摘要
运用超效率-DEA方法,对2009-2017年我国31个省区市科研机构的基础科研创新效率现状进行评价,并进一步以科研机构基础科研创新效率评价值作为被解释变量,结合系统GMM模型,从全国和分地区两个维度研究人力资本、经济发展、对外开放、产业创新、外商投资环境对科研机构基础科研创新效率的影响。结果表明,我国科研机构基础科研效率总体偏低,并从东到西呈现递减趋势。为提升我国科研机构的基础研究效率,需采取完善科研机构创新资源投入方式、优化创新人力资本结构和扩大科研机构学术交流对外开放程度等策略。
Based on the characteristics of basic scientific research of scientific research institutions,this paper uses the super efficiency DEA method to evaluate the current situation of basic scientific research innovation efficiency of scientific research institutions in 31 provinces and cities of China from 2009 to 2017.Taking the evaluation value of basic scientific research innovation efficiency of scientific research institutions as the explained variable,combined with the System GMM model,this paper studies the human capital,economic development,economic growth and social development from the national and sub regional dimensions The impact of opening to the outside world,industrial innovation and foreign investment environment on the basic research innovation efficiency of scientific research institutions.The results show that:the efficiency of basic scientific research of scientific research institutions in China is generally low,and shows a decreasing trend from east to west.In order to improve the efficiency of basic research of scientific research institutions in China,it is necessary to improve the investment mode of innovation resources of scientific research institutions,optimize the structure of innovation human capital and expand the degree of academic exchanges and opening up of scientific research institutions.
作者
范旭
李蓓黎
Fan Xu;Li Beili(Public Management Institute,South China University of Technology,Guangzhou 510640,China)
出处
《科技管理研究》
CSSCI
北大核心
2021年第15期117-126,共10页
Science and Technology Management Research
基金
教育部哲学社会科学研究重大课题攻关项目“新时代我国科技评价制度改革研究”(19JZD025)
国家社会科学基金重点项目“新时代社会主要矛盾转化下我国创新型国家建设研究”(18AKS008)
广东省省级科技计划项目“广东省新兴产业技术发展与科技型中小微企业的技术创新研究”(2017A010106001)。
关键词
基础科研效率
科研机构
超效率-DEA
系统GMM
basic scientific research efficiency
scientific research institutions
super efficiency DEA
System GMM
