The Efficiency of Non-Homogeneity Security Firms in Taiwan
Yu-Chuan Chen (),
Pin Ruei Lee () and
Yung-Ho Chiu ()
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Yu-Chuan Chen: Chihlee University of Technology, Department of Finance, Taiwan
Pin Ruei Lee: Hontai Life Insurance Co., Ltd., Marketing and Planning Department, Taiwan, R.O.C.
Panoeconomicus, 2017, vol. 64, issue 3, 353-370
Data envelopment analysis (DEA) is a nonparametric technique fordetermining the efficiency of a homogeneous set of decision-making units (DMUs). There are two common problems with traditional DEA. First, traditional DEA fails to adequately distinguish the efficiency DMUs. Second, the DMUs within the same industry are non-homogeneous. This study aims to develop a system-ranking-efficiency model to solve the problems of non-homogeneity and efficiency ranking for DMUs in the same group. The proposed system-rankingefficiency model is based on the concept of boundary change and considers the efficiency DMUs with the greatest influence on the boundary as the most important and, thus, as the ones that should have the highest efficiency ranking. The model is applied in the Taiwan securities industry, in which it was found to successfully rank all the DMUs.
Keywords: Data envelopment analysis; Non-homogeneity; System-DEA; Ranking (search for similar items in EconPapers)
JEL-codes: D24 G23 (search for similar items in EconPapers)
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