巢湖学院学报 ›› 2020, Vol. 22 ›› Issue (1): 54-61.doi: 10.12152/j.issn.1672-2868.2020.01.008
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 (excluding Tibet) 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.#br#
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。
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