DEA效率分解与规模收益评价  

Efficiency Decomposition and Evaluating Return to Scale in DEA

作　　者：韩松[1] 魏权龄[1] HAN Song WEI Quan-ling(Institute of Operational Research and Mathematical Economics, School of Economics, Renmin University of China, Beijing 100872, China)

机构地区：[1]中国人民大学运筹学与数量经济研究所,北京100872

出　　处：《数学的实践与认识》2016年第24期60-68,共9页Mathematics in Practice and Theory

基　　金：国家自然科学基金(71271208)

摘　　要：使用输出DEA模型CCR、BCC、FG、ST和WY给出了整体效率的四种分解公式,并利用分解公式判别决策单元规模收益状况(包括拥挤),是对前人研究的整体效率分解公式的一种推广和应用.使用输出DEA模型CCR相对于WY的效率分解公式,可以判断决策单元是否为规模收益不变;使用BCC相对于WY的效率分解公式,可以判别是否出现拥挤.联合使用输出DEA模型FG相对于WY的效率分解公式,和ST相对于WY的效率分解公式,可以判断决策单元是否为规模收益递增、不变、递减或拥挤.In this paper, we set up four decomposition forms which are efficiency index of output CCR, BCC, FG, ST model vs WY model. And we can use these decompositions to evaluate return to scale of DMU including congestion. This is the extension and application of former research. Decomposing efficiency index of CCR into WY and scale efficiency, and BCC into WY and scale efficiency, we can evaluate constant return to scale and congestion. Decomposing efficiency index of FG into WY and scale efficiency, and ST into WY and scale efficiency, we can evaluate increasing, decreasing, constant return to scale and congestion.

关 键 词：数据包络分析 纯技术效率 效率分解公式 规模收益 拥挤 

分 类 号：F224[经济管理—国民经济]