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Table of Contents
Preface; Contents; Chapter 1: Introduction; 1.1 Regional Performance Measurement in Perspective; 1.2 The Need for Data Envelopment Analysis; 1.3 Why Do We Need an Improved DEA?; 1.4 Summary of This Book; References; Part I: DEA Model Foundations and Adjustments; Chapter 2: Overview of DEA and Its Improvements; References; Chapter 3: Significance of DEA for Regional Performance Measurement; 3.1 CCR Model; 3.2 Super-Efficiency Model; 3.3 A Practical Treatment of DEA; 3.3.1 Basic Rules for Application
3.3.2 Sensitivity Analysis of Efficiency Scores for Number of DMUs, Input Items, and Output Items3.3.2.1 Influence of Quality of Items for Efficiency Scores; 3.3.2.2 Influence of Number of Items on Efficiency Scores; 3.3.2.3 Influence of Number of Efficient DMUs, Inefficient DMUs, and Quality of Efficient DMUs on Efficiency Scores; References; Chapter 4: The Distance Friction Minimization (DFM) Model in DEA; 4.1 The DFM Model: Introduction; 4.2 Comparison of Original Projection and DFM Projection; 4.2.1 Analysis Framework; 4.2.2 Data Sets; 4.2.3 Efficiency Evaluation Based on CCR-I
4.2.4 Comparison of CCR-I Projection and DFM Projection4.3 Conclusion; References; Chapter 5: Extended DFM Models in DEA; 5.1 Matrix of Extended DFM Model; 5.2 Target Approach; 5.2.1 Goals-Achievement Model; 5.2.2 Stepwise Improvement Model; 5.2.3 Target-Oriented Model; 5.3 Adjustment Approach; 5.3.1 Adjusted-Improvement Model; 5.3.2 Fixed-Factor Model; 5.4 SE Model with Fixed-Factor Model; 5.5 Stepwise Improvement-DFM-FF Model; References; Part II: Applications; Chapter 6: Performance Measurement of Local Government Finance in Japan: Combination of Goals-Achievement Model with aCCR Model
6.1 Introduction6.2 Analysis Framework and Database of Local Government Finance Efficiency in Hokkaido, Japan; 6.3 Performance Evaluation Based on CCR-I Model; 6.4 Optimum Weights of Input and Output Items; 6.5 Performance Improvement Projection Based on CCR and CCR-DFM Model; 6.6 Performance Improvement Projection Based on Goals-Achievement DFM Model; 6.7 Conclusion; References; Chapter 7: Performance Measurement of Public Transport Operation in Japan: Combination of Stepwise Improvement Model with CCR ...; 7.1 Introduction
7.2 Analysis Framework and Database of Public Transport Efficiency Management in Japan7.3 Performance Evaluation Based on the CCR Model; 7.4 Optimum Weights of Input and Output Items; 7.5 Performance Improvement Projection Based on CCR and DFM Model; 7.6 Performance Improvement Projection Based on Stepwise Improvement Model; 7.7 Conclusion; References; Chapter 8: Performance Measurement of Global Cities: Combination of a Stepwise Improvement Model with an SE Model; 8.1 Introduction; 8.2 Database and Analysis Framework; 8.3 Performance Evaluation Based on Super-Efficiency CCR-I Model
3.3.2 Sensitivity Analysis of Efficiency Scores for Number of DMUs, Input Items, and Output Items3.3.2.1 Influence of Quality of Items for Efficiency Scores; 3.3.2.2 Influence of Number of Items on Efficiency Scores; 3.3.2.3 Influence of Number of Efficient DMUs, Inefficient DMUs, and Quality of Efficient DMUs on Efficiency Scores; References; Chapter 4: The Distance Friction Minimization (DFM) Model in DEA; 4.1 The DFM Model: Introduction; 4.2 Comparison of Original Projection and DFM Projection; 4.2.1 Analysis Framework; 4.2.2 Data Sets; 4.2.3 Efficiency Evaluation Based on CCR-I
4.2.4 Comparison of CCR-I Projection and DFM Projection4.3 Conclusion; References; Chapter 5: Extended DFM Models in DEA; 5.1 Matrix of Extended DFM Model; 5.2 Target Approach; 5.2.1 Goals-Achievement Model; 5.2.2 Stepwise Improvement Model; 5.2.3 Target-Oriented Model; 5.3 Adjustment Approach; 5.3.1 Adjusted-Improvement Model; 5.3.2 Fixed-Factor Model; 5.4 SE Model with Fixed-Factor Model; 5.5 Stepwise Improvement-DFM-FF Model; References; Part II: Applications; Chapter 6: Performance Measurement of Local Government Finance in Japan: Combination of Goals-Achievement Model with aCCR Model
6.1 Introduction6.2 Analysis Framework and Database of Local Government Finance Efficiency in Hokkaido, Japan; 6.3 Performance Evaluation Based on CCR-I Model; 6.4 Optimum Weights of Input and Output Items; 6.5 Performance Improvement Projection Based on CCR and CCR-DFM Model; 6.6 Performance Improvement Projection Based on Goals-Achievement DFM Model; 6.7 Conclusion; References; Chapter 7: Performance Measurement of Public Transport Operation in Japan: Combination of Stepwise Improvement Model with CCR ...; 7.1 Introduction
7.2 Analysis Framework and Database of Public Transport Efficiency Management in Japan7.3 Performance Evaluation Based on the CCR Model; 7.4 Optimum Weights of Input and Output Items; 7.5 Performance Improvement Projection Based on CCR and DFM Model; 7.6 Performance Improvement Projection Based on Stepwise Improvement Model; 7.7 Conclusion; References; Chapter 8: Performance Measurement of Global Cities: Combination of a Stepwise Improvement Model with an SE Model; 8.1 Introduction; 8.2 Database and Analysis Framework; 8.3 Performance Evaluation Based on Super-Efficiency CCR-I Model