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作 者:王立勇[1] 唐升[2] Wang Liyong;Tang Sheng
机构地区:[1]中央财经大学国际经济与贸易学院 [2]宁波大学商学院
出 处:《宏观经济研究》2020年第6期75-88,共14页Macroeconomics
基 金:国家社会科学基金重大项目(15ZDA009);国家自然科学基金项目(71473280)的资助。
摘 要:本文从创新效率视角,借助DEA、面板Tobit模型分析中国政府R&D补贴政策的效果,以及政府R&D补贴政策效果的决定因素。结果表明,政府R&D补贴对创新效率有显著促进作用;公路密度、知识产权保护、R&D人员规模、教育支出规模、政府对高校R&D补贴对技术创新效率均产生正向影响;政府对高校的R&D补贴、外商直接投资、知识产权保护强度等对政府R&D补贴效果存在正向影响,国有产权比重、政府对科研机构的R&D补贴对政府R&D补贴效果有负向影响,相比之下,经济发展水平和工业化程度对政府R&D补贴效果没有显著影响。据此本文提出相应政策建议。This paper analyzes the effect of the Chinese government’s R&D subsidy policy and the determinants of the government’s R&D subsidy policy from the perspective of innovation efficiency,using DEA and panel Tobit model.The results show that government R&D subsidies have a significant promotion effect on innovation efficiency;highway density,intellectual property protection,R&D personnel size,education expenditure scale,government R&D subsidies to universities have a positive impact on technological innovation efficiency;government R&D subsidies to universities,foreign direct investment,and the intensity of intellectual property protection have a positive impact on the effect of government R&D subsidies.The proportion of state-owned property rights and the government’s R&D subsidies to scientific research institutions have a negative impact on the government’s R&D subsidy effects.The degree of industrialization has no significant effect on the effect of government R&D subsidies.Based on this,this paper makes corresponding policy suggestions.
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