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Research On The Measurement Of China's Financial Inclusion Level And Its Influencing Factors

Posted on:2018-08-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2359330536472836Subject:Finance
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Based on the current stage of economic growth in China,the economic slowdown,the financial system reform into the deep water area,and the financial development process is still deep enough,the operation efficiency is not high,the service economy and the ability to prevent the lack of realistic background.Therefore,based on the study of predecessors,this paper constructs the framework of theoretical analysis,and builds a comprehensive financial inclusion evaluation index system based on the availability,utilization and utility of banking,insurance and securities industry services,Using the coefficient of variation coefficient and the European distance method to construct the comprehensive financial inclusion index,and use the panel data of 31 provinces(municipalities and autonomous regions)to measure and analyze the financial inclusiveness level of our country,and further empirical analysis of the influencing factors of China's financial inclusive level,with a view to improving the level of financial inclusion and promote the development of China's financial inclusive development of a sustainable road.The main contents include:(1)combined with relevant literature and theory,to define the connotation of financial inclusion.;(2)from a number of perspectives to sort out the current status of China's financial services,and analysis and reflection.;(3)a comprehensive analysis of the existing domestic and foreign financial inclusion evaluation index system,from a number of dimensions to build China's financial inclusion level of the evaluation index system;(4)the use of European distance method to measure the level of financial inclusion in China,and to further measure the level of China's financial inclusive level of the province's financial inclusive level of the index system,from a multi-dimensional perspective to build a measure of China's financial inclusive level of indicators system;(5)combined with the theoretical analysis of the influencing factors of financial inclusion,the use of provincial panel data and multiple regression analysis of the impact of financial inclusion level of specific factors;(6)on the basis of the regression analysis of theinfluencing factors,the theory and reality are combined to put forward the policy suggestions to improve the level of financial inclusiveness and promote the development of financial inclusive.The paper concludes with the research paradigm of combining theory with practice,normative analysis and empirical analysis.The conclusion of the study is as follows:(1)From 2005 to 2014,China's financial inclusion level is generally low.From the calculation results of the financial inclusion index,the overall level of financial and financial inclusion in China is low,with the exception of Beijing and Shanghai reaching a high degree of inclusion.The inclusive indices of the other provinces are between 0.3and 0.5,and most provinces Moderate tolerance level.(2)From a dynamic point of view,China's financial inclusive level has improved.On the one hand,from the provinces,the level of financial inclusion is on the rise,in2005 there is no province of the financial inclusion index of more than 0.5,more than0.35 provinces only Beijing,Shanghai,Jiangsu,Zhejiang,Liaoning,Guangdong,Shandong,The financial inclusion index of more than 0.5 in 2014 for Beijing and Shanghai,the rest of the provinces are more than 0.35;the other hand,the national financial inclusion of the average level is also rising in 2005,31 provinces of financial inclusive level of 0.3514,In 2009 exceeded 0.4,by 2014 China's financial inclusive index average of 0.4242.(3)There are significant regional differences in the level of financial inclusion in China.There are differences between the inter-provincial financial inclusiveness level and the increasing trend.The difference between the four regional differences shows that the gap between the groups and the gap between the groups is expanding,so that the regional differences are also The regional differences in the eastern,western and northeastern regions are relatively small,and the regional differences in the eastern region are relatively small,and the regional differences in the eastern,western and northeastern regions are relatively small.The difference contributes significantly to the total difference.(4)Many factors will make different effects to the China's financial inclusive level,such as the economic,social environment,humanities and other factors.From the empirical results,in all the variables,in addition to the level of urbanization is not significant,the economic growth rate,industrial structure,income level,information level,traffic convenience and education level are significant at different levels,theprovinces economy Growth rate,industrial structure,income level of urban residents,urbanization level,informationized water,traffic convenience and education level are positively correlated with financial inclusion level,while per capita net income of rural residents is negatively correlated with financial inclusion level.From the point of view of the influence of financial inclusion level,it is the level of informationization,education level,economic growth rate,industrial structure,per capita disposable income of urban residents and traffic convenience.Based on the above conclusions,the policy recommendations presented in this paper include:(1)adjusting the industrial structure and promoting sustainable economic growth;(2)accelerating the development of information technology,innovating financial services and financial products;(3)strengthening infrastructure construction Ecological environment;(4)to improve the level of education,increase the promotion and popularization of financial knowledge;(5)the implementation of differentiated policy measures,while strengthening interregional financial cooperation.
Keywords/Search Tags:Financial Inclusion, Regional Difference, Tobit Model, Influencing Factors
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