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Environmental assessment on energy and sustainability by data envelopment analysis /
Introduces a bold, new model for energy industry pollution prevention and sustainable growth Balancing industrial pollution prevention with economic growth is one of the knottiest problems faced by industry today. This book introduces a novel approach to using data envelopment analysis (DEA) as a po...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ :
John Wiley & Sons, Inc.,
2018.
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| Colección: | Operations research and management science
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Intro; TITLE PAGE; COPYRIGHT PAGE; CONTENTS; PREFACE; SECTION I DATA ENVELOPMENT ANALYSIS (DEA); CHAPTER 1 GENERAL DESCRIPTION; 1.1 INTRODUCTION; 1.2 STRUCTURE; 1.3 CONTRIBUTIONS IN SECTIONS I AND II; 1.4 ABBREVIATIONS AND NOMENCLATURE; 1.4.1 Abbreviations Used in This Book; 1.4.2 Nomenclature Used in This Book; 1.4.3 Mathematical Concerns; 1.5 SUMMARY; CHAPTER 2 OVERVIEW; 2.1 INTRODUCTION; 2.2 WHAT IS DEA?; 2.3 REMARKS; 2.4 REFORMULATION FROM FRACTIONAL PROGRAMMING TO LINEAR PROGRAMMING; 2.5 REFERENCE SET; 2.6 EXAMPLE FOR COMPUTATIONAL DESCRIPTION; 2.7 SUMMARY; CHAPTER 3 HISTORY.
- 3.1 INTRODUCTION3.2 ORIGIN OFÂ L1 REGRESSION; 3.3 ORIGIN OFÂ GOAL PROGRAMMING; 3.4 ANALYTICAL PROPERTIES OFÂ L1 REGRESSION; 3.5 FROM L1 REGRESSION TOÂ L2 REGRESSION ANDÂ FRONTIERÂ ANALYSIS; 3.5.1 L2 Regression; 3.5.2 L1-Based Frontier Analyses; 3.6 ORIGIN OFÂ DEA; 3.7 RELATIONSHIPS BETWEEN GP AND DEA; 3.8 HISTORICAL PROGRESS FROMÂ L1 REGRESSION TOÂ DEA; 3.9 SUMMARY; CHAPTER 4 RADIAL MEASUREMENT; 4.1 INTRODUCTION; 4.2 RADIAL MODELS: INPUT-ORIENTED; 4.2.1 Input-Oriented RM(v) under Variable RTS; 4.2.2 Underlying Concept; 4.2.3 Input-Oriented RM(c) under Constant RTS.
- 4.3 RADIAL MODELS: DESIRABLE OUTPUT-ORIENTED4.3.1 Desirable Output-oriented RM(v) under Variable RTS; 4.3.2 Desirable Output-oriented RM(c) under Constant RTS; 4.4 COMPARISON BETWEEN RADIAL MODELS; 4.4.1 Comparison between Input-Oriented and Desirable Output-Oriented Radial Models; 4.4.2 Hybrid Radial Model: Modification; 4.5 MULTIPLIER RESTRICTION AND CROSS-REFERENCE APPROACHES; 4.5.1 Multiplier Restriction Methods; 4.5.2 Cone Ratio Method; 4.5.3 Cross-reference Method; 4.6 COST ANALYSIS; 4.6.1 Cost Efficiency Measures; 4.6.2 Type of Efficiency Measures in Production and Cost Analyses.
- 4.6.3 Illustrative Example4.7 SUMMARY; CHAPTER 5 NON-RADIAL MEASUREMENT; 5.1 INTRODUCTION; 5.2 CHARACTERIZATION ANDÂ CLASSIFICATION ONÂ DMUs; 5.3 RUSSELL MEASURE; 5.4 ADDITIVE MODEL; 5.5 RANGE-ADJUSTED MEASURE; 5.6 SLACK-ADJUSTED RADIAL MEASURE; 5.7 SLACK-BASED MEASURE; 5.8 METHODOLOGICAL COMPARISON: ANÂ ILLUSTRATIVE EXAMPLE; 5.9 SUMMARY; CHAPTER 6 DESIRABLE PROPERTIES; 6.1 INTRODUCTION; 6.2 CRITERIA FORÂ OE; 6.3 SUPPLEMENTARY DISCUSSION; 6.4 PREVIOUS STUDIES ONÂ DESIRABLE PROPERTIES; 6.5 STANDARD FORMULATION FOR RADIAL AND NON-RADIAL MODELS; 6.6 DESIRABLE PROPERTIES FORÂ DEA MODELS.
- 6.6.1 Aggregation6.6.2 Frontier Shift Measurability; 6.6.3 Invariance to Alternate Optima; 6.6.4 Formal Definitions on Other Desirable Properties; 6.6.5 Efficiency Requirement; 6.6.6 Homogeneity; 6.6.7 Strict Monotonicity; 6.6.8 Unique Projection for Efficiency Comparison; 6.6.9 Unit Invariance; 6.6.10 Translation Invariance; 6.7 SUMMARY; APPENDIX; Proof of Proposition 6.1; Proof of Proposition 6.6; Proof of Proposition 6.7; Proof of Proposition 6.8; Proof of Proposition 6.10; Proof of Proposition 6.11; CHAPTER 7 STRONG COMPLEMENTARY SLACKNESS CONDITIONS; 7.1 INTRODUCTION.