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Regional Performance Measurement and Improvement

New Developments and Applications of Data Envelopment Analysis

  • Book
  • © 2017

Overview

  • Facilitates an in-depth understanding of regional performance measurement and improvement based on data envelopment analysis
  • Provides a detailed explanation of a new efficiency improvement approach, the distance friction minimization model
  • Furnishes through these new models an effective efficiency-enhancing approach for inefficient regional decision-making units in Japan and other parts of Asia

Part of the book series: New Frontiers in Regional Science: Asian Perspectives (NFRSASIPER, volume 9)

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Table of contents (13 chapters)

  1. DEA Model Foundations and Adjustments

Keywords

About this book

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.

Authors and Affiliations

  • Department of Life Science and Technology, Hokkai-Gakuen University, Sapporo, Japan

    Soushi Suzuki

  • Tinbergen Institute, Amsterdam, The Netherlands

    Peter Nijkamp

About the authors

Soushi Suzuki, Professor Dr., Hokkai-Gakuen University, soushi-s@lst.hokkai-s-u.ac.jp, 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, p.nijkamp@vu.nl, Department of Spatial Economics, VU University Amsterdam, De Boelelaan 1105, 1081HV, Amsterdam, The Netherlands


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