Coverart for item
The Resource Regional Performance Measurement and Improvement : New Applications of Data Envelopment Analysis

Regional Performance Measurement and Improvement : New Applications of Data Envelopment Analysis

Label
Regional Performance Measurement and Improvement : New Applications of Data Envelopment Analysis
Title
Regional Performance Measurement and Improvement
Title remainder
New Applications of Data Envelopment Analysis
Creator
Contributor
Subject
Language
eng
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
New Frontiers in Regional Science: Asian Perspectives Ser.
Series volume
v.9
Regional Performance Measurement and Improvement : New Applications of Data Envelopment Analysis
Label
Regional Performance Measurement and Improvement : New Applications of Data Envelopment Analysis
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4822956
Publication
Copyright
Related Contributor
Related Location
Related Agents
Related Authorities
Related Subjects
Related Items
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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 Items -- 3.3.2.1 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 Projection -- 4.3 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 Introduction
  • 6.2 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 Japan -- 7.3 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 -- 8.4 Optimum Weights of Input and Output Items -- 8.5 Performance Assessment Based on a Context-Dependent Super-Efficiency Model -- 8.6 Direct Efficiency-Improvement Projection Based on SE and SE-DFM Models -- 8.7 Stepwise Efficiency-Improvement Projection Based on SE and SE-DFM Models -- 8.8 Conclusion -- References -- Chapter 9: An Energy-Environment Performance Analysis After the Fukushima Disaster in Japan: Combination of a Target-Oriented ... -- 9.1 Introduction -- 9.2 Database and Analysis Framework -- 9.3 Performance Evaluation Based on an SE-CCR-I Model -- 9.4 Optimum Weights of Input and Output Items -- 9.5 Performance Improvement Projection Based on CCR, DFM, and TO-DFM Model
  • 9.6 Performance Improvement Projection Based on Target-Oriented DFM Model -- 9.7 Conclusion -- References -- Chapter 10: The Need for a New Energy Performance Balance in Japan: Combination of an Adjusted-Improvement Model with a CCR Mo... -- 10.1 Introduction -- 10.2 Analysis Framework and Database -- 10.3 Performance Evaluation Based on the CCR Model -- 10.4 Optimum Weights of Input and Output Items -- 10.5 Performance Improvement Projection Based on CCR, DFM, and Target-Oriented DFM Model -- 10.6 Performance Improvement Projection Based on an Adjusted-Improvement Target-Oriented DFM Model -- 10.7 Efficiency Improvement Projection of the Adjusted-Improvement TO-DFM Model -- 10.8 Conclusion -- References -- Chapter 11: Measurement of Energy-Environment-Economic Performance for EU, APEC, and ASEAN Countries: Combination of a Fixed-F... -- 11.1 Introduction -- 11.2 Database and Analysis Framework -- 11.3 Performance Evaluation Based on a Combined SE-CCR-I Model -- 11.4 Optimum Weights of Input and Output Items -- 11.5 Performance Improvement Projection Based on the Combined CCR, DFM, and TO-DFM Model -- 11.6 Performance Improvement Projection Based on the TO-DFM-FF Model -- 11.7 Interpretation and Conclusion -- References -- Chapter 12: Performance Measurement of Airport Operations in Japan: Combination of a Stepwise Improvement Model with a Fixed-F... -- 12.1 Introduction -- 12.2 Database and Analysis Framework -- 12.3 Performance Evaluation Based on a CCR-I Model -- 12.4 Optimum Weights of Input and Output Items -- 12.5 Performance Improvement Projection Based on a CCR and DFM-FF Model -- 12.6 Performance Improvement Projection Based on a Stepwise Improvement-DFM Fixed-Factor Model -- 12.7 Conclusion -- References -- Chapter 13: Conclusion -- 13.1 Lessons and Tasks for Japan and Asia -- 13.2 The Next Steps -- Appendix A: Manual for DFM Solver
  • A.1 Platform -- A.2 Data Preparation -- A.3 Starting DFM Solver
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9789811002427&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4387689'}
Extent
1 online resource (188 pages)
Form of item
online
Isbn
9789811002427
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
Processing Feedback ...