Urban Collaborative Innovation Network and Its Influencing Factors of the AI Field in the Yangtze River Delta Region
This study explores the mechanism and influencing factors of urban collaborative innovation,and promotes the development of science&technology innovation between regions and multiple subjects.It collects patent data in artificial intelligence(AI)in the Yangtze River Delta region from 2016 to 2021,combining cities and patented technology knowl-edge to build a collaborative innovation network based on 27 cities.It analyzes the network's centrality,cohesive subgroup,and structural hole using social network analysis.Additionally,exponential random graph models(ERGM)is used to ana-lyze the influencing factors of urban collaborative innovation by combining the historical statistical indicators,city level,subordinate province,and historical experience network.We find that the urban collaborative innovation network in AI in the Yangtze River Delta region has increased in scale and stability over time,and has become balanced.Regarding the in-fluencing factors of the network,the nodes'main effect plays an obvious role in promoting development and education ex-penditure at the industrialization level.Moreover,a homogeneous tie that affects the subordinate province and administra-tive level has different effects on network development.Additionally,the network has a relatively obvious path-depen-dence trend,and the actual network of the preceding year has an important impact on the network formation in the follow-ing year.
urban collaborative innovation networkinfluencing factorspatent datastatistical indicatorsartificial intelli-genceYangtze River Delta region
NETL
NSTL
万方数据
维普
