基于随机前沿的区域产学研协同创新绩效分析：创新网络结构视角*

本文基于创新网络结构视角,利用2008—2017年中国30个省份(西藏地区和港澳台地区因数据缺失略去)的统计数据,采用随机前沿分析方法探讨了创新网络结构因素对区域创新绩效的影响;并分析了创新环境基础设施对区域创新绩效的影响效应。实证结果表明网络开放性和网络密度均与创新绩效具有正向关系,网络规模和网络结构洞的影响效应不明显。创新环境因素对创新绩效具有重要影响,信息基础设施、产业结构特征等因素对创新绩效产生正向影响,政府支持力度与研发投入强度相关假设没有得到验证。

Regional Collaborative Innovation Performance Based on Stochastic Frontier Analysis: Innovative Network Structure Perspective

The emergence of network paradigm has aroused great interest in understanding the network structure related to knowledge flow and regional innovation performance. Based on the perspective of regional heterogeneous innovation network structure, this paper discusses the influence of the structure factors of industry-university-research collaborative innovation knowledge network on regional innovation performance by using the science and technology statistics of 30 provinces in China and the stochastic frontier production function model. At the same time, the influence of regional innovation environment infrastructure on regional innovation performance is analyzed. The empirical results show that there is a positive relationship between network openness and network density and regional innovation performance in network structure, and the effect of network size and network structure hole is not obvious. Regional innovation environment factors also have an important impact on innovation performance. The study found that regional information infrastructure level, regional industrial structure characteristics, regional market openness and other factors have a positive impact on regional innovation performance.