Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/87249
Authors: 
Suzuki, Soushi
Nijkamp, Peter
Rietveld, Piet
Year of Publication: 
2011
Series/Report no.: 
Tinbergen Institute Discussion Paper 11-110/3
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.
Subjects: 
Euclidean Distance Minimization (EDM)
Data Envelopment Analysis (DEA)
Multiple Objective Quadratic Programming (MOQP)
efficiency improving projection
tourist efficiency
JEL: 
C44
D61
L83
R15
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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