A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency |
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Authors: | Soushi Suzuki Peter Nijkamp Piet Rietveld Eric Pels |
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Affiliation: | 1. Hokkai-Gakuen University, Department of Civil and Environmental Engineering, 1-1, South 26 West11, Chuo-ku, 064-0926 Sapporo, Japan;2. VU University Amsterdam, Department of Spatial Economics, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands |
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Abstract: | This paper aims to present a newly developed distance friction minimization (DFM) method in the context of data envelopment analysis (DEA) in order to generate an appropriate (non-radial) efficiency-improving projection model, for both input reduction and output increase. In this approach, a generalized distance function, based on a Euclidean distance metric in weighted spaces, is proposed to assist a decision making unit (DMU) to improve its performance by an appropriate movement towards the efficiency frontier surface. A suitable form of multidimensional projection function for efficiency improvement is given by a Multiple Objective Quadratic Programming (MOQP) model. The paper describes the various steps involved in a systematic manner. |
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Keywords: | Distance friction minimization (DFM) method Data envelopment analysis (DEA) Multiple Objective Quadratic Programming (MOQP) Efficiency improving projection Airport efficiency |
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