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000780256 08204 $$a330.01$$223
000780256 1001_ $$aSuzuki, Soushi,$$eauthor.
000780256 24510 $$aRegional performance measurement and improvement :$$bnew developments and applications of data envelopment analysis /$$cSoushi Suzuki, Peter Nijkamp.
000780256 264_1 $$aSingapore :$$bSpringer,$$c[2017]
000780256 264_4 $$c©2017
000780256 300__ $$a1 online resource.
000780256 336__ $$atext$$btxt$$2rdacontent
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000780256 4901_ $$aNew frontiers in regional science: Asian perspectives ;$$vvolume 9
000780256 504__ $$aIncludes bibliographical references.
000780256 5050_ $$aPreface; Contents; Chapter 1: Introduction; 1.1 Regional Performance Measurement in Perspective; 1.2 The Need for Data Envelopment Analysis; 1.3 Why Do We Need an Improved DEA?; 1.4 Summary of This Book; References; Part I: DEA Model Foundations and Adjustments; Chapter 2: Overview of DEA and Its Improvements; References; Chapter 3: Significance of DEA for Regional Performance Measurement; 3.1 CCR Model; 3.2 Super-Efficiency Model; 3.3 A Practical Treatment of DEA; 3.3.1 Basic Rules for Application
000780256 5058_ $$a3.3.2 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
000780256 5058_ $$a4.2.4 Comparison of CCR-I Projection and DFM Projection4.3 Conclusion; References; Chapter 5: Extended DFM Models in DEA; 5.1 Matrix of Extended DFM Model; 5.2 Target Approach; 5.2.1 Goals-Achievement Model; 5.2.2 Stepwise Improvement Model; 5.2.3 Target-Oriented Model; 5.3 Adjustment Approach; 5.3.1 Adjusted-Improvement Model; 5.3.2 Fixed-Factor Model; 5.4 SE Model with Fixed-Factor Model; 5.5 Stepwise Improvement-DFM-FF Model; References; Part II: Applications; Chapter 6: Performance Measurement of Local Government Finance in Japan: Combination of Goals-Achievement Model with aCCR Model
000780256 5058_ $$a6.1 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
000780256 5058_ $$a7.2 Analysis Framework and Database of Public Transport Efficiency Management in Japan7.3 Performance Evaluation Based on the CCR Model; 7.4 Optimum Weights of Input and Output Items; 7.5 Performance Improvement Projection Based on CCR and DFM Model; 7.6 Performance Improvement Projection Based on Stepwise Improvement Model; 7.7 Conclusion; References; Chapter 8: Performance Measurement of Global Cities: Combination of a Stepwise Improvement Model with an SE Model; 8.1 Introduction; 8.2 Database and Analysis Framework; 8.3 Performance Evaluation Based on Super-Efficiency CCR-I Model
000780256 506__ $$aAccess limited to authorized users.
000780256 520__ $$aThis is the first book to fully introduce a newly developed distance friction minimization (DFM) model, which is one of the new efficiency improvement projection approaches in data envelopment analysis (DEA). The DFM model can produce a most effective solution in efficiency improvement projections for inefficient spatial entities (decision-making units). The book provides a set of fresh contributions to a quantitative assessment of the performance of such policy entities. First it offers a state-of-the art overview of current DEA models and approaches, followed by the operational design of various new types of DEA models, each of them addressing weaknesses in traditional DEA approaches. Then it illustrates the assessment potential of DEA and its new variants, in particular, the DFM model and subsequent extensions on the basis of a broadly composed collection of empirical case studies, centering mainly but not exclusively on Japan and other Asian nations.
000780256 588__ $$aOnline resource; title from PDF title page (viewed March 29, 2017).
000780256 650_0 $$aData envelopment analysis.
000780256 650_0 $$aData envelopment analysis$$zJapan.
000780256 650_0 $$aPerformance$$xMeasurement.
000780256 650_0 $$aIndustrial efficiency$$xMeasurement.
000780256 7001_ $$aNijkamp, Peter,$$eauthor.
000780256 77608 $$iPrint version:$$z9789811002410
000780256 830_0 $$aNew frontiers in regional science: Asian perspectives ;$$vv. 9.
000780256 852__ $$bebk
000780256 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-0242-7$$zOnline Access$$91397441.1
000780256 909CO $$ooai:library.usi.edu:780256$$pGLOBAL_SET
000780256 980__ $$aEBOOK
000780256 980__ $$aBIB
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