GMMstimate For Sgwr Model And A Spatial Nalysis Of Regional Financial Convergence In Hina

This paper set up a GMM framework to estimate and infer Spatial GeographicalWeighted Regression Model. GMM estimates can effectively reduce the computationalcomplexity, and solved the unknown error distribution restrictions, expanding the estimationmethod for SGWR model. The following major elements:1,This paper set up a2SLS framework to estimate and infer GWR-SL model (GeographicallyWeighted Regression with Spatially Lagged Objective Variable Model).2SLS estimates caneffectively reduce the computational complexity, and solved the unknown error distributionrestrictions, expanding the GWR-SL model's estimation method.2, This paper set up a GMM framework to estimate and infer GWR-SEA model(Geographically Weighted Regression with Spatial Error Autocorrelation Model). GMMestimates can effectively reduce the computational complexity, and solved the unknown errordistribution restrictions, expanding the GWR-SEA model's estimation method.3, Using techniques of spatial econometrics, GWR and SGWR model,we study theconvergence of financial development across67counties or cities rolling over12years inZhejiang Province.It is evident that the Spatial heterogeneity and spatial dependence acrossregions is strong enough to distort the traditional measure of Convergence. Taking Spatialheterogeneity and spatial dependence into account, we find that there was a significantabsolute convergence in Zhejiang province, but the speed of financial convergence issignificantly decreased, and the convergence speed of counties or cities in Zhejiang Provinceare difference. The south counties or cities's speed of financial development are faster thanthe northern counties'. The financial development which is relatively backward can expect tocatch up with the relatively well-developed counties.The theoretical innovation of above three parts in this research separately lies in:1,This study to resolve the error term distribution in unknown conditions, provide a newresearch approach to SGWR model has important theoretical value.2,The method is applied in the study which developed provinces and cities of regionalfinancial development convergence empirical analysis, not only geographically verifiableWeighted Generalized Method of Moments Estimation for Spatial Econometric ModelResearch on the actual feasibility of, and will be extended GMM application; the same time,the first time, spatial heterogeneity and spatial correlation into the convergence of regionalfinancial development empirical research, develop regional financial developmentconvergence study.