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机构地区:[1]中央财经大学经济学院 [2]中央财经大学
出 处:《经济理论与经济管理》2015年第2期40-50,共11页Economic Theory and Business Management
基 金:国家社会科学基金重点项目(14AZD020)资助
摘 要:本文遵循维佐利克和哈克特(Wieczorek and Hekkert)的研究思路,构建了创新政策的作用路径模型,并在创新政策体系框架下,利用超效率DEA模型和面板数据模型,研究了创新政策对创新系统绩效的影响。研究结论表明,"政府财政科技拨款"、"政府采购政策"、"知识产权保护政策"与我国创新系统绩效呈显著的正相关关系;"研发税收优惠政策"、"金融支持政策"、"基础设施政策"与我国创新系统绩效无显著的相关关系;"教育投入政策"、"开放政策"与我国创新系统绩效之间有显著的负相关关系。据此本文提出相应的政策建议。Drawing lessons from the research thinking of Wieczorek and Hekkert, this paper constructs the function route of innovation policy. Based on the innovation policy system framework and super-efficiency DEA and panel data model, this paper studies the impact of innovation policies on the performance of national innovation system, and obtains the following important findings. The policy of government S&T appropriation, government procurement and intellectual property protection are positively correlated with the performance of China's innovation system. There is no significant correlation between the policy of R&D tax incentives, financial support and infrastructure construction and the performance of China's innovation system. Education investment policy and open policy are negatively correlated with the performance of China's innovation system. This paper gives some related policy recommendations.
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