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 Analysis Methods
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 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.
Guangdong-Hong Kong-Macao greater bay areainnovation networkmulti-dimensional proximitysocial network analysis
万方数据
