Template-Type: ReDIF-Paper 1.0 Series: Tinbergen Institute Discussion Papers Creation-Date: 2011-08-09 Number: 11-110/3 Author-Name: Soushi Suzuki Author-Workplace-Name: Sapporo University, Sapporo, Japan Author-Name: Peter Nijkamp Author-Workplace-Name: VU University Amsterdam Author-Name: Piet Rietveld Author-Workplace-Name: VU University Amsterdam Title: Regional Efficiency Improvement by Means of Data Envelopment Analysis through Euclidean Distance Minimization including Fixed Input Factors - An Application to Tourist Regions in Italy Abstract: See also the article in

Papers in Regional Science (2011). Volume 90, issue 1, pages 67-90.

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. Classification-JEL: C44, D610, L830, R150 Keywords: Euclidean Distance Minimization (EDM), Data Envelopment Analysis (DEA), Multiple Objective Quadratic Programming (MOQP), efficiency improving projection, tourist efficiency File-Url: https://papers.tinbergen.nl/11110.pdf File-Format: application/pdf File-Size: 537508 bytes Handle: RePEc:tin:wpaper:20110110