基于超效率DEA模型的高等教育资源配置效率分析  

Analysis of Resource Allocation Efficiency of Higher Education Based on Super Efficiency DEA Model

作　　者：管永刚[1] GUAN Yong -gang(Huaiyin Institute of Technology,Huai'an 223003,China)

机构地区：[1]淮阴工学院,江苏淮安223003

出　　处：《黑龙江高教研究》2019年第2期84-88,共5页Heilongjiang Researches on Higher Education

摘　　要：文章综合数据包络分析的BCC模型和超效率模型,对我国31个省、市、自治区的高等资源投入产出效率进行分析和评价。结果显示,我国高等教育资源配置效率还存在一定的改建空间,纯技术效率是制约技术效率的关键所在。高等教育投入效率值西部最高,中部次之,东部最低。为提升我国高等教育投入产出效率,应该加速高等教育资源配置优化组合和调整,不能单纯依靠投入数值的增长。The synthetic data of this paper synthesizes the BCC model and the super efficiency model of data envelopment analysis.Accordingly,the input-output efficiency of higher resources in 31 Chinese provinces,cities and autonomous regions can be analyzed and evaluated.The results show that there is still certain reconstruction room for China’s higher education resource allocation efficiency,and pure technical efficiency is the key to restrict technical efficiency.The input efficiency of higher education is the highest in the western China,followed by the middle,the lowest in the east.In order to improve the input and output efficiency of China’s higher education,we should speed up the optimization and adjustment of the allocation of higher education resources rather than only rely on the growth of input value.

关 键 词：高等教育 超效率 投入产出 数据包络分析 

分 类 号：G647[文化科学—高等教育学]