| With the development of globalization,the development of information technology,and the advancement of urbanization,urban groups are becoming increasingly important and become a new competitive force.General Secretary Xi Jinping proposed on January 3,2020 to speed up the establishment of the "Chengdu-Chongqing Shuangcheng Economic Circle" to promote it into a high-quality growth pole for rapid development in the west.In this context,improving the space structure of the urban agglomeration has become the focus of attention from all parties.From the perspective of the financial level of Shuangcheng Economic Circle in Chengdu-Chongqing,the analysis of its space related network and influencing mechanism is of great significance to promote the coordination,health and sustainable development of the Chengdu-Chongqing region.This study takes the Chengdu-Chongqing Twin Cities Economic Circle as the research area,and analyzes the financial development level and financial agglomeration evolution of the Chengdu-Chongqing Twin Cities Economic Circle based on the spatial organization relationship of financial service institutions in four different time points in 1997,2005,2015 and 2022.Then,combined with the social network analysis method,the network structure and the evolution characteristics of the status of node cities in various financial industries(banking,insurance,securities)are analyzed.Finally,the QAP method is used to explore the driving mechanism change mechanism of urban network.The specific content and conclusions are as follows:(1)Combined with previous literature,a financial index system that can reflect the financial level of the Chengdu-Chongqing Twin Cities Economic Circle was constructed,and the financial index panel data of the Chengdu-Chongqing Twin Cities Economic Circle in 2012～2022 was collected,and the factor analysis method was used to comprehensively evaluate and analyze the financial development level of the Chengdu-Chongqing Twin Cities Economic Circle,and its spatial characteristics were analyzed by spatial autocorrelation,and then the financial agglomeration characteristics were explored through kernel density analysis and multi-distance spatial clustering analysis.It is concluded that the financial level and degree of agglomeration are mainly based on the dual core structure of the main urban areas of Chengdu and Chongqing,while other urban areas and counties are in a marginal position.The financial development level of most urban areas and counties in the Chengdu-Chongqing Twin Cities Economic Circle is lower than the overall level,and there is a huge gap in financial development,showing a very unbalanced state.(2)Through the chain network model,the spatial association matrix of financial network from the perspective of financial industry,banking industry,insurance industry and securities industry is constructed,and the network structure characteristics are analyzed by using Ucinet software,and the overall financial network shows a trend of spreading to the surroundings centered on Chengdu,and with the evolution of time,the connection density and connection intensity continue to increase,and they all have the characteristics of "core edge" and cohesive subgroup.There are also certain differences in the financial network from the perspective of different industries,and the intensity of financial netwo rk connections from the perspective of the banking industry is significantly higher than that of the insurance industry and the securities industry.In general,from the perspective of the three financial industries,the network density and connection intensity of the ChengduChongqing Shuangcheng Economic Circle gradually increased,and it had strong characteristics of "small world" and scale-free network.In terms of industries,the bank network is relatively balanced and close,forming a fan-shaped pattern with Chengdu as the core radiating to surrounding cities.The insurance network evolved from a polarized development model with Chengdu as the core to a polycentric network,and formed a diamond-shaped skeleton of Nanchong-Chengdu-Luzhou-Guang’an.The network connection form of securities is relatively stable,showing strong network hierarchy characteristics.(3)QAP regression was used to analyze the correlation of the influencing factors of the financial correlation network of the Chengdu-Chongqing Shuangcheng Economic Circle,and then the driving mechanism was analyzed.Using QAP regression analysis,it is found that the driving factors of the financial spatial correlation network of the Chengdu-Chongqing Shuangcheng Economic Circle vary by period and industry,and the analysis results show that the five influencing factors of urban administrative level,financial service scale,fixed investment,opening up and economic development level are the key factors affecting the structural characteristics of the financial spatial association network.The innovations in this article are summarized as follows:(1)This paper studies the urban network evolution mechanism of the Chengdu-Chongqing Twin Cities Economic Circle,which is less relevant than that of developed urban agglomerations in the east such as the Yangtze River Delta and Beijing-Tianjin-Hebei.In addition,previous urban network studies mostly used gravitational models to measure the network,which was difficult to reflect the real exchange of material flows between cities.Based on the relational data measurement of enterprise spatial organization,this paper analyzes the financial level and network structure evolution characteristics of enterprise organization association network at four different time points from 1997 to 2022,and attempts to combine factor analysis,social network analysis and QAP influencing factor analysis in SPSS software to study the spatial correlation network and influencing factors of financial development in Chengdu-Chongqing Shuangcheng Economic Circle.(2)In the past,the study of urban network mainly analyzed the structural characteristics of urban networks at a certain point in time,and did not analyze the evolution characteristics of different time points in longitudinal comparison.This paper describes the network status of node cities and describes the evolution characteristics of urban networks,such as the basic evolution characteristics of the network,the core-edge structure,and the analysis of cohesive subgroups.In addition,this study quantitatively analyzes the lack of evolutionary mechanisms of network drivers at different time points,and puts forward scientific and effective policy recommendations. |
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