我国省区高校科技创新效率评价实证分析——基于三阶段DEA模型  

Evaluationand spatial patterns ofuniversity's innovation efficiency in China based on three- stage DEA Model

作　　者：沈能[1] 宫为天[1] 

机构地区：[1]苏州大学东吴商学院,江苏苏州215021

出　　处：《科研管理》2013年第S1期125-132,共8页Science Research Management

基　　金：国家自然科学基金项目(71003023;71373169);江苏省"青蓝工程"中青年学术带头人资助计划;江苏省社科基金(12EYC009);江苏省高校哲学社会科学重点项目(2013ZDIXM028);中国博士后基金(2013T60634;2012M511434);苏州大学苏南发展研究院项目

摘　　要：采用可以剔除环境因素和随机干扰影响的三阶段DEA模型,对我国2000-2011年30个省(直辖市、自治区)的高校科技创新效率进行了实证研究,发现我国高校科技创新效率处于较低水平,而且其创新效率值受到产业基础、政策扶持和创新文化外部环境的影响。结合各地区高校创新效率与投入水平,可以将我国各地区高校科技创新模式划分为相对效率高投入、相对效率低投入、高效率高投入、高效率低投入、低效率高投入和低效率低投入等六种模式,对于不同的模式应采取不同的科技管理政策。In order to exclude the influence of environmental variables and random error on the University's innovation efficiency,this paper uses the three- stage DEA model that proposed by Fred etc. to investigate the University's innovation efficiency in 30 provinces of China in 2000- 2010. The results indicate that university's innovation efficiency in China has been affected by environmental variables and random factors such as the industry development level,government policies and innovation culture. Considering the University's innovation efficiency and R&D input,the authors divide 30 provinces in China into six types: relative efficiency and high input,relative efficiency and low input,high efficiency and high input,high efficiency and low input, low efficiency and high input as well as low efficiency and low input,and put forward some countermeasures for the different types.

关 键 词：科技创新 评价 DEA三阶段模型 

分 类 号：G644[文化科学—高等教育学]