Additive efficiency decomposition in two-stage DEA

被引:499
|
作者
Chen, Yao [2 ]
Cook, Wade D. [3 ]
Li, Ning [1 ,4 ]
Zhu, Joe [1 ]
机构
[1] Worcester Polytech Inst, Dept Management, Worcester, MA 01609 USA
[2] Univ Massachusetts, Coll Management, Lowell, MA 01845 USA
[3] York Univ, Schulich Sch Business, Toronto, ON M3J 1P3, Canada
[4] Jilin Univ, Coll Biol & Agr Engn, Changchun 130022, Jilin Province, Peoples R China
关键词
Data envelopment analysis (DEA); Efficiency; Intermediate measure; Two-stage;
D O I
10.1016/j.ejor.2008.05.011
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Kao and Hwang (2008) [Kao, C., Hwang, S.-N., 2008. Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European journal of Operational Research 185 (1), 418-429] develop a data envelopment analysis (DEA) approach for measuring efficiency of decision processes which can be divided into two stages. The first stage uses inputs to generate outputs which become the inputs to the second stage. The first stage outputs are referred to as intermediate measures. The second stage then uses these intermediate measures to produce outputs. Kao and Huang represent the efficiency of the overall process as the product of the efficiencies of the two stages. A major limitation of this model is its applicability to only constant returns to scale (CRS) situations. The current paper develops an additive efficiency decomposition approach wherein the overall efficiency is expressed as a (weighted) sum of the efficiencies of the individual stages. This approach can be applied under both CRS and variable returns to scale (VRS) assumptions. The case of Taiwanese non-life insurance companies is revisited using this newly developed approach. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:1170 / 1176
页数:7
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