The Financial Agglomeration Spatial Pattern And Influencing Factors About Urban Cluster Of Chengdu Plain

The financial industry is information-intensive industries, and its main role is to achieve efficient allocation of resources. Therefore, the course of its development exists remarkably economies of scale and economies of scope. This characteristic of the financial sector has led to great economic benefits from agglomeration, so the process of financial sector development is actually the agglomeration of financial resources. The financial agglomeration phenomenon has aroused wide attention of scholars, and a lot of scholars studied the phenomena from the perspective of the formation of financial center. Current studies about financial agglomeration tend to aim at more economically developed areas, few studies choose the underdeveloped region. This article choose urban cluster of Chengdu plaint to study, and conducted intensive studies about the spatial pattern and influence factors of regional financial agglomeration.At first, this paper reviews the theory of financial agglomeration, and then selects eight indicators, using Generalized Principal Component Analysis to measure financial agglomeration level of urban cluster of Chengdu plaint from 2005 to 2014, and construct a reasonable index system. After that, this paper uses Moran’s I to measure spatial autocorrelation of financial agglomeration, and using ESDA method examines the spatial distribution of financial agglomeration about urban cluster of Chengdu plaint. Finally, this paper analyzes the influence factors of financial agglomeration in urban cluster of Chengdu plaint and builds spatial autocorrelation model to test and get conclusions as follows.Firstly, the space factor is one of the factors affecting the financial agglomeration. In the model, the space factor regression results are very significant.Secondly, the empirical results show that between efficiency of information transmission and financial agglomeration exists negative correlation, and most models are significant. This may because information transmission efficiency promoting financial agglomeration in center city, but for the outside city, it is great reverse acting.Thirdly, the regression results show that the economic base and capital investment has a strong positive correlation between financial agglomeration. Urbanization level, industry support factor also have a positive impact of financial agglomeration.