粤港澳大湾区知识创新网络演化及影响因素研究——基于多维邻近视角和社会网络分析方法

Research on the Evolution and Influencing Factors of the Knowledge Innovation Network in the Guangdong-Hong Kong-Macao Greater Bay Area--Based on the Perspective of Multidimensional Proximity and Social Network

本研究着眼于粤港澳大湾区城市知识创新联系,采用论文合著数据构建创新联系网络,使用社会网络分析方法研究大湾区创新网络空间结构特点及其演化过程。并基于多维邻近视角,探究大湾区创新网络的影响因素。结果表明:(1)大湾区创新网络密度显著增加,向心性和聚集性逐年下降;(2)创新网络由早期以广州为核心,辐射全湾区的“单中心”结构,演变为现在以广州、香港地区、深圳为中心的“多中心”格局;(3)QAP分析表明,技术邻近是影响创新网络的主导因素,制度邻近是重要动力,社会邻近的制约影响逐渐增强。

This research focuses on the knowledge innovation connection within the cities of the Guangdong-Hong Kong-Macao Greater Bay Area,constructs an innovation connection network based on co-authorship data,and uses social network analysis methods to explore the spatial structure characteristics and evolution process of the innovation network of the Greater Bay Area.Furthermore,based on the multidimensional proximity perspective,this research investigates the influencing factors of the innovation network in the Greater Bay Area.The results show that:①the density of the innovation network in the Greater Bay Area has significantly increased,while centrality and agglomeration have gradually decreased;②the"single center"structure of the innovation network,which is initially centered in Guangzhou and radiated throughout the entire Bay Area,has evolved into a"multi-center"pattern centered on Guangzhou,Hong Kong Region and Shenzhen;③QAP analysis indicates that technological proximity is the dominant factor influencing the innovation network,institutional proximity is an important driving force,and the constraint effect of social proximity is gradually increasing.