Research On The Spatial Aggregation And Influencing Factors Of Regional Financial Risks

Regional financial risks have great destructive power and influence.If regional financial risks break out,they will not only affect the stability and security of the regional financial system,but also trigger a comprehensive financial crisis,which will damage the national economy and affect social stability.Regional financial risk prevention will be the top priority of financial work for a long time.Therefore,based on regional financial risks,the analysis of regional financial risk spatial differences and influencing factors is of great significance to maintain regional economic and financial security and stability and promote social harmonious development.This paper mainly studies from three aspects.First,according to a 2006-2016 data of 31 provinces,cities and autonomous regions throughout the country,from the economic boom,resource control,six aspects of industrial structure,banking,insurance and securities,and selected the 13 evaluation indexes,when determining the index weight,this paper USES the entropy weight method to determine the weight,measure out the national 31 provinces and cities autonomous region and the eastern Midwest regional financial risk score.Secondly,spatial econometric correlation theory points out that there is spatial correlation between things.When studying data with spatial geographical attributes,it is generally believed that the relationship between variables close to the geographical location is closer than that between variables far away.Ignoring spatial correlation for econometric analysis may lead to deviation in the analysis results.This paper investigates the spatial distribution and correlation of regional financial risks in combination with spatial location characteristics,and researches the spatial aggregation characteristics.The third is the research on the influencing factors of regional financial risks.In combination with the foregoing,regional financial risk score is determined as the explained variable,while the level of economic development scale,growth rate of fixed asset investment,price index and urban registered unemployment rate are determined as the explained variables.GeoDa was used for empirical analysis of spatial measurement to determine the influencing factors of regional financial risks.There are three conclusions in this paper.First,the financial risk is the highest in the western region,followed by the central region and the lowest in the eastern region.In terms of province,Beijing,Shanghai,chongqing and tianjin have the lowest financial risks,while gansu,qinghai and Tibet have the highest.Second,the spatialautocorrelation analysis of provincial financial risks shows that regional financial risks present certain spatial aggregation characteristics.The high-risk aggregation areas of provincial financial risks migrate from the central region to the western region,while there is no high-risk aggregation area in the eastern region.In addition,the financial risk of a region is not only affected by its own various factors,but also by external factors,especially the adverse factors in the surrounding areas.Areas with good performance of regional financial risks will bring positive effects to surrounding areas and gradually affect the improvement of the financial environment of surrounding areas.Third,the analysis results of the factors influencing regional financial risks show that the significant factors influencing regional financial risks include: regional GDP,consumer price index and urban registered unemployment rate.