数据包络分析
回归规模
分解
阶段(地层学)
效率
常量(计算机编程)
过程(计算)
产品(数学)
计算机科学
计量经济学
加性模型
比例(比率)
运筹学
经济
数学优化
数学
统计
生产(经济)
微观经济学
古生物学
生态学
物理
几何学
量子力学
估计员
程序设计语言
生物
操作系统
作者
Hao Chen,Wade D. Cook,Ning Li,Joe Zhu
标识
DOI:10.1016/j.ejor.2008.05.011
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.
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