.3
$1.6
$1.1
$2.7
$0.3
$3.0
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§ 316(b) Proposed Rule: Phase III - EA, Part C: Economic Analysis for Phase III New OOGE Facilities C3: EIAfor OOGE Facilities
REFERENCES
Drilling Contractor. 2003. Large jackups are most notable of new built rigs. November/December.
ERG. 2004a. Cost Timing and Cost Sharing Assumptions for Industry Compliance Costs. Memorandum to the
316(b) Phase III Rulemaking Record. September 24, 2004.
ERG. 2004b. Costs for Existing Oil and Gas Facilities Had These Been Regulated Under 316(b) Phase III.
Memorandum to the 316(b) Phase III Rulemaking Record. September 24, 2004.
ERG. 2004c. MODU Cost and Impact Calculations. Memorandum to the 316(b) Phase III Rulemaking Record
(Non-CBI version) and CBI Rulemaking Record (CBI version). September 24, 2004.
ERG. 2004d. Detailed Methodology and Results for Oil and Gas Production Platforms. Memorandum to the
316(b) Phase III Rulemaking Record (Non-CBI version) and CBI Rulemaking Record (CBI version). October 7,
2004.
Forest Oil. 2002. Presentation on Forest Oil Corporation given at Bane of America Securities Energy and Power
Conference. June 2002 Available athttp://www.forestoil.com/downloads/presentation_bancofamerica_
jun_2002.pdf
Hatton, S., H. Howells, and M. Hudson. 2002. Reducing Drilling Costs: A High Pressure Small Bore Drilling
Riser System. 2H Offshore Engineering Ltd. Available at http://www.2hoffshore.com/papers/docs/new/
Paper61.pdf
SEC. 2003. Security and Exchange Commission Edgar Database of Corporate Filings.
http: //www .sec .gov/edgar. shtml
U.S. Department of the Treasury. 2002. Internal Revenue Service (IRS). 2002 Instructions for Forms 1120 &
1120-A, page 17 (Federal tax rates).
U.S. Environmental Protection Agency (U.S. EPA). 2004a. Information Collection Request for Cooling Water
Intake Structures Phase III Proposed Rule. ICR Number 2169.01. October 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2004b. Technical Development Document for the Proposed
Section 316(b) Phase III Facilities. EPA-821-R-04-015. November 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Economic Analysis of Final Effluent Limitations
Guidelines and Standards for Synthetic-Based Drilling Fluids and Other Non-Aqueous Drilling Fluids in the Oil
and Gas Extraction Point Source Category. EPA-821-B-00-012. December 2000.
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses for Existing and New Facilities
DLRFA
Chapter Dl: Regulatory Flexibility Analysis
Dl-2
Dl-3
Dl-2
Dl-2
Dl-7
Dl-7
Dl-7
Dl-8
Dl-10
Dl-11
CHAPTER CONTENTS
Dl-l Analysis of Manufacturers
Dl-1.1 Small Entity Determination
Dl-1.2 Percentage of Small Entities Regulated
Dl-l.3 Sales Test for Small Entities
Analysis of Electric Generating Facilities
D 1-2.1 Small Entity Determination
D 1-2.2 Percentage of Small Entities Regulated
Dl-2.3 Sales Test for Small Entities
Analysis of New Offshore Oil and Gas Extraction
Facilities Dl-12
Dl-3.1 Small Entity Determination Dl-12
Dl-3.2 Percentage of Small Entities Regulated . Dl-14
Dl-3.3 Sales Test for Small Entities Dl-14
Summary of Regulatory Flexibility Analysis . . . Dl-14
References Dl-16
Appendix 1 to Chapter Dl D1A1-1
Appendix 2 to Chapter Dl D1A2-1
Dl-4
INTRODUCTION
The Regulatory Flexibility Act (RFA) requires
EPA to consider the economic impact a proposed
rule would have on small entities. The RFA
requires an agency to prepare a regulatory
flexibility analysis for any notice-and-comment
rule it promulgates, unless the Agency certifies
that the rule "will not, if promulgated, have a
significant economic impact on a substantial
number of small entities" (The Regulatory
Flexibility Act, 5 U.S.C. § 605(b)).
Small entities include small businesses, small
organizations, and small governmental
jurisdictions. For assessing the impacts of the
proposed regulation proposal on small entities, a
small entity is defined as: (1) a small business as
defined by the Small Business Administration's
(SBA) regulations at 13 CFR 121.201; (2) a small
governmental jurisdiction that is a government of a city, county, town, school district or special district with a
population of less than 50,000; and (3) a small organization that is any not-for-profit enterprise which is
independently owned and operated and is not dominant in its field.
The SBA small business size standards changed from a SIC code-based system to a NAICS code-based system on
October 1, 2000. Since EPA conducted its data collection effort for existing facilities before this change, EPA
performed the small entity analysis for existing facilities based on SIC codes. EPA then conducted a subsequent
analysis to determine whether use of NAICS codes-based size standards would yield different results. This
analysis showed, for the three proposed options as well as for all other evaluated options, that the small entity
determinations and assessments of small entity impacts are the same under both SIC-based and NAICS-based size
standards. Appendix 2 to this chapter presents the findings for the comparison of the SIC-based analysis and the
NAICS-based analysis.
To evaluate the potential impact of this rule on small entities, EPA identified the domestic parent entity of each
facility potentially subject to Phase III regulation, and determined its size. EPA then used a "sales test" to assess
the potential severity of economic impact on small entities. The test compares annualized compliance cost to total
entity sales revenues. This analysis uses three cost-to-revenue ranges to report the estimated number and
percentage of small entities incurring compliance costs: less than 1%; at least 1% but less than 3%; and at least
3%. EPA assumed that small entities with costs of 3% of revenues or more might be significantly impacted as a
result of the proposed rule.
EPA is proposing three options that define which existing facilities would be subject to the national categorical
requirements under the proposed rule: the "50 MOD for All Waterbodies" option (the "50 MOD All" option); the
"200 MOD for All Waterbodies" option (the "200 MOD All" option); and the "100 MOD for Certain
Waterbodies" option (the "100 MOD CWB" option). These options all require the same reduction in
impingement and entrainment (I&E), and differ only by design intake flow (DIP) applicability threshold and
waterbody type. As a result, the number of facilities that would be required to meet the national categorical
requirements varies among the three options: the 50 MGD All option, the proposed option with the broadest
applicability, would apply national categorical requirements to 136 facilities. The 200 MGD All option would
apply national categorical requirements to 25 facilities, while the 100 MGD CWB option would apply national
Dl-l
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Dl: RFA
categorical requirements to 19 facilities. In addition to the analyses for the three proposed options, the appendix
to this chapter presents analyses for five other options evaluated but not proposed for existing facilities (Option 1,
Option 2, Option 3, Option 4, and Option 6).
EPA is also proposing section 316(b) requirements for new offshore oil and gas extraction facilities (also
abbreviated as "new OOGE facilities") in Phase III. These proposed requirements are based on a 2 MOD DIP
applicability threshold and would apply to an estimated 124 new offshore oil and gas extraction facilities.
EPA's analysis found that this proposed rule would not have a significant economic impact on a substantial
number of small entities. This determination is based on the finding that this rule would apply national
categorical requirements to only one small entity (entities that operate facilities subject to permit specifications
based on best professional judgment, BPJ, would not incur incremental compliance costs under this rule and are
excluded from this analysis). In the Manufacturers and Electric Generators industry segments, no small entity is
expected to meet the lowest proposed flow threshold of 50 MOD and therefore, no small entity in these segments
would be subject to the national requirements. In the new offshore oil and gas extraction industry segment, EPA
estimates that the proposed rule would apply national requirements to only one small entity. EPA estimates that
this entity would incur annualized after-tax compliance costs of less than 0.1% of annual sales revenues.
Dl-1 ANALYSIS OF MANUFACTURERS
EPA's 2000 Section 316(b) Detailed Industry Questionnaire (U.S. EPA, 2000) identified 199 facilities in the five
Primary Manufacturing Industries - Paper, Chemicals, Petroleum, Aluminum, and Steel - assessed as potentially
subject to the options considered for Phase III existing facilities. As described in Chapter B3: Economic Impact
Analysis for Manufacturers, these 199 facilities represent 532 facilities in those industries.1 In addition, this
section also considers the effect of the regulation on facilities in Other Industries that are also expected to be
affected by the regulation. The analysis of facilities in Other Industries is restricted to a sample of 22 facilities for
which EPA received surveys but which are not part of the statistically valid sample. EPA estimates that 30 of the
199 sampled facilities in the five Primary Manufacturing Industries, representing 76 facilities industry-wide, and
four of the 22 known facilities in Other Industries are baseline closures; these facilities are excluded from this
analysis (see Chapter B3: Economic Impact Analysis for Manufacturers for more information). The remainder of
the small entity analysis for Manufacturers therefore discusses research done for the 169 sample facilities in
Primary Manufacturing Industries, representing 456 facilities that are open in the baseline, and an additional 18
known facilities in Other Industries that are open in the baseline.
Although EPA's sample-based data for the Primary Manufacturing Industries support specific estimates of the
number of small entity-owned facilities, these data do not support a specific estimate of the number of small
entities that own these facilities. As a result, EPA estimated the number of small entities owning facilities in the
Primary Manufacturing Industries as a range, based on alternative assumptions about the ownership of regulated
manufacturing facilities by small entities.
Dl-1.1 Small Entity Determination
The small entity determination for Manufacturers facilities was conducted in two steps:
*• Identify the domestic parent entity of the 169 sample facilities in the Primary Manufacturing Industries
and the 18 additional known facilities in Other Industries.
*• Determine the size of the entities owning the 169 sample facilities in the Primary Manufacturing
Industries and the 18 additional known facilities in Other Industries.
1 EPA applied sample weights to the 199 facilities to account for non-sampled facilities and facilities that did not respond to the
survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer to the Information Collection Request (U.S.
EPA, 1999a).
Dl-2
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses for Existing and New Facilities
DLRFA
a. Identification of Domestic Parent Entities
The RFA analysis is conducted at the highest level of domestic ownership, referred to as the "domestic parent
entity" or "domestic parent firm." EPA gathered information on the domestic parent firm in the Detailed Industry
Questionnaire. In instances where a response was not provided, EPA used several other data sources to determine
the domestic parent firm including the Screener Questionnaire, corporate websites, and Dun & Bradstreet data
(D&B, 2003). EPA determined that 100 unique entities own the 169 facilities in the Primary Manufacturing
Industries. One known facility in the Other Industries was also found to be owned by a firm that owns facilities in
the Primary Manufacturing Industries. Therefore, the 100 unique entities own 170 sample facilities. The
remaining 17 facilities in Other Industries were found to be owned by 14 unique entities.
b. Size Determination of Domestic Parent Entities
EPA identified the size of each entity owning a potentially regulated Manufacturers facility using Small Business
Administration (SBA) size threshold guidelines.2 These thresholds define the minimum firm-level employment or
revenue size, by industry (four-digit SIC codes), below which a business qualifies as a small business under SBA
guidelines.3 To determine the entity size, EPA used data from the Detailed Industry Questionnaire, as well as the
Screener Questionnaire, corporate websites, the U.S. Securities and Exchange Commision's (SEC) FreeEdgar
database, corporate websites, and Dun & Bradstreet data (SEC, 2004; D&B, 2003).
Table Dl-1 presents the unique firm-level 4-digit SIC codes and corresponding SBA size standards used to
determine the size of entities that own Manufacturers facilities potentially subject to Phase III regulation.
Table Dl-1:
SIC Code
0133
1011
1311
2011
2046
2061
2062
2063
2075
2211
2421
2611
2621
2631
2653
2673
Unique 4-Digit Firm-Level SIC Codes and
SIC Description
Sugarcane and Sugar Beets
Iron Ores
Crude Petroleum and Natural Gas
Meat Packing Plants
Wet Com Milling
Cane Sugar, Except Refining
Cane Sugar Refining
Beet Sugar
Soybean Oil Mills
Broadwoven Fabric Mills, Cotton
Sawmills and Planing Mills, General
Pulp Mills
Paper Mills
Paperboard Mills
Corrugated and Solid Fiber Boxes
Plastics, Foil, and Coated Paper Bags
SBA Size Standards for Manufacturers a
SBA Size Standard
$0.5 Million
500 Employees
500 Employees
500 Employees
750 Employees
500 Employees
750 Employees
750 Employees
500 Employees
1,000 Employees
500 Employees
750 Employees
750 Employees
750 Employees
500 Employees
500 Employees
2 The SBA website provides the most recent size thresholds at http://www.sba.gov/regulations/siccodes.
3 For a comparison of the small entity determination using SIC codes and NAICS codes, respectively, see Appendix 2 to this chapter.
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses for Existing and New Facilities
DLRFA
Table Dl-1:
SIC Code
2679
2711
2812
2813
2819
2821
2824
2833
2834
2851
2869
2873
2874
2891
2899
2911
3312
3313
3315
3316
3317
3334
3353
3421
3714
3728
3999
5153
5171
6141
6719
Unique 4-Digit Firm-Level SIC Codes and SBA Size Standards
SIC Description
Converted Paper and Paperboard Products, NEC
Newspapers: Publishing, or Publishing and Printing
Alkalies and Chlorine
Industrial Gases
Industrial Inorganic Chemicals, NEC
Plastics Material and Synthetic Resins, and Nonvulcanizable Elastomers
Manmade Organic Fibers, Except Cellulosic
Medicinal Chemicals and Botanical Products
Pharmaceutical Preparations
Paints, Varnishes, Lacquers, Enamels, and Allied Products
Industrial Organic Chemicals, NEC
Nitrogenous Fertilizers
Phosphatic Fertilizers
Adhesives and Sealants
Chemicals and Chemical Preparations, NEC
Petroleum Refining
Steel Works, Blast Furnaces (Including Coke Ovens), and Rolling Mills
Electrometallurgical Products, Except Steel
Steel Wiredrawing and Steel Nails and Spikes
Cold-Rolled Steel Sheet, Strip, and Bars
Steel Pipe and Tubes
Primary Production of Aluminum
Aluminum Sheet, Plate, and Foil
Cutlery
Motor Vehicle Parts and Accessories
Aircraft Parts and Auxiliary Equipment, NEC
Manufacturing Industries, NEC
Grain and Field Beans
Petroleum Bulk Stations and Terminals
Personal Credit Institutions
Offices of Holding Companies, NEC
for Manufacturers a
SBA Size Standard
500 Employees
500 Employees
1,000 Employees
1,000 Employees
1,000 Employees
750 Employees
1 ,000 Employees
750 Employees
750 Employees
500 Employees
1 ,000 Employees
1,000 Employees
500 Employees
500 Employees
500 Employees
1,500 Employees
1,000 Employees
750 Employees
1,000 Employees
1,000 Employees
1,000 Employees
1 ,000 Employees
750 Employees
500 Employees
750 Employees
1 ,000 Employees
500 Employees
100 Employees
100 Employees
$5.0 Million
$5.0 Million
Source: U.S. SBA, 2000.
As discussed earlier, EPA estimated the number of small entities owning facilities in the manufacturing industries
as a range, based on alternative assumptions about the possible ownership of potentially regulated manufacturing
facilities by small entities. EPA considered two cases based on the sample weights developed from the facility
survey. These cases provide a range of estimates for (1) the number of firms incurring compliance costs and (2)
Dl-4
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Dl: RFA
the costs incurred by any firm owning a regulated facility. Chapter B3: Economic Impact Analysis for
Manufacturers provides a more detailed description of these cases.
Case 1: Upper bound estimate of number of firms owning facilities that face requirements under the
regulation; lower bound estimate of total compliance costs that a firm may incur.
For this case, EPA assumed (1) that a firm owns only the regulated sample facility(ies) that it is known to own
from the sample analysis and (2) that this pattern of ownership, observed for sampled facilities and their owning
firms, extends over the facility population represented by the sample facilities. This case minimizes the
possibility of multi-facility ownership by a single firm and thus maximizes the count of affected firms, but also
minimizes the potential cost burden to any single firm.
Case 2: Lower bound estimate of number affirms owning facilities that face requirements under the
regulation; upper bound estimate of total compliance costs that a firm may incur.
For this case, EPA inverted the prior assumption and assumed that any firm owning a regulated sample
facility(ies) owns the known sample facility(ies) and all of the sample weight associated with the sample
facility(ies). This case minimizes the count of affected firms, while tending to maximize the potential cost burden
to any single firm.
Data in the rest of this section are presented by the industry sector of the firm. EPA determined firm sector based
on the sample facilities owned by the firm. If all of the sampled facilities owned by the firm are in the same
industry sector, then that industry sector was assigned to the firm. If sample facilities owned by the firm are in
more than one industry sector, then the firm was assigned to the "multiple industries" firm sector. As discussed
earlier, one known facility in the Other Industries group was found to be owned by a firm that owns facilities in
the Primary Manufacturing Industries. This firm is included in the data reported for multiple industries. The
remaining 14 entities that were found to own 17 facilities in Other Industries are presented separately.
The number of entities in Primary Manufacturing Industries that would be required to meet the national
categorical requirements set by the proposed options varies by option based on the DIP applicability threshold and
waterbody type specified in the option. Under the 50 MGD All option, between 46 (Case 2 estimate) and 105
(Case 1 estimate) firms would potentially be subject to Phase III regulation. Under the 200 MGD All option, the
number of firms potentially regulated is between 14 (Case 2) and 21 (Case 1). Finally, the 100 MGD CWB
option would potentially regulate between 12 (Case 2) and 21 (Case 1) entities. EPA determined that no firms
owning regulated 316(b) manufacturing facilities would be small.
Table D1-2 on the following page presents the total number of firms with facilities subject to the national
categorical requirements, as well as the number and percentage of those firms determined to be small. The data
are shown for the two ownership cases for the three proposed options.
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses for Existing and New Facilities
DLRFA
Table Dl-2: Number of Firms by Firm Sector and Size (assuming two different ownership cases)
Firm Sector
Case 1: Upper bound estimate of number
of firms owning facilities that face
requirements under the regulation
Total Number of Percentage
Number of Small of Firms that
Firms Firms are Small
Case 2: Lower bound estimate of number
of firms owning facilities that face
requirements under the regulation
Total Number of Percentage
Number of Small of Firms that
Firms Firms are Small
50 MOD All Option
Paper
Chemicals
Petroleum
Steel
Aluminum
Multiple Industries
Firms that own facilities in Primary
Manufacturing Industriesa>b
Additional firms that own known
facilities in Other Industries"
26
42
11
15
3
8
105
4
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
13
12
9
7
1
4
46
4
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
200 MGD All Option
Paper
Chemicals
Petroleum
Steel
Aluminum
Multiple Industries
Firms that own facilities in Primary
Manufacturing Industries3'1"
Additional firms that own known
facilities in Other Industries'1
3
4
3
7
0
5
21
1
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2
3
3
2
0
4
14
1
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
100 MGD CWB Option
Paper
Chemicals
Petroleum
Steel
Aluminum
Multiple Industries
Firms that own facilities in Primary
Manufacturing Industries3'1"
Additional firms that own known
facilities in Other Industries'1
2
7
5
3
0
4
21
1
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
1
3
4
1
0
3
12
1
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
a Excludes firms whose only sample facilities close in the baseline.
b Individual numbers may not add up to totals due to independent rounding.
Source: U.S. EPA Analysis, 2004.
Dl-6
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Dl: RFA
Dl-1.2 Percentage of Small Entities Regulated
As part of its assessment of the small entity impact of the proposed rule on Manufacturers, EPA estimated the
percentage of all small entities in the Primary Manufacturing Industries that would be expected to be subject to
the national requirements for each of the three proposed options. Because the analysis of facilities in Other
Industries is not based on a statistically valid sample, EPA could not estimate the number of entities in Other
Industries that would be subject to the regulatory requirements of the proposed options, nor the percentage that
are small entities. From its prior analysis of the use of cooling water in industries other than the electric power
industry, EPA judges the overall effect and coverage of Phase III regulation in the Other Industries to be minor in
relation to the effect and coverage in the five Primary Manufacturing Industries.
EPA used the Statistics of U.S. Businesses (SUSB) published by the Small Business Administration to estimate
the total number of manufacturing establishments owned by small firms in each of the five Primary
Manufacturing Industries. EPA included all of the SIC industry groups with a sample facility in the five Primary
Manufacturing Industries. Based on the SUSB reporting framework, EPA considered all establishments owned
by a firm with 500 or fewer employees to be a small entity-owned establishment. This assumption will tend to
underestimate the number of small entity-owned establishments in these industry groups because the SBA small
entity size criterion is greater than 500 employees for some SIC codes. Underestimating the total number of small
entities would result in an overestimate of the percentage of small entities in these industries that subject to Phase
III regulation.
EPA estimated that 5,113 entities within the five Primary Manufacturing Industries are small. However, since no
small entity is expected to be subject to national requirements under the three proposed options, the percentage of
all small entities subject to Phase III regulation is zero.
Dl-1.3 Sales Test for Small Entities
In addition to considering the fraction of small entities in each of the affected Manufacturers industries that would
be subject to Phase III regulation, EPA also assessed the extent of economic/financial impact on small entities by
comparing estimated compliance costs to estimated entity revenue (also referred to as the "sales test"). The
analysis is based on the ratio of estimated annualized after-tax compliance costs to annual revenue of the entity.
For this analysis, EPA judges that entities for which annualized compliance costs equal or exceed 3% of revenue,
might experience a significant economic/financial impact as a result of the regulatory requirements under the three
proposed options.
EPA included the following compliance cost categories in this analysis: pilot study capital costs; one-time
technology costs of complying with the regulatory requirements; one-time costs of installation downtime; annual
operating and maintenance costs; and permitting costs (initial permit costs, annual monitoring costs, and permit
reissuance costs). A detailed summary of how these costs were developed is presented in Chapter Bl: Summary
of Cost Categories and Key Analysis Elements for Existing Facilities and Chapter B3: Economic Impact Analysis
for Manufacturers. EPA collected revenue data for the small entities in EPA's Detailed Industry Questionnaire.
In the Manufacturers segment, EPA determined that no small entities would face regulatory requirements under
the three proposed options; therefore, no small entities would incur compliance costs or significant economic
impact under these options.
D1 -2 ANALYSIS OF ELECTRIC GENERATING FACILITIES
EPA's 2000 Section 316(b) Detailed Industry Questionnaire (U.S. EPA, 2000) identified 113 Electric Generating
facilities potentially subject to Phase III regulation. EPA estimates that three of the 113 sample facilities are
baseline closures; these facilities are excluded from this analysis (see Chapter B5: Economic Impact Analysis for
Electric Generators for more information). The remaining 110 sample facilities represent 114 facilities in the
Dl-7
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Dl: RFA
industry.4 It is impossible, however, to determine the parent entities of extrapolated facilities. The remainder of
the small entity analysis for Electric Generators therefore discusses research done for the 110 sample facilities
only.
Dl-2.1 Small Entity Determination
Similar to the analysis for Manufacturers, the small entity determination for Electric Generators was conducted in
two steps:
*• Identify the domestic parent entity of the 110 sample facilities.
*• Determine the size of the entities owning the 110 sample facilities.
a. Identification of Domestic Parent Entities
As previously described for Manufacturers, the RFA analysis is conducted at the highest level of domestic
ownership, referred to as the "domestic parent entity." EPA first identified the immediate owner of the 110
sample Phase III Generators using the 2001 Form EIA-860 (U.S. DOE, 2001a). The immediate owners of power
plants can be classified into one of the following seven categories: investor-owned utility (IOU), nonutility,
Federal utility, State authority, municipality, political subdivision, or rural electric cooperative. lOUs and
nonutilities are private businesses; Federal utilities, State authorities, municipalities, and political subdivisions are
public sector entities; and rural electric cooperatives are not-for-profit enterprises.5 EPA conducted research to
determine changes in facility- and entity-level ownership in order to identify the correct domestic parent entity of
each potential Phase III Electric Generator. EPA incorporated known ownership changes through the 2002
calendar year, but did not incorporate changes in facility/entity ownership that occurred after 2002 to maintain
consistency in its analyses.
Public sector entities and electric cooperatives are generally not owned by other entities. EPA therefore assumed
that these entities are the domestic parents of the facilities that they own. lOUs and nonutilities, on the other
hand, are often owned by holding companies. A holding company is defined by the U.S. Census Bureau as being
"primarily engaged in holding the securities of (or equity interests in) companies and enterprises for the purpose
of owning a controlling interest or influencing the management decisions of these firms" (Census, 2002). To
determine the domestic parent entity for potential Phase III Generators owned by an IOU or a nonutility, EPA
used several publicly available data sources, including data from the Department of Energy's (DOE) Energy
Information Administration, 2001 Form EIA-860; 10-K filings available through the U.S. Securities and
Exchange Commission's (SEC) FreeEdgar database; corporate websites; and Dun and Bradstreet data (U.S.
DOE, 200la; SEC, 2004; D&B, 2003).
EPA determined that 72 unique domestic parent entities own the 110 sample Electric Generators.
b. Size Determination of Domestic Parent Entities
Different size thresholds apply to different types of entity (i.e., private businesses, public sector entities, and not-
for-profit enterprises). Therefore, EPA used multiple data sources to determine the sizes of the Phase III domestic
parent entities:
4 EPA applied sample weights to the 113 facilities to account for non-sampled facilities and facilities that did not respond to the
survey. For more information on EPA's 2000 Section 316(b) Industry Survey, please refer to the Information Collection Request (U.S.
EPA, 1999a).
5 No political subdivisions were found to be subject to the national categorical requirements under any of the evaluated options.
Political subdivisions are therefore not discussed in this chapter.
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses for Existing and New Facilities
DLRFA
*• For private businesses (including lOUs and nonutilities), the small entity size is defined based on the
parent entity's SIC code and the related size standard set by the Small Business Administration (SBA).6
The SBA standards are based on employment, sales revenue, or total electric output (in megawatt hours,
MWh), by 4-digit SIC code. EPA used Dun and Bradstreet data, as well as the following publicly
available data sources, to obtain the information necessary to determine the entity size for private
businesses: 10-K filings available through the U.S. Securities and Exchange Commission's (SEC)
FreeEdgar database, 1999 - 2001 EIA Form-860, U.S. Census Data, and company websites (D&B, 2003;
SEC, 2004; U.S. DOE, 2001a; Census, 2003). Table Dl-5 presents the unique firm-level SIC codes and
the corresponding SBA size standards for Electric Generators that were used to determine the size of
privately-owned entities.
*• All Federal and State governments are considered large for the purpose of the RFA analysis (U.S. EPA,
1999b).
*• Municipalities are considered public sector entities. Public sector entities are defined as small if they
serve a population of less than 50,000. Population data for these entities were obtained from the U.S.
Census Bureau (Census, 2003).
*• The SBA threshold for SIC 4911 (4 million MWh of total electric output) was used for the size
determination of rural electric cooperatives. The size determination was based on data from the 1999 -
2001 Form EIA-861 (U.S. DOE, 2001b).
Table Dl-3 presents the unique firm-level 4-digit SIC codes and corresponding SBA size standards that were used
to determine the size of the entities that own Electric Generating facilities potentially subject to Phase III
regulation
Table Dl-3: Unique 4-Digit Firm-Level SIC Codes and SBA Size Standards for
Electric Generators
SIC Code
1311
1542
2621
4911
4924
4925
4932
4953
6211
9111
Source: U.S.
SIC Description
Crude Petroleum and Natural Gas
General Contractors - Nonresidential Buildings, Other than Industrial Buildings
and Warehouses
Paper Mills
Electric Services
Natural Gas Distribution
Mixed, Manufactured, or Liquefied Petroleum Gas Production and/or
Distribution
Gas and Other Services Combined
Refuse Systems
Security Brokers, Dealers and Flotation Companies
Executive Offices
SBA, 2000.
SBA Size Standard
500 Employees
$27.5 Million
750 Employees
4 million MWh
500 Employees
$5.0 Million
$5.0 Million
$10.0 Million
$5.0 Million
50,000 Population
For a comparison of the small entity determination using SIC codes and NAICS codes, respectively, see Appendix 2 to this chapter.
Dl-9
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Dl: RFA
Based on these size thresholds, EPA determined that 13 out of the 72 parent entities owning the 110 sample
facilities are small entities. Nine of the 13 small entities are municipalities, two are nonutilities, and two are rural
cooperatives.
Under the proposed options, the minimum applicability threshold for national categorical requirements is 50
MGD or greater. Since Electric Generators with a DIP of 50 MGD or greater were covered by Phase II
regulation, no Phase III Generator would be subject to the national categorical requirements under any of the
proposed options.
Dl-2.2 Percentage of Small Entities Regulated
As part of its assessment of the small entity impact of the proposed rule on Electric Generators, EPA compared
the number of small entities potentially subject to Phase III regulation to the number of small entities in the entire
industry. While no small entities would be subject to the national categorical requirements under any of the
proposed options, some of the other evaluated options would regulate small entities. This analytical step is
therefore relevant to the other evaluated options only.
EPA estimated the total number of small entities in the United States using information collected by the Energy
Information Administration (EIA). Based on Form EIA-861, 858 unique lOUs, Federal utilities, State authorities,
municipalities, and rural electric cooperatives operated electric power plants in the United States in 2001. In
addition, there were 2,127 nonutilities in 2001 (U.S. DOE, 2001a). EPA determined the entity sizes for rural
electric cooperatives based on their total electricity sales for 2001, as reported in Form EIA-861. All Federal
utilities and State authorities are assumed to be large. As described above, EPA researched holding company
information for Phase III lOUs and nonutilities, and population data for Phase III municipalities. It was not
feasible to conduct the same research for all those types of entities in the entire industry. EPA therefore used a
combination of methods to estimate the number of small lOUs, nonutilities, and municipalities operating in the
Electric Generating industry:
*• Investor-owned entities: EPA determined which lOUs would be considered small based on the electric
output threshold of 4 million MWh, using the 2001 Form EIA-861. However, EPA's analysis of the
domestic parent entity size of Section 316(b) lOUs (both for Phases II and III) showed that the small
entity determination based on the 4 million MWh threshold is not always the same as that based on the
holding company's SIC code. EPA identified seven lOU-owned Phase II and Phase III Generators that
would qualify as small entities based on the 4 million MWh total electric output threshold.7 However,
EPA's holding company research showed that only one of these seven lOUs, or 14%, would also be
considered small at the holding company level. EPA therefore estimates that industry-wide only 14% of
private entities that are small at the IOU level would also be small at the holding company level.
Accordingly, EPA reduced the industry-wide number of privately-owned small utilities (based on Form
EIA-861) by a factor of 86%. Using this method, EPA estimates that six investor-owned entities in the
Electric Generating industry are small.
*• Municipalities: EPA determined which municipalities would be considered small based on the electric
output threshold of 4 million MWh, using the 2001 Form EIA-861 data. As with lOUs, EPA's analysis
of Section 316(b) municipalities (both for Phases II and III) showed that the small entity determination
based on the 4 million MWh threshold is not always the same as that based on population. EPA's
research of municipalities owning facilities potentially subject to Phase III regulation, showed that 44
municipalities would be small based on the 4 million MWh size standard.8 Of these 44 entities, 26, or
59%, would also be considered small when using the population threshold. EPA therefore estimates,
7 EPA used information on small lOUs from both Phase II (five) and Phase III (two) to adjust the number of small lOUs in the
Electric Generating industry.
8 EPA used information on small in-scope municipalities from both Phase II (30) and Phase III (14) to adjust the number of small
municipalities in the Electric Generating industry.
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Dl: RFA
industry-wide, that only 59% of small municipalities, based on electric output, would also be small based
on population size. Accordingly, EPA reduced the industry-wide number of small municipalities (based
on Form EIA-861) by a factor of 41%. Using this method, EPA estimates that 302 municipalities in the
Electric Generating industry are small.
The adjustments made to IOU and municipality size determinations are based on the assumption that Section
316(b) lOUs and municipalities are representative of the EIA universe of electric utilities (for lOUs in terms of
their respective sizes at the utility level and the holding company level; for municipalities in terms of their
respective sizes based on electric output and population). If this is not the case, the industry-wide estimate of
small lOUs and municipalities may be over- or underestimated.
*• Nonutilities: Electric output data or other information to determine the entity sizes of nonutilities are not
available from the EIA or other public data sources. As a result, EPA estimated a range of the number of
small nonutilities based on two methods: (1) EPA assumed that the proportion of small nonutilities in the
industry as a whole is the same as the proportion of small nonutilities potentially subject to Phase III
regulation (i.e., two out of 26, or 7.7%);9 and (2) EPA assumed that the proportion of small nonutilities in
the industry as a whole is the same as the proportion of total lOUs, municipalities, political subdivisions,
and rural electric cooperatives estimated to be small based on electric output (i.e., 412 of 817, or 50.4%).
Using these two methods, EPA estimates that between 132 and 866 nonutilities within the entire Electric
Generating industry are small.
EPA estimates that the total number of small entities in the Electric Generating industry is between 544 and 1,278.
However, since no small entities would be subject to the national categorical requirements under any of the
proposed options, the percentage of all small entities subject to Phase III regulation is zero.
Dl-2.3 Sales Test for Small Entities
As previously described for Manufacturers, the final step in the RFA analysis consists of analyzing the cost-to-
revenue ratio of each small entity subject to Phase III regulation (also referred to as the "sales test"). The analysis
is based on the ratio of each parent entity's aggregated after-tax compliance costs (summed over each facility
owned by the parent entity and subject to the national categorical requirements) to its total sales revenue. EPA
used a threshold of 3% to determine entities that might experience a significant economic impact as a result of
Phase III regulation.
The estimated annualized after-tax compliance costs include all direct costs incurred by facilities: pilot study
capital costs; one-time technology costs of complying with the Phase III regulation; one-time costs of installation
downtime; annual operating and maintenance costs; and permitting costs (initial permit costs, annual monitoring
costs, and permit reissuance costs). A detailed summary of how these costs were developed is presented in
Chapter Bl: Summary of Cost Categories and Key Analysis Elements for Existing Facilities and Chapter B5:
Economic Impact Analysis for Electric Generators. None of the small entities that own facilities potentially
subject regulation owns more than one Electric Generating facility. Therefore, no small entity would be expected
to incur compliance costs for more than one facility under any of the evaluated options.
EPA collected revenue data for the small entities with potentially regulated Phase III Electric Generators from one
of several sources, listed in order of preference: (1) Dun and Bradstreet, (2) average utility revenue (1999-2001)
from Form EIA-861, and (3) other sources such as company annual reports or websites (D&B, 2003; U.S. DOE,
2001b).
As previously noted, Electric Generating facilities with a DIP of 50 MGD or greater, the minimum DIP
applicability threshold of the three proposed options, were covered under the final Section 316(b) Phase II rule.
Therefore, no Electric Generators are regulated or incur compliance costs under any of the proposed options.
9 The 26 nonutilities are the immediate owners of the 31 Phase III nonutility facilities. These 26 nonutilities are owned by the 21
entities presented in Table Dl-6.
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses for Existing and New Facilities
DLRFA
Dl-3 ANALYSIS OF NEW OFFSHORE OIL AND GAS EXTRACTION FACILITIES
This section discusses EPA's analysis of potential small entity impacts of the proposed rule on the new offshore
oil and gas extraction industry segment. The proposed Phase III regulation for new offshore oil and gas extraction
facilities is based on a 2 MOD DIP applicability threshold and would regulate an estimated 124 new offshore oil
and gas extraction facilities.
Dl-3.1 Small Entity Determination
EPA used the information on existing small entities in the offshore oil and gas extraction industry to estimate the
number of small entities associated with new facilities. EPA identified 24 small entities currently operating
mobile offshore drilling units or platforms that could potentially be regulated by the proposed option for new
facilities, should they construct new MODUs or platforms similar to those currently in operation.
a. Mobile Offshore Drilling Units (MODUs)
EPA first identified the operating companies of existing MODUs operating in the Gulf of Mexico and the number
of rigs owned by each company. EPA then linked these operating companies to their domestic parent companies.
EPA identified 21 parent firms potentially affected by the proposed rule for new facilities (see Table C2-2 in
Chapter C2: Profile of the Offshore Oil and Gas Extraction Industry). These affiliations were determined
primarily on the basis of Security and Exchange Commission (SEC) data using the FreeEdgar database, on which
all filings of publicly held firms are available (SEC, 2004). The 10-K and 8-K reports were the primary sources
used to collect this information. The 10-K annual reports generally list significant subsidiaries of the parent
company and are the source of income statement and balance sheet information used for characterizing financial
conditions at a firm. The subsidiary lists were used to confirm ownership relationships. The 8-K forms, in which
significant changes to the firm must be announced, are often the source of information on mergers and
acquisitions.
EPA identified the NAICS code for each of the domestic parent companies currently operating a MODU in the
Gulf of Mexico and the SB A size standard for each code. Table Dl-4 shows that of the 21 parent entities
operating MODUs in the Gulf of Mexico, only two entities could be identified as small. These companies own
approximately 0.5% of all MODUs operating in the Gulf of Mexico.
Table Dl-4: Unique 4-Digit Firm-Level SIC Codes, NAICS Classification, and SBA Size Standards for
Mobile Offshore Drilling Units
SIC Code
1311
1381
1389
2819
NAICS Code
211111
213111
213112
211112
NAICS Title
Crude Petroleum and Natural
Gas Extraction
Drilling Oil and Gas Wells
Support Activities for Oil and
Gas Operations
Natural Gas Liquid Extraction
SBA Size Standard
500 employees
500 employees
$7.5 million in revenues
500 employees
Total Number of
Firms3
Small
2
-
-
-
Large
-
6
1
1
a Does not include seven foreign firms and four unknown firms for which NAICS or SIC codes could not be located in publicly
available data.
Source: SEC Edgar Database; 10K filings; 13 CFRPart 121.
Dl-12
-------
§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Dl: RFA
EPA estimates that 80 jack-up MODUs, 20 semi-submersible MODU, and three drillships will be built during the
entire 20-year period of analysis, for a total of 103 new sources (see Chapter C2: Profile of the Offshore Oil and
Gas Extraction Industry for a detailed discussion of the estimated number of new MODUs). Given that large
companies currently operate approximately 99.5% of the existing facilities, EPA estimates that no small entities
will be building new MODUs potentially subject to Phase III regulation.
b. Platforms
»»» Gulf of Mexico
EPA determined, based on data from the Bureau of Land Management's Minerals Management Service (MMS),
that, on average, one potentially regulated structure is built per year in the deepwater portion of the Gulf of
Mexico. EPA therefore estimates that 20 structures will be constructed over the time frame of the analysis. With
the exception of a few subsea completions, which do not operate potentially regulated CWIS, only large firms
have built structures in the deepwater Gulf of Mexico. This trend is likely to continue, given the resources
required to construct deepsea structures, which sometimes exceed $1 billion dollars (EPA 821-B-00-012).
Therefore, all of these structures are assumed to be constructed by large firms.
»»» California
EPA does not project any platforms off the California coast to be constructed during the time period of evaluation.
Therefore, no small entities owning platforms in this area would be affected by this rule.
»»» Alaska
In Cook Inlet, Alaska, only one new platform has been constructed in the last 16 years. Most new exploration and
development in this region takes place from existing infrastructure or from onshore locations. No definitive plans
appear to be in place for any new platforms in State waters. In Federal waters, lower Cook Inlet is a source of
potential activity, since MMS completed a lease bid in April, 2004. However, given the long lead times between
lease bid to operation, it may be unlikely that this lease bid will result in new platforms during the time frame of
the analysis. To be conservative, however, EPA assumes that one such platform might be constructed in either
Federal or State waters and begin operation in 2014. In other Federal areas in the Alaska region, little new
activity is underway. BP has dropped plans for its Liberty project in the Beaufort Sea area. Although some leases
are actively registered in the Beaufort Sea, the time frame for development, if any is undertaken, is likely to be
beyond the time frame of this analysis. Because the most recently installed platform in Cook Inlet was built by a
small entity, EPA projects that one small entity in Alaska would potentially be affected by the rule. This platform
is estimated to have a DIP of greater than 2 MGD.
In summary, EPA projects that 20 new deepwater platforms in the Gulf of Mexico and one new platform in Cook
Inlet would be potentially regulated under the proposed rule. All new platforms expected to be built in the Gulf
of Mexico are assumed to be owned by large entities. The one new platform expected to be built in Cook Inlet is
assumed to be owned by a small entity. For more information on oil and gas platforms, including profiles and
projections for the number and type of new facilities estimated to begin operation, see Chapter C2: Profile of the
Offshore Oil and Gas Extraction Industry.
Dl-3.2 Percentage of Small Entities Regulated
Due to the capital requirements for constructing a new MODU or platform with a DIP of 2 MGD or more, very
few small businesses are expected to be affected by the proposed rule. For existing offshore oil and gas extraction
facilities, EPA identified two small businesses operating MODUs, 21 small businesses operating platforms in the
Federal Gulf of Mexico waters, and one small business operating a platform in Cook Inlet, Alaska for a total of 24
small businesses (four MODU owners and 37 platform owners could not be identified as small or large, since no
financial data on these firms were publicly available). EPA estimates one small entity would potentially be
subject to the proposed rule for new offshore oil and gas extraction facilities. Therefore, one of 24 identified
small entities in the offshore oil and gas extraction industry (4%) is estimated to be subject to Phase III regulation.
Dl-3.3 Sales Test for Small Entities
Dl-13
-------
§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses for Existing and New Facilities
DLRFA
There are no small entities projected to build new MODUs or deepwater platforms in the Gulf of Mexico that are
potentially subject to the proposed rule. In Alaska, Forest Oil is considered the likeliest type of firm to build an
Alaska platform during the time frame of the analysis. In 2002, Forest Oil reported revenues of $2,450 million.
The annualized pre-tax costs of compliance applied to all known affected or potentially affected structures owned
by Forest Oil are $0.28 million and the annualized after-tax costs are $0.21 million. The cost-to-revenue ratio for
the one small entity projected to be in scope of the proposed rule is therefore approximately 0.012% pre-tax or
0.008% after-tax.
Dl-4 SUMMARY OF REGULATORY FLEXIBILITY ANALYSIS
The RFA analysis, conducted in developing this proposed rule, is summarized in Table Dl-5 on the following
page. No small entity would be subject to the national categorical requirements for existing facilities under any of
the three proposed options. Only one small entity would be subject to the national categorical requirements for
new offshore oil and gas extraction facilities under the proposed rule. This small entity is estimated to incur
compliance costs of less than 0.1% of annual revenues. As a result of this analysis, EPA concluded that the
proposed rule would not have a significant economic impact on a substantial number of small entities
Table Dl-5: Summary of Small Entity Impact Ratio Ranges by Sector
Industry
Total Number of
Small Entities
Number of Small
Entities Owning
Facilities
Potentially Subject
to Regulation
Percentage of
Small Entities
Subject to
Regulation
Compliance Cost/Annual
Revenues
0-1%
1-3% >3%
Proposed Options for Existing Facilities / 2 MGD Option for New OOGE Facilities
Manufacturers
Electric Generators
New OOGE Facilities
Total
5,113
543 - 1,295
24 1
5,680 - 6,432 1
0.0%
0.0%
4.2%
0.0%
1
1
0 0
Source: U.S. EPA Analysis, 2004.
Dl-14
-------
§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Dl: RFA
REFERENCES
Dun and Bradstreet (D&B). 2003. Data extracted from D&B Webspectrum over 2002 and 2003.
Regulatory Flexibility Act. Pub. L. 96-354, Sept. 19, 1980, 94 Stat. 1164 (Title 5, Sec. 601 et seq.).
U.S. Census Bureau, Population Division (Census). 2003. National Population Dataset. Accessed September
2003. Available at: http://eire.census.gov/popest/estimates_dataset.php
U.S. Census Bureau (Census). 2002. 1997 NAICS Definitions: 551 Management of Companies and Enterprises.
Available at: http://www.census.gov/epcd/naics/NDEF551.HTM
U.S. Department of Energy (U.S. DOE). 2001a. FormEIA-860. Annual Electric Generator Report.
U.S. Department of Energy (U.S. DOE). 2001b. FormEIA-861. Annual Electric Power Industry Report.
U.S. Environmental Protection Agency (U.S. EPA). 2004. Technical Development Document for the Proposed
Section 316(b) Rule for Phase III Facilities. EPA-821 -R-04-015. November 2004.
U.S. Environmental Protection Agency (U.S. EPA). 2000. Detailed Industry Questionnaire: Phase II Cooling
Water Intake Structures.
U.S. Environmental Protection Agency (U.S. EPA). 1999a. Information Collection Request (ICR), Detailed
Industry Questionnaires: Phase II Cooling Water Intake Structures & Watershed Case Study Short
Questionnaire. August 1999.
U.S. Environmental Protection Agency (U.S. EPA). 1999b. Revised Interim Guidance for EPA Rulewriters:
Regulatory Flexibility Act as amended by the Small Business Regulatory Enforcement Fairness Act. March 29,
1999.
U.S. Securities and Exchange Commission (SEC). 2004. FreeEdgar Database. Accessed between 1999 and
2004. Available at: www.freeedgar.com.
U.S. Small Business Administration (U.S. SBA). 2000. Small Business Size Standards. 13 CFR §121.201.
Dl-15
-------
§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 1 to Chapter Dl
Appendix 1 to Chapter Dl:
Summary of Results for Alternative Options
This appendix presents the results of the RFA analysis for the other options for existing facilities which were
evaluated in developing the proposed rule. For all options, facility counts and other results only include those
Phase III existing facilities that are (1) non-baseline closures and (2) subject to national categorical requirements
under the option. See Chapter B3: Economic Impact Analysis for Manufacturers and Chapter B5'.Economic
Impact Analysis for Electric Generators for more information on baseline closures and counts of facilities subject
to national categorical requirements under each option. See the main body of this chapter for a description of data
sources and methodologies used in these analyses.
In Table D1A-1 below, the other evaluated options for existing facilities are presented in order of increasing
stringency and/or applicability (e.g., the largest number of facilities would be subject to the national requirements
under Option 6, compared to any of the other evaluated options). As discussed in the main chapter, the estimates
of the total number of regulated small entities and the percentage of all small entities subject to Phase III
regulation exclude consideration of entities in Other Industries within the Manufacturers segment (see section Dl-
1.2). However, the estimated number of small entities incurring costs in the three cost-to-revenue ranges include
the known number of small entities owning known facilities in Other Industries.
Table D1A-1: Summary of Small Entity Impact Ratio Ranges for Existing Facilities by Sector
Industry
Number of Small
Entities Owning
Total Number of Facilities
Small Entities Potentially
Subject to
Regulation
Percentage of
Small Entities
Subject to
Regulation
Compliance Cost/ Annual
Revenues
0-1% 1-3% >3%
Option 3
Manufacturers3'1'
Electric Generators
Total0
5,113
543-1,295
5,656 - 6,408
3
9
12
0.1%
0.7% -1.7%
0.2%
4
6
10
-
3
3
-
-
-
Option 4
Manufacturers3-11
Electric Generators
Total0
5,113
543-1,295
5,656 - 6,408
1
2
3
0.0%
0.2% - 0.4%
0.0%-0.1%
1
-
1
-
1
1
-
1
1
Option 2
Manufacturers3'1'
Electric Generators
Total0
5,113
543-1,295
5,656 - 6,408
3
9
12
0.1%
0.7% -1.7%
0.2%
4
5
9
-
3
3
-
1
1
Option 1
Manufacturers3'1'
Electric Generators
Total0
5,113
543-1,295
5,656 - 6,408
3
9
12
0.1%
0.7% -1.7%
0.2%
4
4
8
-
4
4
-
1
1
D1A1-1
-------
§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 1 to Chapter Dl
Table D1A-1: Summary of Small Entity Impact Ratio Ranges for Existing Facilities by Sector
Industry
Number of Small
Entities Owning
Total Number of Facilities
Small Entities Potentially
Subject to
Regulation
Percentage of
Small Entities
Subject to
Regulation
Compliance Cost/ Annual
Revenues
0-1% 1-3% >3%
Option 6
Manufacturers3-1'
Electric Generators
Total0
5,113
543-1,295
5,656 - 6,408
10
13
23
0.2%
1.0% -2. 4%
0.4%
12
7
19
1
5
6
1
1
a For Manufacturers, the more conservative cost analysis (Case 2 estimate) is presented, which is likely to overstate the compliance
costs that would be incurred by any single small entity but may understate the number of small entities incurring compliance costs.
b For Manufacturers, the "Total Number of Small Entities" and the "Number of Small Entities Owning Facilities Potentially Subject
to Regulation" exclude entities in Other Industries; the numbers presented in the cost-to-revenue ranges include known entities in
Other Industries.
c Individual numbers may not sum to reported totals due to independent rounding.
Source: U.S. EPA Analysis, 2004.
D1A1-2
-------
§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 2 to Chapter Dl
Appendix 2 to Chapter Dl:
Small Business Determinations Based on
NAICS Codes
INTRODUCTION
As discussed in Chapter Dl, the SBA small business
size standards changed from a SIC code-based system
to a NAICS code-based system on October 1, 2000.
Because EPA conducted its data collection effort for
existing facilities before this change, EPA performed
the small entity analysis for existing facilities based on
SIC codes. This appendix presents an analysis to
determine whether use of NAICS code-based size standards would affect the results of the small entity analysis.
CHAPTER CONTENTS
D1A2-1 Identifying NAICS Codes and
Thresholds D1A2-1
D1A2-2 Differences in NAICS-Based and
SIC-Based Size Thresholds D1A2-7
D1A2-3 Results D1A2-9
References D1A2-10
D1A2-1 IDENTIFYING NAICS CODES AND THRESHOLDS
EPA started with the unique firm-level 4-digit SIC codes for firms that own existing facilities potentially subject
to Phase III regulation (see Tables Dl-1 and Dl-3). EPA used information from the Economic Census, 7997
Economic Census: Bridge Between NAICS and SIC, to determine 1997 NAICS Codes classifications for these
firms.1 EPA also used an additional Economic Census publication/dataset, 1997 NAICS Matched to 2002 NAICS,
to bring the data forward to NAICS 2002 so that the most current small business thresholds could be used
(Census, 2003). Table D1A2-1 presents firm-level SIC codes, SIC code descriptions, SIC code-based small
business thresholds, as well as the corresponding NAICS codes, NAICS code descriptions, and NAICS code-
based small business thresholds. For ease of reference, gray shading is used to highlight SIC codes with
corresponding NAICS code that have a different size standard.
Table D1A2-1: Small Business Thresholds Based on SIC Codes and NAICS Codes
SIC
Code
0133
1011
SIC Code Description
Sugarcane and Sugar
Beets
Iron Ores
SIC Size Standards
(employees/ Smillions)
$0.5
500
NAICS
Code
111991
111930
212210
NAICS Code Description
Sugar Beet Farming
Sugarcane Farming
Iron Ore Mining
NAICS Size Standards
(employees/ Smillions)
$0.75
$0.75
500
1311
1542
Crude Petroleum and
Natural Gas.
General Contractors -
Nonresidential
Buildings, Other than
Industrial Buildings and
Warehouses
500
$27.5
211111
236220
Crude Petroleum and Natural
Gas Extraction
Commercial and Institutional
Building Construction
500
$28.50
2011 Meat Packing Plants
500
311611 Animal (except Poultry)
500
1 Two different bridges are available from Census. One provides a bridge based on the processes/activities performed and the other
bridge is based on establishment classifications. This analysis uses the bridge based on establishment classifications (Census, 2000).
D1A2-1
-------
§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 2 to Chapter Dl
Table D1A2-1: Small Business Thresholds Based on SIC Codes and NAICS Codes
SIC
Code
_,T_ .-,,-,» ... SIC Size Standards
SIC Code Description , , ,«,.„. ..
(employees/ Simmons)
2046
2061
2062
2063
2075
2211
2421
2611
2621
2631
2653
2673
2679
2711
2812
2813
Wet Corn Milling 750
Cane Sugar, Except _m
T-. ,- . jUU
Refining
Cane Sugar Refining 750
Beet Sugar 750
Soybean Oil Mills 500
Broadwoven Fabric . mn
Mills, Cotton 1;UUU
Sawmills and Planing ,__
Mills, General
Pulp Mills 750
750
Paper Mills
750
Paperboard Mills 750
Corrugated and Solid
Fiber Boxes
Plastics, Foil, and
Coated Paper Bags
Converted Paper and
Paperboard Products, 500
N.E.C.
Newspapers: Publishing,
or Publishing and 500
Printing
Alkalies and Chlorine 1 ,000
Industrial Gases 1,000
NAICS
Code
»,-. „-,„,-, ... NAICS Size Standards
NAICS Code Descnption , , ,„ .... .
(employees/ Smilhons)
Slaughtering
311221
311311
311312
311313
311222
311225
313210
321113
321912
321918
321999
322110
322121
322122
322130
322211
322223
326111
322222
322231
322299
516110
325181
325120
Wet Com Milling
Sugarcane Mills
Cane Sugar Refining
Beet Sugar Manufacturing
Soybean Processing
Fats and Oils Refining and
Blending
Broadwoven Fabric Mills
Sawmills
Cut Stock, Resawing Lumber,
and Planing
Other Millwork(including
Flooring)
All Other Miscellaneous
Wood Product Manufacturing
Pulp Mills
Paper (except
Newsprint)Mills
Newsprint Mills
Paperboard Mills
Corrugated and Solid Fiber
Box Manufacturing
Plastics, Foil, and Coated
Paper Bag Manufacturing
Unsupported Plastics Bag
Manufacturing
Coated and Laminated Paper
Manufacturing
Die-Cut Paper and
Paperboard Office Supplies
Manufacturing
All Other Converted Paper
Product Manufacturing
Internet Publishing and
Broadcasting
Alkalis and Chlorine
Manufacturing
Industrial Gas Manufacturing
750
500
750
750
500
1,000
1,000
500
500
500
500
750
750
750
750
500
500
500
500
500
500
500
1,000
1,000
D1A2-2
-------
§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 2 to Chapter Dl
Table D1A2-1: Small Business Thresholds Based on SIC Codes and NAICS Codes
SIC
Code
2819
2821
2824
2833
2834
2851
2869
2873
2874
2891
2899
2911
3312
CT/- /- j T, • <,• SIC Size Standards
SIC Code Description , , . „ .„. ,
(employees/ Simmons)
Industrial Inorganic , „„„
Chemicals, N.E.C. '
Plastics Materials,
Synthetic Resins, and „_„
Nonvulcanizable
Elastomers
Manmade Organic
Fibers, Except 1,000
Cellulosic
Medicinal Chemicals „_„
and Botanical Products
Pharmaceutical „_„
750
Preparations
Paints, Varnishes,
Lacquers, Enamels, and 500
Allied Products
Industrial Organic , „„„
Chemicals, N.E.C. '
Nitrogenous Fertilizers 1 ,000
Phosphatic Fertilizers 500
Adhesives and Sealants 500
Chemicals and Chemical -„„
Preparations, N.E.C.
Petroleum Refining 1,500
Steel Works, Blast
Furnaces (Including , „„„
r^ 1 t~\ \ J 1,UUU
Coke Ovens), and
Rolling Mills
NAICS
Code
325131
325188
325998
331311
325211
325222
325411
325412
325510
325110
325120
325188
325193
325199
325311
325312
325520
311942
325199
325510
325998
324110
324199
331111
NAICS Code Description
Inorganic Dye and Pigment
Manufacturing
All Other Basic Inorganic
Chemical Manufacturing
All Other Miscellaneous
Chemical Product and
Preparation Manufacturing
Alumina Refining
Plastics Material and Resin
Manufacturing
Noncellulosic Organic Fiber
Manufacturing
Medicinal and Botanical
Manufacturing
Pharmaceutical Preparation
Manufacturing
Paint and Coating
Manufacturing
Petrochemical Manufacturing
Industrial Gas Manufacturing
All Other Basic Inorganic
Chemical Manufacturing
Ethyl Alcohol Manufacturing
All Other Basic Organic
Chemical Manufacturing
Nitrogenous Fertilizer
Manufacturing
Phosphatic Fertilizer
Manufacturing
Adhesive Manufacturing
Spice and Extract
Manufacturing
All Other Basic Organic
Chemical Manufacturing
Paint and Coating
Manufacturing
All Other Miscellaneous
Chemical Product and
Preparation Manufacturing
Petroleum Refineries
All Other Petroleum and Coal
Products Manufacturing
Iron and Steel Mills
NAICS Size Standards
(employees/ Smillions)
1,000
1,000
500
1,000
750
1,000
750
750
500
1,000
1,000
1,000
1,000
1,000
1,000
500
500
500
1,000
500
500
l,500a
500
1,000
D1A2-3
-------
§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 2 to Chapter Dl
Table D1A2-1: Small Business Thresholds Based on SIC Codes and NAICS Codes
SIC
Code
3313
3315
3316
3317
3334
3339
3353
3421
3714
CT/- /- j T, • <,• SIC Slze Standards
SIC Code Description , , . „ .„. ,
1 (employees/ Smilhons)
Electrometallurgical
Products, Except Steel
Steel Wiredrawing and
Steel Nails and Spikes '
Cold-Rolled Steel Sheet,
Strip, and Bars '
Steel Pipe and Tubes 1 ,000
Primary Production of
Aluminum '
Primary Smelting and
Refining of Nonferrous
metals, Except Copper
and Aluminum
Aluminum Sheet, Plate,
and Foil
Cutlery 500
Motor Vehicle Parts and
Accessories
NAICS
Code
331112
331492
331222
332618
331221
331210
331312
331419
331315
332996
332211
336211
336312
336322
336330
336340
336350
336399
NAICS Code Description
Electrometallurgical
Ferroalloy Product
Manufacturing
Secondary Smelting,
Refining, and Alloying of
Nonferrous Metal (except
Copper and Aluminum)
Steel Wire Drawing
Other Fabricated Wire
Product Manufacturing
Cold-Rolled Steel Shape
Manufacturing
Iron and Steel Pipe and Tube
Manufacturing from
Purchased Steel
Primary Aluminum
Production
Primary Smelting and
Refining of Nonferrous Metal
(except Copper and
Aluminum)
Aluminum Sheet, Plate and
Foil Manufacturing
Fabricated Pipe and Pipe
Fitting Manufacturing
Cutlery and Flatware (except
Precious) Manufacturing
Motor Vehicle Body
Manufacturing
Gasoline Engine and Engine
Parts Manufacturing
Other Motor Vehicle
Electrical and Electronic
Equipment Manufacturing
Motor Vehicle Steering and
Suspension Components
(except Spring)
Manufacturing
Motor Vehicle Brake System
Manufacturing
Motor Vehicle Transmission
and Power Train Parts
Manufacturing
All Other Motor Vehicle
Parts Manufacturing
NAICS Size Standards
(employees/ Smilhons)
750
750
1,000
500
1,000
1,000
1,000
750
750
500
500
1,000
750
750
750
750
750
750
D1A2-4
-------
§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 2 to Chapter Dl
Table D1A2-1: Small Business Thresholds Based on SIC Codes and NAICS
SIC «,„,„,„ ... SIC Size Standards
_ , SIC Code Description , , . „ .„. ,
Code l (employees/ Smilhons)
Aircraft Parts and
3728 Auxiliary Equipment, 1,000
N.E.C.
3861 Photographic Equipment 50Q
and Supplies
3999 Manufacturing 50Q
Industries, N.E.C.
NAICS
Code
332912
333995
333996
336413
325992
333315
314999
316110
321999
322299
323110
323111
323112
323113
323119
325998
326199
332212
332999
335121
337127
339999
Codes
,.T.T^_^ , _ ... NAICS Size Standards
NAICS Code Descnption , , ,„ .... .
(employees/ Smilhons)
Fluid Power Valve and Hose
Fitting Manufacturing
Fluid Power Cylinder and
Actuator Manufacturing
Fluid Power Pump and Motor
Manufacturing
Other Aircraft Part and
Auxiliary Equipment
Manufacturing
Photographic Film, Paper,
Plate and Chemical
Manufacturing
Photographic and
Photocopying Equipment
Manufacturing
All Other Miscellaneous
Textile Product Mills
Leather and Hide Tanning
and Finishing
All Other Miscellaneous
Wood Product Manufacturing
All Other Converted Paper
Product Manufacturing
Commercial Lithographic
Printing
Commercial Gravure Printing
Commercial Flexographic
Printing
Commercial Screen Printing
Other Commercial Printing
All Other Miscellaneous
Chemical Product and
Preparation Manufacturing
All Other Plastics Product
Manufacturing
Hand and Edge Tool
Manufacturing
All Other Miscellaneous
Fabricated Metal Product
Manufacturing
Residential Electric Lighting
Fixture Manufacturing
Institutional Furniture
Manufacturing
All Other Miscellaneous
Manufacturing
500
500
500
l,000b
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
D1A2-5
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 2 to Chapter Dl
Table D1A2-1: Small Business Thresholds Based on SIC Codes and NAICS Codes
SIC
Code
4911
4924
4925
4932
4953
5153
5171
6141
_,T_ ,-, , TV ... SIC Size Standards
SIC Code Description , , ,«,.„. ..
(employees/ Simmons)
Electric Services
4 million megawatt hrs.
Natural Gas Distribution 500
Mixed, Manufactured
, or
Liquefied Petroleum Gas ,., .
Production and/or
Distribution
Gas and Other Services ,., .
Combined
Refuse Systems
$10
Grain and Field Beans 100
Petroleum Bulk Stations . . _
and Terminals
Personal Credit
Institutions
$5
NAICS
Code
221111
221112
221113
221119
221121
221122
221210
221210
221210
562920
562211
562212
562213
562219
425120
424510
425110
424710
454311
454312
522120
522210
522220
522291
NAICS Code Description
Hydroelectric Power
Generation 1
Fossil Fuel Power
Generation 1
Nuclear Electric Power
Generation 1
Other Electric Power
Generation 1
Electric Bulk Power
Transmission and Control
Electric Power Distribution
Natural Gas Distribution
Natural Gas Distribution
Natural Gas Distribution
Materials Recovery Facilities
Hazardous Waste Treatment
and Disposal
Solid Waste Landfill
Solid Waste Combustors and
Incinerators
Other Nonhazardous Waste
Treatment and Disposal
Wholesale Trade Agents and
Brokers
Grain and Field Bean
Merchant Wholesalers
Business to Business
Electronic Markets
Petroleum Bulk Stations and
Terminals
Heating Oil Dealers
Liquefied Petroleum Gas
(Bottled Gas) Dealers
Savings Institutions
Credit Card Issuing
Sales Financing
Consumer Lending
NAICS Size Standards
(employees/ Smillions)
4 million megawatt hrs.c
4 million megawatt hrs.c
4 million megawatt hrs.c
4 million megawatt hrs.c
4 million megawatt hrs.c
4 million megawatt hrs.c
500
500
500
$10.50
$10.50
$10.50
$10.50
$10.50
100
100
100
100
$10.50
$6.00
$150 million in assets4
$150 million in assets*
$6.00
$6.00
D1A2-6
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 2 to Chapter Dl
Table D1A2-1: Small Business Thresholds Based on SIC Codes and NAICS Codes
SIC
Code
6211
6719
9111
SIC Code Description
Security Brokers,
Dealers and Flotation
Companies
Offices of Holding
Companies, N.E.C.
Executive Offices
SIC Size Standards
(employees/ Smillions)
$5
$5
50,000 Population
NAICS
Code
523110
523120
523910
523999
551112
921110
NAICS Code Description
Investment Banking and
Securities Dealing
Securities Brokerage
Miscellaneous Intermediation
Miscellaneous Financial
Investment Activities
Offices of Other Holding
Companies
Executive Offices
NAICS Size Standards
(employees/ Smillions)
$6.00
$6.00
$6.00
$6.00
$6.00
50,000 Population
Notes (from source SBA publications):
a For purposes of Government procurement, the petroleum refiner must be a concern that has no more than 1,500 employees nor
more than 125,000 barrels per calendar day total Operable Atmospheric Crude Oil Distillation capacity. Capacity includes owned
or leased facilities as well as facilities under a processing agreement or an arrangement such as an exchange agreement or a
throughput. The total product to be delivered under the contract must be at least 90 percent refined by the successful bidder from
either crude oil or bona fide feedstocks.
b Contracts for the rebuilding or overhaul of aircraft ground support equipment on a contract basis are classified under NAICS code
336413.
c A firm is small if, including its affiliates, it is primarily engaged in the generation, transmission, and/or distribution of electric
energy for sale and its total electric output for the preceding fiscal year did not exceed 4 million megawatt hours.
d A financial institution's assets are determined by averaging the assets reported on its four quarterly financial statements for the
preceding year. "Assets" for the purposes of this size standard means the assets defined according to the Federal Financial
Institutions Examination Council 034 call report form.
Source: U.S. SBA, 2000; U.S. SBA, 2002.
D1A2-2 DIFFERENCES IN NAICS-BASED AND SIC-BASED SIZE THRESHOLDS
As a second step, EPA identified all potential Phase III firms whose SIC code-based small business threshold
differs from the NAICS code-based one. There are two possible cases:
(1) the NAICS threshold is greater than the SIC threshold, which could lead to additional firms being
classified as small businesses, and
(2) the NAICS threshold is less than the SIC threshold, which could lead to fewer firms being classified
as small businesses.
For each such firm, EPA examined whether the firm's initial business size classification, based on the SIC code-
based criteria, would change under the NAICS code-based criteria.
Table D1A2-2 lists SIC codes for which the NAICS threshold exceeds the SIC threshold and therefore could
potentially lead to additional facilities being classified as small. The table shows that there are 13 potentially
affected firms, in 11 SIC codes, that fall into that category. Table D1A2-3 lists SIC codes for which the NAICS
threshold is less than the SIC threshold and therefore could potentially lead to fewer facilities being classified as
small. The table shows that there are 17 potentially affected firms, in six SIC codes, that fall into that category.
D1A2-7
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
Appendix 2 to Chapter Dl
Table D1A2-2: NAICS Thresholds Exceed SIC Thresholds
Additional Firms May Be Classified as Small
SIC Code
0133
1542
2075
2899
3714
4925
4932
4953
6141
6211
6719
SIC Code Threshold
$0.5 million
$27.5 million
500 Employees
500 Employees
750 Employees
$5.0 million
$5.0 million
$10.0 million
$5.0 million
$5.0 million
$5.0 million
Total
NAICS Code(s)
111991; 111930
236220
311225
325199
336211
221210
221210
562920; 562211;
562212; 562213;
562219
522220; 522291
522120; 522210
5231 10; 523120;
523910; 523999
551112
NAICS Code Threshold
$0.75 million
$28.5 million
1,000 Employees
1,000 Employees
1,000 Employees
500 Employees
500 Employees
$10.5 million
$6.0 million
$150 million in assets
$6.0 million
$6.0 million
Number of
Potentially Affected
Firms
1
1
1
1
1
1
2
2
1
1
1
13
Source: U.S. EPA Analysis, 2004.
Table D1A2-3: NAICS thresholds Are Less than SIC Thresholds
Fewer Firms May Be Classified as Small
SIC Code
2819
3312
3315
3353
3728
5171
SIC Code Threshold
1,000 Employees
1,000 Employees
1,000 Employees
750 Employees
1,000 Employees
100 Employees
Total
NAICS Code(s)
325998
324199
332618
332996
332912; 333995;
333996
454311
454312
NAICS Code Threshold
500 Employees
500 Employees
500 Employees
500 Employees
500 Employees
$10.5 million
$6.0 million
Number of
Potentially Affected
Firms
1
11
1
1
1
2
17
Source: U.S. EPA Analysis, 2004.
D1A2-8
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses Appendix 2 to Chapter Dl
D1A2-3 RESULTS
During the final step of this comparison, EPA analyzed firms for which the SIC code-based business size
threshold differs from the NAICS code-based threshold. For all but one firm, this analysis found that the SIC-
based and NAICS-based business size determinations were unambiguously the same: based on the firm's
employment, revenue, or electric output, no previously determined small business is large, and no previously
determined large businesses is small, under the NAICS-based threshold. However, for one firm, in SIC Code
3312, EPA's initial finding of potential change in business size classification was ambiguous because the SIC
Code in which the firm is classified, mapped to more than one NAICS code, and the NAICS code-based size
thresholds were not the same: for one of the corresponding NAICS codes (324199), the firm's business size
determination would change while for the other NAICS code (331111), the determination would not change (see
also Table D1A2-1). For this firm, EPA used information from the Dun and Bradstreet business database to
identify the firm's NAICS code as 331111, which has the same small business threshold of 1,000 employees as
SIC code 3312. Therefore, this analysis found no difference in small entity determinations, and therefore no
change in small entity impacts, as a result of using NAICS-based size standards instead of SIC-based size
standards, for the small business determination.
D1A2-9
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses Appendix 2 to Chapter Dl
REFERENCES
U.S. Census Bureau (Census). 2000. 1997 Economic Census: Bridge Between NAICS and SIC. June 2000.
Available at: http://www.census.gov/epcd/ec97brdg/ (Table 2).
U.S. Census Bureau (Census). 2003. 1997 NAICS Matched to 2002 NAICS. May 2003.
Available at: http://www.census.gov/epcd/naics02/NAICS97toNAICS02.xls.
U.S. Small Business Administration (U.S. SBA). 2000. Effective until September 30, 2000. Small Business Size
Standards. Available at: http://www.sba.gov/regulations/siccodes/.
U.S. Small Business Administration (U.S. SBA). 2002. Effective October 1, 2002. Small Business Size
Standards. Available at: http://www.sba.gov/size/indextableofsize.html.
D1A2-10
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
Chapter D2: UMRA Analysis
INTRODUCTION
Title II of the Unfunded Mandates Reform Act of
1995, Pub. L. 104-4, establishes requirements for
Federal agencies to assess the effects of their
regulatory actions on State, local, and Tribal
governments and the private sector. Under UMRA
section 202, EPA generally must prepare a written
statement, including a cost-benefit analysis, for
proposed and final rules with "Federal mandates"
that might result in expenditures by State, local, and
Tribal governments, in the aggregate, or by the
private sector, of $100 million or more in any one
year.
CHAPTER CONTENTS
D2-1 Analysis of Impacts on Government Entities . . D2-2
D2-1.1 Compliance Costs for Government-Owned
Facilities D2-2
D2-1.2 Administrative Costs for Existing
Facilities D2-3
D2-1.3 Administrative Costs for New Offshore
Oil and Gas Extraction Facilities D2-8
D2-1.4 Impacts on Small Governments D2-11
D2-2 Compliance Costs for the Private Sector D2-11
D2-3 Summary of UMRA Analysis D2-12
References D2-14
Appendix to Chapter D2 D2A-1
Before promulgating a regulation for which a written statement is needed, UMRA section 205 generally requires
EPA to identify and consider a reasonable number of regulatory alternatives and adopt the least costly, most
cost-effective, or least burdensome alternative that achieves the objectives of the rule. The provisions of section
205 do not apply when they are inconsistent with applicable law. Moreover, section 205 allows EPA to adopt an
alternative other than the least costly, most cost-effective, or least burdensome alternative if the Administrator
publishes with the rule an explanation why that alternative was not adopted. Before EPA establishes any
regulatory requirements that might significantly or uniquely affect small governments, including Tribal
governments, it must have developed under section 203 of the UMRA a small government agency plan. The plan
must provide for notifying potentially affected small governments, enabling officials of affected small
governments to have meaningful and timely input in the development of EPA regulatory proposals with
significant intergovernmental mandates, and informing, educating, and advising small governments on
compliance with regulatory requirements.
EPA is proposing three options that define which existing facilities would be subject to the national categorical
requirements under the proposed rule: the "50 MGD for All Waterbodies" option (the "50 MGD All"option); the
"200 MGD for All Waterbodies" option (the "200 MGD All" option); and the "100 MGD for Certain
Waterbodies" option (the "100 MGD CWB" option). These options all require the same reduction in
impingement and entrainment (I&E), and differ only by applicability criteria defined on the basis of design intake
flow (DIP) and waterbody type. As a result, the number of facilities that would be required to meet the national
categorical requirements varies among the three options. EPA is also proposing section 316(b) requirements for
new offshore oil and gas extraction facilities (also abbreviated as "new OOGE facilities") in Phase III. These
proposed requirements are based on a 2 MGD DIP applicability threshold and would apply to an estimated 124
new offshore oil and gas extraction facilities.
*• 50 MGD for All Waterbodies option for existing facilities and proposed option for new offshore oil and
gas extraction facilities: EPA estimates the total annualized after-tax costs of compliance for this option
to be $44.8 million (2003$). All of these direct facility costs are incurred by the private sector (including
136 manufacturing facilities and 124 new offshore oil and gas extraction facilities). No facility owned by
State and local governments would be subject to the national categorical requirements under this proposed
option. Additionally, State and local permitting authorities are estimated to incur $0.5 million annually to
administer this option, including labor costs to write permits and to conduct compliance monitoring and
enforcement activities. EPA estimates that the highest undiscounted after-tax cost incurred by the private
sector in any one year is approximately $280 million in 2011.
D2-1
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
*• 200 MGDforAll Waterbodies option for existing facilities and proposed option for new offshore oil
and gas extraction facilities: EPA estimates the total annualized after-tax costs of compliance for this
option to be $21.4 million (2003$). All of these direct facility costs are incurred by the private sector
(including 25 manufacturing facilities and 124 new offshore oil and gas extraction facilities). No facility
owned by State and local governments would be subject to the national categorical requirements under
this proposed option. Additionally, State and local permitting authorities are estimated to incur $0.1
million annually to administer this option, including labor costs to write permits and to conduct
compliance monitoring and enforcement activities. EPA estimates that the highest undiscounted after-tax
cost incurred by the private sector in any one year is approximately $91 million in 2010.
*• 100 MGDfor Certain Waterbodies option for existing facilities and proposed option for new offshore
oil and gas extraction facilities: EPA estimates the total annualized after-tax costs of compliance for this
option to be $17.4 million (2003$). All of these direct facility costs are incurred by the private sector
(including 19 manufacturing facilities and 124 new offshore oil and gas extraction facilities). No facility
owned by State and local governments would be subject to the national categorical requirements under
this proposed option. Additionally, State and local permitting authorities are estimated to incur $0.2
million annually to administer this option, including labor costs to write permits and to conduct
compliance monitoring and enforcement activities. EPA estimates that the highest undiscounted after-tax
cost incurred by the private sector in any one year is approximately $236 million in 2011.
Given these findings, EPA has determined that this rule contains a Federal mandate that may result in
expenditures of $100 million or more in any one year, for State, local, and Tribal governments, in the aggregate,
or the private sector. Accordingly, under §202 of the UMRA, EPA has prepared a written statement, presented in
the preamble to the proposed rule, that includes (1) a cost-benefit analysis; (2) an analysis of macroeconomic
effects; (3) a summary of State, local, and Tribal input; (4) a discussion related to the least burdensome option
requirement; and (5) an analysis of small government burden. This chapter contains additional information to
support that statement, including information on compliance and administrative costs, and on impacts on small
governments. In addition, the appendix to this chapter presents summary results for five other options evaluated
for existing facilities (Option 1, Option 2, Option 3, Option 4, and Option 6).
D2-1 ANALYSIS OF IMPACTS ON GOVERNMENT ENTITIES
Governments may incur two types of costs as a result of this proposed rule:
*• direct costs to comply with the rule for facilities owned by government entities, and
*• administrative costs to implement the rule.
Both types of costs are discussed on the following pages.
D2-1.1 Compliance Costs for Government-Owned Facilities
The Electric Generating Industry is the only industry segment potentially subject to Phase III regulation with
government-owned facilities. No facilities in the Manufacturers or new offshore oil and gas extraction facility
segment are owned by a government. EPA has determined that no government-owned facility has a DIP that
exceeds 50 MGD (the minimum applicability threshold of the proposed options). Therefore, no government-
owned facility would incur compliance costs under any of the proposed options.
D2-2
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
D2-1.2 Administrative Costs for Existing Facilities
The requirements of section 316(b) are implemented through the National Pollutant Discharge Elimination
System (NPDES) permit program. Forty-five States and one Territory currently have NPDES permitting
authority under section 402(c) of the Clean Water Act (CWA). EPA estimates that States and Territories would
incur three types of costs associated with implementing the requirements of the proposed rule: (1) start-up
activities, (2) permitting activities associated with the initial NPDES permit containing the new section 316(b)
requirements and subsequent permit renewals, and (3) annual activities.1 EPA estimates that the total costs for
these activities under the three proposed options would be between $0.1 million and $0.5 million, annualized over
30 years at a 7% discount rate. Table D2-1 presents the estimated annualized costs of the three major
administrative activities for each of the proposed options.
Table D2-1: Annualized Government Administrative Costs (in millions, 2003$)
Activity
Start-Up Activities
Permitting Activities
Annual Activities
Total
50 MGD All Option
$0.01
$0.39
$0.15
$0.55
200 MGD All Option
$0.01
$0.08
$0.03
$0.12
100 MGD CWB Option
$0.01
$0.11
$0.03
$0.15
Source: U.S. EPA Analysis, 2004.
Based on the specific permitting requirements of each facility (see Chapter Bl: Summary of Cost Categories and
Key Analysis Elements for Existing Facilities), EPA calculated total government costs of implementing the
proposed rule by adding the cost of start-up activities to the aggregate costs for each facility's first post-
promulgation permit, repermitting activities, and annual activities. The maximum one-year undiscounted
implementation cost incurred by governments under the three proposed options is approximately $2.0 million in
2011 (50 MGD All option). EPA notes that the annualized cost of administrative activities depends on when they
are incurred. If facilities reach compliance later than assumed in this analysis, permitting authorities'
administrative activities would also occur in later years. As a result, the annualized costs of the rule to permitting
authorities would be lower because administrative costs incurred in later years have lower present values.
a. Start-Up Activities
Forty-five States and one Territory with NPDES permitting authority are expected to undertake start-up activities
to prepare for administering the proposed rule. Start-up activities include reading and understanding the rule,
mobilization and planning of the resources required to address the rule's requirements, and training technical staff
on how to review materials submitted by facilities and make determinations on the proposed Phase III
requirements for each facility's NPDES permit. In addition, permitting authorities are expected to incur other
direct costs, e.g., for purchasing supplies and copying. Table D2-2 shows the total start-up costs EPA estimated
permitting authorities to incur. Each permitting authority is estimated to incur start-up costs of $4,000 as a result
of the proposed rule. EPA assumes that the initial start-up activities would be incurred by all permitting
authorities at the beginning of 2007, the year the Phase III requirements would take effect.
1 The costs associated with implementing Phase III requirements are documented in EPA's Information Collection Request (U.S.
EPA, 2003).
D2-3
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
Table D2-2: Government Costs of Start-Up Activities
(per Permitting Authority; 2003$)
Start-Up Activity
Read and Understand Rule
Mobilization/Planning
Training
Other Direct Costs
Total
Start-Up Costs
$977
$1,698
$1,219
$50
$3,944
Source: U.S. EPA, 2004.
b. Initial Post-Promulgation Permitting and Repermitting Activities
The permitting authorities would be required to implement the proposed Phase III requirements by adding
compliance requirements to each facility's NPDES permit. Permitting activities include incorporating section
316(b) requirements into the first post-promulgation permit and making modifications, if necessary, to each
subsequent permit. For this analysis, EPA assumed that each complying facility's first permit containing the new
section 316(b) requirements would be issued between 2010 and 2014.2 Repermitting activities would take place
every five years after initial permitting.
The proposed rule requires facilities to submit the same type of information for their initial post-promulgation
permit and for each permit renewal application. Therefore, the type of administrative activities required by the
initial post-promulgation and each subsequent permit are similar. EPA identified the following major activities
associated with State permitting activities: reviewing submitted documents and supporting materials, verifying
data sources, consulting with facilities and the interested public, determining specific permit requirements, and
issuing the permit. Table D2-3 presents the State permitting activities and associated costs, on a per permit basis.
The permitting costs do not vary by type of facility to be permitted (however, the costs associated with permitting
facilities with (a) a recirculating system or a wedgewire screen in the baseline or (b) a facility installing a new
wedgewire screen are less). The burden of repermitting is expected to be smaller than the burden of initial
permitting because the permitting authority is already familiar with the facility's case and the type of information
the facility would provide.
Two of the permitting activities presented within Table D2-3 pertain only to facilities opting for a site-specific
determination of best technology available (BTA). An authorized State is able to permit a facility to opt for a site-
specific determination if it can demonstrate that the proposed technology would result in environmental
performance within a watershed that is comparable to the reductions in impingement and entrainment mortality
that would otherwise be achieved under the proposed rule. EPA estimates that under the proposed rule, 50
facilities would apply for a site-specific determination.3
2 For an explanation of how the compliance years were assigned to facilities subject to Phase III regulation, see Chapter Bl.
3 EPA is not including this site-specific determination as a direct cost for complying facilities because this is an optional activity that
the facility would choose only in cases where the cost of the alternative technology plus the cost of the site-specific determination is less
than the cost of the technology otherwise required by the proposed rule. However, the site-specific determination costs for permitting
authorities are not optional, and thus are included in EPA's estimates of total cost.
D2-4
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
Table D2-3: Government Permitting Costs (per Permit; 2003$)
Activity
Review Source Water Physical Data
Review CWIS Data
Review CWS Operation Narrative
Review Proposal for Collection of Information for Comprehensive
Demonstration Study
Review Source Water Body Flow Information
Review Design and Construction Technology Plan
Review Impingement Mortality Monitoring Results
Review Entrainment Characterization Monitoring Results
Review Baseline Characterization Monitoring Results and Study Findings
Review Pilot Study for New Impingement & Entrainment Technology
Review Restoration Measures3
Review Technology Installation and Operation Plan & Verification
Monitoring Plan
Determine Monitoring Frequency
Determine Record Keeping and Reporting Frequency
Considering Public Comments
Issuing Permit
Permit Record Keeping
Other Direct Costs
Total Cost (without site specific determination)b
Review Information to Support Site-Specific Determination of BTA
Establish Requirements for Site-Specific Technology
Site-Specific Costs0
Total Cost (with site specific determination)b
First Post-Promulgation
Permit
$290
$871
$871
$1,302
$290
$1,443
$4,279
$4,279
$12,678
$1,302
$2,299
$1,047
$290
$290
$1,302
$265
$130
$310
$33,541
$45,980
$1,162
$47,142
$80,683
Repermitting
$113
$259
$259
$407
$113
$410
$1,284
$1,284
$3,819
$407
$690
$311
$113
$113
$407
$64
$24
$310
$10,387
$13,794
$322
$14,116
$24,503
Assumed to apply to only 10% of facilities. Only 10% of the per permit costs of $22,990 and $6,897 is accounted for in this
framework.
b Individual numbers may not add up to total due to independent rounding.
c Cost incurred only for permits of facilities conducting site-specific demonstrations.
Source: U.S. EPA, 2004.
As shown in Table D2-3, initial post-promulgation permits that do not require a site-specific determination of
BTA are expected to impose an average per permit cost of $34,000 on the issuing permitting authority. For initial
post-promulgation permits that include a site-specific determination, the State administrative costs associated with
the site-specific determination are estimated to increase by $47,000, resulting in total per permit costs of
approximately $81,000.
D2-5
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
The State administrative cost for a permit renewal that does not include a site-specific determination is $10,000.
For facilities that conduct a site-specific determination, the cost per permit imposed on the permitting authority
increases by $14,000, resulting in an average repermitting cost of almost $25,000.
Permitting authorities also incur costs associated with review of verification studies conducted at facilities. In
addition to reviewing the studies, permitting authorities must modify permits in case of unfavorable study results.
In total, verification study review is expected to cost permitting authorities $800 per permit. Table D2-4 lists the
components of verification study review.
Table D2-4: Government Costs of Verification Study Review
(per Permit; 2003$)
Activity
Review of Verification Studies
Permit Modification Due to Unfavorable Results
Recordkeeping
Other Direct Costs
Total
Post-Promulgation Permit Costs
$227
$517
$24
$10
$778
Source: U.S. EPA, 2004.
Finally, State governments may incur costs associated with alternative regulatory requirements. States may adopt
in their NPDES programs, alternative regulatory requirements to reduce impingement mortality and entrainment
within a watershed. If these States demonstrate to the Administrator that the reductions are comparable to what
would otherwise be achieved under rule, the Administrator would approve these alternative regulatory
requirements. For the final Phase II rule, EPA estimated that 10 regulatory permitting authorities would incur
costs associated with alternative regulatory requirements. For this analysis, EPA assumed that those States
interested in adopting alternative regulatory requirements would have done so under the Phase II rule. As a result,
EPA assumes that these States would incur no additional costs for establishing alternative regulatory requirements
under this proposed rule. Table D2-5 reports the cost of each component of establishing alternative regulatory
requirements.
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
Table D2-5: Government Costs of Alternative Regulatory Requirements
(per Permitting Authority; 2003$)
Activity
Document Alternative Regulatory Requirements
Document Environmental Conditions within Watershed
Include Supporting Historical Studies, Calculations, and Analyses
Submit Documentation
Recordkeeping
Other Direct Costs
Total3
Post-Promulgation Permit Costs
$1,360
$1,813
$3,542
$97
$138
$100
$7,049
a Individual numbers may not add up to total due to independent rounding.
Source: U.S. EPA, 2004.
c. Annual activities
In addition to the start-up and permitting activities discussed above, permitting authorities would have to perform
certain annual activities to ensure the continued implementation of the requirements of the proposed rule. These
annual activities include reviewing biannual status reports, tracking compliance, making determinations on
monitoring frequency reduction, and record keeping.
Table D2-6 outlines the annual activities necessary for each permit, along with their estimated costs. These costs
begin with the issuance of the first permit following promulgation of the rule. A total cost of approximately
$1,500 is estimated for each permit per year.
Table D2-6: Government Costs for Annual Activities
(per Permit; 2003$)
Annual Activity
Review of Biannual Status Report3
Compliance Tracking
Determination of Monitoring Frequency Reduction
Record Keeping
Other Direct Costs
Total"
Annual Costs
$340
$581
$453
$138
$30
$1,541
a This is a cost that is incurred once every two years. Therefore, only half of the total review cost of
is accounted for in this annual framework.
b Individual numbers may not sum to total due to independent rounding.
Source: U.S. EPA, 2004.
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
The Federal government is likely to incur costs for reviewing and validating proper implementation of the section
316(b) elements of States' NPDES permits that are issued after promulgation of the rule. Table D2-7 outlines the
annual activities associated with reviewing a permit issued after promulgation of the rule, along with the
estimated cost of each activity. EPA estimates a cost of approximately $2,300 per permit for post-promulgation
review. Costs incurred by the Federal government are not part of the UMRA analysis but are part of the social
cost analysis presented in Chapter El of this EA.
Table D2-7: Federal Government Permit Program Oversight Activities (per Permit; 2003$)
Annual Activity
Review Source Water Physical Data
Review CWIS Data
Review CWS Operation Narrative
Review Proposal for Collection of Information for Comprehensive Demonstration Study
Review Source Water Body Flow Information
Review Design and Construction Technology Plan
Review Impingement Mortality Study and/or Entrainment Characterization Study
Review Pilot Study for New Impingement & Entrainment Technology
Review Restoration Measures3
Review Technology Installation and Operation Plan & Verification Monitoring Plan
Review the Monitoring Frequency
Permit Record Keeping
Other Direct Costs
Total Cost (without site specific determination)1"
Review Information to Support Site-Specific Determination of BTA
Review the Established Requirements for Site-Specific Technology
Site-Specific Costs0
Total Cost (with site specific determination)1"
Post-Promulgation Permit Costs
$145
$113
$113
$113
$113
$145
$340
$113
$34
$145
$113
$130
$50
$1,699
$680
$145
$825
$2,494
a Assumed to apply to only 10% of facilities. Only 10% of the per permit cost of $340 is accounted for in this framework.
b Applies only to certain facilities, according to site specific determination of BTA Compliance Schedule.
c Individual numbers may not add up to total due to independent rounding.
Source: U.S. EPA, 2004.
D2-1.3 Administrative Costs for New Offshore Oil and Gas Extraction Facilities
For new facilities in the offshore oil and gas extraction industry, NPDES permitting is consolidated under General
Permits, which are administered by EPA Regional offices. No States are involved in these permitting activities.
Thus, unlike for existing facilities, States would incur no costs for new facility permitting. Three EPA Regions
(Region 6, Region 4, and Region 10) are expected to be the only entities responsible for permitting. Because
States are not involved in the section 316(b) permitting for new offshore oil and gas extraction facilities, the
Federal government would incur no costs for State oversight, which again differs from the existing facilities case.
The affected EPA Regions would incur three types of costs for implementing the proposed rule: (1) start-up
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
activities, (2) activities associated with the initial General Permit containing the new section 316(b) requirements
and subsequent permit renewals, and (3) annual activities. These activities and their timing assumptions are
discussed below. The timing of these costs and how they are discounted and annualized are documented in the
Oil and Gas 316(b) Compliance Cost Model (see DCN 7-4018). For more information on the methods used for
discounting and cost annualization, see Chapter Cl: Summary of Cost Categories and Key Analysis Elements for
New Offshore Oil and Gas Extraction Facilities.
It should be noted that costs incurred by the Federal government are not part of the UMRA analysis, but are part
of the social cost analysis presented in Chapter El: Summary of Social Costs and Chapter C3: Economic Impact
Analysis for the Offshore Oil and Gas Extraction Industry of this EA.
a. Start-Up Activities
Start-up activities are not considered incremental to existing Regional permitting activities (U.S. EPA, 2004).
b. Initial Post-Promulgation Permitting and Repermitting Activities
Initial permitting and repermitting activities relate to the review of data collected for the regional studies and the
individual data submitted by facilities that plan to be permitted (or re-permitted) under the General Permits in the
three EPA Regions. Tables D2-8 and D2-9 present the individual activities and their costs for Regions 4, 6, and
10. These costs are on a per facility basis, i.e., the regions incur these costs for each facility that is permitted
under their general permits (see DCN 7-4018, which illustrates how these costs are aggregated and assigned to the
regions).
Table D2-8 presents the permit issuance activities and their related costs. The per facility initial permitting cost of
approximately $12,000 would be incurred in 2012 for facilities brought on-line or launched between 2007 and
2012 (Region 6) and in 2014 for facilities brought on-line or launched between 2007 and 2014 (Region 4 and 10).
In later years, these costs are assumed to be incurred in the year of compliance of each new facility. The burden
of repermitting is expected to be smaller than the burden of initial permitting, approximately $3,200 per facility,
because the permitting authority is already familiar with the facility's case and the type of information the facility
would provide. Repermitting costs are incurred in 5-year intervals after the initial post-promulgation permit.
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
Table D2-8: Federal Government Costs for Permit Issuance Activities
(Per Facility Permitted under General Permits; 2003$)
Activity
Review Source Water Physical Data
Review CWIS Data
Review Source Water Body Flow Information
Review CWIS Velocity Information
Review Design and Construction Technology Plan
Review Regional Monitoring Study Design and Sampling Plans
Review Regional Monitoring Study
Review Source Water Baseline Biological Characterization Study
Determine Monitoring Frequency
Determine Record Keeping and Reporting Frequency
Consider Public Comments
Issue Permit
Permit Record Keeping
ODCs Lump Sum
Total3
First Post-
Promulgation Permit
$290
$871
$290
$1,302
$1,443
$1,443
$2,778
$1,302
$290
$290
$1,302
$265
$130
$310
$12,309
Repermitting
$113
$259
$113
$407
$410
n/a
n/a
$849
$113
$113
$407
$64
$24
$310
$3,183
a Individual numbers may not add up to total due to independent rounding.
Source: U.S. EPA, 2004.
c. Annual activities
Annual costs are associated with the activities that must be undertaken by the regions each year for each active
facility operating under the applicable General Permit. These activities also include a one-time cost for
determining monitoring frequency reduction. This cost is assigned only to facilities operating at the time the
decision about monitoring frequency reduction is made (assumed to occur at the end of the initial two years of
monitoring, which is 2013 for the Region 6 permit and 2015 for the Region 4 and Region 10 permits). Table D2-
9 outlines these activities and their associated costs.
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
Table D2-9: Federal Government Costs for Annual Activities
(Per Facility Permitted under General Permits; 2003$)
Activity
Review of Yearly Status Report
Compliance Tracking
Determination on Monitoring Frequency Reduction3
Record Keeping
ODCs Lump Sum
Total"
Annual Costs
$680
$581
$0
$138
$30
$1,428
a One-time cost of $453 incurred only by those facilities operating in 2013 (Region 6) or
2014 (Regions 4 and 10).
b Individual numbers may not sum to total due to independent rounding.
Source: U.S. EPA, 2004.
D2-1.4 Impacts on Small Governments
EPA's analysis also considered whether the proposed rule may significantly or uniquely affect small governments
(i.e., governments with a population of less than 50,000). As described earlier, the Electric Generating Industry is
the only industry segment with government-owned facilities; governments own no facilities in either the
Manufacturers or new offshore oil and gas extraction facility segments. No government-owned facility exceeds
the 50 MGD DIP applicability threshold (the smallest DIP applicability threshold of the three proposed options).
Therefore, no government-owned facility would incur compliance costs under any of the three proposed options.
As no facilities owned by small governments are subject to national requirements under the proposed options,
EPA has determined that the three proposed options would contain no regulatory requirements that might
significantly or uniquely affect small governments.
D2-2 COMPLIANCE COSTS FOR THE PRIVATE SECTOR
The only compliance costs incurred by the private sector result from facilities complying with the proposed
options. These options all require the same reduction in impingement and entrainment (I&E), and differ only by
applicability threshold, which is based on the facilities' design intake flow and waterbody type. These direct
facility costs already include the cost to facilities of obtaining their NPDES permits. The methodology for
determining compliance costs for Phase III existing facilities is presented in Chapter Bl: Summary of Cost
Categories and Key Analysis Elements for Existing Facilities of this EA; the methodology for Phase III new
offshore oil and gas extraction facilities is presented in Chapter C1: Summary of Cost Categories and Key
Analysis Elements for New Offshore Oil and Gas Extraction Facilities. EPA identified all facilities subject to
national categorical requirements under the three proposed options to be owned by a private entity.
Private sector costs for the proposed option for Phase III new facilities and for the three proposed options for
Phase III existing facilities are as follows (discounted at a 7% rate):
*• Under the 50 MGD for All Waterbodies option for existing facilities and the proposed option for new
offshore oil and gas extraction facilities, 260 facilities are estimated to incur annualized compliance
costs of $44.8 million and a maximum one year cost of $280.3 million in 2011.
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
*• Under the 200 MGDfor All Waterbodies option for existing facilities and the proposed option for new
offshore oil and gas extraction facilities, 149 privately-owned facilities are estimated to incur annualized
compliance costs of $21.4 million and a maximum one year cost, in 2010, of $90.8 million.
*• Under the 100 MGDfor Certain Waterbodies option for existing facilities and the proposed option for
new offshore oil and gas extraction facilities, 143 privately-owned facilities are estimated to incur
annualized compliance costs of $17.4 million and a maximum one year cost, in 2011, of $235.6 million.
D2-3 SUMMARY OF UMRA ANALYSIS
EPA estimates that the proposed rule would result in expenditures of $ 100 million or greater for State and local
governments, in the aggregate, or for the private sector in any one year. Table D2-10 summarizes the after-tax
compliance costs for facilities, and the costs to implement the rule for permitting authorities, under the proposed
options.
Table D2-10: Summary of UMRA Costs (in millions, 2003$)
Sector
Total Annualized Cost
Facility Government
Compliance Implementation Total
Costs Costs
Maximum One- Year Cost
Facility
Compliance
Costs
Government
Implementation
Costs
Total
50 MGDfor All Waterbodies Option for Existing Facilities /Proposed Option for New OOGE Facilities
Government Sector
(excl. Federal)
Private Sector
$0.0
$44.8
200 MGDfor All Waterbodies
Government Sector
(excl. Federal)
Private Sector
$0.0
$21.4
$0.5
n/a
$0.5
$44.8
$0.0
$280.3
$2.0
n/a
$2.0
$280.3
Option for Existing Facilities /Proposed Option for New OOGE Facilities
$0.1
n/a
$0.1
$21.4
$0.0
$90.8
100 MGDfor Certain Waterbodies Option for Existing Facilities /Proposed Option for New
Government Sector
(excl. Federal)
Private Sector
$0.0
$17.4
$0.2
n/a
$0.2
$17.4
$0.0
$235.6
$0.4
n/a
OOGE Facilities
$0.8
n/a
$0.4
$90.8
$0.8
$235.6
Source: U.S. EPA Analysis, 2004.
Costs for new offshore oil and gas extraction facilities and the three proposed options for Phase III existing
facilities are as follows:
*• The 50 MGDfor All Waterbodies option for existing facilities and the proposed option for new offshore
oil and gas extraction facilities would impose annual costs of $0.5 million on State and local
governments (in implementation costs only), and $44.8 million on the private sector. Maximum one year
costs under this option are estimated to be approximately $2.0 million for government entities, and $280.3
million for the private sector. Both of these maximum annual cost values are estimated to occur in 2011.
*• The 200 MGDfor All Waterbodies option for existing facilities and the proposed option for new
offshore oil and gas extraction facilities would impose annual costs of $0.1 million on State and local
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
governments (in implementation costs only), and $21.4 million on the private sector. Maximum one year
costs under this option are approximately $0.4 million for government entities in 2011, and $90.8 million
for the private sector in 2010.
*• The 100 MGDfor Certain Waterbodies option for existing facilities and the proposed option for new
offshore oil and gas extraction facilities would impose annual costs of $0.2 million on State and local
governments (in implementation costs only), and $17.4 million on the private sector. Maximum one year
costs under this option are approximately $0.8 million for government entities and $235.6 million for the
private sector, both of which are estimated to occur in 2011.
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities D2: UMRA Analysis
REFERENCES
U.S. Environmental Protection Agency (U.S. EPA). 2004. Information Collection Request (ICR)for Cooling
Water Intake Structures Phase III Proposed Rule. ICR Number 2169.01. October 2004.
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Appendix to Chapter D2
Appendix to Chapter D2
This appendix presents the results of the UMRA analysis for the other five options considered for Phase III
existing facilities, combined with the proposed option for new offshore oil and gas extraction facilities. For all
options, results only include those Phase III existing facilities that are (1) non-baseline closures and (2) subject to
national categorical requirements under the option. See the main body of this chapter for a description of data
sources and methodologies used in these analyses.
In Table D2A-1 below, the other evaluated options for Phase III existing facilities, combined with the proposed
option for new offshore oil and gas extraction facilities, are presented in order of increasing stringency and/or
applicability (e.g., the largest number of facilities would be subject to the national requirements under Option 6,
compared to any of the other evaluated options).
Table D2A-1: Summary of UMRA Costs for Other Evaluated Options (in millions, 2003$)
Sector
Total Annualized Cost
Facility Government
Compliance Implementation Total
Costs Costs
Maximum One- Year Cost
Facility
Compliance
Costs
Government
Implementation
Costs
Total
Option 3 for Existing Facilities /Proposed Option for New OOGE Facilities
Government Sector
(excl. Federal)
Private Sector
$1.0 $0.9
$61.9 n/a
$1.9
$61.9
$1.8 $4.5
$712.2 n/a
$6.3
$712.2
Option 4 for Existing Facilities /Proposed Option for New OOGE Facilities
Government Sector
(excl. Federal)
Private Sector
$0.8 $0.8
$66.0 n/a
$1.6
$66.0
$1.7 $4.6
$722.9 n/a
$6.4
$722.9
Option 2 for Existing Facilities /Proposed Option for New OOGE Facilities
Government Sector
(excl. Federal)
Private Sector
$1.4 $1.0
$70.5 n/a
$2.4
$70.5
$2.4 $5.6
$730.7 n/a
$7.9
$730.7
Option Ifor Existing Facilities /Proposed Option for New OOGE Facilities
Government Sector
(excl. Federal)
Private Sector
$1.5 $1.1
$72.3 n/a
$2.6
$72.3
$2.4 $5.6
$737.2 n/a
$8.1
$737.2
Option 6 for Existing Facilities /Proposed Option for New OOGE Facilities
Government Sector
(excl. Federal)
Private Sector
$1.8 $1.7
$91.7 n/a
$3.5
$91.7
$2.8 $7.6
$922.3 n/a
$10.5
$922.3
Source: U.S. EPA Analysis, 2004.
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§ 316(b) Proposed Rule: Phase III - EA, Part D: Additional Economic Analyses for Existing and New Facilities Appendix to Chapter D2
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses
D3: Other Administrative Requirements
Chapter D3: Other Administrative
Requirements
INTRODUCTION
This chapter presents several other analyses
conducted in developing this proposed rule.
These analyses address the requirements of
Executive Orders and Acts applicable to Phase
III regulation.
D3-1 EXECUTIVE ORDER 12866:
REGULATORY PLANNING AND
REVIEW
Under Executive Order 12866 (58 FR 51735,
October 4, 1993), the Agency must determine
whether the regulatory action is "significant" and
therefore subject to OMB review and the
requirements of the Executive Order. The order
defines a "significant regulatory action" as one
that is likely to result in a rule that may:
D3-2
D3-3
D3-4
D3-5
CHAPTER CONTENTS
D3-1 E.G. 12866: Regulatory Planning and Review D3-1
Paperwork Reduction Act of 1995 D3-1
E.G. 13132: Federalism D3-2
E.G. 13175: Consultation and Coordination with
Indian Tribal Governments D3-4
E.G. 13045: Protection of Children from Environmental
Health Risks and Safety Risks D3-4
D3-6 E.G. 13211: Actions Concerning Regulations That
Significantly Affect Energy Supply, Distribution,
or Use D3-5
D3-6.1 Existing Electric Generators D3-6
D3-6.2 New Offshore Oil and Gas Extraction
Facilities D3-7
D3-7 National Technology Transfer and Advancement
Act of 1995 D3-7
D3-8 E.G. 12898: Federal Actions to Address Environmental
Justice in Minority Populations and Low-Income
Populations D3-7
D3-9 E.G. 13158: Marine Protected Areas D3-8
References D3-9
*• have an annual effect on the economy of $ 100 million or more or adversely affect in a material way the
economy, a sector of the economy, productivity, competition, jobs, the environment, public health or
safety, or State, local, or Tribal governments or communities; or
»• create a serious inconsistency or otherwise interfere with an action taken or planned by another agency; or
»• materially alter the budgetary impact of entitlements, grants, user fees, or loan programs or the rights and
obligations of recipients thereof; or
*• raise novel legal or policy issues arising out of legal mandates, the President's priorities, or the principles
set forth in the Executive Order.
Pursuant to the terms of Executive Order 12866, EPA determined that this proposed rule is a "significant
regulatory action." As such, this action was submitted to OMB for review. Changes made in response to OMB
suggestions or recommendations are documented in the public record.
D3-2 PAPERWORK REDUCTION ACTOF1995
The Paperwork Reduction Act of 1995 (PRA) (superseding the PRA of 1980) is implemented by the Office of
Management and Budget (OMB) and requires that agencies submit a supporting statement to OMB for any
information collection that solicits the same data from more than nine parties. The PRA seeks to ensure that
Federal agencies balance their need to collect information with the paperwork burden imposed on the public by
the collection.
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses D3: Other Administrative Requirements
The definition of "information collection" includes activities required by regulations, such as permit development,
monitoring, record keeping, and reporting. The term "burden" refers to the "time, effort, or financial resources"
the public expends to provide information to or for a Federal agency, or to otherwise fulfill statutory or regulatory
requirements. PRA paperwork burden is measured in terms of annual time and financial resources the public
devotes to meet one-time and recurring information requests (44 U.S.C. 3502(2); 5 C.F.R. 1320.3(b)).
Information collection activities may include:
*• reviewing instructions;
*• using technology to collect, process, and disclose information;
*• adjusting existing practices to comply with requirements;
*• searching data sources;
*• completing and reviewing the response; and
*• transmitting or disclosing information.
Agencies must provide information to OMB on the parties affected, the annual reporting burden, the annualized
cost of responding to the information collection, and whether the request significantly impacts a substantial
number of small entities. An agency may not conduct or sponsor, and a person is not required to respond to, an
information collection unless it displays a currently valid OMB control number.
EPA's estimate of the information collection requirements imposed by the proposed Phase III regulation are
documented in the Information Collection Request (ICR) which accompanies this regulation (U.S. EPA, 2004).
D3-3 EXECUTIVE ORDER 13132: FEDERALISM
Executive Order 13132 (64 FR 43255, August 10, 1999) requires EPA to develop an accountable process to
ensure "meaningful and timely input by State and local officials in the development of regulatory policies that
have federalism implications." Policies that have federalism implications are defined in the Executive Order to
include regulations that have "substantial direct effects on the States, on the relationship between the national
government and the States, or on the distribution of power and responsibilities among the various levels of
government."
Under section 6 of Executive Order 13132, EPA may not issue a regulation that has federalism implications, that
imposes substantial direct compliance costs, and that is not required by statute unless the Federal government
provides the funds necessary to pay the direct compliance costs incurred by State and local governments or unless
EPA consults with State and local officials early in the process of developing the regulation. EPA also may not
issue a regulation that has federalism implications and that preempts State law, unless the Agency consults with
State and local officials early in the process of developing the regulation.
This proposed rule does not have federalism implications. It would not have substantial direct effects on the
States, on the relationship between the national government and the States, or on the distribution of power and
responsibilities among the various levels of government, as specified in Executive Order 13132. Rather, this
proposed rule would result in minimal administrative costs on States that have an authorized NPDES program.
EPA expects the following annual burden for States to collectively administer one of the three proposed options:
* 50 MOD for All Waterbodies option: 16,972 hours with a cost of $754,804 ($747,981 in labor costs and
$6,823 in non-labor costs);
> 200 MOD for All Waterbodies option: 4,677 hours with a cost of $201,092 ($198,932 in labor costs and
$2,160 in non-labor costs);
> 100 MOD for Certain Waterbodies option: 6,528 hours with a cost of $286,597 ($284,624 in labor costs
and $1,973 in non-labor costs).
It is noted that States do not incur any burden hours and costs to administer the proposed rule for the new offshore
oil and gas extraction facilities because the EPA Regions administer their permits; these facilities are therefore
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses D3: Other Administrative Requirements
outside the jurisdiction of the States. In addition, EPA has identified zero Phase III existing facilities that are
owned by Federal, State or local government entities therefore the annual impacts on these facilities is zero.
The proposed national cooling water intake structure requirements would be implemented through permits issued
under the NPDES program. Forty-five States and one territory are currently authorized pursuant to section 402(b)
of the CWA to implement the NPDES program. In States not authorized to implement the NPDES program, EPA
issues NPDES permits. Under the CWA, States are not required to become authorized to administer the NPDES
program. Rather, such authorization is available to States if they operate their programs in a manner consistent
with section 402(b) and applicable regulations. Generally, these provisions require that State NPDES programs
include requirements that are as stringent as Federal program requirements. States retain the ability to implement
requirements that are broader in scope or more stringent than Federal requirements. (See section 510 of the
CWA.)
EPA does not expect this proposed rule to have substantial direct effects on either authorized or nonauthorized
States or on local governments because it would not change how EPA and the States and local governments
interact or their respective authority or responsibilities for implementing the NPDES program. This rule
establishes national requirements for Phase III facilities with cooling water intake structures. NPDES-authorized
States that currently do not comply with the proposed regulations based on this rule might need to amend their
regulations or statutes to ensure that their NPDES programs are consistent with Federal section 316(b)
requirements. (See 40 CFR 123.62(e).) For purposes of this rule, the relationship and distribution of power and
responsibilities between the Federal government and the State and local governments are established under the
CWA (e.g., sections 402(b) and 510); nothing in this rule alters that. Thus, the requirements of section 6 of the
Executive Order do not apply to this rule.
Although section 6 of Executive Order 13132 does not apply to this rule, EPA did consult with State governments
and representatives of local governments in developing definitions and concepts relevant to the section 316(b)
rulemaking and this proposed rule:
*• During the development of the proposed section 316(b) rule for new facilities (Phase I), EPA conducted
several outreach activities through which State and local officials were informed about the section 316(b)
rulemaking effort. These officials then provided information and comments to the Agency. The outreach
activities were intended to provide EPA with feedback on issues such as adverse environmental impact,
BTA, and the potential cost associated with various regulatory alternatives.
*• EPA has made presentations on the section 316(b) rulemaking effort in general at eleven professional and
industry association meetings. EPA also conducted two public meetings in June and September of 1998
to discuss issues related to the section 316(b) rulemaking effort. In September 1998 and April 1999, EPA
staff participated in technical workshops sponsored by the Electric Power Research Institute on issues
relating to the definition and assessment of adverse environmental impact. EPA staff have worked with
numerous States such as New York, New Jersey, California, Rhode Island, and Massachusetts and regions
such as Region 1 and Region 9. EPA further organized a meeting of technical experts (May 23, 2001)
and a Symposium on Technologies for Protecting Aquatic Organisms from Cooling Water Intake
Structures (BTA symposium, May 6-7, 2003).
*• EPA met with the Association of State and Interstate Water Pollution Control Administrators
(ASIWPCA) and, with the assistance of ASIWPCA, conducted a conference call in which representatives
from 17 States or interstate organizations participated.
*• EPA met with OMB and utility representatives and other Federal agencies (the Department of Energy, the
Small Business Administration, the Tennessee Valley Authority, the National Oceanic and Atmospheric
Administration's National Marine Fisheries Service and the Department of Interior's U.S. Fish and
Wildlife Service).
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses D3: Other Administrative Requirements
*• EPA received more than 130 comments on the Phase I proposed rule and Notice of Data Availability
(NODA). State and local government representatives from the following States submitted comments:
Alaska, California, Florida, Louisiana, Maryland, Michigan, Nebraska, New Hampshire, New Jersey,
New York, North Carolina, North Dakota, Ohio, Pennsylvania, and Texas. In addition, EPA received
more than 170 comments on the Phase II proposed rule and NODA, including comments from State and
local government representatives from Arkansas, Alabama, Indiana, Tennessee, and Rhode Island. In
some cases these comments have informed the development of the Phase III rulemaking effort.
*• On May 23, 2001, EPA held a day-long forum to discuss specific issues associated with the development
of regulations under section 316(b). At the meeting, 17 experts from industry, public interest groups,
States, and academia reviewed and discussed the Agency's preliminary data on cooling water intake
structure technologies that are in place at existing facilities and the costs associated with the use of
available technologies for reducing impingement and entrainment. Over 120 people attended the
meeting.
In the spirit of this Executive Order and consistent with EPA policy to promote communications between EPA
and State and local governments, the preamble to this proposed rule specifically solicits comment from State and
local officials.
D3-4 EXECUTIVE ORDER 13175: CONSULTATION AND COORDINATION WITH INDIAN TRIBAL
GOVERNMENTS
Executive Order 13175 (65 FR 67249, November 6, 2000) requires EPA to develop an accountable process to
ensure "meaningful and timely input by tribal officials in the development of regulatory policies that have tribal
implications." "Policies that have tribal implications" is defined in the Executive Order to include regulations that
have "substantial direct effects on one or more Indian Tribes, on the relationship between the Federal government
and the Indian Tribes, or on the distribution of power and responsibilities between the Federal government and
Indian Tribes." This proposed rule does not have tribal implications. It would not have substantial direct effects
on tribal governments, on the relationship between the Federal government and Indian Tribes, or on the
distribution of power and responsibilities between the Federal government and Indian Tribes, as specified in
Executive Order 13175. EPA's analyses show that no facility subject to Phase III regulation is owned by tribal
governments. This proposed rule does not affect Tribes in any way in the foreseeable future. Accordingly, the
requirements of Executive Order 13175 do not apply to this rule.
D3-5 EXECUTIVE ORDER 13045: PROTECTION OF CHILDREN FROM ENVIRONMENTAL
HEALTH RISKS AND SAFETY RISKS
Executive Order 13045 (62 FR 19885, April 23, 1997) applies to any rule that (1) is determined to be
"economically significant" as defined under Executive Order 12866 and (2) concerns an environmental health or
safety risk that EPA has reason to believe might have a disproportionate effect on children. If the regulatory
action meets both criteria, the Agency must evaluate the environmental health and safety effects of the planned
rule on children and explain why the planned regulation is preferable to other potentially effective and reasonably
feasible alternatives considered by the Agency. This proposed rule is a significant rule as defined under
Executive Order 12866. However, it does not concern an environmental health or safety risk that would have a
disproportionate effect on children. Therefore, it is not subject to Executive Order 13045.
D3-6 EXECUTIVE ORDER 13211: ACTIONS CONCERNING REGULATIONS THAT
SIGNIFICANTLY AFFECT ENERGY SUPPLY, DISTRIBUTION, OR USE
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses D3: Other Administrative Requirements
Executive Order 13211, ("Actions Concerning Regulations That Significantly Affect Energy Supply, Distribution,
or Use" (66 FR 28355, May 22, 2001)) requires EPA to prepare a Statement of Energy Effects when undertaking
regulatory actions identified as "significant energy actions." For the purposes of Executive Order 13211,
"significant energy action" means:
"any action by an agency (normally published in the Federal Register) that promulgates or
is expected to lead to the promulgation of a proposed rule or regulation, including notices of
inquiry, advance notices of proposed rulemaking, and notices of proposed rulemaking:
(1) (i) that is a significant regulatory action under Executive Order 12866 or any
successor order, and
(ii) is likely to have a significant adverse effect on the supply, distribution, or use of
energy; or
(2) that is designated by the Administrator of the Office of Information and Regulatory
Affairs (OIRA) as a significant energy action."
For those regulatory actions identified as "significant energy actions," a Statement of Energy Effects must include
a detailed statement relating to (1) any adverse effects on energy supply, distribution, or use (including a shortfall
in supply, price increases, and increased use of foreign supplies) and (2) reasonable alternatives to the action with
adverse energy effects and the expected effects of such alternatives on energy supply, distribution, and use.
This rule is not a "significant energy action" as defined in Executive Order 13211 because it is not likely to have a
significant adverse effect on the supply, distribution, or use of energy. The proposed rule does not contain any
compliance requirements that would:
*• reduce crude oil supply in excess of 10,000 barrels per day;
*• reduce fuel production in excess of 4,000 barrels per day;
*• reduce coal production in excess of 5 million tons per day;
*• reduce electricity production in excess of 1 billion kilowatt hours per day or in excess of 500 megawatts
of installed capacity;
*• increase energy prices in excess of 10 percent;
*• increase the cost of energy distribution in excess of 10 percent;
*• significantly increase dependence on foreign supplies of energy; or
*• have other similar adverse outcomes, particularly unintended ones.
Of the potential significant adverse effects on the supply, distribution, or use of energy (listed above) only a few
apply to this proposed rule. Regulation of Electric Generators, through increases in the cost of generating
electricity and shifts in the types of generators employed, might affect (1) the production of coal, (2) the
production of electricity, (3) the amount of installed capacity, (4) energy prices, and (5) the dependence on
foreign supplies of energy. Regulation of new offshore oil and gas facilities might affect (1) the production of oil
and gas, (2) energy prices, and (3) the dependence on foreign supplies of energy. While facilities in the
Manufacturing industry segments generate electricity, their contribution to the overall supply of electricity is
insignificant (less than 0.02%); therefore, compliance with the 316(b) Phase III regulation by this industry
segment would not perceptibly affect the supply, distribution, or use of energy.
Potential energy effects associated with the regulation of existing Electric Generators and new offshore oil and
gas extraction facilities are described in the following two subsections.
D3-6.1 Existing Electric Generators
The three proposed options for Electric Generators have design intake flow (DIP) applicability thresholds for
national categorical requirements of 50 MGD or greater, 100 MGD or greater, and 200 MGD or greater. Since
Electric Generators with a DIP of 50 MGD or greater were covered by the final Phase II rule, no Phase III
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses D3: Other Administrative Requirements
Generator would be subject to the national requirements under the three proposed options; therefore there would
be no impacts on any measures of energy supply, distribution, or use under the proposed rule.
To assess potential energy effect of alternative evaluated options for Electric Generators, EPA used the results
from its electricity market model analysis (see the Appendix to Chapter B5: Economic Impact Analysis for
Electric Generators). EPA compared the post-compliance scenario (after the implementation of Phase III
compliance requirements) with Base Case 2 (including Phase II compliance costs but excluding Phase III
compliance costs). This comparison allows EPA to identify the incremental market-level effects of Phase III
regulation, beyond the effects of Phase II regulation. It should be noted that this analysis was only conducted for
Option 6, the most inclusive option with the highest regulatory costs and potential for energy effects. Therefore,
the potential energy effects of all other options evaluated by EPA would be lower.
»»» Production of coal
EPA estimates that Option 6 would decrease the annual use of coal for electricity generation by 53.8 trillion Btu
(TBtu), or 0.25%. This reduction converts to 2.66 million tons of coal per year or 7,286 tons of coal per day.1
Assuming that a reduction in the use of coal for electricity generation results in a similar reduction in coal
production, EPA concludes that Option 6 would not have a significant impact on the national production of coal
as defined by the thresholds listed above.
»»» Production of electricity
EPA's electricity market analysis did not allow for an explicit consideration of the changes in the production of
electricity. However, based on the small effects on installed capacity and electricity prices, EPA concludes that
Option 6 would not reduce electricity production in excess of 1 billion kilowatt hours per day.
»»» Installed capacity
None of the evaluated options contain requirements that would permanently reduce installed capacity, for
example through parasitic losses or auxiliary power requirements. However, the rule does contain requirements
that may lead to one-time temporary downtimes of up to nine weeks of steam electric generators subject to Phase
III regulation. EPA estimates that under Option 6 approximately four facilities, accounting for 145 megawatts
(MW) of generating capacity, would experience such downtimes. However, EPA's analyses indicate that these
downtimes would not have a significant adverse effect on the supply, distribution, or use of energy (see the
Appendix to Chapter B5: Economic Impact Analysis for Electric Generators). In addition, EPA estimates that
Option 6 would lead to only 173 MW in incremental permanent capacity closures, well below the 500 MW
impact threshold.
»»» Energy prices
Option 6 would not significantly affect energy prices in either the long run or the short run. EPA estimates that,
in the long run, energy prices would rise by less than 1% in all but one North American Electric Reliability
Council (NERC) regions. The Electric Reliability Council of Texas (ERCOT) is estimated to have the largest
increase in electricity prices with 1.1% in 2010 and 5.2% in 2013. No other region would experience energy price
increases of more than 0.2% as a result of Phase III regulation.
»»» Dependence on foreign supplies of energy
EPA's electricity market analysis did not allow for an explicit consideration of effects on foreign imports of
energy. However, Electric Generators which are generally not subject to significant foreign competition. (Only
Canada and Mexico are connected to the U.S. electricity grid, and transmission losses are substantial when
electricity is transmitted over long distances.) In addition, the effects on installed capacity and electricity prices,
are estimated to be small. EPA therefore concludes that Option 6 would not significantly increase dependence on
foreign supplies of energy.
This conversion assumes an average energy content of 10,115 Btu per pound of coal (U.S. DOE, 2000).
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses D3: Other Administrative Requirements
D3-6.2 New Offshore Oil and Gas Extraction Facilities
This rule applies only to new offshore oil and gas extraction facilities and not existing ones. Hence the rule
would have no impact on existing production of oil and gas, energy prices, installed capacity, nor would it
significantly increase dependence on foreign supplies of energy. EPA's analysis identified no barriers to entry or
energy effects. EPA therefore concludes that the proposed rule would not significantly affect new offshore oil
and gas production, energy prices, or dependence on foreign supplies of energy.
Based on these analyses for potentially regulated existing and new facilities, EPA concludes that this proposed
rule would have minimal energy effects at a national and regional level. As a result, EPA did not prepare a
Statement of Energy Effects.
D3-7 NATIONAL TECHNOLOGY TRANSFER AND ADVANCEMENT ACT OF 1995
Section 12(d) of the National Technology Transfer and Advancement Act (NTTAA) of 1995, Pub L. No. 104-
113, Sec. 12(d) directs EPA to use voluntary consensus standards in its regulatory activities unless doing so
would be inconsistent with applicable law or otherwise impractical. Voluntary consensus standards are technical
standards (e.g., materials specifications, test methods, sampling procedures, and business practices) that are
developed or adopted by voluntary consensus standard bodies. The NTTAA directs EPA to provide Congress,
through the Office of Management and Budget (OMB), explanations when the Agency decides not to use
available and applicable voluntary consensus standards.
This proposed rule does not involve such technical standards. Therefore, EPA is not considering the use of any
voluntary consensus standards.
D3-8 EXECUTIVE ORDER 12898: FEDERAL ACTIONS TO ADDRESS ENVIRONMENTAL JUSTICE
IN MINORITY POPULATIONS AND LOW-INCOME POPULATIONS
Executive Order 12898 (59 FR 7629, February 11, 1994) requires that, to the greatest extent practicable and
permitted by law, each Federal agency must make achieving environmental justice part of its mission. E.O.
12898 provides that each Federal agency must conduct its programs, policies, and activities that substantially
affect human health or the environment in a manner that ensures such programs, policies, and activities do not
have the effect of (1) excluding persons (including populations) from participation in, or (2) denying persons
(including populations) the benefits of, or (3) subjecting persons (including populations) to discrimination under
such programs, policies, and activities because of their race, color, or national origin.
Today's proposed rule requires that the location, design, construction, and capacity of cooling water intake
structures (CWIS) at Phase III facilities reflect the best technology available for minimizing adverse
environmental impact. For several reasons, EPA does not expect that this proposed rule would have an
exclusionary effect, deny persons the benefits of the participation in a program, or subject persons to
discrimination because of their race, color, or national origin. In fact, because EPA expects that this proposed
rule would help to preserve the health of aquatic ecosystems located in reasonable proximity to Phase III facilities,
it believes that all populations, including minority and low-income populations, would benefit from improved
environmental conditions as a result of this rule.
D3-9 EXECUTIVE ORDER 13158: MARINE PROTECTED AREAS
Executive Order 13158 (65 FR 34909, May 31, 2000) requires EPA to "expeditiously propose new science-based
regulations, as necessary, to ensure appropriate levels of protection for the marine environment." EPA may take
action to enhance or expand protection of existing marine protected areas and to establish or recommend, as
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses D3: Other Administrative Requirements
appropriate, new marine protected areas. The purpose of the Executive Order is to protect the significant natural
and cultural resources within the marine environment, which means "those areas of coastal and ocean waters, the
Great Lakes and their connecting waters, and submerged lands thereunder, over which the United States exercises
jurisdiction, consistent with international law." EPA expects that the Proposed Section 316(b) Rule for Phase III
Facilities would advance the objective of Executive Order 13158.
Marine protected areas (MPAs) include designated areas with varying levels of protection, from fishery closure
areas, to aquatic National Parks, Marine Sanctuaries, and Wildlife Refuges (NOAA, 2002). The Departments of
Commerce and the Interior are developing an inventory of MPAs in the U.S. that are protected and managed
under Federal, State, Territorial, Tribal, or local laws. This list has not been completed, but it currently includes
32 Federal sites in the New England region, 31 in the Middle Atlantic region, 43 in the South Atlantic region, 45
in the Gulf of Mexico region, 12 in the Caribbean region, 15 in the Great Lakes region, and 46 in the U.S. West
Coast region. Examples of marine protected areas include the Great Bay National Wildlife Refuge in New
Hampshire, the Cape Cod Bay Northern Right Whale Critical Habitat in Massachusetts, the Narragansett Bay
National Estuarine Research Reserve in Rhode Island, Everglades National Park and the Tortugas Shrimp
Sanctuary in Florida, and the Point Reyes National Seashore in California.
Marine protected areas can help address problems related to the depletion of marine resources by prohibiting, or
severely curtailing, activities that are permitted or regulated by law outside of marine protected areas. Such
activities include oil exploration, dredging, dumping, fishing, certain types of vessel traffic, and the focus of
section 316(b) rulemaking, the impingement and entrainment of aquatic organisms by cooling water intake
structures.
Impingement and entrainment affects many kinds of aquatic organisms, including fish, shrimp, crabs, birds, sea
turtles, and marine mammals. Aquatic environments are harmed both directly and indirectly by impingement and
entrainment of these organisms. In addition to the harm that results from the direct removal of organisms by
impingement and entrainment, there are the indirect effects on aquatic food webs that result from the impingement
and entrainment of organisms that serve as prey for predator species. There are also cumulative impacts that
result from multiple intake structures operating in the same local area, or when multiple intakes affect individuals
within the same population over a broad geographic range.
Decreased numbers of aquatic organisms resulting from the direct and indirect effects of impingement and
entrainment can have a number of consequences for marine resources, including impairment of food webs,
disruption of nutrient cycling and energy transfer within aquatic ecosystems, loss of native species, and reduction
of biodiversity. By reducing the impingement and entrainment of aquatic organisms, this proposed rule would not
only help protect individual species but also the overall marine environment, thereby advancing the objective of
Executive Order 13158 to protect marine areas.
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§ 316(b) Proposed Rule: Phase III-EA, PartD: Additional Economic Analyses D3: Other Administrative Requirements
REFERENCES
Executive Office of the President. 2001. Executive Order 13211. "Actions Concerning Regulations That
Significantly Affect Energy Supply, Distribution, or Use." 66 FR 28355. May 22, 2001.
Executive Office of the President. 2000a. Executive Order 13175. "Consultation and Coordination with Indian
Tribal Governments." 65 FR 67249, November 6, 2000.
Executive Office of the President. 2000b. Executive Order 13158. "Marine Protected Areas." 65 FR 34909,
May 31,2000.
Executive Office of the President. 1999. Executive Order 13132. "Federalism." 64 FR 43255. August 10,
1999.
Executive Office of the President. 1997. Executive Order 13045. "Protection of Children from Environmental
Health Risks and Safety Risks." 62 FR 19885, April 23, 1997.
Executive Office of the President. 1994. Executive Order 12898. "Federal Actions to Address Environmental
Justice in Minority Populations and Low-Income Populations." 59 FR 7629, February 11, 1994.
Executive Office of the President. 1993. Executive Order 12866. "Regulatory Planning and Review." 58 FR
51735. October 4, 1993.
National Oceanic and Atmospheric (NOAA) and U.S. Department of Commerce. 2002. Marine Protected Areas
of the United States, http://mpa.gov/welcome.html. Accessed 2/22/02.
Paperwork Reduction Act (PRA). 44 U.S.C. 3501 et seq.
U.S. Department of Commerce (U.S. DOC), Bureau of the Census. 2000. 2000 Census of Population and
Housing.
U.S. Department of Commerce (U.S. DOC), Bureau of the Census. 1998. 1998 Small Area Income and Poverty
Estimates.
U.S. Department of Energy (U.S. DOE), Energy Information Administration (EIA). 2000. Coal Industry Annual
2000 Data Tables, Table 106 Average Quality of Coal Received at Electric Utilities by Census Division and State,
1991, 1996-2000. Table data from Federal Energy Regulatory Commission, FERC Form 423, Monthly Report of
Cost and Quality of Fuels for Electric Plants. Accessed 11/24/03.
U.S. Department of the Interior (U.S. DOI), Fish and Wildlife Service, and U.S. Department of Commerce,
Bureau of the Census. 1997. 1996 National Survey of Fishing, Hunting, and Wildlife-Associated Recreation.
U.S. Environmental Protection Agency (U.S. EPA). 2004. Information Collection Request (ICR)for Cooling
Water Intake Structures Phase III Proposed Rule. ICR Number 2169.01. October 2004.
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis El: Summary of Social Costs
Chapter El: Summary of Social Costs
INTRODUCTION CHAPTER CONTENTS
El-l Costs of Compliance by Regulated Industry
Segments El-l
El-2 State and Federal Administrative Costs El-4
El-3 Total Social Cost El-4
El-4 Limitations and Uncertainties El-12
Glossary El-13
References El-14
Appendix to Chapter El E1A-1
This chapter presents EPA's estimates of the costs to
society associated with the options evaluated for the
proposed rule for Phase III facilities. The social
costs of regulatory actions are the opportunity
costs to society of employing scarce resources to
reduce environmental damages. The social costs of
regulation include both monetary and non-monetary
outlays made by society. Monetary outlays include
the resource costs of compliance, government
administrative costs, and other adjustment costs, such as the cost of relocating displaced workers. Non-monetary
outlays, some of which can be assigned monetary values, include losses in consumers' and producers' surplus in
affected product markets, the adverse effects of involuntary unemployment, possible loss of time (e.g., delays in
investment decisions), and possible adverse impacts on the rate of innovation.
EPA's estimates of social costs for the evaluated section 316(b) Phase III options include three components:
1. direct costs of complying with the regulation within each regulated industry segment,
2. cost to State governments in administering the regulation, and
3. cost to the Federal government in administering the regulation.
This chapter presents the social cost analysis for the three proposed options for existing facilities: the "50 MGD
for All Waterbodies" option ("50 MGD All"), the "200 MGD for All Waterbodies" option ("200 MGD All"), and
the "100 MGD for Certain Waterbodies" Option ("100 MGD CWB"). These options differ with regard to (1)
their design intake flow (DIP) applicability thresholds: 50, 100, and 200 MGD, respectively; and (2) the type of
waterbodies to which they would apply: the options with the 50 and 200 MGD applicability thresholds would
apply to all waterbody types while the option with the 100 MGD applicability threshold would apply only to
facilities withdrawing cooling water from certain waterbody types (i.e., an ocean, estuary, tidal river/stream or one
of the Great Lakes). Facilities meeting these applicability criteria would be required to meet similar performance
standards to those required in the final 316(b) Phase II rule, including a 80-95% reduction in impingement
mortality and a 60-90% reduction in entrainment. Facilities not meeting these applicability criteria would
continue to be subject to permit requirements based on the Director's Best Professional Judgment (BPJ). As a
result, the number of facilities that would be required to meet the national requirements would vary among the
three proposed options. Of the three options presented here, the 100 MGD for Certain Waterbodies Option would
apply national categorical requirements to the smallest number of facilities, with the 200 MGD for All
Waterbodies Option and 50 MGD for All Waterbodies Option applying to successively larger numbers of
facilities.
This chapter also presents social costs for new offshore oil and gas extraction facilities (also abbreviated as "new
OOGE facilities"). The proposed requirements for this industry segment are based on a 2 MGD DIP applicability
threshold and would apply to an estimated 124 new offshore oil and gas extraction facilities.
El-l COSTS OF COMPLIANCE BY REGULATED INDUSTRY SEGMENT
The compliance costs used to estimate total social costs differ in their consideration of taxes from those in Part B:
Economic Analysis for Phase III Existing Facilities, and Part C: Economic Analysis for Phase III New Offshore
Oil and Gas Extraction Facilities, which were calculated for the purpose of estimating the private costs and
El-l
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis El: Summary of Social Costs
impacts of the evaluated options. For the impact analyses, compliance costs are measured according to their
effect on the financial performance of the regulated facilities and firms. The analyses therefore explicitly consider
the tax deducibility of compliance outlays.1 In the analysis of costs to society, however, these compliance costs
are considered on a pre-tax basis. The costs to society are the full value of the resources used, whether they are
paid for by the regulated facilities or by all taxpayers in the form of lost tax revenues.
EPA included no costs for facilities that were assessed as baseline closures or that are subject to permit
specifications based on best professional judgement (BPJ), instead of the proposed rule's national categorical
requirements. However, EPA's estimates do include compliance costs for facilities estimated to close because of
the rule.2 This approach may overstate the social costs of compliance, to the extent that the net economic loss to
society in facility closures is less than the estimated cost to society of compliance.3
To assess the cost to society of complying with Phase III regulation, EPA estimated the costs to facilities for the
labor, equipment, materials, and other economic resources needed to comply with each evaluated option. In this
analysis, EPA assumed that the market prices for labor, equipment, materials, and other compliance resources
represent the opportunity costs to society for use of those resources in regulatory compliance.
For the analysis of installation downtime in the Electric Generators and Manufacturers segment, EPA assumed
that the cost of society is equal to the increase in production cost for providing the electricity or other replacement
goods and services not provided by the facilities that incur downtime in reaching compliance with the 316(b)
Phase III regulation. For both Electric Generators and Manufacturers, this cost is approximated as the lost
revenue from installation downtime less the variable cost of producing the electricity or other goods and services
not produced due to the installation downtime. Implicit in this assumption is that the variable production cost of
replacing the electricity or other lost goods and services is essentially the same as the price received for the sale of
the electricity or other goods and services not produced by the facilities incurring the installation downtime. For
electricity, this assumption is consistent with the electricity market concept that the variable production cost of the
last generating unit to be dispatched is approximately the same as the price received for the last unit of
production. For the goods and services not produced by affected Manufacturers facilities, the assumption is
likewise consistent with a competitive market model of increasing marginal production cost, such that the
production cost of the "last" or highest cost goods and services produced and sold in any period is approximately
equal to the price received for those goods and services in the market. For Manufacturers - which do not
necessarily produce and sell goods in as orderly markets as electric generators and where, as a result, the cost of
producing replacement goods and services may be less than selling price - this assumption may overstate the cost
to society of installation downtime. Absent specific knowledge of the overall production cost structure of the
affected industries, EPA adopted this conservative assumption for its analysis of the social cost of Phase III
regulation.
EPA estimates that the offshore oil and gas extraction industry segment would not incur cost from installation
downtime because only new offshore oil and gas extraction facilities would be regulated under this proposed rule.
The potential disruption in ongoing business operation estimated for existing Manufacturers and Electric
Generators is not relevant for new facilities.
Finally, EPA assumes in its social cost analysis that none of the evaluated options would affect the aggregate
quantity of goods and services sold to consumers by producers in the affected industry segments. The resource
costs of compliance therefore manifest only as a reduction in the total of producers' surplus and consumers'
1 Because government facilities and cooperatives are not subject to income taxes, their costs are not adjusted for taxes.
2 To the extent such impacts occur under any of the options analyzed.
3 Including costs for regulatory closures yields an estimate of social costs assuming that all facilities, except those assessed as
baseline closures, would incur the costs of regulatory compliance and continue to operate post-regulation. Calculating costs as if all
facilities continue operating will overstate social costs if the social cost of compliance is greater than the net economic loss to society from
facility closure. Whether this result will hold depends, in part, on the difference between social and private discount rates, and the
marginal cost to society to replace the lost production of goods and services in closing facilities.
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
El: Summary of Social Costs
surplus, with no change in the quantity of goods and services produced and consumed. In the impact analyses,
specific assumptions are made about the distribution of this effect between producers and consumers (i.e., the
impact analyses of all analyzed section 316(b) Phase III industry segments - Manufacturers, Electric Generators,
and new offshore oil and gas extraction facilities - assume that all compliance costs are absorbed by complying
businesses with no increase in prices to consumers). However, for the social cost analysis, the distribution of this
effect between producers and consumers is irrelevant. Given the very small impact of the options on total costs
within the industry segments, EPA believes the assumption of no effect on total quantity of goods and services
produced and consumed is reasonable.
Table El-1 below summarizes total direct facility costs for the proposed rule new offshore oil and gas extraction
facilities combined with the three proposed options for existing facilities. As described in Chapter Bl: Summary
of Cost Categories and Key Analysis Elements for Existing Facilities and Chapter Cl: Summary of Cost
Categories and Key Analysis Elements for New Offshore Oil and Gas Extraction Facilities, costs were first tallied
on an as-incurred, year-by-year basis over the total time period of analysis, considering the latest year in which
any affected facility is assumed to reach compliance (2014 for existing facilities, 2026 for new offshore oil and
gas extraction facilities) and for a period of 30 years in which facilities are assumed to continue compliance, for
the purposes of the social cost analysis. Thus, for the social cost analysis, the analysis period extends to 2055 for
new facilities and to 2043 for existing facilities.4 These profiles of costs by year were then discounted to the
assumed year when this proposed rule would take effect, beginning of year 2007, at two values of the discount
rate, 3% and 7%. These discount rate values reflect guidance from the Office of Management and Budget (OMB)
regulatory analysis guidance document, Circular A-4 (OMB, 2003). After calculating the present value of these
cost streams, EPA calculated their constant annual equivalent value (annualized value) using the annualization
formula presented in Chapter Bl, again using the two values of the discount rate, 3% and 7%.
Table El-1: Summary of Annualized Direct Costs by Regulated Industry Segments
(in millions, 2003 $)
Existing Manufacturing Facilities
Primary Manufacturing Industries
Other Industries
Existing Electric Generators
Total Existing Facilities3
New Oil & Gas Facilities
Total Direct Facility Costs"
50 MGD All (Existing) /
2 MGD All (New)
3% 7%
$42.7 $45.1
$4.1 $4.4
$0.0 $0.0
$46.8 $49.5
$3.2 $2.7
$50.0 $52.2
200 MGD All (Existing) /
2 MGD All (New)
3% 7%
$21.7 $23.1
$1.0 $0.9
$0.0 $0.0
$22.6 $24.0
$3.2 $2.7
$25.9 $26.7
100 MGD CWB (Existing) /
2 MGD All (New)
3% 7%
$16.7
$0.7
$0.0
$17.5
$3.2
$20.7
$17.4
$0.7
$0.0
$18.1
$2.7
$20.8
a Individual numbers may not add up to totals due to independent rounding.
Source: U.S. EPA Analysis, 2004.
4 Tables El-4 through El-6 below present the time profiles of regulatory costs associated with each of the proposed options for
existing facilities, combined with the proposed option for new offshore oil and gas extraction facilities.
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
El: Summary of Social Costs
El-2 STATE AND FEDERAL ADMINISTRATIVE COSTS
Social costs also include costs to State and Federal governments of administering the permitting and compliance
monitoring activities under the proposed regulation. State and Federal permitting authorities incur costs to
administer the rule, including labor costs to write permits and to conduct compliance monitoring and enforcement
activities. Chapter D2: UMRA Analysis presents more information on State and Federal implementation costs.
EPA's estimate of State and Federal government cost for administering the proposed rule is comparatively minor
in relation to the estimated direct cost of regulatory compliance. At a 3% discount rate, EPA estimates
administrative costs of $0.98 million (50 MOD All Option), $0.54 million (200 MOD All Option), and $0.57
million (100 MOD CWB Option). At a 7% discount rate, these costs amount to $0.89 million (50 MOD All
Option), $0.45 million (200 MOD All Option), and $0.48 million (100 MOD CWB Option).
Table El-2: Summary of Annualized Government Costs (in millions, 2003 $)
Existing Facilities:
State Admin. Costs
Federal Admin. Costs
Total Existing Facilities Admin. Costa
New OOGE Facilities:
State Admin. Costs
Federal Admin. Costs
Total New OOGE Facilities Admin. Cost
Total Gov. Admin. Costs3
50 MGD All (Existing) /
2 MGD All (New)
3% 7%
$0.55 $0.55
$0.01 $0.01
$0.56 $0.56
n/a n/a
$0.42 $0.32
$0.42 $0.32
$0.98 $0.89
200 MGD All (Existing) /
2 MGD All (New)
3%
$0.12
<$0.01
$0.12
n/a
$0.42
$0.42
$0.54
7%
$0.12
<$0.01
$0.13
n/a
$0.32
$0.32
$0.45
100 MGD CWB (Existing) /
2 MGD All (New)
3% 7%
$0.15
<$0.01 <
$0.15
n/a
$0.42
$0.42
$0.57
$0.16
$0.01
$0.16
n/a
$0.32
$0.32
$0.48
a Individual numbers may not add up to totals due to independent rounding.
Source: U.S. EPA Analysis, 2004.
El-3 TOTAL SOCIAL COST
Table El-3 combines the information presented above by industry segment and major cost category - direct
facility costs and administrative costs - and reports the total social costs of the three proposal options, discounted
at a 3% and 7% rate. At a 3% discount rate the estimated total annualized social costs are $51.0 million for the 50
MGD All Option, $26.4 million forthe 200 MGD All Option, and $21.3 million forthe 100 MGD CWB Option.
At a 7% discount rate the estimated total annualized social costs are $53.1 million for the 50 MGD All Option,
$27.2 million forthe 200 MGD All Option, and $21.3 million forthe 100 MGD CWB Option (all values in
2003$).
As shown in Table El-3, existing facilities account for the substantial majority of total social cost under all three
proposal options. Since no Electric Generators would be subject to the national requirements under any of the
three proposed options, Manufacturers account for all costs in the existing facilities segment. At a 3% discount
rate, annualized pre-tax costs per facility in the Manufacturers segment amount to $349,000 for the 50 MGD All
option, $920,000 forthe 200 MGD All option, and $929,000 forthe 100 MGD CWB option. At a 7% discount
El-4
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
El: Summary of Social Costs
rate, annualized pre-tax costs in the Manufacturers segment amount to $369,000 for the 50 MGD All option,
$974,000 for the 200 MGD All option, and $962,000 for the 100 MGD CWB option. Because the 200 MGD
option and the 100 MGD option apply national categorical requirements to a smaller number of facilities than the
50 MGD option, they result in a lower total national cost but a higher cost per regulated facility. Facilities that
are subject to the national requirements of the 200 MGD option and the 100 MGD option incur the same
compliance costs as under the 50 MGD option; however, the average costs per regulated facility are higher under
the 200 MGD and 100 MGD options because only the higher flow, and therefore higher cost, facilities incur costs
under these options. For facilities in the new offshore oil and gas extraction industry segment, per facility costs
under the proposed rule are approximately $30,000 at a 3% discount rate and $24,000 at a 7% discount rate.
Table El-3: Summary of Annualized Social Costs (in millions, 2003 $)
Existing Facilities:
Total Direct Facility Costs
Total Government Administrative Costs
Total Existing Facilities Social Cost
New OOGE Facilities:
Total Direct Facility Costs
Total Government Administrative Costs
Total New OOGE Facilities Social Cost
Total Social Cost
50 MGD All
(Existing) / 2 MGD
All (New)
3% 7%
$46.8 $49.5
$0.6 $0.6
$47.3 $50.1
$3.2 $2.7
$0.4 $0.3
$3.7 $3.0
$51.0 $53.1
200 MGD
All
(Existing) / 2 MGD
All (New)
3%
$22.6
$0.1
$22.8
$3.2
$0.4
$3.7
$26.4
7%
$24.0
$0.1
$24.1
$2.7
$0.3
$3.0
$27.2
100 MGD CWB
(Existing) / 2 MGD
All (New)
3%
$17.5
$0.2
$17.6
$3.2
$0.4
$3.7
$21.3
7%
$18.1
$0.2
$18.3
$2.7
$0.3
$3.0
$21.3
a Individual numbers may not add up to totals due to independent rounding.
Source: U.S. EPA Analysis, 2004.
Tables El-4 through El-6, starting on the following page, provide additional detail on the compliance cost
calculations. The tables compile, for each of the three proposed options for existing facilities and the proposed
option for new offshore oil and gas extraction facilities, the time profiles of costs incurred by the regulated
industry segments, administrative costs, and total costs. The tables also report the calculated present and
annualized values of costs at 3% and 7% discount rates. Time profiles for other options evaluated for existing
facilities are presented in the appendix to this chapter.
El-5
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
El: Summary of Social Costs
Table El-4: Time Profile of Compliance Costs for the 50 MGD for All Waterbodies Option for Existing
Facilities and the Proposed Option for New OOGE Facilities (in millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
Existing Facilities
Regulated Industry
Segments
Man.
$3.2
$10.2
$15.4
$171.6
$178.4
$73.4
$109.9
$21.9
$22.2
$17.8
$18.2
$14.9
$18.8
$44.1
$81.0
$28.8
$57.9
$21.9
$22.2
$17.8
$18.2
$14.9
$18.8
$44.1
$81.0
$28.8
$57.9
$21.9
$22.2
$17.8
Generators
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
Administrative
Costs
$0.2
$0.0
$0.0
$1.1
$2.1
$1.1
$0.9
$0.3
$0.4
$0.7
$0.4
$0.4
$0.2
$0.4
$0.7
$0.4
$0.4
$0.2
$0.4
$0.7
$0.4
$0.4
$0.2
$0.4
$0.7
$0.4
$0.4
$0.2
$0.4
$0.7
Total
$3.3
$10.2
$15.4
$172.6
$180.5
$74.4
$110.8
$22.2
$22.7
$18.6
$18.6
$15.3
$19.0
$44.5
$81.7
$29.2
$58.2
$22.1
$22.7
$18.6
$18.6
$15.3
$19.0
$44.5
$81.7
$29.2
$58.2
$22.1
$22.7
$18.6
New
O&G
Facilities
$1.9
$1.7
$1.8
$1.1
$1.6
$1.9
$2.2
$2.1
$1.8
$1.6
$4.1
$2.7
$3.7
$2.8
$2.8
$4.8
$2.9
$4.4
$3.0
$2.9
$4.9
$2.8
$4.1
$2.8
$2.8
$5.1
$2.8
$4.6
$2.8
$2.8
OOGE Facilities
Administrative
Costs
$0.0
$0.0
$0.0
$0.0
$0.0
$0.5
$0.1
$0.7
$0.3
$0.3
$0.5
$0.3
$0.5
$0.3
$0.4
$0.7
$0.4
$0.7
$0.4
$0.4
$0.7
$0.3
$0.7
$0.3
$0.3
$0.7
$0.3
$0.7
$0.3
$0.3
Total
$1.9
$1.7
$1.8
$1.1
$1.6
$2.4
$2.4
$2.7
$2.0
$1.9
$4.6
$3.0
$4.2
$3.2
$3.2
$5.5
$3.3
$5.1
$3.4
$3.3
$5.6
$3.1
$4.7
$3.1
$3.1
$5.8
$3.1
$5.2
$3.1
$3.1
Total
$5.2
$12.0
$17.2
$173.7
$182.2
$76.8
$113.2
$24.9
$24.7
$20.5
$23.2
$18.2
$23.2
$47.7
$85.0
$34.7
$61.5
$27.2
$26.1
$21.9
$24.2
$18.4
$23.7
$47.7
$84.9
$35.0
$61.4
$27.3
$25.8
$21.7
El-6
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
El: Summary of Social Costs
Table El-4: Time Profile of Compliance Costs for the 50 MGD for All Waterbodies Option for Existing
Facilities and the Proposed Option for New OOGE Facilities (in millions; 2003$)
Year
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Existing Facilities
Regulated Industry
Segments
Man. Generators
$18.2 $0.0
$14.9 $0.0
$14.2 $0.0
$12.0 $0.0
$6.2 $0.0
$4.1 $0.0
$0.5 $0.0
$944.6 $0.0
$46.8 $0.0
$657.5 $0.0
$49.5 $0.0
Administrative _ , ,
_ , Total
Costs
$0.4 $18.6
$0.4 $15.3
$0.2 $14.4
$0.1 $12.1
$0.1 $6.3
$0.0 $4.1
$0.0 $0.5
$11.2 $955.8
$0.6 $47.3
$7.5 $665.0
$0.6 $50.1
New
O&G
Facilities
$3.9
$1.8
$3.0
$1.7
$1.7
$3.6
$1.6
$2.4
$1.5
$1.5
$2.1
$0.5
$1.0
$0.3
$0.2
$1.5
$0.1
$0.6
$0.0
$65.4
$3.2
$36.0
$2.7
OOGE Facilities
Administrative
Costs
$0.7
$0.3
$0.6
$0.3
$0.2
$0.5
$0.2
$0.4
$0.2
$0.2
$0.3
$0.1
$0.2
$0.1
$0.1
$0.1
$0.0
$0.1
$0.0
$8.5
$0.4
$4.3
$0.3
Total
$4.6
$2.1
$3.6
$2.0
$1.9
$4.1
$1.8
$2.8
$1.7
$1.6
$2.4
$0.6
$1.3
$0.4
$0.3
$1.6
$0.2
$0.7
$0.1
$74.0
$3.7
$40.3
$3.0
Total
$23.2
$17.4
$18.0
$14.1
$8.2
$8.3
$2.4
$2.8
$1.7
$1.6
$2.4
$0.6
$1.3
$0.4
$0.3
$1.6
$0.2
$0.7
$0.1
$1,029.8
$51.0
$705.3
$53.1
Source: U.S. EPA Analysis, 2004.
El-7
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
El: Summary of Social Costs
Table El-5: Time Profile of Compliance Costs for the 200 MGD for All Waterbodies Option for Existing
Facilities and the Proposed Option for New OOGE Facilities (in millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
Existing Facilities
Regulated Industry
Segments
Man. Generators
$0.0
$1.4
$2.1
$129.1
$83.4
$12.1
$45.4
$7.4
$8.5
$7.4
$8.9
$7.4
$7.2
$12.7
$39.8
$14.6
$45.7
$7.3
$8.5
$7.4
$8.9
$7.4
$7.2
$12.7
$39.8
$14.6
$45.7
$7.3
$8.5
$7.4
$8.9
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
Administrative
Costs
$0.2
$0.0
$0.0
$0.0
$0.5
$0.1
$0.4
$0.1
$0.1
$0.2
$0.1
$0.1
$0.1
$0.0
$0.2
$0.1
$0.1
$0.1
$0.0
$0.2
$0.1
$0.1
$0.1
$0.0
$0.2
$0.1
$0.1
$0.1
$0.0
$0.2
$0.1
Total
$0.2
$1.4
$2.1
$129.1
$83.8
$12.3
$45.8
$7.5
$8.5
$7.5
$9.0
$7.5
$7.3
$12.7
$40.0
$14.6
$45.8
$7.4
$8.5
$7.5
$9.0
$7.5
$7.3
$12.7
$40.0
$14.6
$45.8
$7.4
$8.5
$7.5
$9.0
New
O&G
Facilities
$1.9
$1.7
$1.8
$1.1
$1.6
$1.9
$2.2
$2.1
$1.8
$1.6
$4.1
$2.7
$3.7
$2.8
$2.8
$4.8
$2.9
$4.4
$3.0
$2.9
$4.9
$2.8
$4.1
$2.8
$2.8
$5.1
$2.8
$4.6
$2.8
$2.8
$3.9
OOGE Facilities
Administrative
Costs
$0.0
$0.0
$0.0
$0.0
$0.0
$0.5
$0.1
$0.7
$0.3
$0.3
$0.5
$0.3
$0.5
$0.3
$0.4
$0.7
$0.4
$0.7
$0.4
$0.4
$0.7
$0.3
$0.7
$0.3
$0.3
$0.7
$0.3
$0.7
$0.3
$0.3
$0.7
Total
$1.9
$1.7
$1.8
$1.1
$1.6
$2.4
$2.4
$2.7
$2.0
$1.9
$4.6
$3.0
$4.2
$3.2
$3.2
$5.5
$3.3
$5.1
$3.4
$3.3
$5.6
$3.1
$4.7
$3.1
$3.1
$5.8
$3.1
$5.2
$3.1
$3.1
$4.6
Total
$2.1
$3.1
$3.9
$130.2
$85.4
$14.6
$48.1
$10.2
$10.6
$9.5
$13.5
$10.5
$11.5
$15.9
$43.2
$20.1
$49.1
$12.5
$11.9
$10.9
$14.6
$10.6
$12.0
$15.9
$43.1
$20.4
$48.9
$12.7
$11.6
$10.7
$13.6
El-8
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
El: Summary of Social Costs
Table El-5: Time Profile of Compliance Costs for the 200 MGD for All Waterbodies Option for Existing
Facilities and the Proposed Option for New OOGE Facilities (in millions; 2003$)
Year
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Existing Facilities
Regulated Industry
Segments
Man. Generators
$7.4 $0.0
$7.0 $0.0
$6.7 $0.0
$3.9 $0.0
$3.0 $0.0
$0.4 $0.0
$457.2 $0.0
$22.6 $0.0
$318.7 $0.0
$24.0 $0.0
Administrative _ , ,
r, i Total
Costs
$0.1 $7.5
$0.1 $7.1
$0.0 $6.8
$0.0 $3.9
$0.0 $3.1
$0.0 $0.4
$2.5 $459.7
$0.1 $22.8
$1.7 $320.3
$0.1 $24.1
New
O&G
Facilities
$1.8
$3.0
$1.7
$1.7
$3.6
$1.6
$2.4
$1.5
$1.5
$2.1
$0.5
$1.0
$0.3
$0.2
$1.5
$0.1
$0.6
$0.0
$65.4
$3.2
$36.0
$2.7
OOGE Facilities
Administrative
Costs
$0.3
$0.6
$0.3
$0.2
$0.5
$0.2
$0.4
$0.2
$0.2
$0.3
$0.1
$0.2
$0.1
$0.1
$0.1
$0.0
$0.1
$0.0
$8.5
$0.4
$4.3
$0.3
Total
$2.1
$3.6
$2.0
$1.9
$4.1
$1.8
$2.8
$1.7
$1.6
$2.4
$0.6
$1.3
$0.4
$0.3
$1.6
$0.2
$0.7
$0.1
$74.0
$3.7
$40.3
$3.0
Total
$9.6
$10.6
$8.8
$5.9
$7.2
$2.2
$2.8
$1.7
$1.6
$2.4
$0.6
$1.3
$0.4
$0.3
$1.6
$0.2
$0.7
$0.1
$533.6
$26.4
$360.6
$27.2
Source: U.S. EPA Analysis, 2004.
El-9
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
El: Summary of Social Costs
Table El-6: Time Profile of Compliance Costs for the 100 MGD for Certain Waterbodies Option for
Existing Facilities and the Proposed Option for New OOGE Facilities (in millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
Existing Facilities
Regulated Industry
Segments
Man. Generators
$0.4
$3.8
$3.9
$8.8
$138.9
$11.4
$34.9
$5.3
$8.2
$5.2
$6.5
$5.2
$5.2
$8.2
$41.1
$12.2
$35.3
$5.3
$8.2
$5.2
$6.5
$5.2
$5.2
$8.2
$41.1
$12.2
$35.3
$5.3
$8.2
$5.2
$6.5
$5.2
$4.8
$4.7
$2.2
$1.3
$0.4
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
$0.0
Administrative
Costs
$0.2
$0.0
$0.0
$0.2
$0.8
$0.1
$0.4
$0.0
$0.1
$0.3
$0.1
$0.1
$0.0
$0.1
$0.3
$0.1
$0.1
$0.0
$0.1
$0.3
$0.1
$0.1
$0.0
$0.1
$0.3
$0.1
$0.1
$0.0
$0.1
$0.3
$0.1
$0.1
$0.0
$0.0
$0.0
$0.0
$0.0
Total
$0.6
$3.8
$3.9
$9.0
$139.7
$11.5
$35.3
$5.4
$8.3
$5.4
$6.6
$5.3
$5.2
$8.3
$41.4
$12.2
$35.4
$5.4
$8.3
$5.4
$6.6
$5.3
$5.2
$8.3
$41.4
$12.2
$35.4
$5.4
$8.3
$5.4
$6.6
$5.3
$4.8
$4.7
$2.2
$1.3
$0.4
New
O&G
Facilities
$1.9
$1.7
$1.8
$1.1
$1.6
$1.9
$2.2
$2.1
$1.8
$1.6
$4.1
$2.7
$3.7
$2.8
$2.8
$4.8
$2.9
$4.4
$3.0
$2.9
$4.9
$2.8
$4.1
$2.8
$2.8
$5.1
$2.8
$4.6
$2.8
$2.8
$3.9
$1.8
$3.0
$1.7
$1.7
$3.6
$1.6
OOGE Facilities
Administrative
Costs
$0.0
$0.0
$0.0
$0.0
$0.0
$0.5
$0.1
$0.7
$0.3
$0.3
$0.5
$0.3
$0.5
$0.3
$0.4
$0.7
$0.4
$0.7
$0.4
$0.4
$0.7
$0.3
$0.7
$0.3
$0.3
$0.7
$0.3
$0.7
$0.3
$0.3
$0.7
$0.3
$0.6
$0.3
$0.2
$0.5
$0.2
Total
$1.9
$1.7
$1.8
$1.1
$1.6
$2.4
$2.4
$2.7
$2.0
$1.9
$4.6
$3.0
$4.2
$3.2
$3.2
$5.5
$3.3
$5.1
$3.4
$3.3
$5.6
$3.1
$4.7
$3.1
$3.1
$5.8
$3.1
$5.2
$3.1
$3.1
$4.6
$2.1
$3.6
$2.0
$1.9
$4.1
$1.8
Total
$2.5
$5.6
$5.7
$10.1
$141.4
$13.9
$37.7
$8.1
$10.4
$7.4
$11.2
$8.3
$9.5
$11.5
$44.6
$17.7
$38.7
$10.5
$11.7
$8.8
$12.2
$8.4
$10.0
$11.4
$44.5
$18.0
$38.6
$10.6
$11.4
$8.6
$11.2
$7.4
$8.4
$6.7
$4.1
$5.4
$2.2
El -10
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
El: Summary of Social Costs
Table El-6: Time Profile of Compliance Costs for the 100 MGD for Certain Waterbodies Option for
Existing Facilities and the Proposed Option for New OOGE Facilities (in millions; 2003$)
Year
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Existing Facilities
Regulated Industry
Segments
Man. Generators
$352.8 $0.0
$17.5 $0.0
$240.4 $0.0
$18.1 $0.0
Administrative _ , ,
r, i Total
Costs
$3.1 $355.9
$0.2 $17.6
$2.1 $242.5
$0.2 $18.3
New
O&G
Facilities
$2.4
$1.5
$1.5
$2.1
$0.5
$1.0
$0.3
$0.2
$1.5
$0.1
$0.6
$0.0
$65.4
$3.2
$36.0
$2.7
OOGE Facilities
Administrative
Costs
$0.4
$0.2
$0.2
$0.3
$0.1
$0.2
$0.1
$0.1
$0.1
$0.0
$0.1
$0.0
$8.5
$0.4
$4.3
$0.3
Total
$2.8
$1.7
$1.6
$2.4
$0.6
$1.3
$0.4
$0.3
$1.6
$0.2
$0.7
$0.1
$74.0
$3.7
$40.3
$3.0
Total
$2.8
$1.7
$1.6
$2.4
$0.6
$1.3
$0.4
$0.3
$1.6
$0.2
$0.7
$0.1
$429.9
$21.3
$282.8
$21.3
Source: U.S. EPA Analysis, 2004.
El-11
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis El: Summary of Social Costs
E1 -4 LIMITATIONS AND UNCERTAINTIES
EPA did not include in its estimate of social costs the cost associated with unemployment that may result from
facility closures. Potential unemployment-related costs would include the cost of administering unemployment
programs for workers who are projected to lose employment (but not the cost of unemployment benefits, which
are a transfer payment within society); and an estimate of the amount that workers would be willing to pay to
avoid involuntary unemployment. However, from its facility impact analysis, EPA estimates that no facilities
would close as a result of the proposed rule. EPA also did not recognize any possible savings in unemployment-
related costs from jobs created by the rule as a negative cost (benefit) of the regulation. Accordingly, EPA
estimates a zero cost of unemployment for the proposed rule.
Another key uncertainty factor in the analysis of costs to society is EPA's estimate of the cost of installation
downtime in Manufacturers facilities. As described above, EPA adopted the conservative assumption that the
production cost for replacing the goods and services not provided by complying facilities due to installation
downtime would be approximately equal to the price received for those goods and services in the market. To the
extent that these replacement goods and services are produced at a cost less than selling price, this assumption
would lead to an overestimate of the cost to society of installation downtime. The amount of potential
overestimation is not known.
El-12
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis El: Summary of Social Costs
GLOSSARY
consumer surplus: The value that consumers derive from goods and services above the price they have to pay
to obtain the goods and services.
opportunity cost: The lost value of alternative uses of resources (capital, labor, and raw materials) used in
regulatory compliance.
producer surplus: The difference between what producers' earn on their output and the economic costs of
producing that output, including a normal return on capital.
social cost: The costs incurred by society as a whole as a result of the proposed rule. Social costs do not
include costs that are transfers among parties that do not represent a new cost overall.
El-13
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis El: Summary of Social Costs
REFERENCES
Office of Management and Budget (OMB). 2003. Circular A-4, Regulatory Analysis. September 17, 2003.
Available at http://www.whitehouse.gov/omb/circulars/a004/a-4.pdf
El-14
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter El
Appendix to Chapter El
INTRODUCTION
APPENDIX CONTENTS
El A-l Costs of Compliance by Regulated Industry
Segment E1A-1
E1A-2 State and Federal Administrative Costs .... E1A-2
E1A-3 Total Social Cost E1A-2
This appendix presents the social cost results for five
other options evaluated for potential Phase III
existing facilities. For all options, facility counts and
other results only include those potential Phase III
existing facilities that are (1) non-baseline closures
and (2) subject to national categorical requirements under the option. See Chapter B3: Economic Impact Analysis
for Manufacturers and Chapter B5: Summary of Electric Generator Costs for more information on baseline
closures and counts of facilities subject to national categorical requirements under each option. See the main
body of this chapter for a description of data sources and methodologies used in these analyses.
E1A-1 COSTS OF COMPLIANCE BY REGULATED INDUSTRY SEGMENT
Table El A-l below summarizes total direct facility costs for the five other options evaluated for existing
facilities, at a 3% and a 7% discount rate. For a description of this analysis, see section El-1 above.
Table El A-l: Summary of Annualized Direct Costs by Regulated Industry Segments
Existing Facilities (in millions, 2003$)
Option 3
Option 4
Option 2
Option 1
Option 6
3% Discount Rate
Manufacturers
Primary Manufacturing
Industries
$58.2
$62.1
$66.2
8.3
$85.9
Other Industries
Electric Generators
Total Direct Facility Costs"
$4.4
$1.5
$64.1
$4.3
$0.7
$67.1
$4.4
$1.9
$72.6
$4.4
$2.2
$75.0
$5.2
$2.9
$94.0
7% Discount Rate
Manufacturers
Primary Manufacturing
Industries
Other Industries
Electric Generators
Total Direct Facility Costs"
$62.5
$4.7
$1.5
$68.7
a Individual numbers may not add up to totals due to
Source: U.S. EPA Analysis, 2004.
$67.8
$4.6
$0.7
$73.0
independent rounding.
$71.7
$4.7
$1.8
$78.3
$73.8
$4.7
$2.1
$80.7
$92.5
$5.5
$2.8
$100.8
E1A-1
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter El
E1A-2 STATE AND FEDERAL ADMINISTRATIVE COSTS
Table E1A-2 presents annualized costs to State and Federal governments of administering the permitting and
compliance monitoring activities for the five other options evaluated for existing facilities, at a 3% and a 7%
discount rate. For a description of this analysis, see section El-2 above.
Table E1A-2: Summary of Annualized Government Costs for Existing Facilities (in millions, 2003$)
Option 3
Option 4
Option 2
Option 1
Option 6
3% Discount Rate
State Admin. Costs
Federal Admin. Costs
Total Gov. Admin. Costs3
$0.91
$0.02
$0.92
$0.81
$0.01
$0.83
$1.05
$0.02
$1.07
$1.08
$0.02
$1.10
$1.66
$0.03
$1.69
7% Discount Rale
State Admin. Costs
Federal Admin. Costs
Total Gov. Admin. Costs3
$0.90
$0.02
$0.92
a Individual numbers may not add up to totals due to
Source: U.S. EPA Analysis, 2004.
$0.81
$0.02
$0.83
independent rounding.
$1.05
$0.02
$1.07
$1.08
$0.02
$1.10
$1.65
$0.04
$1.69
E1A-3 TOTAL SOCIAL COST
Table E1A-3 presents the total social costs of the five other options evaluated for existing facilities, including
direct facility costs and government administrative costs, at a 3% and a 7% discount rate. Tables E1A-4 through
E1A-8 present the time profiles for the five other options. For a description of these analyses, see section El-3
above.
Table E1A-3: Summary of Annualized Social Costs for Existing Facilities (in millions,
Option 3 Option 4
Option 2
Option 1
2003$)
Option 6
3% Discount Rate
Total Direct Facility Costs
Total Government Administrative Costs
Total Social Cost3
$64.1 $67.1
$0.9 $0.8
$65.0 $67.9
$72.6
$1.1
$73.7
$75.0
$1.1
$76.1
$94.0
$1.7
$95.7
7% Discount Rate
Total Direct Facility Costs
Total Government Administrative Costs
Total Social Cost3
$68.7 $73.0
$0.9 $0.8
$69.6 $73.9
$78.3
$1.1
$79.3
$80.7
$1.1
$81.8
$100.8
$1.7
$102.5
a Individual numbers may not add up to totals due to independent rounding.
Source: U.S. EPA Analysis, 2004.
E1A-2
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter El
Table E1A-4: Time Profile of Compliance Costs for Existing Facilities - Option 3 (in millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Costs of Compliance by Regulated Industry
Segments
Manufacturers
$3.5
$14.0
$23.4
$184.6
$190.4
$277.3
$116.4
$28.1
$28.9
$26.7
$24.3
$18.6
$23.2
$52.9
$91.8
$36.8
$64.4
$28.0
$28.9
$26.7
$24.3
$18.6
$23.2
$52.9
$91.8
$36.8
$64.4
$28.0
$28.9
$26.7
$24.3
$18.6
$17.3
$14.6
$8.3
$5.1
$0.8
$1,263.6
$62.6
$892.1
$67.2
Generators
$0.2
$0.9
$1.4
$1.8
$3.0
$2.0
$1.0
$2.2
$1.0
$1.4
$0.7
$1.1
$1.4
$1.5
$2.8
$1.7
$1.1
$2.2
$1.0
$1.4
$0.7
$1.1
$1.4
$1.5
$2.8
$1.7
$1.1
$2.2
$1.0
$1.4
$0.7
$1.1
$0.6
$0.4
$0.3
$0.1
$0.1
$30.9
$1.5
$19.5
$1.5
Administrative Costs
$0.2
$0.0
$0.0
$1.6
$2.7
$2.3
$1.6
$0.8
$0.7
$1.0
$0.9
$0.7
$0.4
$0.7
$1.0
$0.9
$0.7
$0.4
$0.7
$1.0
$0.9
$0.7
$0.4
$0.7
$1.0
$0.9
$0.7
$0.4
$0.7
$1.0
$0.9
$0.7
$0.4
$0.2
$0.1
$0.1
$0.0
$18.7
$0.9
$12.2
$0.9
Total Cost
$3.9
$14.9
$24.8
$188.0
$196.1
$281.5
$119.0
$31.0
$30.6
$29.1
$25.9
$20.4
$25.0
$55.1
$95.6
$39.4
$66.1
$30.6
$30.6
$29.1
$25.9
$20.4
$25.0
$55.1
$95.6
$39.4
$66.1
$30.6
$30.6
$29.1
$25.9
$20.4
$18.3
$15.3
$8.8
$5.3
$1.0
$1,313.2
$65.0
$923.8
$69.6
Source: U.S. EPA Analysis, 2004.
E1A-3
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter El
Table E1A-5: Time Profile of Compliance Costs for Existing Facilities - Option 4 (in millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Costs of Compliance by Regulated Industry
Segments
Manufacturers
$3.2
$13.6
$22.4
$180.9
$291.4
$282.0
$115.6
$25.1
$28.8
$25.0
$23.7
$19.5
$22.0
$50.6
$89.8
$39.7
$64.0
$25.1
$28.8
$25.0
$23.7
$19.5
$22.0
$50.6
$89.8
$39.7
$64.0
$25.1
$28.8
$25.0
$23.7
$19.5
$17.4
$15.2
$8.4
$5.1
$0.8
$1,340.4
$66.4
$960.9
$72.4
Generators
$0.0
$0.3
$0.6
$0.6
$2.0
$0.5
$0.5
$1.3
$0.6
$0.7
$0.3
$0.6
$0.3
$0.6
$1.0
$0.3
$0.6
$1.2
$0.6
$0.7
$0.3
$0.6
$0.3
$0.6
$1.0
$0.3
$0.6
$1.2
$0.6
$0.7
$0.3
$0.6
$0.3
$0.3
$0.2
$0.1
$0.1
$14.1
$0.7
$8.9
$0.7
Administrative Costs
$0.2
$0.0
$0.0
$1.1
$3.0
$2.1
$1.5
$0.6
$0.5
$1.1
$0.8
$0.5
$0.3
$0.5
$1.1
$0.8
$0.5
$0.3
$0.5
$1.1
$0.8
$0.5
$0.3
$0.5
$1.1
$0.8
$0.5
$0.3
$0.5
$1.1
$0.8
$0.5
$0.3
$0.2
$0.1
$0.1
$0.0
$16.7
$0.8
$11.0
$0.8
Total Cost
$3.3
$13.9
$23.0
$182.6
$296.5
$284.6
$117.7
$27.0
$29.9
$26.8
$24.8
$20.7
$22.6
$51.8
$91.9
$40.8
$65.2
$26.6
$29.9
$26.8
$24.8
$20.7
$22.6
$51.8
$91.9
$40.8
$65.2
$26.6
$29.9
$26.8
$24.8
$20.7
$18.0
$15.7
$8.7
$5.2
$0.9
$1,371.2
$67.9
$980.8
$73.9
Source: U.S. EPA Analysis, 2004.
E1A-4
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter El
Table E1A-6: Time Profile of Compliance Costs for Existing Facilities - Option 2 (in millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Costs of Compliance by Regulated
Segments
Industry
Manufacturers Generators
$3.5
$15.0
$25.6
$187.5
$298.4
$286.1
$120.9
$30.2
$31.7
$29.5
$26.9
$22.1
$25.3
$55.6
$96.0
$43.6
$69.4
$30.1
$31.7
$29.5
$26.9
$22.1
$25.3
$55.6
$96.0
$43.6
$69.4
$30.1
$31.7
$29.5
$26.9
$22.1
$19.4
$16.7
$9.7
$5.9
$1.1
$1,427.1
$70.7
$1,014.8
$76.4
$0.2
$1.0
$1.8
$2.2
$3.8
$2.2
$1.2
$3.3
$1.2
$1.9
$0.9
$1.4
$1.6
$1.8
$2.8
$1.9
$1.4
$3.3
$1.2
$1.9
$0.9
$1.4
$1.6
$1.8
$2.8
$1.9
$1.4
$3.3
$1.2
$1.9
$0.9
$1.4
$0.8
$0.6
$0.5
$0.2
$0.2
$38.6
$1.9
$24.3
$1.8
Administrative Costs
$0.2
$0.0
$0.0
$1.6
$3.3
$2.9
$2.0
$0.9
$0.7
$1.2
$1.1
$0.7
$0.5
$0.7
$1.2
$1.1
$0.7
$0.5
$0.7
$1.2
$1.1
$0.7
$0.5
$0.7
$1.2
$1.1
$0.7
$0.5
$0.7
$1.2
$1.1
$0.7
$0.5
$0.2
$0.2
$0.1
$0.0
$21.6
$1.1
$14.2
$1.1
Total Cost
$3.9
$16.0
$27.4
$191.4
$305.5
$291.2
$124.1
$34.4
$33.6
$32.7
$28.8
$24.2
$27.3
$58.2
$100.0
$46.6
$71.4
$33.9
$33.6
$32.7
$28.8
$24.2
$27.3
$58.2
$100.0
$46.6
$71.4
$33.9
$33.6
$32.7
$28.8
$24.2
$20.7
$17.6
$10.3
$6.2
$1.3
$1,487.3
$73.7
$1,053.3
$79.3
Source: U.S. EPA Analysis, 2004.
E1A-5
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter El
Table E1A-7: Time Profile of Compliance Costs for Existing Facilities - Option 1 (in millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Costs of Compliance by Regulated
Segments
Industry
Manufacturers Generators
$3.5
$15.1
$26.1
$201.3
$299.7
$290.1
$122.0
$31.3
$32.7
$31.1
$27.9
$23.1
$26.4
$58.6
$97.6
$47.7
$70.4
$31.2
$32.7
$31.1
$27.9
$23.1
$26.4
$58.6
$97.6
$47.7
$70.4
$31.2
$32.7
$31.1
$27.9
$23.1
$20.4
$17.6
$10.6
$5.9
$1.1
$1,469.5
$72.8
$1,043.3
$78.6
$0.2
$1.0
$1.8
$3.1
$4.0
$2.6
$1.4
$3.8
$1.4
$2.2
$1.1
$1.6
$1.8
$2.4
$3.0
$2.3
$1.6
$3.3
$1.4
$2.2
$1.1
$1.6
$1.8
$2.4
$3.0
$2.3
$1.6
$3.3
$1.4
$2.2
$1.1
$1.6
$1.0
$0.8
$0.6
$0.3
$0.3
$43.9
$2.2
$27.6
$2.1
Administrative Costs
$0.2
$0.0
$0.0
$1.7
$3.3
$3.1
$2.0
$1.0
$0.8
$1.2
$1.1
$0.7
$0.5
$0.7
$1.2
$1.1
$0.7
$0.5
$0.7
$1.2
$1.1
$0.7
$0.5
$0.7
$1.2
$1.1
$0.7
$0.5
$0.7
$1.2
$1.1
$0.7
$0.5
$0.2
$0.2
$0.1
$0.0
$22.3
1.1
$14.6
$1.1
Total Cost
$3.9
$16.1
$27.9
$206.0
$306.9
$295.9
$125.3
$36.1
$34.9
$34.5
$30.2
$25.4
$28.6
$61.7
$101.8
$51.2
$72.7
$35.0
$34.9
$34.5
$30.2
$25.4
$28.6
$61.7
$101.8
$51.2
$72.7
$35.0
$34.9
$34.5
$30.2
$25.4
$21.9
$18.6
$11.4
$6.2
$1.4
$1,535.7
$76.1
$1,085.6
$81.8
Source: U.S. EPA Analysis, 2004.
E1A-6
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter El
Table E1A-8: Time Profile of Compliance Costs for Existing Facilities - Option 6 (in millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Costs of Compliance by Regulated
Segments
Industry
Manufacturers Generators
$5.5
$22.8
$36.7
$259.6
$400.0
$308.6
$131.9
$42.8
$43.7
$40.1
$37.6
$31.6
$36.5
$72.5
$124.3
$65.0
$80.3
$42.6
$43.7
$40.1
$37.6
$31.6
$36.5
$72.5
$124.3
$65.0
$80.3
$42.6
$43.7
$40.1
$37.6
$31.6
$26.5
$22.2
$13.0
$7.5
$1.7
$1,839.0
$91.1
$1,301.3
$98.0
$0.2
$1.0
$2.0
$3.5
$5.2
$4.0
$2.6
$4.9
$1.8
$2.5
$2.0
$2.8
$2.2
$2.7
$3.4
$3.2
$2.9
$4.2
$1.8
$2.5
$2.0
$2.8
$2.2
$2.7
$3.4
$3.2
$2.9
$4.2
$1.8
$2.5
$2.0
$2.8
$1.3
$1.1
$0.9
$0.5
$0.5
$58.8
$2.9
$36.6
$2.8
Administrative Costs
$0.2
$0.0
$0.0
$3.0
$5.0
$4.1
$3.1
$1.9
$1.3
$1.9
$1.5
$1.1
$0.8
$1.3
$1.8
$1.5
$1.1
$0.8
$1.3
$1.8
$1.5
$1.1
$0.8
$1.3
$1.8
$1.5
$1.1
$0.8
$1.3
$1.8
$1.5
$1.1
$0.8
$0.3
$0.2
$0.1
$0.0
$34.2
$1.7
$22.4
$1.7
Total Cost
$6.0
$23.8
$38.7
$266.2
$410.1
$316.7
$137.6
$49.6
$46.8
$44.5
$41.1
$35.5
$39.6
$76.5
$129.5
$69.7
$84.3
$47.7
$46.7
$44.5
$41.1
$35.5
$39.6
$76.5
$129.5
$69.7
$84.3
$47.7
$46.7
$44.5
$41.1
$35.5
$28.7
$23.6
$14.2
$8.1
$2.2
$1,932.0
$95.7
$1,360.3
$102.5
Source: U.S. EPA Analysis, 2004.
E1A-7
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E1A-8
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Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E2: Summary of Benefits
Chapter E2: Summary of Benefits
CHAPTER CONTENTS
E2-1 Calculating Losses and Benefits E2-1
E2-2 Summary of Baseline Losses and Expected
Reductions in I&E E2-2
E2-3 Time Profile of Benefits E2-4
E2-4 Total Annualized Monetary Value of Losses
and Benefits E2-10
References E2-15
Appendix to Chapter E2 E2A-1
INTRODUCTION
This chapter summarizes the EPA's benefits analysis
conducted in developing the Proposed Section
316(b) Rule for Phase III Facilities and presents the
total monetary value of regional and national
baseline losses and of benefits of the three proposed
options for Phase III existing facilities:
•> the "50 MOD for All Waterbodies" option
("50 MOD All"),
* the "200 MOD for All Waterbodies" option ("200 MOD All"), and
> the "100 MOD for Certain Waterbodies" option ("100 MOD CWB").
Benefits results for five other options evaluated by EPA, but not proposed, are presented in the appendix to this
chapter.
The Regional Benefits Assessment for the Proposed Section 316(b) Rule for Phase III Facilities (RBA) provides
greater detail on the methods and data used in the regional analyses (U.S. EPA, 2004). See Chapter Al for a
discussion of the methods used to estimate impingement and entrainment (I&E), and see Chapters A2 through A9
for discussion of the methods used to estimate the value of I&E losses and the benefits of the options evaluated
for the proposed rule. The results of the regional analyses are presented in Parts B through G of the RBA.
EPA was unable to assess benefits of reducing I&E at new offshore oil and gas extraction facilities due to
significant data gaps at the time of proposal. Therefore, the benefits estimates presented in this section are
underestimates because they do not reflect benefits associated with reducing I&E at new offshore oil and gas
extraction facilities.
E2-1 CALCULATING LOSSES AND BENEFITS
EPA's analysis of national baseline losses and benefits under the evaluated options includes 603 sample-weighted
facilities in seven case study regions, excluding facilities that are expected to close in the baseline. The Agency
calculated baseline losses by summing losses from all 603 facilities. EPA's estimates of benefits are based on
only those facilities that have requirements under each option.
Quantifying and monetizing reductions in I&E due to the evaluated options considered for the proposed rule is
challenging. As described in Chapters A3 and A6 of the RBA, EPA has estimated non-use values only
qualitatively and, as a result, the estimated total benefits of the evaluated options reflect use values only. The
RBA discusses specific limitations and uncertainties associated with estimation of commercial and recreational
benefits at the regional level. National benefit estimates, which are based on the regional estimates, are subject to
the same uncertainties. The overall effect of these uncertainties is of unknown magnitude and direction (i.e., the
estimates may over- or understate the anticipated national-level of use benefits); however, EPA has no data to
indicate that the results for any of the benefit categories are atypical or unreasonable.
E2-1
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E2: Summary of Benefits
E2-2 SUMMARY OF BASELINE LOSSES AND EXPECTED REDUCTIONS IN I&E
Based on the results of the regional analyses, EPA calculated total baseline I&E losses and the amount by which
these losses would be reduced under each of the evaluated options. Losses are presented using two measures of
I&E:
1. Age-one equivalent losses - the number of individual fish of different ages impinged and entrained by
facility intakes, expressed as age-one equivalents; and
2. Foregone fishery yield - pounds of commercial harvest and numbers of recreational fish and shellfish that
are not harvested due to I&E, including indirect losses of harvested species due to losses of forage
species.
Table E2-1 presents baseline I&E losses for both measures. As reported in Table E2-1, EPA estimates total
national losses of age-one equivalents for all 603 facilities of 120 million fish. Nationwide, EPA estimates that
4.2 million pounds of fishery yield per year is foregone under current rates of I&E. Approximately 37% of all
age-one equivalent losses, or 44.2 million fish, occur in the Inland region. The Gulf of Mexico region has the
highest foregone fishery yields with approximately 2 million pounds, followed by the Mid-Atlantic region with
approximately 0.9 million pounds. More detailed discussions of the I&E losses in each region are provided in
Parts B through G of the RBA.
Table E2-1: Total Annual Baseline I&E Losses for Potential Phase III Existing Facilities by Region
(thousands)
Region
California
North Atlantic
Mid-Atlantic
South Atlantic
Gulf of Mexico
Great Lakes
Inland
National Total
Age-One Equivalents
1,310
2,340
23,200
1,520
12,700
34,400
44,200
120,000
Foregone Fishery Yield (Ibs)
96
45
920
123
1,990
489
495
4,160
Source: U.S. EPA Analysis, 2004.
To gauge the expected benefits of the proposed options, EPA estimated the extent to which these options would
reduce the estimated baseline losses. These avoided losses are based on the expected reductions in I&E at each
facility from implementation of the required compliance technologies. Table E2-2 reports, by region and option,
the expected percent reductions in I&E, and the estimated quantities of reduction in (1) losses in age-one
equivalents and (2) foregone fishery yield. At the national level, EPA estimates that the 50 MGD All option
would reduce age-one equivalent losses by 49.5 million fish and fishery yield loss by 2.2 million pounds. In
comparison, the 200 MGD All option and the 100 MGD CWB option apply to smaller numbers of facilities and
would result in slightly smaller reductions in I&E. The 200 MGD All option would reduce age-one equivalent
losses by 34.0 million fish and fishery yield losses by 1.4 million pounds. The 100 MGD All option would
reduce age-one equivalent losses by 29.8 million fish and fishery yield losses by 1.9 million pounds.
E2-2
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E2: Summary of Benefits
The study regions show substantial variation in the estimated reductions in I&E losses and avoided losses in age-
one equivalents and foregone fishery yield. As reported in Table E2-2, the largest percentage reductions in I&E
occur in the Gulf of Mexico for both the 50 MOD All and 100 MOD CWB options with 76% and 57%,
respectively. The 200 MGD All option has the largest reductions in I&E in the Mid-Atlantic region with 65% and
49%, respectively.
Percentage reductions in entrainment are less substantial, overall, than the impingement reductions. However, the
Great Lakes region shows larger percentage reductions in entrainment than impingement for each of the three
proposed options, where entrainment reductions range from 37% to 43%, and impingement reductions are 21% to
33%.
In terms of avoided age-one equivalent losses, the Inland region accounts for the largest reductions for the 50
MGD All option with approximately 30% of avoided losses. Under the 200 MGD All and the 100 MGD CWB
options, the Mid-Atlantic region accounts for the largest reductions in total avoided age-one equivalent losses
with 35% and 40%, respectively.
On the basis of avoided losses in fishery yield, the Gulf of Mexico generates the greatest benefits under each of
the three options, followed by the Mid-Atlantic region. Together, these two regions account for 83%, 84%, and
92% of the avoided fishery yield losses achieved by the 50 MGD All, the 200 MGD All, and the 100 MGD CWB
options, respectively.
More detailed discussions of regional benefits are provided in Parts B through G of the RBA.
E2-3
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Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E2: Summary of Benefits
Table E2-2: Expected Reduction in I&E for Phase III Existing Facilities by Option and Region
Region
Number of
Facilities
Installing
Technology
Impingement
Entrainment
Age-One
Equivalents
(thousands)
Foregone Fishery
Yield
(thousands; Ibs)
50 MGD All Option
California
North Atlantic
Mid-Atlantic
South Atlantic3
Gulf of Mexico
Great Lakes
Inland
National Total
1
4
3
0
7
19
69
103
39%
43%
73%
0%
76%
33%
37%
29%
40%
55%
0%
57%
43%
27%
383
930
13,400
0
8,380
11,600
14,800
49,493
28
18
600
0
1,250
169
157
2,222
200 MGD All Option
California*
North Atlantic
Mid-Atlantic
South Atlantic3
Gulf of Mexico
Great Lakes
Inland
National Total
0
1
2
0
2
5
12
22
0%
11%
65%
0%
41%
21%
22%
0%
8%
49%
0%
31%
37%
21%
0
198
11,900
0
4,580
7,710
9,650
34,038
0
4
534
0
682
116
107
1,443
100 MGD CWB Option
California*
North Atlantic
Mid-Atlantic
South Atlantic3
Gulf of Mexico
Great Lakes
Inland0
National Total
0
3
2
0
7
6
0
18
0%
43%
65%
0%
76%
24%
0%
0%
32%
49%
0%
57%
40%
0%
0
754
11,900
0
8,380
8,740
0
29,774
0
15
534
0
1,250
130
0
1,929
3 No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw less
than 50 MGD and therefore would not be required to install technologies to comply with the proposed options.
b No I&E reductions are expected in the California region because all potentially regulated facilities in this region withdraw less
than 100 MGD and therefore would not be required to install technologies to comply with the 200 MGD All and the 100 MGD
CWB options.
c The 100 MGD CWB option would not apply national categorical requirements to facilities located on freshwater rivers and
lakes/reservoirs. Thus, no I&E reductions are expected at the potentially regulated facilities in the Inland region.
Source: U.S. EPA Analysis, 2004.
E2-3 TIME PROFILE OF BENEFITS
To account for the difference in timing of benefits and costs, EPA developed a time profile of total benefits from
all Phase III facilities that reflects when benefits from each facility would be realized. For each study region,
E2-4
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Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E2: Summary of Benefits
EPA first calculated the undiscounted commercial and recreational fishing benefits from the expected annual I&E
reductions under the proposed options, based on the assumptions that all facilities in each region have achieved
compliance with the rule and that benefits are realized immediately following compliance. Then, since there are
regulatory and biological time lags between promulgation of the rule and the realization of benefits, EPA created
a time profile of benefits that takes into account the fact that benefits do not begin immediately. The development
of the time profile of benefits is discussed in detail in Chapter A8: Discounting Benefits.
Table E2-3 below provides the time profile of the monetary value of baseline I&E losses, by region. EPA
developed similar time profiles for monetary benefits for the three proposed options for Phase III existing
facilities (see Tables E2-4, E2-5, and E2-6).
E2-5
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E2: Summary of Benefits
Table E2-3: Time Profile
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%b
Annualized 3%c
PV 7%b
Annualized 7%c
California
$0
$12
$23
$93
$105
$110
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$116
$105
$93
$23
$12
$6
$0
$0
$0
$0
$0
$0
$2,143
$109
$1,258
$101
of Mean Monetary Value of Total
North
Atlantic
$0
$20
$41
$163
$183
$194
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$204
$183
$163
$41
$20
$10
$0
$0
$0
$0
$0
$0
$3,761
$192
$2,207
$178
Mid-
Atlantic
$0
$111
$222
$889
$1,001
$1,056
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,112
$1,001
$889
$222
$111
$56
$0
$0
$0
$0
$0
$0
$20,519
$1,047
$12,042
$970
South
Atlantic
$0
$8
$16
$65
$73
$77
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$73
$65
$16
(TO
4>o
$4
$0
$0
$0
$0
$0
$0
$1,498
$76
$879
$71
Baseline
Gulf of
Mexico
$111
$222
$887
$998
$1,054
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$1,109
$998
$887
$222
$111
$55
$0
$0
$0
$0
$0
$0
$0
$21,088
$1,076
$12,857
$1,036
I&E Losses
Great Lakes
$118
$236
$945
$1,063
$1,122
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,181
$1,063
$945
$236
$118
$59
$0
$0
$0
$0
$0
$0
$0
$22,452
$1,146
$13,688
$1,103
(thousands;
Inland
$112
$224
$897
$1,009
$1,065
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,121
$1,009
$897
$224
$112
$56
$0
$0
$0
$0
$0
$0
$0
$21,306
$1,087
$12,990
$1,047
2003$)a
National
Total
$341
$833
$3,031
$4,280
$4,602
$4,848
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,924
$4,583
$4,090
$1,892
$644
$322
$76
$0
$0
$0
$0
$0
$0
$92,769
$4,733
$55,921
$4,506
a Because EPA estimated non-use benefits only qualitatively, the total monetary value of I&E losses includes only losses in use
values.
b The present value (PV) is estimated by discounting individual annual values to 2007, using the stated discount rate.
c Annualized benefits represent the value of all benefits generated over the time frame of the analysis, discounted to 2007, and then
annualized over a 30-year period.
Source: U.S. EPA Analysis, 2004.
E2-6
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E2: Summary of Benefits
Table E2-4: Time Profile
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%c
Annualized 3%d
PV 7%c
Annualized 7%d
of Mean
„ ,.„ . North
California . ,,
Atlantic
$0
$0
$0
$0
$3
$7
$27
$31
$32
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$34
$31
$27
$7
$3
$2
$0
$0
$0
$577
$29
$302
$24
$0
$0
$0
$0
$0
$5
$10
$42
$50
$72
$78
$79
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$76
$71
$39
$31
$9
$3
$2
$1,298
$66
$635
$51
Total Use
Mid-
Atlantic
$0
$0
$0
$0
$7
$14
$99
$164
$439
$571
$607
$636
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$643
$636
$629
$543
$479
$203
$71
$36
$7
$10,239
$522
$4,973
$401
Benefits - 50
South
Atlantic"
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
MGD All
Gulf of
Mexico
$0
$0
$0
$0
$0
$76
$152
$608
$684
$722
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$684
$608
$152
$76
$38
$0
$0
$12,463
$636
$6,280
$506
Option (thousands; 2003$)a
Great Lakes
$0
$0
$0
$oe
$11
$26
$106
$160
$291
$371
$391
$406
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$410
$400
$384
$304
$250
$120
$39
$19
$5
$6,602
$337
$3,252
$262
Inland
$0
$0
$0
$7
$33
$96
$231
$275
$329
$349
$354
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$351
$324
$262
$127
$83
$28
$8
$4
$0e
$5,998
$306
$3,113
$251
National
Total
$0
$0
$0
$7
$54
$223
$625
$1,280
$1,826
$2,120
$2,225
$2,272
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,286
$2,279
$2,232
$2,063
$1,661
$1,006
$460
$166
$61
$14
$37,177
$1,897
$18,556
$1,495
a Because EPA estimated non-use benefits only qualitatively, the monetary value of benefits includes use values only.
b No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw less
than 50 MGD and therefore would not be required to install technologies to comply with this option.
c The present value (PV) is estimated by discounting individual annual values to 2007, using the stated discount rate.
d Annualized benefits represent the value of all benefits generated over the time frame of the analysis, discounted to 2007, and then
annualized over a 30-year period.
e Positive non-zero value less than $500.
Source: U.S. EPA Analysis, 2004.
E2-7
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E2: Summary of Benefits
Table E2-5: Time Profile
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%c
Annualized 3%d
PV 7%c
Annualized 7%d
California"
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
so
so
so
so
of Mean
North
Atlantic
$0
$0
$0
$0
$0
$0
$0
$2
$3
$14
$15
$16
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$17
$15
$14
$3
$2
$1
S266
S14
S124
S10
Total Use Benefits -
200
Mid- South
Atlantic Atlantic"
$0
$0
$0
$0
$0
$0
$43
$100
$372
$501
$537
$565
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$529
$472
$200
$71
$36
$7
$9,047
S462
$4,349
$350
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
MGD All
Gulf of
Mexico
$0
$0
$0
$0
$0
$42
$83
$332
$374
$394
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$415
$374
$332
$83
$42
$21
$0
$0
$6,810
$347
$3,431
$277
Option (thousands; 2003$)a
Great Lakes
$0
$0
$0
$0
$4
$8
$48
$77
$185
$251
$267
$279
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$283
$279
$275
$235
$207
$99
$32
$16
$4
$4,513
$230
$2,192
$177
Inland
$0
$0
$0
$3
$23
$58
$168
$191
$225
$238
$240
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$242
$239
$219
$184
$74
$51
$17
$4
$2
$0
$4,063
$207
$2,113
$170
National
Total
$0
$0
$0
$3
$27
$108
$343
$702
$1,159
$1,398
$1,474
$1,518
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,530
$1,527
$1,503
$1,422
$1,188
$828
$371
$132
$56
$12
$24,698
$1,260
$12,209
$984
a Because EPA estimated non-use benefits only qualitatively, the monetary value of benefits includes use values only.
b No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw less
than 200 MGD and therefore would not be required to install technologies to comply with this option.
c The present value (PV) is estimated by discounting individual annual values to 2007, using the stated discount rate.
d Annualized benefits represent the value of all benefits generated over the time frame of the analysis, discounted to 2007, and then
annualized over a 30-year period.
Source: U.S. EPA Analysis, 2004.
E2-8
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E2: Summary of Benefits
Table E2-6: Time Profile
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%d
Annualized 3%e
PV 7%d
Annualized 7%e
California"
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
so
so
so
so
of Mean Total Use Benefits - 100
North
Atlantic
$0
$0
$0
$0
$0
$5
$10
$40
$47
$60
$64
$65
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$66
$61
$56
$25
$19
$6
$2
$1
$1,059
S54
S524
S42
Mid-
Atlantic
$0
$0
$0
$0
$0
$0
$43
$100
$372
$501
$537
$565
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$572
$529
$472
$200
$71
$36
$7
$9,047
$462
$4,349
$350
South
Atlantic"
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
MGD CWB
Gulf of
Mexico
$0
$0
$0
$0
$0
$76
$152
$608
$684
$722
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$760
$684
$608
$152
$76
$38
$0
$0
$12,463
$636
$6,280
$506
Option (thousands;
Great
Lakes
$0
$0
$0
$0
$6
$12
$66
$98
$212
$284
$301
$314
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$318
$312
$306
$252
$220
$105
$34
$17
$4
$5,079
$259
$2,479
$200
Inland0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
2003$)a
National
Total
$0
$0
$0
$0
$6
$93
$270
$846
$1,316
$1,566
$1,661
$1,703
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,716
$1,710
$1,623
$1,445
$870
$400
$150
$55
$12
$27,647
$1,411
$13,632
$1,099
a Because EPA estimated non-use benefits only qualitatively, the monetary value of benefits includes use values only.
b No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw less
than 100 MGD and therefore would not be required to install technologies to comply with this option.
c The 100 MGD CWB option would not apply national categorical requirements to facilities located on freshwater rivers and
lakes/reservoirs. Thus, no I&E reductions are expected at the potentially regulated facilities in the Inland region.
d The present value (PV) is estimated by discounting individual annual values to 2007, using the stated discount rate.
e Annualized benefits represent the value of all benefits generated over the time frame of the analysis, discounted to 2007, and then
annualized over a 30-year period.
Source: U.S. EPA Analysis, 2004.
E2-9
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E2: Summary of Benefits
E2-4 TOTAL ANNUALIZED MONETARY VALUE OF LOSSES AND BENEFITS
EPA used the profiles of benefits, by region, to calculate a total present value of benefits and then to calculate a
constant annual equivalent value (annualized value) of the present value. EPA performed the calculations of
present value and annualized value using two discount rate values: a real rate of 3% and a real rate of 7%.
Although the total period for analysis of benefits extends from 2007 through 2048, a 42-year period, EPA
annualized the value of benefits over 30 years, which is the assumed length of each facility's compliance period
for the social cost analysis, as described in Chapter El: Summary of Social Costs. Using the same annualization
period as in the cost analysis is necessary to provide a conceptually and mathematically consistent comparison of
annualized benefit and cost values.
EPA estimated mean values, as well as lower and upper bound values reflecting uncertainty in the recreational
benefits estimates. Table E2-7 presents the value of baseline I&E losses for each region and for the nation as a
whole. Tables E2-8 and E2-9 present I&E losses for each region and the nation under the 50 MGD All, 200
MGD All, and 100 MGD CWB options discounted at 3% and 7%, respectively. Because EPA did not estimate
non-use benefits quantitatively, the monetary value of national losses and benefits presented in these tables
reflects only use values.1 As described in Chapter A3 of the RBA, the Agency was not able to monetize benefits
for 96.7% of the age-one equivalent losses of all commercial, recreational, and forage species analyzed for the
evaluated options for existing facilities. This means that the estimates of losses and benefits presented in this
section represent the losses and benefits associated with less than 3.3% of the total age-one equivalents lost due to
I&E by cooling water intake structures, and should be interpreted with caution.
Table E2-7 reports the monetized value of baseline losses as outlined above. EPA estimates the national value of
these losses at $0.3 million in commercial fishing losses and $4.4 million in recreational fishing losses (2003$,
discounted to 2007 at 3%). The total use value of fishery resources lost is $4.7 million per year, with lower and
upper bounds of $2.4 million and $9.5 million, respectively (2003$, discounted at 3%). At a 7% discount rate,
EPA estimates total annual national value of losses at $0.3 million in commercial fishing losses and $4.2 million
in recreational fishing losses (2003$). The total use value of fishery resources lost, discounted at 7%, is $4.5
million per year, with lower and upper bounds of $2.3 million and $9.0 million, respectively (2003$). Total
monetized losses are greatest in the Great Lakes region. More detailed discussions of the valuation of recreational
and commercial fishing losses under the baseline conditions in each region are provided in Parts B through G of
the RBA.
1 See Chapter A6 of the RBA for a detailed description of the ecological benefits from reduced I&E.
E2-10
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E2: Summary of Benefits
Table E2-7: Summary of Monetary Values of Baseline I&E Losses (thousands; 2003$)a
Region
Annualized Use Value of Baseline I&E Losses
Commercial
Fishing
Recreational Fishing
Low Mean High
Total Use Value"
Low Mean
High
3% discount rate
California
North Atlantic
Mid-Atlantic
South Atlantic
Gulf of Mexico
Great Lakes
Inland0
National Total
$0 - $20
$0-$9
$0 - $47
$0
$0-$139
$0 - $70
n/a
SO - $284
$38
$84
$473
$34
$419
$534
$576
$2,159
$90
$183
$1,000
$76
$937
$1,076
$1,087
$4,449
$211
$401
$2,124
$171
$2,105
$2,109
$2,047
$9,168
$58
$93
$520
$34
$558
$604
$576
$2,443
$109
$192
$1,047
$76
$1,076
$1,146
$1,087
$4,733
$231
$409
$2,171
$171
$2,244
$2,179
$2,047
$9,452
7% discount rate
California
North Atlantic
Mid-Atlantic
South Atlantic
Gulf of Mexico
Great Lakes
Inland0
National Total
$0-$18
$0-$8
$0 - $44
$0
$0-$133
$0 - $67
n/a
$0 - $271
$35
$78
$438
$32
$404
$515
$555
$2,057
$83
$170
$927
$71
$903
$1,036
$1,047
$4,236
$196
$371
$1,969
$158
$2,028
$2,031
$1,971
$8,724
$54
$86
$482
$32
$537
$582
$555
$2,328
$101
$178
$970
$71
$1,036
$1,103
$1,047
$4,506
$214
$379
$2,012
$158
$2,161
$2,099
$1,971
$8,995
a All losses presented in this table are annualized. These estimated annualized losses represent the value of all losses generated over
the time frame of the analysis, discounted to 2007, and then annualized over a 30-year period.
b The total monetizable value of I&E reductions includes use benefits only. EPA evaluated non-use benefits only qualitatively. A
range of recreational fishing benefits is provided, based on the Krinsky and Robb technique to estimated the 95th and 5th percentile
limits on the marginal value per fish predicted by EPA's meta-analysis (see chapter A5 of the RBA). Commercial fishing benefits
are computed based on a range from 0% to 40% of the change in gross revenue (see Chapter A4 of the RBA). To calculate the total
use value columns (low, mean, and high), the high end value for commercial fishing benefits is added to the low, mean, and high
values for recreational fishing benefits, respectively.
0 No significant commercial fishing takes place in the Inland region. Thus, this region is excluded from the commercial fishing
analysis.
Source: U.S. EPA Analysis, 2004.
Tables E2-8 and E2-9 present EPA's estimates of the national and regional values of avoided I&E losses (all
values are in 2003$, discounted at 3% and 7% to beginning of year 2007, and annualized over a 30-year period).
National values of avoided I&E losses at a 3% discount rate are as follows:
*• For the 50 MGD All option, a mean value of $1.9 million per year, with lower and upper bounds of $1.0
million and $3.8 million (see Table E2-8);
»• For the 200 MGD All option, a mean value of $ 1.3 million per year, with lower and upper bounds of $0.6
million and $2.5 million (see Table E2-8); and
*• For the 100 MGD CWB option, a mean value of $ 1.4 million per year, with lower and upper bounds of
$0.7 million and $2.9 million (see Table E2-8).
E2-11
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E2: Summary of Benefits
The 7% discount rate calculations yield smaller values as follows:
*• For the 50 MGD All option, a mean value of $1.5 million per year, with lower and upper bounds of $0.8
million and $3.0 million (see Table E2-9);
*• For the 200 MGD All option, a mean value of $ 1.0 million per year, with lower and upper bounds of $0.5
million and $2.0 million (see Table E2-9); and
*• For the 100 MGD CWB option, a mean value of $ 1.1 million per year, with lower and upper bounds of
$0.6 million and $2.3 million (see Table E2-9).
EPA also considered how benefits might increase if facilities that meet technology requirements in the baseline
optimize their operation and maintenance (O&M) procedures (e.g., by rotating screens more often to reduce
impingement mortality due to the proposed regulation). For this analysis, EPA evaluated facilities that are
expected to (1) install no new technology and (2) meet impingement standards with a 0.5 fps screen. If there was
a 5% increase in the efficacy of O&M at these facilities, the total annualized national benefits from the proposed
regulation would increase by approximately $19,000 for the 50 MGD All option, from $1.897 million to $1.916
million (using the 3% discount rate). If there was a 15% increase in efficacy, the estimated annualized benefits
would increase by over $58,000, to $1.955 million (using the 3% discount rate). Using the 7% discount rate, total
annualized national benefits from the proposed regulation would increase by approximately $18,000 and $55,000,
for the 5% and 15% increases in efficacy, respectively. Therefore, optimization of O&M procedures would result
in 1.0% to 3.5% increase in the estimated total use benefits of the proposed regulation, depending on the assumed
increase in efficacy and the discount rate being used. Optimization of O&M procedures would result in similar
increases in the estimated use benefits under "200 MGD for All Waterbodies" and "100 MGD for Certain
Waterbodies" options.
The majority of the use benefit value is attributable to benefits to recreational anglers from improved catch rates.
As shown in Tables E2-8 and E2-9, use benefits are largest in the Gulf of Mexico for the 50 MGD All and 100
MGD CWB options and the Mid-Atlantic region under the 200 MGD All option. More detailed discussions of
regional benefits under each option are provided in Parts B through G of the RBA.
E2-12
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E2: Summary of Benefits
Table E2-8: Summary of Monetized Benefits by Option (thousands; 2003$; discounted at 3%)a
Region
Annualized
Commercial
Fishing Benefits
Annualized Recreational Fishing
Benefits
Low
Mean High
Total Annualized Value of Monetized
Impingement and Entrainment
Reductions'"
Low Mean High
50 MGD All Option
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inlandd
National Total
*cn U - 4>J
(Tfl (f3
4>U - 4>J
$0 - $25
$0
$0 - $78
$0 - $20
n/a
SO - $132
$10
$29
$235
$0
$249
$157
$162
$843
$24
$63
$497
$0
$558
$316
$306
$1,765
$57
$138
$1,057
$0
$1,254
$621
$577
$3,704
$16
$32
$260
$0
$327
$178
$162
$975
$29
$66
$522
$0
$636
$337
$306
$1,897
$62
$141
$1,082
$0
$1,332
$641
$577
$3,836
200 MGD All Option
California6
North Atlantic
Mid-Atlantic
South Atlantic"
Gulf of Mexico
Great Lakes
Inland4
National Total
$0
$0-$1
$0 - $22
$0
$0 - $43
$0-$14
n/a
$0 - $79
$0
$6
$208
$0
$136
$108
$110
$567
$0
$13
$440
$0
$305
$216
$207
$1,181
$0
$28
$934
$0
$685
$425
$390
$2,463
$0
$7
$230
$0
$179
$122
$110
$647
$0
$14
$462
$0
$347
$230
$207
$1,260
$0
$29
$956
$0
$728
$439
$390
$2,542
100 MGD CWB Option
California6
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland45
National Total
$0
$0-$2
$0 - $22
$0
$0 - $78
$0-$16
n/a
$0-$118
$0
$24
$208
$0
$249
$121
$0
$602
$0
$52
$440
$0
$558
$243
$0
$1,292
$0
$113
$934
$0
$1,254
$478
$0
$2,779
$0
$26
$230
$0
$327
$137
$0
$720
$0
$54
$462
$0
$636
$259
$0
$1,411
$0
$115
$956
$0
$1,332
$494
$0
$2,897
a All benefits presented in this table are annualized. These annualized benefits represent the value of all losses generated over the
time frame of the analysis, discounted to 2007, and then annualized over a 30-year period.
b The total monetizable value of I&E reductions includes use benefits only. EPA evaluated non-use benefits only qualitatively. A
range of recreational fishing benefits is provided, based on the Krinsky and Robb technique to estimated the 95th and 5th
percentile limits on the marginal value per fish predicted by EPA's meta-analysis (see chapter A5 of the RBA). Commercial
fishing benefits are computed based on a range from 0% to 40% of the change in gross revenue (see Chapter A4 of the RBA). To
calculate the total use value columns (low, mean, and high), the high end value for commercial fishing benefits is added to the low,
mean, and high values for recreational fishing benefits, respectively.
0 No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw less
than 50 MGD and therefore would not be required to install technologies to comply with the proposed options.
d No significant commercial fishing takes place in the Inland region. Thus, this region is excluded from the commercial fishing
analysis.
° No I&E reductions are expected in the California region because all potentially regulated facilities in this region withdraw less
than 100 MGD and therefore would not be required to install technologies to comply with the 200 MGD All and the 100 MGD
CWB options.
f The 100 MGD CWB option would not apply national categorical requirements to facilities located on freshwater rivers and
lakes/reservoirs. Thus, no I&E reductions are expected at the potentially regulated facilities in the Inland region.
Source: U.S. EPA Analysis, 2004.
E2-13
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Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E2: Summary of Benefits
Table E2-9: Summary of Monetized Benefits by Option (thousands; 2003$; discounted at 7%)a
Region
Annualized
Commercial
Fishing Benefits
Annualized Recreational Fishing
Benefits
Low
Mean High
Total Annualized Value of Monetized
Impingement and Entrainment
Reductions'"
Low Mean High
50 MGD All Option
California
North Atlantic
Mid-Atlantic
South Atlantic'
Gulf of Mexico
Great Lakes
Inland4
National Total
$0-$4
$0-$2
$0-$19
$0
$0 - $62
$0-$16
n/a
$0 - $104
$9
$22
$181
$0
$198
$122
$133
$665
$20
$49
$382
$0
$444
$246
$251
$1,391
$47
$107
$811
$0
$998
$483
$473
$2,919
$13
$25
$200
$0
$260
$138
$133
$769
$24
$51
$401
$0
$506
$262
$251
$1,495
$51
$109
$830
$0
$1,061
$499
$473
$3,023
200 MGD All Option
California6
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inlandd
National Total
$0
$0
$0 - $17
$0
$0 - $34
$0-$11
n/a
$0 - $62
$0
$4
$158
$0
$108
$83
$90
$443
$0
$10
$334
$0
$243
$166
$170
$922
$0
$21
$709
$0
$545
$326
$321
$1,922
$0
$5
$175
$0
$142
$93
$90
$505
$0
$10
$350
$0
$277
$177
$170
$984
$0
$21
$726
$0
$579
$337
$321
$1,984
100 MGD CWB Option
California6
North Atlantic
Mid-Atlantic
South Atlantic6
Gulf of Mexico
Great Lakes
Inland45
National Total
$0
$0-$2
$0 - $17
$0
$0 - $62
$0-$12
n/a
$0 - $93
$0
$19
$158
$0
$198
$93
$0
$468
$0
$40
$334
$0
$444
$188
$0
$1,006
$0
$88
$709
$0
$998
$368
$0
$2,164
$0
$20
$175
$0
$260
$105
$0
$561
$0
$42
$350
$0
$506
$200
$0
$1,099
$0
$90
$726
$0
$1,061
$381
$0
$2,257
a All benefits presented in this table are annualized. These annualized benefits represent the value of all losses generated over the
time frame of the analysis, discounted to 2007, and then annualized over a 30-year period.
b The total monetizable value of I&E reductions includes use benefits only. EPA evaluated non-use benefits only qualitatively. A
range of recreational fishing benefits is provided, based on the Krinsky and Robb technique to estimated the 95th and 5th
percentile limits on the marginal value per fish predicted by EPA's meta-analysis (see chapter A5 of the RBA). Commercial
fishing benefits are computed based on a range from 0% to 40% of the change in gross revenue (see Chapter A4 of the RBA). To
calculate the total use value columns (low, mean, and high), the high end value for commercial fishing benefits is added to the low,
mean, and high values for recreational fishing benefits, respectively.
c No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw less
than 50 MGD and therefore would not be required to install technologies to comply with the proposed options.
d No significant commercial fishing takes place in the Inland region, and thus this region is excluded from the commercial fishing
benefits analysis.
e No I&E reductions are expected in the California region because all potentially regulated facilities in this region withdraw less
than 100 MGD and therefore would not be required to install technologies to comply with the 200 MGD All and the 100 MGD
CWB options.
f The 100 MGD CWB option would not apply national categorical requirements to facilities located on freshwater rivers and
lakes/reservoirs. Thus, no I&E reductions are expected at the potentially regulated facilities in the Inland region.
Source: U.S. EPA Analysis, 2004.
E2-14
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E2: Summary of Benefits
REFERENCES
U.S. Environmental Protection Agency (U.S. EPA). 2004. The Regional Benefits Assessment for the Proposed
Section 316(b) Rule for Phase III Facilities. EPA-821 -R-04-017. November 2004.
E2-15
-------
Section 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E2: Summary of Benefits
THIS PAGE INTENTIONALLY LEFT BLANK
E2-16
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Appendix to Chapter E2
INTRODUCTION
APPENDIX CONTENTS
E2A-1 Summary of Expected Reductions in I&E . E2A-1
E2A-2 Time Profile of Benefits E2A-3
E2A-3 Total Annualized Monetary Value
of Benefits E2A-9
This appendix supplements Chapter E2 by presenting
the results of the benefits analysis for five other
options evaluated for potential Phase III existing
facilities. For all options, facility counts and other
results only include those potential Phase III existing
facilities that are (1) non-baseline closures and (2)
subject to national categorical requirements under the option. The options are presented in increasing order based
on design intake flow (DIP) applicability threshold and the stringency of compliance requirements. See the main
body of this chapter for a description of methodologies used in this analysis.
E2A-1 SUMMARY OF EXPECTED REDUCTIONS IN I&E
Table E2A-1 presents the number of facilities with technology requirements under the other options, by region,
and EPA's estimates of the percentage by which I&E would be reduced. The table also presents estimates of
regional and national reductions in I&E losses under each option, expressed as age-one equivalents lost and
foregone fishery yield.
Table E2A-1: Expected Reductions in I&E for Existing Phase III Facilities by Option
Region
Number of
Facilities Installing
Technology
Impingement
Entrainment
Age-One
Equivalents
(thousands)
Foregone
Fishery Yield
(thousands; Ibs)
Option 3
California
North Atlantic
Mid-Atlantic
South Atlantic3
Gulf of Mexico
Great Lakes
Inland
National Total
4
4
4
0
11
38
130
190
78%
43%
74%
0%
80%
38%
43%
29%
40%
55%
0%
57%
43%
27%
391
930
13,400
0
8,650
13,200
16,600
53,171
28
18
606
0
1,270
190
171
2,283
Option 4
California
North Atlantic
Mid-Atlantic
South Atlantic3
Gulf of Mexico
Great Lakes
Inland
National Total
4
4
4
0
11
38
69
130
78%
43%
74%
0%
80%
38%
37%
59%
40%
55%
0%
60%
46%
27%
771
930
13,600
0
8,860
13,300
14,800
52,261
56
18
610
0
1,320
192
157
2,353
Option 2
E2A-1
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Table E2A-1: Expected Reductions in I&E for Existing Phase III Facilities by Option
Region
California
North Atlantic
Mid-Atlantic
South Atlantic3
Gulf of Mexico
Great Lakes
Inland
National Total
Number of
Facilities Installing
Technology
4
4
4
0
11
38
69
130
Impingement
78%
43%
74%
0%
80%
38%
37%
Entrainment
59%
40%
55%
0%
60%
46%
27%
Age-One
Equivalents
(thousands)
771
930
13,600
0
8,860
13,300
14,800
52,261
Foregone
Fishery Yield
(thousands; Ibs)
56
18
610
0
1,320
192
157
2,353
Option 1
California
North Atlantic
Mid-Atlantic
South Atlantic3
Gulf of Mexico
Great Lakes
Inland
National Total
4
4
4
0
11
38
134
194
78%
43%
74%
0%
80%
38%
43%
59%
40%
55%
0%
60%
46%
29%
771
930
13,600
0
8,860
13,300
16,900
54,361
56
18
610
0
1,320
192
177
2,373
Option 6
California
North Atlantic
Mid-Atlantic
South Atlantic3
Gulf of Mexico
Great Lakes
Inland
National Total
4
4
5
0
11
61
203
288
78%
43%
75%
0%
80%
41%
45%
59%
40%
56%
0%
60%
48%
30%
771
930
13,700
0
8,860
14,300
17,600
56,161
56
18
615
0
1,320
206
183
2,398
3 No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with
these options.
Source: U.S. EPA Analysis, 2004.
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis Appendix to Chapter E2
E2A-2 TIME PROFILE OF BENEFITS
Tables E2A-2 through E2A-6 below provide the time profiles of regional benefits for Option 3, Option 4, Option
2, Option 1, and Option 6.
E2A-3
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Table E2A-2: Time
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%c
Annualized 3%d
PV 7%c
Annualized 7%d
California
$0
$0
$0
$0
$2
$4
$14
$18
$20
$32
$34
$35
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$36
$34
$32
$21
$18
$15
$4
$2
$1
$574
$29
$285
$23
Profile of
North
Atlantic
$0
$0
$0
$0
$0
$5
$10
$42
$50
$72
$78
$79
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$76
$71
$39
$31
$9
$3
$2
$1,298
$66
$635
$51
Mean Total
Mid-
Atlantic
$0
$0
$0
$0
$7
$15
$100
$170
$443
$574
$610
$638
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$645
$638
$630
$545
$475
$202
$71
$35
$7
$10,281
$525
$4,996
$403
Use Benefits - Option
South
Atlantic"
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
Gulf of
Mexico
$0
$0
$0
$0
$0
$79
$158
$631
$710
$750
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$789
$710
$631
$158
$79
$39
$0
$0
$12,945
$660
$6,523
$526
3 (thousands
Great
Lakes
$0
$0
$0
$oe
$12
$31
$121
$193
$331
$418
$440
$455
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$460
$448
$429
$339
$267
$129
$42
$20
$5
$7,416
$378
$3,661
$295
; 2003$)a
Inland
$0
$0
$0
$7
$34
$101
$238
$292
$354
$380
$387
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$391
$384
$357
$291
$153
$99
$37
$11
$5
$1
$6,542
$334
$3,384
$273
National
Total
$0
$0
$0
$8
$55
$234
$641
$1,346
$1,909
$2,226
$2,338
$2,387
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,403
$2,395
$2,348
$2,169
$1,762
$1,057
$493
$176
$65
$15
$39,056
$1,993
$19,484
$1,570
a Because EPA estimated non-use benefits only qualitatively, the monetary value of benefits includes use values only.
b No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with this
option.
c The present value (PV) is estimated by discounting individual annual values to 2007, using the stated discount rate.
d Annualized benefits represent the value of all benefits generated over the time frame of the analysis, discounted to 2007, and then
annualized over a 30-year period.
e Positive non-zero value less than $500.
Source: U.S. EPA Analysis, 2004.
E2A-4
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Table E2A-3: Time
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%c
Annualized 3%d
PV 7%c
Annualized 7%d
California
$0
$0
$0
$0
$3
$7
$27
$34
$39
$62
$65
$67
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$65
$62
$41
$35
$29
$7
$3
$2
$1,112
$57
$552
$44
Profile of
North
Atlantic
$0
$0
$0
$0
$0
$5
$10
$42
$50
$72
$78
$79
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$76
$71
$39
$31
$9
$3
$2
$1,298
$66
$635
$51
Mean Total
Mid-
Atlantic
$0
$0
$0
$0
$7
$15
$101
$172
$449
$581
$617
$646
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$646
$638
$552
$481
$205
$72
$36
$7
$10,407
$531
$5,057
$408
Use Benefits - Option
South
Atlantic"
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
Gulf of
Mexico
$0
$0
$0
$0
$0
$80
$161
$642
$723
$763
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$723
$642
$161
$80
$40
$0
$0
$13,167
$672
$6,635
$535
4 (thousands
Great
Lakes
$0
$0
$0
$1
$12
$31
$122
$195
$334
$422
$445
$460
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$464
$453
$434
$343
$270
$131
$42
$20
$5
$7,494
$382
$3,699
$298
; 2003$)a
Inland
$0
$0
$0
$7
$33
$96
$231
$275
$329
$349
$354
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$351
$324
$262
$127
$83
$28
$8
$4
$0e
$5,998
$306
$3,113
$251
National
Total
$0
$0
$0
$7
$56
$234
$652
$1,360
$1,924
$2,250
$2,362
$2,413
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,421
$2,373
$2,195
$1,776
$1,068
$504
$179
$66
$16
$39,475
$2,014
$19,692
$1,587
a Because EPA estimated non-use benefits only qualitatively, the monetary value of benefits includes use values only.
b No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with this
option.
c The present value (PV) is estimated by discounting individual annual values to 2007, using the stated discount rate.
d Annualized benefits represent the value of all benefits generated over the time frame of the analysis, discounted to 2007, and then
annualized over a 30-year period.
e Positive non-zero value less than $500.
Source: U.S. EPA Analysis, 2004.
E2A-5
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Table E2A-4: Time
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%c
Annualized 3%d
PV 7%c
Annualized 7%d
California
$0
$0
$0
$0
$3
$7
$27
$34
$39
$62
$65
$67
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$65
$62
$41
$35
$29
$7
$3
$2
$1,112
$57
$552
$44
Profile of
North
Atlantic
$0
$0
$0
$0
$0
$5
$10
$42
$50
$72
$78
$79
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$76
$71
$39
$31
$9
$3
$2
$1,298
$66
$635
$51
Mean Total
Mid-
Atlantic
$0
$0
$0
$0
$7
$15
$101
$172
$449
$581
$617
$646
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$646
$638
$552
$481
$205
$72
$36
$7
$10,407
$531
$5,057
$408
Use Benefits
South
Atlantic"
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
- Option
Gulf of
Mexico
$0
$0
$0
$0
$0
$80
$161
$642
$723
$763
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$723
$642
$161
$80
$40
$0
$0
$13,167
$672
$6,635
$535
2 (thousands;
Great Lakes
$0
$0
$0
$1
$12
$31
$122
$195
$334
$422
$445
$460
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$464
$453
$434
$343
$270
$131
$42
$20
$5
$7,494
$382
$3,699
$298
2003$)a
Inland
$0
$0
$0
$7
$33
$96
$231
$275
$329
$349
$354
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$358
$351
$324
$262
$127
$83
$28
$8
$4
$0e
$5,998
$306
$3,113
$251
National
Total
$0
$0
$0
$7
$56
$234
$652
$1,360
$1,924
$2,250
$2,362
$2,413
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,428
$2,421
$2,373
$2,195
$1,776
$1,068
$504
$179
$66
$16
$39,475
$2,014
$19,692
$1,587
a Because EPA estimated non-use benefits only qualitatively, the monetary value of benefits includes use values only.
b No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with this
option.
c The present value (PV) is estimated by discounting individual annual values to 2007, using the stated discount rate.
d Annualized benefits represent the value of all benefits generated over the time frame of the analysis, discounted to 2007, and then
annualized over a 30-year period.
e Positive non-zero value less than $500.
Source: U.S. EPA Analysis, 2004.
E2A-6
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Table E2A-5: Time
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%c
Annualized 3%d
PV 7%c
Annualized 7%d
California
$0
$0
$0
$0
$3
$7
$27
$34
$39
$62
$65
$67
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$65
$62
$41
$35
$29
$7
$3
$2
$1,112
$57
$552
$44
Profile of
North
Atlantic
$0
$0
$0
$0
$0
$5
$10
$42
$50
$72
$78
$79
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$76
$71
$39
$31
$9
$3
$2
$1,298
$66
$635
$51
Mean Total
Mid-
Atlantic
$0
$0
$0
$0
$7
$15
$101
$172
$449
$581
$617
$646
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$653
$646
$638
$552
$481
$205
$72
$36
$7
$10,407
$531
$5,057
$408
Use Benefits - Option
South
Atlantic"
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
Gulf of
Mexico
$0
$0
$0
$0
$0
$80
$161
$642
$723
$763
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$723
$642
$161
$80
$40
$0
$0
$13,167
$672
$6,635
$535
1 (thousands
Great
Lakes
$0
$0
$0
$1
$12
$31
$122
$195
$334
$422
$445
$460
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$465
$464
$453
$434
$343
$270
$131
$42
$20
$5
$7,494
$382
$3,699
$298
; 2003$)a
Inland
$0
$0
$0
$7
$35
$104
$245
$302
$366
$392
$399
$403
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$404
$396
$369
$300
$159
$102
$38
$12
$5
$1
$6,748
$344
$3,490
$281
National
Total
$0
$0
$0
$8
$57
$242
$666
$1,387
$1,961
$2,292
$2,407
$2,458
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,474
$2,467
$2,417
$2,232
$1,809
$1,087
$514
$182
$67
$16
$40,225
$2,052
$20,068
$1,617
a Because EPA estimated non-use benefits only qualitatively, the monetary value of benefits includes use values only.
b No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with this
option.
c The present value (PV) is estimated by discounting individual annual values to 2007, using the stated discount rate.
d Annualized benefits represent the value of all benefits generated over the time frame of the analysis, discounted to 2007, and then
annualized over a 30-year period.
Source: U.S. EPA Analysis, 2004.
E2A-7
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Table E2A-6: Time
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%c
Annualized 3%d
PV 7%c
Annualized 7%d
California
$0
$0
$0
$0
$3
$7
$27
$34
$39
$62
$65
$67
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$69
$65
$62
$41
$35
$29
$7
$3
$2
$1,112
$57
$552
$44
Profile of
North
Atlantic
$0
$0
$0
$0
$0
$5
$10
$42
$50
$72
$78
$79
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$81
$76
$71
$39
$31
$9
$3
$2
$1,298
$66
$635
$51
Mean Total
Mid-
Atlantic
$0
$0
$0
$0
$7
$15
$101
$172
$449
$582
$622
$651
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$659
$652
$644
$557
$487
$210
$77
$37
$8
$10,492
$535
$5,095
$411
Use Benefits
South
Atlantic"
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
$0
- Option 6
Gulf of
Mexico
$0
$0
$0
$0
$0
$80
$161
$642
$723
$763
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$803
$723
$642
$161
$80
$40
$0
$0
$13,167
$672
$6,635
$535
(thousands;
Great
Lakes
$0
$0
$0
$1
$15
$41
$140
$216
$361
$455
$478
$494
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$499
$498
$484
$458
$359
$283
$138
$45
$21
$5
$8,063
$411
$3,990
$322
2003$)a
Inland
$0
$0
$0
$8
$36
$106
$251
$311
$377
$406
$413
$418
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$419
$411
$383
$312
$168
$107
$41
$13
$5
$1
$6,993
$357
$3,614
$291
National
Total
$0
$0
$0
$9
$61
$254
$690
$1,418
$1,999
$2,340
$2,460
$2,512
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,529
$2,520
$2,468
$2,275
$1,839
$1,112
$530
$190
$70
$17
$41,124
$2,098
$20,521
$1,654
a Because EPA estimated non-use benefits only qualitatively, the monetary value of benefits includes use values only.
b No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with this
option.
c The present value (PV) is estimated by discounting individual annual values to 2007, using the stated discount rate.
d Annualized benefits represent the value of all benefits generated over the time frame of the analysis, discounted to 2007, and then
annualized over a 30-year period.
Source: U.S. EPA Analysis, 2004.
E2A-8
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
E2A-3 TOTAL ANNUALIZED MONETARY VALUE OF BENEFITS
Tables E2A-7 and E2A-8 present EPA's estimates of the value of national and regional reductions in I&E under
the other options analyzed for the proposed rule, using 3% and 7% discount rates. The tables shows for all other
options, that benefits to recreational anglers account for the majority of use benefits. National use benefits are
largest in the Gulf of Mexico region under all five options. More detailed discussions of regional benefits under
each option are provided in Sections B through G of the RBA.
Table E2A-7: Summary of Monetized Benefits for Existing Phase
(thousands; 2003$; discounted at 3%)
Region
III Facilities3
Annualized Use Benefits of I&E Reductions
Annualized
Commercial
Fishing
Recreational Fishing
Low Mean High
Total Use Value"
Low
Mean
High
Option 3
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland4
National Total
$0-$5
$0-$3
$0 - $25
$0
$0 - $80
$0 - $23
n/a
SO - $137
$10
$29
$236
$0
$259
$177
$176
$888
$24
$63
$499
$0
$580
$355
$334
$1,856
$57
$138
$1,061
$0
$1,305
$697
$630
$3,888
$15
$32
$261
$0
$339
$200
$176
$1,024
$29
$66
$525
$0
$660
$378
$334
$1,993
$62
$141
$1,086
$0
$1,385
$720
$630
$4,025
Option 4
California
North Atlantic
Mid-Atlantic
South Atlantic"
Gulf of Mexico
Great Lakes
Inland4
National Total
$0-$10
$0-$3
$0 - $25
$0
$0 - $83
(Tfl *CO'3
4>U - 4>ZJ
n/a
$0 - $144
$20
$29
$239
$0
$263
$178
$162
$892
$47
$63
$506
$0
$589
$359
$306
$1,870
$110
$138
$1,074
$0
$1,325
$704
$577
$3,929
$30
$32
$265
$0
$346
$202
$162
$1,036
$57
$66
$531
$0
$672
$382
$306
$2,014
$120
$141
$1,100
$0
$1,408
$728
$577
$4,073
Option 2
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland4
National Total
$0-$10
$0-$3
$0 - $25
$0
$0 - $83
$0 - $23
n/a
$0 - $144
$20
$29
$239
$0
$263
$178
$162
$892
$47
$63
$506
$0
$589
$359
$306
$1,870
$110
$138
$1,074
$0
$1,325
$704
$577
$3,929
$30
$32
$265
$0
$346
$202
$162
$1,036
$57
$66
$531
$0
$672
$382
$306
$2,014
$120
$141
$1,100
$0
$1,408
$728
$577
$4,073
E2A-9
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Table E2A-7: Summary of Monetized Benefits for Existing Phase III Facilities"
(thousands; 2003$; discounted at 3%)
Region
Annualized Use Benefits of I&E Reductions
Annualized
Commercial
Fishing
Recreational Fishing
Low Mean High
Total Use Value"
Low Mean
High
Option 1
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland4
National Total
$0-$10
$0-$3
$0 - $25
$0
$0 - $83
*cn $.")t.
4>U - 4>ZJ
n/a
SO - $144
$20
$29
$239
$0
$263
$178
$182
$912
$47
$63
$506
$0
$589
$359
$344
$1,908
$110
$138
$1,074
$0
$1,325
$704
$649
$4,001
$30
$32
$265
$0
$346
$202
$182
$1,056
$57
$66
$531
$0
$672
$382
$344
$2,052
$120
$141
$1,100
$0
$1,408
$728
$649
$4,146
Option 6
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland4
National Total
$0-$10
$0-$3
$0 - $26
$0
$0 - $83
$0 - $25
n/a
$0 - $146
$20
$29
$241
$0
$263
$192
$189
$934
$47
$63
$510
$0
$589
$386
$357
$1,952
$110
$138
$1,083
$0
$1,325
$758
$673
$4,087
$30
$32
$267
$0
$346
$217
$189
$1,080
$57
$66
$535
$0
$672
$411
$357
$2,098
$120
$141
$1,109
$0
$1,408
$783
$673
$4,233
a All benefits presented in this table are annualized. These annualized benefits represent the value of all benefits generated over the
time frame of the analysis, discounted to 2007, and then annualized over a 30-year period.
b The total monetizable value of I&E reductions includes use benefits only. EPA evaluated non-use benefits only qualitatively. A
range of recreational fishing benefits is provided, based on the Krinsky and Robb technique to estimated the 95th and 5th
percentile limits on the marginal value per fish predicted by EPA's meta-analysis (see chapter A5 of the RBA). Commercial
fishing benefits are computed based on a range from 0% to 40% of the change in gross revenue (see Chapter A4 of the RBA). To
calculate the total use value columns (low, mean, and high), the high end value for commercial fishing benefits is added to the low,
mean, and high values for recreational fishing benefits, respectively.
0 No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with
these options.
d No significant commercial fishing takes place in the Inland region, and thus this region is excluded from the commercial fishing
benefits analysis.
Source: U.S. EPA Analysis, 2004.
E2A-10
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Table E2A-8: Summary of Monetized Benefits for Existing Phase III
(thousands; 2003$, discounted at 7%)
Region
Facilities"
Annualized Use Benefits of I&E Reductions
Annualized
Commercial
Fishing
Recreational Fishing
Low Mean High
Total Use Value"
Low
Mean
High
Option 3
California
North Atlantic
Mid-Atlantic
South Atlantic'
Gulf of Mexico
Great Lakes
Inlandd
National Total
$0-$4
$0-$2
$0-$19
$0
$0 - $64
$0-$18
n/a
SO - $107
$8
$22
$181
$0
$206
$138
$144
$700
$19
$49
$383
$0
$462
$277
$273
$1,463
$45
$107
$814
$0
$1,038
$543
$515
$3,063
$12
$25
$201
$0
$270
$156
$144
$807
$23
$51
$403
$0
$526
$295
$273
$1,570
$49
$109
$834
$0
$1,102
$561
$515
$3,170
Option 4
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland4
National Total
$0-$8
$0-$2
$0-$19
$0
$0 - $66
$0-$18
n/a
$0-$114
$16
$22
$184
$0
$209
$139
$133
$703
$37
$49
$388
$0
$469
$280
$251
$1,473
$86
$107
$825
$0
$1,055
$549
$473
$3,095
$24
$25
$203
$0
$275
$157
$133
$816
$44
$51
$408
$0
$535
$298
$251
$1,587
$94
$109
$844
$0
$1,120
$567
$473
$3,208
Option 2
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland4
National Total
*cn U - 4)0
$0-$2
$0-$19
$0
$0 - $66
$0-$18
n/a
$0-$114
$16
$22
$184
$0
$209
$139
$133
$703
$37
$49
$388
$0
$469
$280
$251
$1,473
$86
$107
$825
$0
$1,055
$549
$473
$3,095
$24
$25
$203
$0
$275
$157
$133
$816
$44
$51
$408
$0
$535
$298
$251
$1,587
$94
$109
$844
$0
$1,120
$567
$473
$3,208
Option 1
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland4
$0-$8
$0-$2
$0-$19
$0
$0 - $66
$0-$18
n/a
$16
$22
$184
$0
$209
$139
$149
$37
$49
$388
$0
$469
$280
$281
$86
$107
$825
$0
$1,055
$549
$531
$24
$25
$203
$0
$275
$157
$149
$44
$51
$408
$0
$535
$298
$281
$94
$109
$844
$0
$1,120
$567
$531
E2A-11
-------
Section 316(b) Proposed Rule: Phase III -EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E2
Table E2A-8: Summary of Monetized Benefits for Existing Phase III Facilities"
(thousands; 2003$, discounted at 7%)
Annualized Use Benefits of I&E Reductions
Region
National Total
Annualized
Commercial
Fishing
SO- $114
Recreational Fishing
Low
$719
Mean High
$1,504 $3,152
Total Use Value"
Low
$832
Mean
$1,617
High
$3,266
Option 6
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland4
National Total
*cn U - 4)0
$0-$2
$0 - $20
$0
$0 - $66
$0 - $20
n/a
$0-$115
$16
$22
$185
$0
$209
$150
$154
$736
$37
$49
$391
$0
$469
$302
$291
$1,539
$86
$107
$831
$0
$1,055
$592
$549
$3,220
$24
$25
$205
$0
$275
$170
$154
$852
$44
$51
$411
$0
$535
$322
$291
$1,654
$94
$109
$850
$0
$1,120
$612
$549
$3,335
a All benefits presented in this table are annualized. These annualized benefits represent the value of all benefits generated over the
time frame of the analysis, discounted to 2007, and then annualized over a 30-year period.
b The total monetizable value of I&E reductions includes use benefits only. EPA evaluated non-use benefits only qualitatively. A
range of recreational fishing benefits is provided, based on the Krinsky and Robb technique to estimated the 95th and 5th
percentile limits on the marginal value per fish predicted by EPA's meta-analysis (see chapter A5 of the RBA). Commercial
fishing benefits are computed based on a range from 0% to 40% of the change in gross revenue (see Chapter A4 of the RBA). To
calculate the total use value columns (low, mean, and high), the high end value for commercial fishing benefits is added to the low,
mean, and high values for recreational fishing benefits, respectively.
c No I&E reductions are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with
these options.
d No significant commercial fishing takes place in the Inland region, and thus this region is excluded from the commercial fishing
benefits analysis.
Source: U.S. EPA Analysis, 2004.
E2A-12
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E3: Benefit-Cost Analysis
Chapter E3: Comparison of Benefits and
Social Costs
CHAPTER CONTENTS
E3-1 Comparison of Benefits and Social Costs by
Option E3-2
E3-2 Incremental Analysis of Benefits and Social Costs E3-7
E3-3 Break-Even Analysis of Potential Non-Use
Benefits E3-8
Glossary E3-12
References E3-13
Appendix to Chapter E3 E3A-1
INTRODUCTION
This chapter compares total monetized benefits to
total social costs for the options analyzed for the
Proposed Section 316(b) Rule for Phase III
Facilities. Benefits and costs are compared on two
bases: (1) for each of the options analyzed and (2)
incrementally across options. For more information
on the analysis of social costs and benefits, see
Chapter El: Summary of Social Costs and Chapter
E2: Summary of Benefits.
EPA considered and analyzed three proposed options and five other options for Phase III existing facilities
(Manufacturers and Generators) in developing the proposed rule. New offshore oil and gas extraction facilities
were excluded from the comparison of benefits and costs because EPA was unable to estimate benefits for this
industry segment. This chapter presents results for the three proposed options for existing facilities: the "50 MOD
for All Waterbodies" option ("50 MOD All"), the "200 MOD for All Waterbodies" option ("200 MOD All"), and
the "100 MOD for Certain Waterbodies" option ("100 MOD CWB"). Summary results for five other options
evaluated in regulation development are presented in the appendix to this chapter.
Table E3-1 shows compliance action assumptions for the three proposed options based on the performance
standard each facility would need to meet (depending on each facility's waterbody type, design intake flow,
capacity utilization, and annual intake flow as a percent of source waterbody mean annual flow) and its baseline
technologies in-place.
Table E3-1: Number of Existing Phase III Facilities by Compliance Action"
Facility Compliance Action
Total Facilities Potentially Subject to Regulation
(excluding baseline closures)
Facilities Subject to Best Professional Judgment
Facilities Subject to National Categorical Requirements
No compliance actionb
Impingement controls only
Impingement and entrainment controls
50 MGD All
603
468
136
32
37
66
200 MGD All
603
579
25
2
3
19
100 MGD CWB
603
584
19
1
0
18
a Alternative less stringent requirements based on site-specific assessments of costs, or costs and benefits are allowed. Estimation
of compliance responses is uncertain because the number of facilities requesting alternative less stringent requirements based on
these site-specific assessments is unknown.
b These facilities meet compliance requirements in the baseline and thus would require no action to comply with the regulation.
Source: U.S. EPA Analysis, 2004.
E3-1
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E3: Benefit-Cost Analysis
E3-1 COMPARISON OF BENEFITS AND SOCIAL COSTS BY OPTION
The preceding chapters, Chapter El: Summary of Social Costs and Chapter E2: Summary of Benefits, present
estimates of total social cost and benefit for the three proposed and five other options evaluated in developing the
316(b) Phase III regulation. Based on these values of estimated benefits and social costs, EPA calculated the net
monetized benefit to society of each option.
As documented in Chapter E2: Summary of Benefits, the monetized benefit values developed by EPA for the
316(b) Phase III regulation, and included in the net benefits calculation presented in this chapter, include only use
benefit values for commercial and recreational fishing. EPA was unable to estimate, at this time, a monetized
value of non-use benefits from reduced impingement and entrainment (I&E). As a result, the monetized benefit
value that is compared with the estimated value of total social cost in this benefit-cost comparison, is narrow in
conceptual scope and omits a benefit category with potentially large monetary value. Specifically, the Agency
was unable to monetize benefits for 96.7% of the age-one equivalent losses of all commercial, recreational, and
forage species considered for the options for Phase III existing facilities. As a result, the benefits estimates used
in this analysis represent the benefits associated with only about 3.3% of the total avoided loss in age-one
equivalents. Accordingly, the net benefit values presented in this chapter are based on comparison of a
substantially complete estimate of costs to society with a substantially incomplete estimate of benefits.
Table E3-2, below, presents EPA's estimates of use benefits and social costs for the three proposed options for
existing facilities, at 3% and 7% discount rates. At a 3% discount rate, EPA estimates that social costs exceed use
benefits by $45.4 million under the 50 MOD All option, $21.5 million underthe 200 MOD All option, and $16.2
million underthe 100 MOD CWB option. At a 7% discount rate, social costs exceed use benefits by $48.6
million underthe 50 MGD All option, $23.1 million underthe 200 MGD All option, and $17.2 million underthe
100 MGD CWB option. These values are all in dollars as of mid-year 2003 and are based on the discounting of
costs and benefits to beginning of year 2007, the assumed date when the proposed rule would take effect.
E3-2
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E3: Benefit-Cost Analysis
Table E3-2: Total Benefits, Social Costs, and Net Benefits for Existing Phase III Facilities
by Option (millions; 2003$)
Option
Total Monetized Use Benefits3
Low
Mean High
Total Social
Costs
Net Benefits Based on
Use Benefits Only"
Low Mean High
3% discount rate
50 MOD All
200 MOD All
100 MOD CWB
$1.0
$0.6
$0.7
$1.9
$1.3
$1.4
$3.8
$2.5
$2.9
$47.3
$22.8
$17.6
($46.4)
($22.1)
($16.9)
($45.4)
($21.5)
($16.2)
($43.5)
($20.2)
($14.7)
7% discount rate
50 MOD All
200 MOD All
100 MOD CWB
$0.8
$0.5
$0.6
$1.5
$1.0
$1.1
$3.0
$2.0
$2.3
$50.1
$24.1
$18.3
($49.3)
($23.6)
($17.7)
($48.6)
($23.1)
($17.2)
($47.1)
($22.1)
($16.0)
a The total monetizable value of I&E reductions includes use benefits only. EPA evaluated non-use benefits only qualitatively. The
range (low, mean, and high) of annualized use values is computed by adding the high end value for commercial fishing benefits
(based on assumed producer surplus of 40% of gross revenue) to the low, mean, and high values from recreational fishing benefits,
respectively (see Chapter A4 of the RBA).
b Net benefits are computed by subtracting total annualized costs from total annual use benefits. The net benefits presented here are
based on the comparison of a substantially complete measure of social costs with an incomplete measure of benefits and should be
interpreted with caution.
Source: U.S. EPA Analysis, 2004.
This comparison of fairly complete costs and incomplete benefits provides an incomplete assessment of net
benefits to society. The proposed options are expected to provide benefits that were not accounted for in the
benefits analysis. These benefits include reduced I&E losses offish, shellfish, and other aquatic organisms,
which, in turn, increase the numbers of individuals present, increase local and regional fishery populations (a
subset of which was accounted for in the benefits analysis), and ultimately contribute to the enhanced
environmental functioning of affected waterbodies (rivers, lakes, estuaries, and oceans) and associated
ecosystems. See Chapter A6 of the Regional Benefits Assessment for the Proposed Section 316(b) Rule for Phase
III Facilities (RBA) for a detailed description of the ecological benefits from reduced I&E (U.S. EPA, 2004).
Taking into account these additional unquantified benefits of improved fisheries and aquatic ecosystem
functioning, the Agency believes that the total benefits to society of the proposed rule for Phase III existing
facilities could potentially exceed total social costs.
Tables E3-3 and E3-4 present total net benefits for existing Phase III facilities by option and region, discounted at
3% and 7%, respectively. As reported in Tables E3-3 and E3-4, EPA estimates that costs are largest relative to
benefits in the Inland region for the 50 MGD All and 200 MGD All options, and in the Gulf of Mexico region for
the 100 MGD CWB option. Conversely, costs outweigh benefits by the least amount in the California region for
the 50 MGD All option, in the North Atlantic region for the 200 MGD All option, and in the Mid-Atlantic region
for the 100 MGD CWB option.
E3-3
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E3: Benefit-Cost Analysis
Table E3-3: Total Net Benefits for Existing Phase III Facilities
by Option and Region (millions; 2003$, discounted at 3%)
Option
Net Benefits Based on Use Benefits Only3
„ ,.„ . North
California . ,,
Atlantic
A,T-J A.H <,• South Gulf of Great T , ,
Mid-Atlantic . ,, ,. b ,„ . T , Inland
Atlantic Mexico Lakes
National
Total
Low
50 MOD All
200 MOD All
100 MOD CWB
($0.8)
$0.0
$0.0
($4.5)
($0.5)
($2.0)
($2.3)
($1.7)
($1.7)
$0.0
$0.0
$0.0
($8.7)
($3.6)
($8.7)
($9.9)
($3.9)
($4.3)
($19.5)
($12.2)
$0.0
($46.4)
($22.1)
($16.9)
Mean
50 MOD All
200 MOD All
100 MOD CWB
($0.8)
$0.0
$0.0
($4.5)
($0.5)
($1.9)
($2.0)
($1.5)
($1.5)
$0.0
$0.0
$0.0
($8.4)
($3.5)
($8.4)
($9.7)
($3.8)
($4.2)
($19.4)
($12.1)
$0.0
($45.4)
($21.5)
($16.2)
High
50 MOD All
200 MOD All
100 MOD CWB
($0.8)
$0.0
$0.0
($4.4)
($0.5)
($1.9)
($1.5)
($1.0)
($1.0)
$0.0
$0.0
$0.0
($7.7)
($3.1)
($7.7)
($9.4)
($3.6)
($4.0)
($19.1)
($11.9)
$0.0
($43.5)
($20.2)
($14.7)
a Net benefits are computed by subtracting total annualized costs from total annual use benefits. The net benefits presented here are
based on the comparison of a substantially complete measure of social costs with an incomplete measure of benefits and should be
interpreted with caution.
b No benefits or costs are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw less
than 50 MGD and therefore would not be required to install technologies to comply with the proposed options.
Source: U.S. EPA Analysis, 2004.
E3-4
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E3: Benefit-Cost Analysis
Table E3-4: Total Net Benefits for Existing Phase III Facilities
by Option and Region (millions; 2003$, discounted at 7%)
Option
Net Benefits Based on Use Benefits Only3
„ ,.„ . North
California ...
Atlantic
Mid-Atlantic
South Gulf of „, ,T , T i j
... ,. b ,„ . Great Lakes Inland
Atlantic Mexico
National
Total
Low
50 MOD All
200 MOD All
100 MOD CWB
($1.0)
$0.0
$0.0
($5.0)
($0.5)
($2.0)
($2.2)
($1.6)
($1.6)
$0.0
$0.0
$0.0
($9.9)
($4.2)
($9.9)
($10.1)
($3.6)
($4.0)
($20.5)
($13.6)
$0.0
($49.3)
($23.6)
($17.7)
Mean
50 MOD All
200 MOD All
100 MOD CWB
($0.9)
$0.0
$0.0
($5.0)
($0.5)
($2.0)
($2.0)
($1.4)
($1.4)
$0.0
$0.0
$0.0
($9.7)
($4.1)
($9.7)
($9.9)
($3.5)
($3.9)
($20.4)
($13.5)
$0.0
($48.6)
($23.1)
($17.2)
High
50 MOD All
200 MOD All
100 MOD CWB
($0.9)
$0.0
$0.0
($4.9)
($0.4)
($1.9)
($1.6)
($1.1)
($1.1)
$0.0
$0.0
$0.0
($9.1)
($3.8)
($9.1)
($9.7)
($3.3)
($3.7)
($20.2)
($13.4)
$0.0
($47.1)
($22.1)
($16.0)
a Net benefits are computed by subtracting total annualized costs from total annual use benefits. The net benefits presented here are
based on the comparison of a substantially complete measure of social costs with an incomplete measure of benefits and should be
interpreted with caution.
b No benefits or costs are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw less
than 50 MGD and therefore would not be required to install technologies to comply with the proposed options.
Source: U.S. EPA Analysis, 2004.
Table E3-5, on the following page, provides additional detail on the net benefits calculation. Table E3-5
compiles, for the three proposed options, the time profiles of benefits and costs as presented in the preceding
chapters. The table also reports the calculated present and annualized values of benefits and costs at 3% and 7%
discount rates.
E3-5
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E3: Benefit-Cost Analysis
Table E3-5: Time Profile of Benefits and Social Costs for Existing Phase III Facilities
(millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%
Annualized 3%
PV 7%
Annualized 7%
50 MGD All
Monetized
Benefits
$0.00
$0.00
$0.00
$0.01
$0.05
$0.22
$0.63
$1.28
$1.83
$2.12
$2.22
$2.27
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.29
$2.28
$2.23
$2.06
$1.66
$1.01
$0.46
$0.17
$0.06
$0.01
$37.18
$1.90
$18.56
$1.50
Total Cost
(excl. O&G)
$3.3
$10.2
$15.4
$172.6
$180.5
$74.4
$110.8
$22.2
$22.7
$18.6
$18.6
$15.3
$19.0
$44.5
$81.7
$29.2
$58.2
$22.1
$22.7
$18.6
$18.6
$15.3
$19.0
$44.5
$81.7
$29.2
$58.2
$22.1
$22.7
$18.6
$18.6
$15.3
$14.4
$12.1
$6.3
$4.1
$0.5
$0.0
$0.0
$0.0
$0.0
$0.0
$955.8
$47.3
$665.0
$50.1
200 MGD
Monetized
Benefits
$0.00
$0.00
$0.00
$0.00
$0.03
$0.11
$0.34
$0.70
$1.16
$1.40
$1.47
$1.52
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.53
$1.50
$1.42
$1.19
$0.83
$0.37
$0.13
$0.06
$0.01
$24.70
$1.26
$12.21
$0.98
All
Total Cost
(excl. O&G)
$0.2
$1.4
$2.1
$129.1
$83.8
$12.3
$45.8
$7.5
$8.5
$7.5
$9.0
$7.5
$7.3
$12.7
$40.0
$14.6
$45.8
$7.4
$8.5
$7.5
$9.0
$7.5
$7.3
$12.7
$40.0
$14.6
$45.8
$7.4
$8.5
$7.5
$9.0
$7.5
$7.1
$6.8
$3.9
$3.1
$0.4
$0.0
$0.0
$0.0
$0.0
$0.0
$459.7
$22.8
$320.3
$24.1
100 MGD
Monetized
Benefits
$0.00
$0.00
$0.00
$0.00
$0.01
$0.09
$0.27
$0.85
$1.32
$1.57
$1.66
$1.70
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.72
$1.71
$1.62
$1.45
$0.87
$0.40
$0.15
$0.05
$0.01
$27.65
$1.41
$13.63
$1.10
CWB
Total Cost
(excl. O&G)
$0.6
$3.8
$3.9
$9.0
$139.7
$11.5
$35.3
$5.4
$8.3
$5.4
$6.6
$5.3
$5.2
$8.3
$41.4
$12.2
$35.4
$5.4
$8.3
$5.4
$6.6
$5.3
$5.2
$8.3
$41.4
$12.2
$35.4
$5.4
$8.3
$5.4
$6.6
$5.3
$4.8
$4.7
$2.2
$1.3
$0.4
$0.0
$0.0
$0.0
$0.0
$0.0
$355.9
$17.6
$242.5
$18.3
Source: U.S. EPA Analysis, 2004.
E3-6
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E3: Benefit-Cost Analysis
E3-2 INCREMENTAL ANALYSIS OF BENEFITS AND SOCIAL COSTS
In addition to comparing benefits and costs for each proposed option, as presented in the preceding section, EPA
also analyzed the benefits and costs of the three options on an incremental basis. The comparison in the
preceding section addresses the simple quantitative relationship between estimated benefits and costs for each
option by itself: for a given option, which is greater - benefits or costs - and what is the amount of difference? In
contrast, incremental analysis looks at the differential relationship of benefits and costs across options and poses a
different question: as increasingly more costly options are considered, by what amount do benefits, costs, and net
benefits change from option to option? Incremental benefit-cost analysis provides insight into the net gain to
society from imposing increasingly more costly requirements and may aid regulatory decision-makers in choosing
among a set of regulatory proposals that otherwise have a similar quantitative relationship between benefits and
costs based on a one-option-at-a-time comparison.
The Agency conducted the incremental benefit-cost analysis by calculating, for each option, the change in net
benefits, from option to option, in moving from the least costly option to successively more costly options. As
described previously, the three proposed options - the 50 MOD All, 200 MOD All, and 100 MOD CWB
options - differ in terms of design intake flow (DIP) applicability threshold and affected waterbodies. Thus the
difference in benefits and costs across the options derives from the number of facilities each option is expected to
cover and what types of waterbodies are affected. As reported in Table E3-6, at a 3% discount rate, the
incremental change in net benefits in moving from the 100 MGD CWB option to the 200 MGD All option is -$5.3
million, and from the 200 MGD All option to the 50 MGD All option, is -$23.9 million. Thus, for both
incremental steps, calculated net benefits become increasingly more negative but the step from the 200 MGD All
option to the 50 MGD All option is more costly to society, on a net benefit basis, than the step from the 100 MGD
CWB option to the 200 MGD All option. The same pattern of change occurs for the calculations under a 7%
discount rate: the incremental change in net benefits in moving from the 100 MGD CWB option to the 200 MGD
All option is -$6.0 million, and from the 200 MGD All option to the 50 MGD All option, is -$25.4 million.
Table E3-6: Incremental Benefit-Cost Analysis for Existing Phase III Facilities (millions; 2003$)
Option3
Net Benefits Based on
Use Benefits Only"
Low Mean High
Incremental Net Benefits0
Low Mean High
3% discount rate
100 MGD CWB
200 MGD All
50 MGD All
($16.9)
($22.1)
($46.4)
($16.2)
($21.5)
($45.4)
($14.7)
($20.2)
($43.5)
n/a
($5.2)
($24.2)
n/a
($5.3)
($23.9)
n/a
($5.5)
($23.3)
7% discount rate
100 MGD CWB
200 MGD All
50 MGD All
($17.7)
($23.6)
($49.3)
($17.2)
($23.1)
($48.6)
($16.0)
($22.1)
($47.1)
n/a
($5.9)
($25.7)
n/a
($6.0)
($25.4)
n/a
($6.1)
($24.9)
a Options are presented in order of increasing applicability, based on the number of facilities regulated.
b Net benefits are computed by subtracting total annualized costs from total annual use benefits. The net benefits presented here are
based on the comparison of a substantially complete measure of social costs with an incomplete measure of benefits and should be
interpreted with caution.
c Incremental net benefits are equal to the difference between net benefits of a given option and the net benefits of the previous less
stringent option.
Source: U.S. EPA Analysis, 2004.
E3-7
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E3: Benefit-Cost Analysis
E3-3 BREAK-EVEN ANALYSIS OF POTENTIAL NON-USE BENEFITS
As described in Section E3-1, above, EPA's monetized estimates of benefits for the 316(b) Phase III regulation
consider only the use benefit values for commercial and recreational fishing, and exclude non-use benefits.
Estimating non-use benefit values is a very challenging and uncertain exercise, particularly when primary
research using stated preference methods is not a feasible option (as is the case for the proposed rulemaking). In
Chapter A3 of the RBA, EPA described alternative approaches for developing non-use benefit estimates based on
benefits transfer and associated methods. Because of the uncertainty in estimating the non-use benefits of the
options evaluated for the proposed rule, the Agency assessed non-use benefits only qualitatively (see Chapter A6
of RBA for a qualitative assessment of non-use benefits). As a result, the comparison of costs and benefits
presented in Sections E3-1 and E3-2 involves a substantially more complete accounting of costs than of benefits.
On the basis of this limited, incomplete accounting of benefits and costs, EPA found that costs exceed use benefits
for each of the three proposed options.
Although EPA did not specifically estimate the non-use benefits of the 316(b) Phase III regulation, it is possible
to calculate the amount of non-use benefits that would be needed for the regulation's benefits to equal the
estimated total costs (the "break-even" non-use benefits value). Regulatory decision-makers may then judge the
reasonableness of these required values in assessing whether the regulation is likely, overall, to achieve total
benefits to society that exceed costs.
To perform this break-even analysis, EPA subtracted the estimated commercial and recreational use benefits from
the estimated annual costs. EPA then used this required residual to calculate the non-use benefit value, in terms
of annual willingness-to-pay (WTP), needed for total benefits to equal total costs. This calculation was done in
two different ways: (1) on a per household basis and (2) on a per age-1 equivalent basis. EPA performed this
analysis using the regional studies framework as described in the RBA. This approach assumes that all of the
facilities in the sample weight of a given sample facility are in the same benefits analysis region as the sample
facility.
For the WTP per household analysis, this approach also assumes that the size and other characteristics of potential
use and non-use benefit populations, which are assessed for the sample facility, may be extended to the weight of
the sample facility. Although this assumption embeds considerable uncertainty, it permits the estimation of a non-
use benefit population for each facility, which may then be used to calculate the WTP value by household that
equates total benefits and total costs, on a sample-weighted basis, for each option. For this analysis, EPA
assumed that only anglers fishing in the region and households within a 25-mile radius of the facility hold non-use
values for the affected resources (BLS, 2000).:
At the national level, EPA estimated the following (see Table E3-7 below):
*• WTP per household. Under the 50 MGD All option, non-use benefit values per household would have
to be $1.99 (3% discount rate) and $2.13 (7% discount rate) for total annual benefits to equal total
annualized costs. Under the 200 MGD All option, which applies to the next smaller set of facilities, these
values decrease to $1.87 (3% discount rate) and $2.01 (7% discount rate). Under the 100 MGD CWB
option, which applies to the smallest set of facilities of the three proposed options, these values decrease,
to $1.43 (3% discount rate) and $1.52 (7% discount rate).
*• WTP per age-1 equivalent. Under the 50 MGD All option, non-use benefit values per age-1 equivalent
would have to be $0.92 (3% discount rate) and $0.98 (7% discount rate) for total annual benefits to equal
total annualized costs. Under the 200 MGD All option, which applies to the next smaller set of facilities,
these values decrease to $0.63 (3% discount rate) and $0.68 (7% discount rate). Under the 100 MGD
CWB option, which applies to the smallest set of facilities of the three proposed options, these values
decrease, to $0.54 (3% discount rate) and $0.58 (7% discount rate).
1 See chapter E2 for details on the estimation of age-1 equivalents.
E3-8
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E3: Benefit-Cost Analysis
Table E3-7: Estimated Value of Non-Use Benefits Required for Total Benefits to Equal Total Social
Costs for Existing Phase III Facilities - Break-Even Analysis (2003$)
Option
Total
Social
Costs
(millions)
Mean Value
of Use
Benefits
(millions)
Non-Use
Benefits
Necessary to
Break Even3
(millions)
Number of
Households
Break-Even
WTP per
Household
($)
Reduction of
I&E Losses
(Age-1
Equivalents)
Break-Even
Value per
Age-1
Equivalent
($)
3% Discount Rate
50 MOD All
200 MOD All
100 MOD CWB
$47.3
$22.8
$17.6
$1.9
$1.3
$1.4
$45.4
$21.5
$16.2
22,784,450
11,524,368
11,328,241
$1.99
$1.87
$1.43
49,493,000
34,038,000
29,774,000
$0.92
$0.63
$0.54
7% Discount Rate
50 MOD All
200 MOD All
100 MOD CWB
$50.1
$24.1
$18.3
$1.5
$1.0
$1.1
$48.6
$23.1
$17.2
22,784,450
11,524,368
11,328,241
$2.13
$2.01
$1.52
49,493,000
34,038,000
29,774,000
$0.98
$0.68
$0.58
a The non-use benefits category in this table may include some categories of use values that were not taken into account by the
recreation and commercial fishing analyses.
b The non-use value per age-1 equivalent reported in the table includes the value placed on the fish's contribution to non-use
ecological services (e.g., population, health, sustainability, and overall ecosystem health).
Source: U.S. EPA Analysis, 2004.
EPA also calculated the annual WTP needed on a per household basis and a per age-1 equivalent basis at the
regional level (see Tables E3-8 and E3-9 below). EPA estimated the following:
*• WTP per household. The Gulf of Mexico region has the highest estimated annual break-even WTP
values per household with $6.38, $13.83, and $6.38 (3% discount rate) and $7.34, $16.31, and $7.34 (7%
discount rate) under the 50 MOD All, the 200 MOD All, and the 100 MOD CWB options, respectively.
The Mid-Atlantic region has the lowest estimated annual break-even WTP values per household with
$0.35, $0.27, and $0.27 (3% discount rate) and $0.35, $0.25, and $0.25 (7% discount rate) under the 50
MOD All, the 200 MOD All, and the 100 MOD CWB options, respectively.
»• WTP per age-1 equivalent. The North Atlantic region has the highest estimated annual break-even
WTP value per age-1 equivalent with $4.84, $2.51, and $2.56 (3% discount rate) and $5.37, $2.28, and
$2.62 (7% discount rate) under the 50 MOD All, the 200 MOD All, and the 100 MOD CWB options,
respectively. The Mid-Atlantic region has the lowest estimated annual break-even WTP values per age-1
equivalent with $0.15, $0.13, and $0.13 (3% discount rate) and $0.15, $0.12, and $0.12 (7% discount
rate) under the 50 MOD All, the 200 MOD All, and the 100 MOD CWB options, respectively.
E3-9
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E3: Benefit-Cost Analysis
Table E3-8: Estimated Value of Non-Use Benefits Required for Total Benefits to Equal Total Social
Costs for Existing Phase III Facilities - Break-Even Analysis by Regions (2003$, discounted at 3%)
Option
Total Social
Costs
(millions)
Mean Value
of Use
Benefits
(millions)
Non-Use
Benefits
Necessary to
Break Even3
(millions)
Number of
Households
Break-Even
WTP per
Household
(S)
Reduction of
I&E Losses
(Age-1
Equivalents)
Break-Even
Value per
Age-1
Equivalent
(S)
50MGDAU
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$0.8
$4.6
$2.6
$0.0
$9.1
$10.1
$19.7
$47.3
$0.0d
$0.1
$0.5
$0.0
$0.6
$0.3
$0.3
$1.9
$0.8
$4.5
$2.0
$0.0
$8.4
$9.7
$19.4
$45.4
1,166,416
2,129,180
5,887,031
0
1,322,480
4,064,660
8,214,682
22,784,450
$0.70
$2.11
$0.35
$0.00
$6.38
$2.40
$2.36
$1.99
383,000
930,000
13,400,000
0
8,380,000
11,600,000
14,800,000
49,493,000
$2.14
$4.84
$0.15
$0.00
$1.01
$0.84
$1.31
$0.92
200 MOD All
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$0.0
$0.5
$2.0
$0.0
$3.8
$4.1
$12.3
$22.8
$0.0
$o.od
$0.5
$0.0
$0.3
$0.2
$0.2
$1.3
$0.0
$0.5
$1.5
$0.0
$3.5
$3.8
$12.1
$21.5
0
1,699,855
5,603,551
0
251,666
2,388,297
1,580,998
11,524,368
$0.00
$0.29
$0.27
$0.00
$13.83
$1.60
$7.65
$1.87
0
198,000
11,900,000
0
4,580,000
7,710,000
9,650,000
34,038,000
$0.00
$2.51
$0.13
$0.00
$0.76
$0.50
$1.25
$0.63
100MGDCWB
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$0.0
$2.0
$2.0
$0.0
$9.1
$4.5
$0.0
$17.6
$0.0
$0.1
$0.5
$0.0
$0.6
$0.3
$0.0
$1.4
$0.0
$1.9
$1.5
$0.0
$8.4
$4.2
$0.0
$16.2
0
1,989,096
5,603,551
0
1,322,480
2,413,114
0
11,328,241
$0.00
$0.97
$0.27
$0.00
$6.38
$1.74
$0.00
$1.43
0
754,000
11,900,000
0
8,380,000
8,740,000
0
29,774,000
$0.00
$2.56
$0.13
$0.00
$1.01
$0.48
$0.00
$0.54
a The non-use benefits category in this table may include some categories of use values that were not taken into account by the
recreation and commercial fishing analyses.
b The non-use value per age-1 equivalent reported in the table includes the value placed on the fish's contribution to non-use
ecological services (e.g., population, health, sustainability, and overall ecosystem health).
0 No benefits or costs are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw
less than 50 MGD and therefore would not be required to install technologies to comply with the proposed options.
d Positive non-zero value less than $50,000.
Source: U.S. EPA Analysis, 2004.
E3-10
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
E3: Benefit-Cost Analysis
Table E3-9: Estimated Value of Non-Use Benefits Required for Total Benefits to Equal Total Social
Costs for Existing Phase III Facilities - Break-Even Analysis by Regions (2003$, discounted at 7%)
Option
Total
Social
Costs
(millions)
Mean Value
of Use
Benefits
(millions)
Non-Use
Benefits
Necessary to
Break Even3
(millions)
Number of
Households
Break-Even
WTP per
Household
($)
Reduction of
I&E Losses
(Age-1
Equivalents)
Break-Even
Value per
Age-1
Equivalent1"
($)
50MGDAU
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland
National Total
$1.0
$5.0
$2.4
$0.0
$10.2
$10.2
$20.6
$50.1
$o.od
$0.1
$0.4
$0.0
$0.5
$0.3
$0.3
$1.5
$0.9
$5.0
$2.0
$0.0
$9.7
$9.9
$20.4
$48.6
1,166,416
2,129,180
5,887,031
0
1,322,480
4,064,660
8,214,682
22,784,450
$0.81
$2.35
$0.35
$0.00
$7.34
$2.45
$2.48
$2.13
383,000
930,000
13,400,000
0
8,380,000
11,600,000
14,800,000
49,493,000
$2.48
$5.37
$0.15
$0.00
$1.16
$0.86
$1.38
$0.98
200MGDAII
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland
National Total
$0.0
$0.5
$1.8
$0.0
$4.4
$3.7
$13.7
$24.1
$0.0
$o.od
$0.4
$0.0
$0.3
$0.2
$0.2
$1.0
$0.0
$0.5
$1.4
$0.0
$4.1
$3.5
$13.5
$23.1
0
1,699,855
5,603,551
0
251,666
2,388,297
1,580,998
11,524,368
$0.00
$0.27
$0.25
$0.00
$16.31
$1.47
$8.56
$2.01
0
198,000
11,900,000
0
4,580,000
7,710,000
9,650,000
34,038,000
$0.00
$2.28
$0.12
$0.00
$0.90
$0.45
$1.40
$0.68
100MGDCWB
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of Mexico
Great Lakes
Inland
National Total
$0.0
$2.0
$1.8
$0.0
$10.2
$4.1
$0.0
$18.3
$0.0
$o.od
$0.4
$0.0
$0.5
$0.2
$0.0
$1.1
$0.0
$2.0
$1.4
$0.0
$9.7
$3.9
$0.0
$17.2
0
1,989,096
5,603,551
0
1,322,480
2,413,114
0
11,328,241
$0.00
$0.99
$0.25
$0.00
$7.34
$1.62
$0.00
$1.52
0
754,000
11,900,000
0
8,380,000
8,740,000
0
29,774,000
$0.00
$2.62
$0.12
$0.00
$1.16
$0.45
$0.00
$0.58
a The non-use benefits category in this table may include some categories of use values that were not taken into account by the
recreation and commercial fishing analyses.
b The non-use value per age-1 equivalent reported in the table includes the value placed on the fish's contribution to non-use
ecological services (e.g., population, health, sustainability, and overall ecosystem health).
0 No benefits or costs are expected in the South Atlantic region because all potentially regulated facilities in this region withdraw
less than 50 MGD and therefore would not be required to install technologies to comply with the proposed options.
d Positive non-zero value less than $50,000.
Source: U.S. EPA Analysis, 2004.
E3-11
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E3: Benefit-Cost Analysis
GLOSSARY
opportunity cost: The lost value of alternative uses of resources (capital, labor, and raw materials) used in
regulatory compliance.
social cost: The costs incurred by society as a whole as a result of the proposed rule. Social costs do not
include costs that are transfers among parties that do not represent a new cost overall.
E3-12
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E3: Benefit-Cost Analysis
REFERENCES
U.S. Department of Commerce, Bureau of the Census, Bureau of Labor Statistics (BLS). 2000. "Summary File
1." Available at: http://www.census.gov/Press-Release/www/2001/sumfilel.html.
U.S. Environmental Protection Agency (U.S. EPA). 2004. The Regional Benefits Assessment for the Proposed
Section 316(b) Rule for Phase III Facilities. EPA-821 -R-04-017. November 2004.
E3-13
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis E3: Benefit-Cost Analysis
THIS PAGE INTENTIONALLY LEFT BLANK
E3-14
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§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Appendix to Chapter E3
INTRODUCTION
APPENDIX CONTENTS
E3A-1 Comparison of Benefits and Social Costs by
Option E3A-1
E3A-2 Incremental Analysis of Benefits and Social
Costs E3A-7
E3 A-3 Break-Even Analysis of Potential Non-Use
Benefits E3A-7
This appendix presents results from EPA's analysis
of the benefits and costs of the 316(b) Phase III
regulation for five additional options evaluated for
Phase III existing facilities. Results are presented for
the comparison of benefits and costs and the
breakeven assessment of non-use benefits. As
discussed previously in Chapter E3, the benefit and
cost values presented in this appendix pertain only to
the Manufacturers and Electric Generators segments of the industries subject to Phase III regulation.
EPA estimated the compliance response for each facility under each of the other options (see Table E3A-1,
below). In this table and the following tables, the options are listed in order of increasing cost, which reflects the
breadth of regulatory coverage based on design intake flow applicability threshold and the stringency of
compliance requirements. For a description of this analysis, see section E3-1 above.
Table E3A-1: Number of Existing Phase III Facilities by Compliance Action"
Facility Compliance Action
Total Facilities Potentially Subject to Regulation
(excluding baseline closures)
Facilities Subject to Best Professional Judgment
Facilities Subject to National Categorical
Requirements
No compliance actionb
Impingement controls only
Impingement and entrainment controls
Option 3
603
235
368
202
100
66
Option 4
603
415
189
59
39
91
Option 2
603
235
368
184
93
91
Option 1
603
251
353
160
73
120
Option 6
603
0
603
317
114
172
a Alternative less stringent requirements based on a site-specific assessment of costs, or costs and benefits, are allowed. The
estimate of number of facilities meeting specific requirements is uncertain because the number of facilities requesting alternative
less stringent requirements based on site-specific assessments is unknown.
b These facilities already meet compliance requirements.
Source: U.S. EPA Analysis, 2004.
E3A-1 COMPARISON OF BENEFITS AND SOCIAL COSTS BY OPTION
Table E3A-2 on the following page reports benefits, costs, and net benefits for all five other options. For further
information on this analysis, see section E3-1, above.
E3A-1
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Table E3A-2: Total Benefits, Social Costs, and Net Benefits for Existing Phase III Facilities
by Option (millions; 2003$)
Option
Total Monetized Use Benefits3
Low Mean High
Total Social Costs
Net Benefits Based on Use Benefits Onlyb
Low Mean High
3% Discount Rate
Option 3
Option 4
Option 2
Option 1
Option 6
$1.0
$1.0
$1.0
$1.1
$1.1
$2.0
$2.0
$2.0
$2.1
$2.1
$4.0
$4.1
$4.1
$4.1
$4.2
$65.0
$67.9
$73.7
$76.1
$95.7
($64.0)
($66.9)
($72.6)
($75.0)
($94.6)
($63.1)
($65.9)
($71.7)
($74.0)
($93.6)
($61.0)
($63.8)
($69.6)
($71.9)
($91.5)
7% Discount Rate
Option 3
Option 4
Option 2
Option 1
Option 6
$0.8
$0.8
$0.8
$0.8
$0.9
$1.6
$1.6
$1.6
$1.6
$1.7
$3.2
$3.2
$3.2
$3.3
$3.3
$69.6
$73.9
$79.3
$81.8
$102.5
($68.8)
($73.1)
($78.5)
($80.9)
($101.6)
($68.0)
($72.3)
($77.7)
($80.1)
($100.8)
($66.4)
($70.7)
($76.1)
($78.5)
($99.1)
a The total monetizable value of I&E reductions includes use benefits only. EPA evaluated non-use benefits only qualitatively. The
range (low, mean, and high) of annualized use values is computed by adding the high end value for commercial fishing benefits
(based on assumed producer surplus of 40% of gross revenue) to the low, mean, and high values from recreational fishing benefits,
respectively (see Chapter A4 of the RBA).
b Net benefits are computed by subtracting total annualized costs from total annual use benefits. The net benefits presented here are
based on the comparison of a substantially complete measure of social costs with an incomplete measure of benefits and should be
interpreted with caution.
Source: U.S. EPA Analysis, 2004.
E3A-2
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Tables E3A-3 and E3A-4, below and following page, report net benefits, by option and benefit study region for,
respectively, the 3% and 7% discount rate calculations. For further information on this analysis, see section E3-1,
above.
Table E3A-3: Total Net Benefits for Existing Phase III Facilities by Option and Region
(millions; 2003$, discounted at 3%)
Option
„ ,.„ . North
California . ,,
Atlantic
Net Benefits Based
,-.,.,, ,. South
Mid-Atlantic ... ,. b
Atlantic"
on Use Benefits Only3
Gulf of _ , T , T i j
,„ . Great Lakes Inland
Mexico
National
Total
Low
Option 3
Option 4
Option 2
Option 1
Option 6
($1.1)
($1.5)
($1.5)
($1.5)
($2.2)
($4.5)
($4.5)
($4.5)
($4.5)
($4.5)
($2.5)
($3.0)
($3.0)
($3.0)
($3.2)
$0.0
$0.0
$0.0
$0.0
$0.0
($9.2)
($14.2)
($14.2)
($14.2)
($14.2)
($20.4)
($22.6)
($22.6)
($22.6)
($28.4)
($25.0)
($19.5)
($25.0)
($27.4)
($39.8)
($64.0)
($66.9)
($72.6)
($75.0)
($94.6)
Mean
Option 3
Option 4
Option 2
Option 1
Option 6
($1.1)
($1.5)
($1.5)
($1.5)
($2.2)
($4.5)
($4.5)
($4.5)
($4.5)
($4.5)
($2.2)
($2.8)
($2.8)
($2.8)
($3.0)
$0.0
$0.0
$0.0
$0.0
$0.0
($8.9)
($13.8)
($13.8)
($13.8)
($13.8)
($20.2)
($22.5)
($22.5)
($22.5)
($28.2)
($24.8)
($19.4)
($24.9)
($27.2)
($39.6)
($63.1)
($65.9)
($71.7)
($74.0)
($93.6)
High
Option 3
Option 4
Option 2
Option 1
Option 6
($1.1)
($1.4)
($1.4)
($1.4)
($2.1)
($4.4)
($4.4)
($4.4)
($4.4)
($4.4)
($1.6)
($2.2)
($2.2)
($2.2)
($2.4)
$0.0
$0.0
$0.0
$0.0
$0.0
($8.1)
($13.1)
($13.1)
($13.1)
($13.1)
($19.9)
($22.1)
($22.1)
($22.1)
($27.8)
($24.5)
($19.1)
($24.6)
($26.9)
($39.3)
($61.0)
($63.8)
($69.6)
($71.9)
($91.5)
a Net benefits are computed by subtracting total annualized costs from total annual use benefits. The net benefits presented here are
based on the comparison of a substantially complete measure of social costs with an incomplete measure of benefits and should be
interpreted with caution.
b No benefits or costs are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with this
option.
Source: U.S. EPA Analysis, 2004.
E3A-3
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Table E3A-4: Total Net Benefits for Existing Phase III Facilities by Option and Region
(millions; 2003$, discounted at 7%)
Option
„ ,.„ . North
California . ,.
Atlantic
Net
Mid-
Atlantic
Benefits Based on Use Benefits Only3
South
Atlantic"
Gulf of
Mexico
Great Lakes Inland
National
Total
Low
Option 3
Option 4
Option 2
Option 1
Option 6
($1.2)
($1.6)
($1.6)
($1.6)
($2.2)
($5.0)
($5.0)
($5.0)
($5.0)
($5.0)
($2.4)
($2.9)
($2.9)
($2.9)
($3.1)
$0.0
$0.0
$0.0
$0.0
$0.0
($10.4)
($16.7)
($16.7)
($16.7)
($16.7)
($22.7)
($24.8)
($24.8)
($24.8)
($30.7)
($25.7)
($20.5)
($25.7)
($28.1)
($41.6)
($68.8)
($73.1)
($78.5)
($80.9)
($101.6)
Mean
Option 3
Option 4
Option 2
Option 1
Option 6
($1.2)
($1.6)
($1.6)
($1.6)
($2.2)
($5.0)
($5.0)
($5.0)
($5.0)
($5.0)
($2.2)
($2.7)
($2.7)
($2.7)
($2.9)
$0.0
$0.0
$0.0
$0.0
$0.0
($10.1)
($16.5)
($16.5)
($16.5)
($16.5)
($22.6)
($24.7)
($24.7)
($24.7)
($30.5)
($25.6)
($20.4)
($25.6)
($28.0)
($41.4)
($68.0)
($72.3)
($77.7)
($80.1)
($100.8)
High
Option 3
Option 4
Option 2
Option 1
Option 6
($1.2)
($1.5)
($1.5)
($1.5)
($2.1)
($4.9)
($4.9)
($4.9)
($4.9)
($4.9)
($1.8)
($2.3)
($2.3)
($2.3)
($2.4)
$0.0
$0.0
$0.0
$0.0
$0.0
($9.6)
($15.9)
($15.9)
($15.9)
($15.9)
($22.3)
($24.4)
($24.4)
($24.4)
($30.2)
($25.4)
($20.2)
($25.4)
($27.7)
($41.2)
($66.4)
($70.7)
($76.1)
($78.5)
($99.1)
a Net benefits are computed by subtracting total annualized costs from total annual use benefits. The net benefits presented here are
based on the comparison of a substantially complete measure of social costs with an incomplete measure of benefits and should be
interpreted with caution.
b No benefits or costs are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with this
option.
Source: U.S. EPA Analysis, 2004.
Tables E3A-5 and E3A-6 compile the time profiles of benefits and costs for the five other options. The tables
also report the calculated present and annualized values of benefits and costs at 3% and 7% discount rates.
E3A-4
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Table E3A-5: Time Profile of Benefits and Costs for Existing Phase III Facilities
for Options 3, 4, and 2 (millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Option 3
Monetized Total Cost
Benefits
$0.00
$0.00
$0.00
$0.01
$0.05
$0.23
$0.64
$1.35
$1.91
$2.23
$2.34
$2.39
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.40
$2.39
$2.35
$2.17
$1.76
$1.06
$0.49
$0.18
$0.06
$0.02
$39.06
$1.99
$19.48
$1.57
(excl. O&G)
$3.9
$14.9
$24.8
$188.0
$196.1
$281.5
$119.0
$31.0
$30.6
$29.1
$25.9
$20.4
$25.0
$55.1
$95.6
$39.4
$66.1
$30.6
$30.6
$29.1
$25.9
$20.4
$25.0
$55.1
$95.6
$39.4
$66.1
$30.6
$30.6
$29.1
$25.9
$20.4
$18.3
$15.3
$8.8
$5.3
$1.0
$0.0
$0.0
$0.0
$0.0
$0.0
$1,313.2
$65.0
$923.8
$69.6
Option
Monetized
Benefits
$0.00
$0.00
$0.00
$0.01
$0.06
$0.23
$0.65
$1.36
$1.92
$2.25
$2.36
$2.41
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.42
$2.37
$2.19
$1.78
$1.07
$0.50
$0.18
$0.07
$0.02
$39.48
$2.01
$19.69
$1.59
4
Total Cost
(excl. O&G)
$3.3
$13.9
$23.0
$182.6
$296.5
$284.6
$117.7
$27.0
$29.9
$26.8
$24.8
$20.7
$22.6
$51.8
$91.9
$40.8
$65.2
$26.6
$29.9
$26.8
$24.8
$20.7
$22.6
$51.8
$91.9
$40.8
$65.2
$26.6
$29.9
$26.8
$24.8
$20.7
$18.0
$15.7
$8.7
$5.2
$0.9
$0.0
$0.0
$0.0
$0.0
$0.0
$1,371.2
$67.9
$980.8
$73.9
Option
Monetized
Benefits
$0.00
$0.00
$0.00
$0.01
$0.06
$0.23
$0.65
$1.36
$1.92
$2.25
$2.36
$2.41
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.43
$2.42
$2.37
$2.19
$1.78
$1.07
$0.50
$0.18
$0.07
$0.02
$39.48
$2.01
$19.69
$1.59
2
Total Cost
(excl. O&G)
$3.9
$16.0
$27.4
$191.4
$305.5
$291.2
$124.1
$34.4
$33.6
$32.7
$28.8
$24.2
$27.3
$58.2
$100.0
$46.6
$71.4
$33.9
$33.6
$32.7
$28.8
$24.2
$27.3
$58.2
$100.0
$46.6
$71.4
$33.9
$33.6
$32.7
$28.8
$24.2
$20.7
$17.6
$10.3
$6.2
$1.3
$0.0
$0.0
$0.0
$0.0
$0.0
$1,487.3
$73.7
$1,053.3
$79.3
Source: U.S. EPA Analysis, 2004.
E3A-5
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Table E3A-6: Time Profile of Benefits and Costs for Existing Phase III Facilities
for Options 1 and 6 (millions; 2003$)
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
PV 3%
Annualized 3%
PV 7%
Annualized 7%
Option 1
Monetized Benefits
$0.00
$0.00
$0.00
$0.01
$0.06
$0.24
$0.67
$1.39
$1.96
$2.29
$2.41
$2.46
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.47
$2.42
$2.23
$1.81
$1.09
$0.51
$0.18
$0.07
$0.02
$40.23
$2.05
$20.07
$1.62
Total Cost
(excl. O&G)
$3.9
$16.1
$27.9
$206.0
$306.9
$295.9
$125.3
$36.1
$34.9
$34.5
$30.2
$25.4
$28.6
$61.7
$101.8
$51.2
$72.7
$35.0
$34.9
$34.5
$30.2
$25.4
$28.6
$61.7
$101.8
$51.2
$72.7
$35.0
$34.9
$34.5
$30.2
$25.4
$21.9
$18.6
$11.4
$6.2
$1.4
$0.0
$0.0
$0.0
$0.0
$0.0
$1,535.7
$76.1
$1,085.6
$81.8
Option 6
Monetized Benefits
$0.00
$0.00
$0.00
$0.01
$0.06
$0.25
$0.69
$1.42
$2.00
$2.34
$2.46
$2.51
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.53
$2.52
$2.47
$2.27
$1.84
$1.11
$0.53
$0.19
$0.07
$0.02
$41.12
$2.10
$20.52
$1.65
Total Cost
(excl. O&G)
$6.0
$23.8
$38.7
$266.2
$410.1
$316.7
$137.6
$49.6
$46.8
$44.5
$41.1
$35.5
$39.6
$76.5
$129.5
$69.7
$84.3
$47.7
$46.7
$44.5
$41.1
$35.5
$39.6
$76.5
$129.5
$69.7
$84.3
$47.7
$46.7
$44.5
$41.1
$35.5
$28.7
$23.6
$14.2
$8.1
$2.2
$0.0
$0.0
$0.0
$0.0
$0.0
$1,932.0
$95.7
$1,360.3
$102.5
Source: U.S. EPA Analysis, 2004.
E3A-6
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
E3A-2 INCREMENTAL ANALYSIS OF BENEFITS AND SOCIAL COSTS
EPA conducted an incremental analysis of benefits and social costs to determine as increasingly more costly
options are considered, by what amount do benefits, costs, and net benefits change from option to option. Table
E3A-7, below, reports this analysis for the five other options evaluated. For a description of this analysis, see
section E3-2 above.
Table E3A-7: Incremental Benefit-Cost Analysis
Option3
for Existing Phase III Facilities (millions; 2003$)
Net Benefits Based on
Use Benefits Only"
Low Mean High
Incremental Net Benefits0
Low Mean High
3% discount rate
Option 3
Option 4
Option 2
Option 1
Option 6
($64.0)
($66.9)
($72.6)
($75.0)
($94.6)
($63.1)
($65.9)
($71.7)
($74.0)
($93.6)
($61.0)
($63.8)
($69.6)
($71.9)
($91.5)
n/a
($2.9)
($5.8)
($2.4)
($19.6)
n/a
($2.9)
($5.8)
($2.4)
($19.6)
n/a
($2.8)
($5.8)
($2.6)
($19.5)
7% discount rate
Option 3
Option 4
Option 2
Option 1
Option 6
($68.8)
($73.1)
($78.5)
($80.9)
($101.6)
($68.0)
($72.3)
($77.7)
($80.1)
($100.8)
($66.4)
($70.7)
($76.1)
($78.5)
($99.1)
n/a
($4.3)
($5.5)
($2.4)
($20.7)
n/a
($4.3)
($5.5)
($2.4)
($20.7)
n/a
($4.3)
($5.5)
($2.4)
($20.6)
a Options are presented in order of increasing applicability, based on the number of facilities regulated.
b Net benefits are computed by subtracting total annualized costs from total annual use benefits. The net benefits presented here are
based on the comparison of a substantially complete measure of social costs with an incomplete measure of benefits and should be
interpreted with caution.
c Incremental net benefits are equal to the difference between net benefits of a given option and the net benefits of the previous less
stringent option.
Source: U.S. EPA Analysis, 2004.
E3A-3 BREAK-EVEN ANALYSIS OF POTENTIAL NON-USE BENEFITS
EPA conducted a break-even analysis for each option to determine the per household value and per age-1
equivalent value of non-use benefits needed for total annual benefits to equal total annual costs. Table E3A-8
presents the results at the national level; Tables E3A-9 and E3A-10 present results at the regional level. For a
description of this analysis, see section E3-3 above.
E3A-7
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Table E3A-8: Estimated Value of Non-Use Benefits Required for Total Benefits to Equal Total Social
Cost for Existing Phase III Facilities - Break-Even Analysis (2003$)
Option
Total Social
Costs
(millions)
Mean Value of
Use Benefits
(millions)
Non-Use
Benefits
Necessary to
Break Even3
(millions)
Number of
Households
Break-Even
WTP per
Household
($)
Reduction in
I&E Losses
(Age-1
Equivalents)
Break-Even
Value per
Age-1
Equivalent1"
($)
3% Discount Rate
Option 3
Option 4
Option 2
Option 1
Option 6
$65.0
$67.9
$73.7
$76.1
$95.7
$2.0
$2.0
$2.0
$2.1
$2.1
$63.1
$65.9
$71.7
$74.0
$93.6
31,890,286
26,772,975
26,772,975
32,298,995
38,143,532
$1.98
$2.46
$2.68
$2.29
$2.45
53,171,000
52,261,000
52,261,000
54,361,000
56,161,000
$1.19
$1.26
$1.37
$1.36
$1.67
7% Discount Rate
Option 3
Option 4
Option 2
Option 1
Option 6
$69.6
$73.9
$79.3
$81.8
$102.5
$1.6
$1.6
$1.6
$1.6
$1.7
$68.0
$72.3
$77.7
$80.1
$100.8
31,890,286
26,772,975
26,772,975
32,298,995
38,143,532
$2.13
$2.70
$2.90
$2.48
$2.64
53,171,000
52,261,000
52,261,000
54,361,000
56,161,000
$1.28
$1.38
$1.49
$1.47
$1.79
a The non-use benefits category in this table may include some categories of use values that were not taken into account by the
recreation and commercial fishing analyses.
b The non-use value per age-1 equivalent reported in the table includes the value placed on the fish's contribution to non-use
ecological services (e.g., population, health, sustainability, and overall ecosystem health).
Source: U.S. EPA Analysis, 2004.
E3A-8
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Table E3A-9: Estimated Value of Non-Use Benefits Required for Total Benefits to Equal Total Social
Costs for Existing Phase III Facilities - Break-Even Analysis by Regions (2003$, discounted at 3%)
Option
Total Social
Costs
(millions)
Mean Value
of Use
Benefits
(millions)
Non-Use
Benefits
Necessary to
Break Even3
(millions)
Number of
Households
Break-Even
WTP per
Household
(S)
Reduction of
I&E Losses
(Age-1
Equivalents)
Break-Even
Value per
Age-1
Equivalent1"
(S)
Option 3
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$1.1
$4.6
$2.7
$0.0
$9.5
$20.6
$25.2
$65.0
$o.od
$0.1
$0.5
$0.0
$0.7
$0.4
$0.3
$2.0
$1.1
$4.5
$2.2
$0.0
$8.9
$20.2
$24.8
$63.1
1,518,773
2,129,180
6,491,544
0
1,344,996
7,076,410
13,329,383
31,890,286
$0.71
$2.11
$0.34
$0.00
$6.59
$2.86
$1.86
$1.98
391,000
930,000
13,400,000
0
8,650,000
13,200,000
16,600,000
53,171,000
$2.76
$4.84
$0.16
$0.00
$1.02
$1.53
$1.50
$1.19
Option 4
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$1.5
$4.6
$3.3
$0.0
$14.5
$22.8
$19.7
$67.9
$0.1
$0.1
$0.5
$0.0
$0.7
$0.4
$0.3
$2.0
$1.5
$4.5
$2.8
$0.0
$13.8
$22.5
$19.4
$65.9
1,518,773
2,129,180
6,491,544
0
1,344,996
7,076,410
8,212,072
26,772,975
$0.98
$2.11
$0.43
$0.00
$10.28
$3.17
$2.36
$2.46
771,000
930,000
13,600,000
0
8,860,000
13,300,000
14,800,000
52,261,000
$1.93
$4.84
$0.20
$0.00
$1.56
$1.69
$1.31
$1.26
Option 2
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$1.5
$4.6
$3.3
$0.0
$14.5
$22.8
$25.2
$73.7
$0.1
$0.1
$0.5
$0.0
$0.7
$0.4
$0.3
$2.0
$1.5
$4.5
$2.8
$0.0
$13.8
$22.5
$24.9
$71.7
1,518,773
2,129,180
6,491,544
0
1,344,996
7,076,410
8,212,072
26,772,975
$0.98
$2.11
$0.43
$0.00
$10.28
$3.17
$3.03
$2.68
771,000
930,000
13,600,000
0
8,860,000
13,300,000
14,800,000
52,261,000
$1.93
$4.84
$0.20
$0.00
$1.56
$1.69
$1.68
$1.37
California
$1.5
$0.1
Option 1
$1.5
1,518,773
3.98
771,000
$1.93
E3A-9
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Table E3A-9: Estimated Value of Non-Use Benefits Required for Total Benefits to Equal Total Social
Costs for Existing Phase III Facilities - Break-Even Analysis by Regions (2003$, discounted at 3%)
Option
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
Total Social
Costs
(millions)
$4.6
$3.3
$0.0
$14.5
$22.8
$27.5
$76.1
Mean Value
of Use
Benefits
(millions)
$0.1
$0.5
$0.0
$0.7
$0.4
$0.3
$2.1
Non-Use
Benefits
Necessary to
Break Even3
(millions)
$4.5
$2.8
$0.0
$13.8
$22.5
$27.2
$74.0
Number of
Households
2,129,180
6,491,544
0
1,344,996
7,076,410
13,738,093
32,298,995
Break-Even
WTP per
Household
($)
$2.11
$0.43
$0.00
$10.28
$3.17
$1.98
$2.29
Reduction of
I&E Losses
(Age-1
Equivalents)
930,000
13,600,000
0
8,860,000
13,300,000
16,900,000
54,361,000
Break-Even
Value per
Age-1
Equivalent1"
($)
$4.84
$0.20
$0.00
$1.56
$1.69
$1.61
$1.36
Option 6
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$2.2
$4.6
$3.5
$0.0
$14.5
$28.6
$40.0
$95.7
$0.1
$0.1
$0.5
$0.0
$0.7
$0.4
$0.4
$2.1
$2.2
$4.5
$3.0
$0.0
$13.8
$28.2
$39.6
$93.6
1,518,773
2,129,180
7,214,556
0
1,344,996
9,055,971
16,880,055
38,143,532
$1.43
$2.11
$0.41
$0.00
$10.28
$3.11
$2.35
$2.45
771,000
930,000
13,700,000
0
8,860,000
14,300,000
17,600,000
56,161,000
$2.82
$4.84
$0.22
$0.00
$1.56
$1.97
$2.25
$1.67
a The non-use benefits category in this table may include some categories of use values that were not taken into account by the
recreation and commercial fishing analyses.
b The non-use value per age-1 equivalent reported in the table includes the value placed on the fish's contribution to non-use
ecological services (e.g., population, health, sustainability, and overall ecosystem health).
c No benefits or costs are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with this
option.
d Positive non-zero value less than $50,000.
Source: U.S. EPA Analysis, 2004.
E3A-10
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Table E3A-10: Estimated Value of Non
Costs for Existing Phase III Facilities
Use Benefits Required for Total Benefits to Equal Total Social
- Break-Even Analysis by Regions (2003$, discounted at 7%)
Option
Total Social
Costs
(millions)
Mean Value
of Use
Benefits
(millions)
Non-Use
Benefits
Necessary to
Break Even3
(millions)
Number of
Households
Break-Even
WTP per
Household
(S)
Reduction of
I&E Losses
(Age-1
Equivalents)
Break-Even
Value per
Age-1
Equivalent1"
(S)
Option 3
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$1.2
$5.0
$2.6
$0.0
$10.7
$22.9
$25.9
$69.6
$0.0d
$0.1
$0.4
$0.0
$0.5
$0.3
$0.3
$1.6
$1.2
$5.0
$2.2
$0.0
$10.1
$22.6
$25.6
$68.0
1,518,773
2,129,180
6,491,544
0
1,344,996
7,076,410
13,329,383
31,890,286
$0.79
$2.35
$0.34
$0.00
$7.54
$3.19
$1.92
$2.13
391,000
930,000
13,400,000
0
8,650,000
13,200,000
16,600,000
53,171,000
$3.07
$5.37
$0.16
$0.00
$1.17
$1.71
$1.54
$1.28
Option 4
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$1.6
$5.0
$3.1
$0.0
$17.0
$25.0
$20.6
$73.9
$0.0d
$0.1
$0.4
$0.0
$0.5
$0.3
$0.3
$1.6
$1.6
$5.0
$2.7
$0.0
$16.5
$24.7
$20.4
$72.3
1,518,773
2,129,180
6,491,544
0
1,344,996
7,076,410
8,212,072
26,772,975
$1.03
$2.35
$0.42
$0.00
$12.25
$3.49
$2.48
$2.70
771,000
930,000
13,600,000
0
8,860,000
13,300,000
14,800,000
52,261,000
$2.03
$5.37
$0.20
$0.00
$1.86
$1.86
$1.38
$1.38
Option 2
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$1.6
$5.0
$3.1
$0.0
$17.0
$25.0
$25.9
$79.3
$0.0d
$0.1
$0.4
$0.0
$0.5
$0.3
$0.3
$1.6
$1.6
$5.0
$2.7
$0.0
$16.5
$24.7
$25.6
$77.7
1,518,773
2,129,180
6,491,544
0
1,344,996
7,076,410
8,212,072
26,772,975
$1.03
$2.35
$0.42
$0.00
$12.25
$3.49
$3.12
$2.90
771,000
930,000
13,600,000
0
8,860,000
13,300,000
14,800,000
52,261,000
$2.03
$5.37
$0.20
$0.00
$1.86
$1.86
$1.73
$1.49
California
$1.6
$0.0d
Option 1
$1.6
1,518,773
$1.03
771,000
$2.03
E3A-11
-------
§ 316(b) Proposed Rule: Phase III-EA, PartE: Social Costs, Benefits, and Benefit-Cost Analysis
Appendix to Chapter E3
Table E3A-10: Estimated Value of Non-Use Benefits Required for Total Benefits to Equal Total Social
Costs for Existing Phase III Facilities - Break-Even Analysis by Regions (2003$, discounted at 7%)
Option
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
Total Social
Costs
(millions)
$5.0
$3.1
$0.0
$17.0
$25.0
$28.3
$81.8
Mean Value
of Use
Benefits
(millions)
$0.1
$0.4
$0.0
$0.5
$0.3
$0.3
$1.6
Non-Use
Benefits
Necessary to
Break Even3
(millions)
$5.0
$2.7
$0.0
$16.5
$24.7
$28.0
$80.1
Number of
Households
2,129,180
6,491,544
0
1,344,996
7,076,410
13,738,093
32,298,995
Break-Even
WTP per
Household
($)
$2.35
$0.42
$0.00
$12.25
$3.49
$2.04
$2.48
Reduction of
I&E Losses
(Age-1
Equivalents)
930,000
13,600,000
0
8,860,000
13,300,000
16,900,000
54,361,000
Break-Even
Value per
Age-1
Equivalent1"
($)
$5.37
$0.20
$0.00
$1.86
$1.86
$1.66
$1.47
Option 6
California
North Atlantic
Mid-Atlantic
South Atlantic0
Gulf of
Mexico
Great Lakes
Inland
National Total
$2.2
$5.0
$3.3
$0.0
$17.0
$30.8
$41.7
$102.5
$o.od
$0.1
$0.4
$0.0
$0.5
$0.3
$0.3
$1.7
$2.2
$5.0
$2.9
$0.0
$16.5
$30.5
$41.4
$100.8
1,518,773
2,129,180
7,214,556
0
1,344,996
9,055,971
16,880,055
38,143,532
$1.45
$2.35
$0.40
$0.00
$12.25
$3.37
$2.45
$2.64
771,000
930,000
13,700,000
0
8,860,000
14,300,000
17,600,000
56,161,000
$2.85
$5.37
$0.21
$0.00
$1.86
$2.13
$2.35
$1.79
a The non-use benefits category in this table may include some categories of use values that were not taken into account by the
recreation and commercial fishing analyses.
b The non-use value per age-1 equivalent reported in the table includes the value placed on the fish's contribution to non-use
ecological services (e.g., population, health, sustainability, and overall ecosystem health).
c No benefits or costs are expected in the South Atlantic region because all potentially regulated facilities in this region already meet
the national categorical requirements in the baseline and therefore would not be required to install technologies to comply with this
option.
d Positive non-zero value less than $50,000.
Source: U.S. EPA Analysis, 2004.
E3A-12
------- |