政府干预、知识资源与区域创新绩效

构建政府干预与区域创新绩效知识资源门限模型，利用中国 2003-2017年省际面板数据，实证分析政府干预对区域创新价值链绩效影响知识资源的门限效应和时空异质性。结果表明：在技术开发阶段，政府干预阻碍了区域创新绩效提升，但随着知识资源增长，阻碍作用逐渐降低；在技术吸收阶段，政府干预在高知识资源区域比在低知识资源区域更不利于区域创新绩效提升；在成果转化阶段，政府干预在高知识资源区域比在低知识资源区域更有利于区域创新绩效提升。R&D资本投入、R&D人力投入与对外开放度正向影响创新价值链3个阶段，但创新环境、人力资本水平、自然资源对创新价值链的影响则存在较大差异。政府干预对区域创新绩效并非起到线性阻碍作用，受知识资源水平的影响存在显著创新价值链阶段性差异，这一结论的重要启示是政府干预应基于资源和动态演化视角进行资源配置。

Government Support，Knowledge Resources and Regional Innovation Performance：Double Threshold Effect Based on Value Chain Perspective

This paper constructs the knowledge resource threshold model of government support and regional innovation performance,and uses the inter-provincial panel data from 2003 to 2017 in China to get an empirical analysis of the impact of government intervention on regional innovation value chain performance of knowledge resources threshold effect and space time heterogeneity.Results show: in the stage of knowledge creation,government support hinders the promotion of regional innovation performance,but the hindrance gradually decreases as the growth of knowledge resources；In the technology absorption phase,government support is not more conducive to innovation performance in the high knowledge resources regions than in low knowledge resources regions;in the achievements transformation stage,government support in the high knowledge resources regions are more advantageous to improve regional innovation performance than low knowledge resources regions.In these three phases of the innovation value chain,innovation capital investment,human investment and degree of openness have positive impact on innovation performance,but the innovation environment,natural resources,human capital level have big difference influence on innovation performance.the effect of government support on regional innovation performance will be influenced by the level of knowledge resources,that is to say,government intervention is not a hindrance to regional innovation performance and there are significant differences in innovation value chain.The important revelation of this result is that government intervention should be based on resource allocation and dynamic evolution.