我国政府R&D资助效率及其影响因素分析  

Analysis of the Efficiency of Chinese Government R&D Funding and Its Influencing Factors

作　　者：王世芳 WANG Shi-fang(School of Economics,Anhui University,Hefei Anhui 230601)

机构地区：[1]安徽大学经济学院,安徽合肥230601

出　　处：《巢湖学院学报》2020年第1期54-61,共8页Journal of Chaohu University

基　　金：安徽省科技创新战略与软科学重大研究专项项目(项目编号:1706a02020046)。

摘　　要：研究基于我国30个省市自治区(西藏除外)2009年以来的研发投入产出基本面数据,运用超效率DEA模型测算了各地区的政府R&D资助效率,结果表明,我国政府R&D资助效率存在着显著的省际差异,这种差异性既有资助规模的原因,也有管理水平的原因;接着为了进一步揭示这种差异性的深层次原因,运用Tobit模型对政府R&D资助效率差异性的政府层面、企业层面原因进行实证分析,结果表明,政府R&D资助率、R&D资助政策的稳定性、政府R&D经费分配结构、R&D人员学历结构及R&D投入强度等因素均对政府R&D资助效率有显著影响。最后在此基础上,针对中国政府R&D资助效率的提高提出相应政策建议。Based on the fundamental data of R&D input and output in China′s 30 provinces and autonomous regions since 2009, the super efficient DEA model is used to measure the efficiency of government R&D funding in various regions. The results show that there are significant inter-provincial differences in efficiency of Chinese government R&D funding for reasons of funding scale and management. Then, in order to further reveal the deep-seated reasons for this difference, the Tobit model is used to measure the efficiency of government R&D funding. Empirical analysis of the reasons at the enterprise level shows that the government R&D funding rate, the stability of the R&D funding policy, the government R&D funding allocation structure, the R&D personnel qualification structure and the R&D investment intensity all have significant effects on the government R&D funding efficiency. Finally, on this basis, the corresponding policy recommendations are proposed for the improvement of the efficiency of Chinese government R&D funding.

关 键 词：政府R&D资助 省际差异 超效率DEA模型 TOBIT模型 

分 类 号：F204[经济管理—国民经济]