基于超效率DEA模型的高校科技创新效率评价  

Evaluation of Scientific and Technological Innovation Efficiency of Colleges and Universities Based on Super Efficiency DEA Model

作　　者：刘崇光 周鑫 刘浪[1] 

机构地区：[1]华东交通大学经济管理学院,南昌330013

出　　处：《科技与经济》2017年第5期21-25,95,共6页Science & Technology and Economy

基　　金：国家自然科学基金项目--"价格随机条件下多因素扰动的应急供应链协调机制研究"(项目编号:71562013;项目负责人:刘浪)成果之一;江西省研究生创新专项资金项目--"价格随机条件下基于拍卖机制的供应链协调研究"(项目编号:YC2017-S263;项目负责人:刘崇光)成果之一

摘　　要：如何合理有效配置科技教育资源是各级政府的一项重要工作。首先运用传统DEA模型对2014—2015年我国各地高等院校科技创新效率进行实证分析。在此基础上,将前沿面投影和超效率DEA模型相结合,对有效和无效地区的高校科技创新效率进行研究。结果表明,高校科技创新效率并非完全与区域经济发展水平同步。因此,各地应结合各自实际情况制定相应的科技发展政策,国家应当合理配置各地区高校科技教育资源,全面提高我国高校科技创新效率。How to effectively optimize the allocation of science and technology education resources is an important task of all levels of government. Firstly,the traditional DEA model is used to analyze the efficiency of scientific and technological innovation in colleges and universities in China's Mainland from 2014 to 2015. On this basis,the frontier projection and the super efficiency DEA model are combined to study the efficiency of scientific and technological innovation in colleges and universities in effective and ineffective areas.The results show that the efficiency of scientific and technological innovation in colleges and universities is not completely synchronized with the level of regional economic development. Therefore,all local governments should formulate their corresponding scientific and technological development policies in the light of their actual situation. The state should rationally allocate the resources of science and technology education in colleges and universities in a comprehensive way and improve the efficiency of scientific and technological innovation in colleges and universities in China.

关 键 词：前沿面投影 超效率DEA 科技创新效率 资源配置 

分 类 号：F224[经济管理—国民经济] G644[文化科学—高等教育学]