An Spatial Statistical Analysis On The Financial Agglomeration?Economic Growth And Urban-rural Resident Income Difference

China's financial industry also breaks the limitations of the traditional region under the impetus of the economic globalization,our financial industry gradually concentrates on a special region and forms a large number of urban agglomeration with different financial and economic development.According to the Gini coefficient of the residents' income released by the national bureau of statistics,the income distribution gap among urban and rural residents in china and every urban agglomeration is very large.This dissertation mainly analyzed the influence of financial agglomeration and economic growth difference degree on income difference between urban and rural residents in the top urban agglomerations,and we gave the possible policies and advice according to the analysis.The main contents are as follows:(1)According to the economic development data of ten major urban agglomerations from 1996 to 2015,the financial agglomeration can be divided into four parts: banking,securities industry,insurance industry and financial employment density,building the measurement index system of the financial agglomeration,the economic growth and the income difference of between urban and rural residents.Using the location entropy the per GDP proportion index and the Theil index,the measure index of financial agglomeration?economic growth and income difference between urban and rural residents were obtained and the corresponding evaluation analysis was given.(2)Using the spatial metrological method,the annual moran's I index of each city group was calculated to determine whether there is spatial autocorrelation.Selecting the appropriate spatial regression analysis,the spatial lag model and error model were established to test the four indexes of agglomeration and the influence of the control variables on the economic growth and the income difference between urban and rural residents.