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.
Table des matières
Part 1: Model.- 1. Introduction.- 2. Overview of the Data Envelopment Analysis (DEA) and Improvement Projection.- 3. Data Envelopment Analysis (DEA) for Performance Measurement and Improvement.- 4. Distance Friction Minimization (DFM) Model.- 5. Advanced DFM Models.- 6. Matrix of DFM Model.- Part 2: Applications.- 7. Performance Measurement of Local Government Finance in Japan: Combination of Goal-Achievement Model with CCR Model.- 8. Performance Measurement of Public Transport Operation in Japan: Combination of Stepwise Model with CCR Model.- 9. Performance Measurement of Asian City: Combination of Stepwise Model with SE Model.- 10. Energy-Environment Performance after Fukushima Problem in Japan: Combination of Target-Oriented Model with SE Model.- 11. New Energy Performance in Japan: Combination of Improvement Adjustment Model with CCR Model.- 12. Performance Measurement of Energy-Environment-Economic for EU, APEC and ASEAN Countries: Combination of Fixed Factor Model with Super Efficiency Model.- 13.Performance Measurement of Airport Operation in Japan: Combination of Stepwise Model with Fixed Factor Model.
A propos de l’auteur
Soushi Suzuki, Professor Dr., Hokkai-Gakuen University, [email protected], Department of Life Science and Technology, Hokkai-Gakuen University, 1-1 South 26 West 11, Chuo-ku, 0640926, Sapporo, Japan
Peter Nijkamp, Professor Dr., VU University Amsterdam, [email protected], Department of Spatial Economics, VU University Amsterdam, De Boelelaan 1105, 1081HV, Amsterdam, The Netherlands
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