Regional Performance Measurement and Improvement

New Developments and Applications of Data Envelopment Analysis

  • Soushi Suzuki
  • Peter Nijkamp

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

Table of contents

  1. Front Matter
    Pages i-xii
  2. Soushi Suzuki, Peter Nijkamp
    Pages 1-9
  3. DEA Model Foundations and Adjustments

    1. Front Matter
      Pages 11-11
    2. Soushi Suzuki, Peter Nijkamp
      Pages 13-18
    3. Soushi Suzuki, Peter Nijkamp
      Pages 19-31
    4. Soushi Suzuki, Peter Nijkamp
      Pages 33-52
    5. Soushi Suzuki, Peter Nijkamp
      Pages 53-70
  4. Applications

  5. Back Matter
    Pages 181-185

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.


Data Envelopment Analysis (DEA) Efficiency Improvement Projection Performance Improvement Regional Performance

Authors and affiliations

  • Soushi Suzuki
    • 1
  • Peter Nijkamp
    • 2
  1. 1.Department of Life Science and TechnologyHokkai-Gakuen UniversitySapporoJapan
  2. 2.Tinbergen InstituteAmsterdamThe Netherlands

Bibliographic information

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