利用中国省域工业面板数据,采用永续盘存法估算了研发资本存量,基于空间面板计量经济模型,实证分析了省域企业、大学研发及产学合作研发投入对工业创新绩效的贡献。结果表明,没有考虑空间依赖性和异质性的经典OLS方法获得的估计结果有偏,而考虑空间效应的空间面板计量模型修正了经典估计结果;省域工业专利和新产品创新存在明显的空间自相关性和依赖性,专利创新存在空间邻近局域集群效应而新产品创新存在空间邻近局域溢出效应,企业研发资本和人力投入对工业创新绩效的贡献显著,但大学研发的影响不明显,产学合作和人力资本的贡献显著,该结论对提升区域工业协同创新能力意义重大。
Abstract
Using the industrial panel data on China's provinces, the author estimates the R&D stocks based on perpetual inventory method, and employs spatial panel econometrics regression models to positively analyze the contributions of industrial R&D investment, university R&D investment, and university-industry cooperation investment to the enterprise's innovation performance. The results show that classical OLS method without including the regional spatial dependence and heterogeneity may lead based results. The study of spatial panel econometric models including the spatial dependence and heterogeneity show that there exists obvious spatial autocorrelation and independence for Chinese patent and new product innovation, and there is spatial adjacent local cluster effects for patent innovation and spatial adjacent local spillover effects for new product innovation. The R&D investment of capital and manpower of enterprise have significant contributions to innovation performance while impact of university R&D investment is not obvious, while university-industry cooperation together with human capital do have obvious contributions. The conclusions are of great significance to promote synergetic innovation capability.
关键词
研发存量 /
研发弹性 /
大学研发 /
产学合作 /
空间溢出
Key words
R&D stock /
R&D elasticity /
university R&D /
university-industry cooperation /
spatial spillovers
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基金
国家自然科学基金面上项目(71373079)“时空效应视角下区域碳生产率趋同机制及减排策略研究”;国家自然科学基金面上项目(71373080)“中国制造业集聚和转移的趋势与机制研究:新经济地理学框架时空成本视角”;上海市科技发展基金软科学研究项目(12692102500)“上海科技支撑引领创新驱动、转型发展指标研究”。
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