- 著者
-
鈴木 聡士
Peter NIJKAMP
Piet RIETVELD
- 出版者
- 日本地域学会
- 雑誌
- 地域学研究 (ISSN:02876256)
- 巻号頁・発行日
- vol.38, no.4, pp.1041-1053, 2008 (Released:2009-04-30)
- 参考文献数
- 20
- 被引用文献数
-
3
6
Data Envelopment Analysis (DEA) has become an established approach in the analysis of efficiency problems in both public and private sectors. The aim of this paper is to present a newly developed Distance Friction Minimization (DFM) approach based on the BCC (Banker-Charnes-Cooper) model in order to provide an appropriate efficiency-improving projection model in DEA. In this approach a generalized distance friction will be developed to assist a Decision Making Unit (DMU) in improving its efficiency by a proper movement towards the efficiency frontier surface. Our DFM model is based on a generalized distance friction function and serves to assist a DMU in improving its performance by a proper movement towards the efficiency frontier surface. Standard DEA models use a uniform input reduction or a uniform output augmentation in the improvement projections, but our DFM approach aims to generate a new contribution to efficiency enhancement strategies by deploying a weighted projection function, while it may address both input reduction and output augmentation as a strategy of a DMU. A suitable form of multidimensional projection functions mapping out efficiency improvement is given by a Multiple Objective Quadratic Programming (MOQP) model in conformity with a Euclidean distance. The above-mentioned extended DEA model will be empirically illustrated by using a data set on government-ordinance-designated cities in Japan, where the aim is to increase the efficiency of administration management in these cities, based on various input and output performance characteristics of these cities.JFL classification: C44, C61, H72