基于主成分和数据包络分析的四川省投资环境效率评价  

Evaluation of Sichuan Investment Environment Efficiency Based on Principal Component Analysis and Data Envelopment Analysis

作　　者：权进民[1] 周圣[1] 史本山[1] 

机构地区：[1]西南交通大学经济管理学院

出　　处：《财经科学》2013年第9期116-124,共9页Finance & Economics

基　　金：国家社科基金资助项目(项目编号:12CGL020);教育部人文社科基金资助项目(项目编号:12YJA790110)

摘　　要：数据包络分析是一种相对有效性的规划方法。本文通过主成分分析法获得影响投资环境效率的投入产出指标,并运用DEA模型对四川省18个地级市在2010年的投资环境效率进行评价,测算各个地区的综合效率、纯技术效率和规模效率。研究发现,共有7个地级市是DEA有效的,4个地级市则为纯技术有效,本文同时对非有效DEA地级市的投入产出指标进行分析,认为改善相应的指标值可以提高地区的投资环境效率。Data Envelopment Analysis （DEA） is a relatively more efficient planning method. This paper pro- duces I/O criterion impacting investment environment efficiency through principal component analysis. It also uses DEA model to rate investment environment efficiency in 18 prefecture- level cities of Sichuan Province in 2010, calc^ate comprehensive efficiency, pure technological efficiency and scale efficiency of various areas. The findings show that DEA in 7 prefecture- level cities is effective, pure technology in 4 prefecture - level cities is effective. This paper also makes analysis of I/0 criterion in ineffective DEA prefecture - lev- el cities, and proposes that improving related criteria values will improve investment environment efficiency of certain areas.

关 键 词：投资环境效率 主成分分析 数据包络分析 有效性 

分 类 号：F127[经济管理—世界经济] F224