Analysis Of The Spatial Effect Of The Development Of Internet Finance In My Country

The development of Internet finance in China started late,but the development momentum is good and there are obvious differences in geographical development.This paper mainly uses spatial measurement and social network analysis to study the spatial effects of Internet finance development in China,including the internal logic of China's Internet finance development,the influencing factors and conduction paths of spatial effects,and so on.Provide policy advice.This paper starts from the theoretical and empirical aspects,and uses the gravity matrix to study the social network relationship of Internet finance development.At the same time,it uses the innovative index modeling such as Baidu index and network speed to introduce the social network relationship into the spatial weight matrix.The QAP method is used to analyze the conduction path and driving factors of the spatial effect of Internet finance development.In this process,we first use the Moran index to prove that the development of Internet finance is not produced out of thin air,but has a significant positive correlation with spatial geography.Secondly,by constructing the gravitational matrix of Internet finance development,it forms 31 provinces and cities in China.Relational networks,and adopting four different spatial weights including the social relationship network space weight matrix,thereby using the spatial Durbin model to analyze the influencing factors of Internet finance development in China,and exploring the spatial effects of Internet financial development such as: spatial heterogeneity,Spatial agglomeration and spatial spillover;then the social network analysis method is used to analyze the overall network of Internet finance development in China,each node network and the spatial clustering based on block model to study the conduction path generated by the spatial effect of Internet finance development in China.The development pattern;finally,using the QAP method in social network analysis,through the relationship level data of 31 provinces and cities to study the driving factors of the spatial effects of Internet finance development.The empirical results show that: 1.The development of Internet finance in China has spatial heterogeneity,spatial agglomeration and spatial spillover in 31 provinces and cities;for the four spatial weight matrices,the variables that have an important impact on the development of Internet finance are domain names.The number,the amount of express delivery,the insurance premium income,the number of undergraduates in ordinary higher education institutions and the Baidu index,these variables have a positive impact on the development of Internet finance in China;while the Baidu index often has a negative spillover effect on the development of Internet finance in neighboring provinces and cities.That is,the larger the Internet Finance Baidu Index,the level of Internet finance development in neighboring provinces and cities will be suppressed.2.The study of the conduction path uses the block model in social network analysis,and divides the development of China's Internet finance into roughly four sections.Each section has its own role orientation and has a plate linkage effect.Through the social network analysis method,the driving factors and transmission methods of the social network relationship of China's Internet finance development are studied.The driving factor research adopts the non-parametric test method of QAP,and the research finds the number of domain names and the amount of express delivery.It is the most important driving factor for the development of social networks in China's Internet finance.