Research On The Regional Difference And Optimization Strategy Of China's Financial Agglomeration

Financial agglomeration is the financial activities of the geography selection and the space of the adjustment and financial resources use efficiency,resulting in financial institutions,financial enterprises and other relevant financial sector within a specific region,linked to a variety of financial relationships,the formation of mutual competition and cooperation and interdependence,geographically concentrated financial industrial cluster.Therefore,this paper believes that the spatial analysis of the distribution characteristics of regional financial differences and the radiation effect can better reflect the essence of financial agglomeration.Therefore,based on China's eight regional and provincial financial industry as the research object,using the theory of industrial agglomeration theory,financial agglomeration,and the theory of spatial agglomeration,since financial agglomeration center spatial distribution characteristics,using 2007-2016 panel data,studied eight areas of China,the size of the 31 provinces,cities and the regional differences of financial agglomeration,change trend,spatial characteristics,influence factors and so on.In this paper,various statistical coefficients are used to measure the financial agglomeration degree and the difference of financial agglomeration in China from the regional and provincial perspectives.Then from the perspective of space,using the geographical weight matrix,ArcGIS software is used to describe the spatial distribution and relationship of financial agglomeration in each province.The main research contents of this paper are as follows:The first part,including the first two chapters of the article.Starting from sorting out previous research results,this paper qualitatively studies various possible factors of spatial differences in China's regional financial agglomeration by using theories,and integrates regional finance and spatial economics.Starting from the spatial characteristics of agglomeration distribution of regional financial institutions,this paper analyzes the impact of China's financial agglomeration on the financial system,financial structure and financial function by combining the theories of financial development and financial function,so as to supplement the theoretical content of the research on regional financial agglomeration.Second,deepen the geographical studyof regional financial agglomeration.The second part includes three,four and five chapters.First,China's financial industry in a statistical analysis on spatial agglomeration problem: using the financial industry output value of 2007-2016 data,and financial practitioners using fanta,index to measure China's eight regional financial concentration,with location entropy index to measure China's 31 provincial financial agglomeration degree,compare the eight regional and provincial financial level of distribution;Secondly,the trend of regional financial agglomeration in China is studied: this paper measures the difference and trend of regional financial agglomeration level in eight regions of China through GINI coefficient and Theil coefficient of financial agglomeration level space in 31 provinces and cities of China from 2007 to 2016.By using ArcGIS software to calculate the financial agglomeration differences Moran index Moran ` I,found that10 years from 2007 to 2016 of China's financial agglomeration differences Moran index Moran ` I have positive and on the rise,China regional financial agglomeration differences present space are related.;Thirdly,by using gravity model analysis,the radiation force of financial agglomeration is expressed by the total amount of financial agglomeration connection,and the network structure of financial agglomeration radiation is studied.The research results show that the radiation force of financial agglomeration and the radiation intensity of financial agglomeration between provinces and regions have increased significantly from 2007 to 2016,but the spatial pattern of the radiation of financial agglomeration has not changed significantly.Beijing and Shanghai have the highest radiation intensity.The third part includes chapters six and seven.This paper puts forward:strengthening economic infrastructure;Strengthening the strength of national economic development;Construct the strategic fulcrum of financial agglomeration;Strengthening interregional financial cooperation;Implement differentiated regional financial development model,polarization and diffusion effect,and strengthen regional financial cooperation;Implement differentiated regional financial development model and other countermeasures and Suggestions.Summary: this paper focuses on index measurement and model analysis,data collection in the central bank,wind and other databases,in the research and narrativefocus on data collection and trend change analysis.The degree of financial concentration is measured by herfendal index and the degree of financial concentration is measured by location entropy index.The difference and trend of regional financial agglomeration level through GINI coefficient and Theil coefficient;Through the use of ArcGIS software to calculate the financial agglomeration differences Moran index Moran ` I,using gravity model analysis financial agglomeration radiation intensity,etc.This article innovation point: every single study theory and index measure has some limitations,to more accurately reflect the regional difference of China's financial agglomeration,need specific combined with its economic characteristics,geographical features,history and culture and other regional economic development foundation,combined with the feature of the present financial agglomeration in the region,to make financial development strategy in the future.Conclusion: the purpose and purpose of this paper is to study the development trend of financial agglomeration in a region and a province,and to compare the research in other regions.In other words,the purpose of studying regional differences in financial agglomeration is to find out regional gaps and advantages in comparison and put forward feasible financial agglomeration strategies.