Regional performance measurement and improvement : new developments and applications of data envelopment analysis /: new developments and applications of data envelopment analysis. ([2017])
- Record Type:
- Book
- Title:
- Regional performance measurement and improvement : new developments and applications of data envelopment analysis /: new developments and applications of data envelopment analysis. ([2017])
- Main Title:
- Regional performance measurement and improvement : new developments and applications of data envelopment analysis
- Further Information:
- Note: Soushi Suzuki, Peter Nijkamp.
- Authors:
- Suzuki, Soushi
Nijkamp, Peter - 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; 5.5Preface; 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. … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2017
- Copyright Date:
- 2017
- Extent:
- 1 online resource
- Subjects:
- 330.01
Data envelopment analysis
Data envelopment analysis -- Japan
Performance -- Measurement
Industrial efficiency -- Measurement
BUSINESS & ECONOMICS -- Economics -- General
BUSINESS & ECONOMICS -- Reference
Data envelopment analysis
Industrial efficiency -- Measurement
Performance -- Measurement
Economics
Regional/Spatial Science
Economic Systems
Economic Theory/Quantitative Economics/Mathematical Methods
Japan
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789811002427
9811002428 - Related ISBNs:
- 9789811002410
981100241X - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (EBSCO, viewed March 29, 2017). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- British Library HMNTS - ELD.DS.405075
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