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Regional Efficiency Improvement by Means of Data Envelopment Analysis through Euclidean Distance Minimization including Fixed Input Factors - An Application to Tourist Regions in Italy

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Author Info

  • Soushi Suzuki

    (Sapporo University, Sapporo, Japan)

  • Peter Nijkamp

    (VU University Amsterdam)

  • Piet Rietveld

    (VU University Amsterdam)

Abstract

Standard Data Envelopment Analysis (DEA) is characterized by uniform proportional input reduction or output augmentation in calculating improvement projections. This paper develops a new Euclidean Distance Minimization model in the context of DEA in order to derive a more appropriate efficiency-improving projection model by means of a weighted projection function. The model is extended to the situation where some factor inputs are fixed, for instance, due to lumpiness or natural constraints. The extended DEA model is illustrated in the context of regional planning by using a data set on Italian tourist destination regions.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 11-110/3.

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Date of creation: 09 Aug 2011
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Handle: RePEc:dgr:uvatin:20110110

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Web page: http://www.tinbergen.nl

Related research

Keywords: Euclidean Distance Minimization (EDM); Data Envelopment Analysis (DEA); Multiple Objective Quadratic Programming (MOQP); efficiency improving projection; tourist efficiency;

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Cited by:
  1. Soushi Suzuki & Peter Nijkamp, 2011. "A Stepwise-Projection Data Envelopment Analysis for Public Transport Operations in Japan," ERSA conference papers ersa10p523, European Regional Science Association.
  2. Halkos, George & Tzeremes, Nickolaos, 2011. "Regional environmental efficiency and economic growth: NUTS2 evidence from Germany, France and the UK," MPRA Paper 33698, University Library of Munich, Germany.
  3. Karima Kourtit & Daniel Arribas-Bel & Peter Nijkamp, 2012. "High performers in complex spatial systems: a self-organizing mapping approach with reference to The Netherlands," The Annals of Regional Science, Springer, vol. 48(2), pages 501-527, April.
  4. Karima Kourtit & Daniel Arribas-Bel & Peter Nijkamp, 2013. "High Performance in Complex Spatial Systems: A Self-Organizing Mapping Approach with Reference to The Netherlands," Tinbergen Institute Discussion Papers 13-194/VIII, Tinbergen Institute.

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