Environmental assessment on energy and sustainability by data envelopment analysis. (2017)
- Record Type:
- Book
- Title:
- Environmental assessment on energy and sustainability by data envelopment analysis. (2017)
- Main Title:
- Environmental assessment on energy and sustainability by data envelopment analysis
- Further Information:
- Note: Toshiyuki Sueyoshi, Mika Goto.
- Authors:
- Sueyoshi, T (Toshiyuki), 1954-
Goto, Mika - Contents:
- PREFACE xv SECTION I DATA ENVELOPMENT ANALYSIS (DEA) 1 1 General Description 3 1.1 Introduction 3 1.2 Structure 4 1.3 Contributions in Sections I and II 10 1.4 Abbreviations and Nomenclature 13 1.4.1 Abbreviations Used in This Book 13 1.4.2 Nomenclature Used in This Book 18 1.4.3 Mathematical Concerns 23 1.5 Summary 24 2 Overview 25 2.1 Introduction 25 2.2 What is DEA? 26 2.3 Remarks 33 2.4 Reformulation from Fractional Programming to Linear Programming 35 2.5 Reference Set 38 2.6 Example for Computational Description 39 2.7 Summary 44 3 History 45 3.1 Introduction 45 3.2 O rigin of L1 Regression 46 3.3 O rigin of Goal Programming 50 3.4 Analytical Properties of L1 Regression 53 3.5 From L1 Regression to L2 Regression and Frontier Analysis 55 3.5.1 L2 Regression 55 3.5.2 L1?-based Frontier Analyses 55 3.6 O rigin of DEA 59 3.7 Relationships between GP and DEA 61 3.8 Historical Progress From L1 Regression to DEA 64 3.9 Summary 64 4 Radial Measurement 67 4.1 Introduction 67 4.2 Radial Models: Input?-Oriented 70 4.2.1 Input?-Oriented RM(v) under Variable RTS 70 4.2.2 Underlying Concept 72 4.2.3 Input?-Oriented RM(c) under Constant RTS 74 4.3 Radial Models: Desirable Output?-Oriented 75 4.3.1 Desirable Output?-oriented RM(v) under Variable RTS 75 4.3.2 Desirable Output?-oriented RM(c) under Constant RTS 77 4.4 Comparison Between Radial Models 79 4.4.1 Comparison Between Input?-Oriented and Desirable Output‑Oriented Radial Models 79 4.4.2 Hybrid Radial Model: Modification 81 4.5PREFACE xv SECTION I DATA ENVELOPMENT ANALYSIS (DEA) 1 1 General Description 3 1.1 Introduction 3 1.2 Structure 4 1.3 Contributions in Sections I and II 10 1.4 Abbreviations and Nomenclature 13 1.4.1 Abbreviations Used in This Book 13 1.4.2 Nomenclature Used in This Book 18 1.4.3 Mathematical Concerns 23 1.5 Summary 24 2 Overview 25 2.1 Introduction 25 2.2 What is DEA? 26 2.3 Remarks 33 2.4 Reformulation from Fractional Programming to Linear Programming 35 2.5 Reference Set 38 2.6 Example for Computational Description 39 2.7 Summary 44 3 History 45 3.1 Introduction 45 3.2 O rigin of L1 Regression 46 3.3 O rigin of Goal Programming 50 3.4 Analytical Properties of L1 Regression 53 3.5 From L1 Regression to L2 Regression and Frontier Analysis 55 3.5.1 L2 Regression 55 3.5.2 L1?-based Frontier Analyses 55 3.6 O rigin of DEA 59 3.7 Relationships between GP and DEA 61 3.8 Historical Progress From L1 Regression to DEA 64 3.9 Summary 64 4 Radial Measurement 67 4.1 Introduction 67 4.2 Radial Models: Input?-Oriented 70 4.2.1 Input?-Oriented RM(v) under Variable RTS 70 4.2.2 Underlying Concept 72 4.2.3 Input?-Oriented RM(c) under Constant RTS 74 4.3 Radial Models: Desirable Output?-Oriented 75 4.3.1 Desirable Output?-oriented RM(v) under Variable RTS 75 4.3.2 Desirable Output?-oriented RM(c) under Constant RTS 77 4.4 Comparison Between Radial Models 79 4.4.1 Comparison Between Input?-Oriented and Desirable Output‑Oriented Radial Models 79 4.4.2 Hybrid Radial Model: Modification 81 4.5 Multiplier Restriction and Cross?-Reference Approaches 82 4.5.1 Multiplier Restriction Methods 82 4.5.2 Cone Ratio Method 84 4.5.3 Cross?-reference Method 86 4.6 Cost Analysis 88 4.6.1 Cost Efficiency Measures 88 4.6.2 Type of Efficiency Measures in Production and Cost Analyses 89 4.6.3 Illustrative Example 91 4.7 Summary 94 5 Non?-Radial Measurement 95 5.1 Introduction 95 5.2 Characterization and Classification on DMUs 97 5.3 Russell Measure 99 5.4 Additive Model 103 5.5 Range?-Adjusted Measure 105 5.6 Slack?-Adjusted Radial Measure 106 5.7 Slack?-Based Measure 108 5.8 Methodological Comparison: An Illustrative Example 111 5.9 Summary 113 6 Desirable Properties 115 6.1 Introduction 115 6.2 Criteria For OE 117 6.3 Supplementary Discussion 119 6.4 Previous Studies on Desirable Properties 120 6.5 Standard Formulation for Radial and Non?-Radial Models 122 6.6 Desirable Properties for DEA Models 126 6.6.1 Aggregation 126 6.6.2 Frontier Shift Measurability 128 6.6.3 Invariance to Alternate Optima 131 6.6.4 Formal Definitions on Other Desirable Properties 132 6.6.5 Efficiency Requirement 133 6.6.6 Homogeneity 134 6.6.7 Strict Monotonicity 136 6.6.8 Unique Projection for Efficiency Comparison 137 6.6.9 Unit Invariance 138 6.6.10 Translation Invariance 139 6.7 Summary 140 6.A Appendix 142 6.A.1 Proof of Proposition 6.1 142 6.A.2 Proof of Proposition 6.6 143 6.A.3 Proof of Proposition 6.7 145 6.A.4 Proof of Proposition 6.8 146 6.A.5 Proof of Proposition 6.10 147 6.A.6 Proof of Proposition 6.11 147 7 Strong Complementary Slackness Conditions 149 7.1 Introduction 149 7.2 Combination Between Primal and Dual Models for SCSCs 150 7.3 Three Illustrative Examples 154 7.3.1 First Example 155 7.3.2 Second Example 158 7.3.3 Third Example 161 7.4 Theoretical Implications of SCSCs 162 7.5 Guideline for Non-Radial Models 167 7.6 Summary 167 7.A Appendix 168 7.A.1 Proof of Proposition 7.1 168 7.A.2 Proof of Proposition 7.4 169 7.A.3 Proof of Proposition 7.6 170 8 Returns to Scale 173 8.1 Introduction 173 8.2 Underlying Concepts 174 8.3 Production?-Based RTS Measurement 178 8.4 Cost?-Based RTS Measurement 182 8.5 Scale Efficiencies and Scale Economies 185 8.6 Summary 188 9 Congestion 189 9.1 Introduction 189 9.2 An Illustrative Example 191 9.3 Fundamental Discussions 195 9.4 Supporting Hyperplane 200 9.4.1 Location of Supporting Hyperplane 200 9.4.2 Visual Description of Congestion and RTS 201 9.5 Congestion Identification 204 9.5.1 Slack Adjustment for Projection 204 9.5.2 Congestion Identification on Projected Point 206 9.6 Theoretical Linkage Between Congestion and RTS 207 9.7 Degree of Congestion 209 9.8 Economic Implications 211 9.9 Summary 212 10 Network Computing 215 10.1 Introduction 215 10.2 Network Computing Architecture 216 10.3 Network Computing for Multi?-Stage Parallel Processes 218 10.3.1 Theoretical Preliminary 218 10.3.2 Computational Strategy for Network Computing 221 10.3.3 Network Computing in Multi?-Stage Parallel Processes 221 10.4 Simulation Study 229 10.5 Summary 241 11 DEA?-Discriminant Analysis 243 11.1 Introduction 243 11.2 Two MIP Approaches for DEA?-DA 245 11.2.1 Standard MIP Approach 245 11.2.2 Two?-stage MIP Approach 248 11.2.3 Differences between Two MIP Approaches 254 11.2.4 Differences between DEA and DEA?-DA 255 11.3 Classifying Multiple Groups 255 11.4 Illustrative Examples 259 11.4.1 First Example 259 11.4.2 Second Example 259 11.5 Frontier Analysis 261 11.6 Summary 263 12 Literature Study for Section I 265 12.1 Introduction 265 12.2 Computer Codes 265 12.3 Pedagogical Linkage From Conventional Use to Environmental Assessment 268 References for Section I 270 SECTION II DEA ENVIRONMENTAL ASSESSMENT 281 13 World Energy 283 13.1 Introduction 283 13.2 General Trend 284 13.3 Primary Energy 286 13.3.1 Fossil Fuel Energy 286 13.3.2 Non?-fossil Energy 293 13.4 Secondary Energy (Electricity) 297 13.5 Petroleum Price and World Trade 299 13.6 Energy Economics 300 13.7 Summary 303 14 Environmental Protection 305 14.1 Introduction 305 14.2 European Union 306 14.2.1 General Description 306 14.2.2 Environmental Action Program 308 14.3 Japan 310 14.4 China 311 14.5 The United States of America 315 14.5.1 General Description 315 14.5.2 Regional Comparison between PJM and California ISO 317 14.5.3 Federal Regulation of PJM and California ISO 318 14.5.4 Local Regulation on PJM 319 14.5.5 Local Regulation on California ISO 320 14.6 Summary 322 15 Concepts 325 15.1 Introduction 325 15.2 Role of DEA in Measuring Unified Performance 327 15.3 Social Sustainability Versus Corporate Sustainability 331 15.3.1 Why Is Social Sustainability Important? 332 15.3.2 Why Is Corporate Sustainability Important? 333 15.4 Strategic Adaptation 336 15.5 Two Disposability Concepts 339 15.6 Unified Efficiency under Natural and Managerial Disposability 341 15.7 Difficulty in DEA Environmental Assessment 343 15.8 Undesirable Congestion and Desirable Congestion 345 15.9 Compari … (more)
- Edition:
- 1st
- Publisher Details:
- Hoboken, New Jersey : John Wiley & Sons, Inc
- Publication Date:
- 2017
- Extent:
- 1 online resource
- Subjects:
- 333.79011
Data envelopment analysis
Environmental impact analysis
Factory and trade waste -- Management - Languages:
- English
- ISBNs:
- 9781118979297
9781118979334 - Related ISBNs:
- 9781118979341
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- Note: Description based on CIP data; resource not viewed.
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- British Library HMNTS - ELD.DS.261397
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