Spatial characteristics and influencing factors of investment network in the automobile manufacturing industry chain of the Yangtze River Delta
The urban area dominated by urban agglomerations and metropolitan areas has become the core carrier representing China's participation in global competition and cooperation,and its internal industrial chain function organization status has a crucial impact on the integration level of urban areas.The Yangtze River Delta is one of the most open and dynamic urban areas in China,and the research on the investment network of its automobile manufacturing industry chain can provide some reference and demonstration for other urban agglomerations.The paper is based on the registration database of industrial and commercial enterprises in the Yangtze River Delta.Using methods such as social network analysis and community discovery,it analyzes the multi-scale spatial characteristics of the investment network of the automobile manufacturing industry chain as overall,upstream,and midstream links,and uses geodetectors to explore the influencing factors of each link's investment network.The results show that:(1)The overall,upstream,and midstream investment networks of the automobile manufacturing industry chain in the study area exhibit spatial structures of"dual strong core multi-center radiation","single strong core multi-center radiation",and"single weak core multi-center radiation",respectively.(2)The overall,upstream,and midstream investment networks of the automobile manufacturing industry chain in the delta can be divided into 4,4,and 6 communities,respectively,and the modularity level of the midstream is good.(3)The urban node centrality high-value areas of the overall and upstream investment network are mainly distributed along the"Shanghai-Nanjing-Hefei-Hangzhou-Ningbo"development belt and the southern coastal development belt.(4)The level of policy support,economic industry level,external economic level,and human resource level are the main factors that affect the spatial pattern of investment networks in various links of the automotive manufacturing industry chain,but the impact intensity of the same factor on different links varies.(5)The interaction detection results show that the different influencing factors of the investment network in each stage interact and exhibit two types of enhancement:dual factor enhancement and nonlinear enhancement,with the dual factor enhancement effect dominating.The relevant research results are of great significance for enhancing the industrial division of labor and cooperation among cities within the Yangtze River Delta,and promoting regional integration development.
industry chaininvestment networkspatial characteristicsinfluencing factorsYangtze River Delta