| Description |
1 online resource |
| Series |
New frontiers in regional science: Asian perspectives ; volume 9 |
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New frontiers in regional science: Asian perspectives ; v. 9.
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| 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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
This is the first book to fully introduce a newly developed distance friction minimization (DFM) model, which is one of the new efficiency improvement projection approaches in data envelopment analysis (DEA). The DFM model can produce a most effective solution in efficiency improvement projections for inefficient spatial entities (decision-making units). The book provides a set of fresh contributions to a quantitative assessment of the performance of such policy entities. First it offers a state-of-the art overview of current DEA models and approaches, followed by the operational design of various new types of DEA models, each of them addressing weaknesses in traditional DEA approaches. Then it illustrates the assessment potential of DEA and its new variants, in particular, the DFM model and subsequent extensions on the basis of a broadly composed collection of empirical case studies, centering mainly but not exclusively on Japan and other Asian nations |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed March 29, 2017) |
| Subject |
Data envelopment analysis.
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Data envelopment analysis -- Japan
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Performance -- Measurement
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Industrial efficiency -- Measurement
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BUSINESS & ECONOMICS -- Economics -- General.
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BUSINESS & ECONOMICS -- Reference.
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Data envelopment analysis
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Industrial efficiency -- Measurement
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Performance -- Measurement
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Japan
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| Form |
Electronic book
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| Author |
Nijkamp, Peter, author.
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| ISBN |
9789811002427 |
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9811002428 |
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