社会网络视角下跨区域产学协同创新绩效的影响因素研究

Influence Factors of Cross-regional Industry-University Collaborative Innovation Performance in the Perspective of Social Network

摘要:

本文基于社会网络分析方法,构建以中国各省份为结点、省份间协同创新绩效为联结的跨区域产学协同创新网络,以负二项回归模型探究跨区域产学协同创新绩效的影响因素。得出如下结论：个体网络的网络规模、中心度、结构洞,以及整体网络的中心势均对中国跨区域产学协同创新绩效有显著的正向影响；整体网络层面的中心势和密度负向调节个体网络层面的网络规模、中心度和结构洞对跨区域产学协同创新绩效的正向影响作用。当前,应扩大我国各省产学协同创新网络规模,促进知识流动和扩散,提高地方创新效率,辅以有效的政府资源配置,提高国家创新能力。

Abstract:

This paper uses the method of social network analysis to construct the cross-regional I-U collaborative innovation network which taking provinces as the nodes and the cooperation innovation performances among provinces as the ties. The negative binomial regression model was used to explore the influencing factors of cross-regional I-U collaborative innovation performance. The conclusions are drawn as follows: size, centrality and structure hole of the ego network and the centralization of the whole network have a significant positive effect on the cross-regional I-U collaborative innovation performance as well as the centralization and density of the whole network negative moderate the size, centrality and structure hole of the ego network on the cross-regional I-U collaborative innovation performance. Currently, the region should expand the scale to promote the flow and diffusion of knowledge, when government allocated the resource effectively. So that the innovation ability of local province and China can be improved.