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中国科技财政对科技创新贡献的动态估计研究——基于结构向量自回归模型的实证分析 被引量:9

Dynamic Contribution of S&T Public Expenditure to S&T Innovation in China——An Empirical Analysis Based on SVAR Model
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摘要 科技财政对科技创新不同阶段的影响及效果具有不同的特点.运用结构向量自回归模型(SVAR)研究了科技财政对科技创新阶段性的动态贡献作用.脉冲响应函数和方差分解结果表明:科技财政与科技创新正相关,且两者存在长期稳定的均衡关系;科技财政对科技创新的基础研究阶段支持作用显著,尤其在短期内对其带动作用较强,对科技成果转化阶段和产业化阶段的作用较弱.因此,政府应逐步构建稳定增长的科技财政投入机制,探索政学企、政保、政银等多元化合作模式,实施财政补偿与存款支持政策,加大科技财政在基础研究阶段的投入规模,充分发挥政府的引导与支撑作用. S&T Public expenditure has different effect on different period of S&T innovation. It concerns about dynamic contribution of S&T public expenditure on S&T innovation in different period based on SVAR. The results of the im- pulse response function and variance decomposition show that S&T public expenditure and S&T innovation are positively related, and have a hmg-term stable relationship; S&T public expenditure has a significant effect on S&T innovation in hasic research period, especially in a short term. The effect of S&T public expenditure on the transformation and indus- trialization of S&T achievements is weak. Therefore, the government should construct a stable mechanism, explore the diversified cooperation triodes among university and industry, government and bank, government and insurance companies and sn on, implement financial compensation and deposit support policy, increase the scale of S&T public expenditure in basic research period, and play a significant role on guiding and supporting in S&T innovation.
出处 《研究与发展管理》 CSSCI 北大核心 2013年第5期127-134,共8页 R&D Management
基金 国家软科学技术项目"军民结合创新体系知识产权战略管理系统及政策研究"(2010GXS5B173)
关键词 科技财政 科技创新 动态贡献 结构向量自回归 S&T public expenditure S&T innovation dynamic contribution structural vector auto regression
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