摘要
数据包络分析(Data Envelopment Analysis,简称DEA)是近年来发展起来的一种相对效率评价方法。相对于传统的评价方法,DEA的评价结果更客观、更系统。利用DEA模型方法,对汽车工业12家上市公司的经营绩效进行分析评价,得出汽车上市公司经营低效的结论,并探讨改善其经营绩效的方向和途径。
Data envelopment analysis（DEA） is becoming an increasingly popular tool for assessing the relative efficiency.Compared to conventional methods,DEA shows several advantages and the evaluating results are more objective and systematic.So,by applying DEA theory to automobile industry,this paper analyzes the relative efficiency of twelve listed corporations.The results indicate that the performance of several listed corporations is sub-optimal,suggesting the potential for significant cost reductions.So,measures for improving the efficiency also discussed.
出处
《保定学院学报》
2011年第1期33-36,共4页
Journal of Baoding University
基金
河北省社会科学基金项目"低碳经济下河北省能源效率及对策研究"(HB10XGL121)
关键词
汽车上市公司
数据包络
CCR模型
经营效率
automobile listed corporations
data envelopment analysis
CCR model
efficiency
