基于DEA与因子分析法的电力上市公司绩效分析

Evaluating the Efficiency of Listed Electric Power Companies by Data Reduction Factor and DEA Model

基于DEA与因子分析相结合的评价方法,对我国电力上市公司的经营绩效进行了实证分析。根据我国电力上市公司2011年的财务报表数据,以DEA方法为主导,因子分析法为辅助,首先利用因子分析法对投入指标和产出指标进行处理,把繁多的投入指标和产出指标合并成具有明确经济意义的若干个公共因子,然后应用DEA方法计算并得出各DMU的相对效率值,从而实现对各DMU的排序,以此评价我国电力上市公司的绩效并提出改善的对策。

The operational performances of Chinese listed Electric Power companies during 2011 makes an empirical analysis on the performance evaluation of the listed electric power companies in China, combining DEA and Data Reduction Factor Analysis method, in which DEA is taken as a central model and Data Reduction Factor as auxiliary model. First, Data Reduction Factor can epitomize many targets into the fewest public factors with economical significance. Second, DEA can calculate the relative efficiency value of each Data Making Unit, and then realize the priority order of each, using this method evaluated Electric listed company~ performance and to improve the effectiveness.