| In recent years,P2 P online lending has developed rapidly in China,and its ability to serve the real economy is becoming stronger and stronger.However,with the rapid development of P2 P online lending in China,there are also serious problems of unbalanced regional development.Specifically,in terms of the number of P2 P online lending platforms in normal operation,transaction volume and loan balance,the development of P2 P online lending in Beijing,Shanghai,Guangdong and Zhejiang is significantly better than that in other regions,while the development of P2 P online lending in Neimenggu,Ningxia,Hainan and Qinghai is significantly worse than that in other regions.Based on the spatial perspective,this paper studies the influencing factors of regional differences in P2 P online lending,and puts forward policy suggestions to promote the balanced development of P2 P online lending in different regions.The research methods used in this paper include factor analysis,multidimensional scaling analysis,ordered clustering of panel data,homogeneity of variance test,spatial econometrics,and ordered multiclassification logistic regression model.Factor analysis method is used to construct indicators from ten aspects to comprehensively evaluate the development of regional P2 P online lending.The spatial correlation analysis is used to analyze the spatial characteristics of P2 P online lending development.The development of P2 P online lending is divided into four levels by using multidimensional scaling analysis,ordered clustering of panel data and homogeneity test of variance,and the significance of differences among levels is tested.The spatial econometric model is established to analyze the macro influencing factors of the differences from the aspects of economic development level,Internet technology,credit environment,government intervention strength and legal environment.An orderly multi-classification logistic regression model is established to analyze the influence of practitioners and investors on regional differences.Firstly,this paper analyzes the development status,platform operation mode and regional differences of P2 P online lending in China.Then,factor analysis is used to comprehensively evaluate the development of P2 P online lending in different regions from the number of normal operating platforms and the volume of online lending.Then,by using the spatial correlation analysis method,the spatial characteristics are analyzed,and the development situation of P2 P online lending in different regions of China is divided into four levels,the significant differences between levels are tested.Then,the spatial econometric model and the ordered multi-classification logistic regression model are used to analyze the environmental factors and industry internal factors affecting the regional differences.Finally,the paper puts forward some policy suggestions to promote the development of P2 P online lending.The findings are as follows: first,there is a positive spatial correlation in the development of P2 P online lending in China,which is manifested by the spatial agglomeration characteristics of high value-high value and low value-low value.Secondly,according to the development of P2 P online lending,regions can be divided into four levels,that is,regions with good,general,poor and extremely poor development of P2 P online lending;Third,after considering the influence of spatial factors,the development of P2 P online lending is affected by macroeconomic factors such as the level of economic development,internet technology,credit environment,government intervention and legal environment.Fourth,the situation of P2 P online lending practitioners and major investors will also affect the regional development differences. |
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