Research On The Impact Of Digital Inclusive Finance On Multidimensional Poor Groups

In recent years,after China has completed the task of poverty alleviation,relatively poor groups have become the focus of consolidating and expanding the achievements of poverty alleviation and preventing poverty return.With the popularization and application of new technologies such as big data analysis,as well as the increasing improvement of residents’ income management level and investment and financial management awareness,the poverty alleviation effect of digital finance has gradually become prominent.Compared with the traditional indicator system with income as a single identification dimension,Multidimensional Poverty identification comprehensively considers multiple indicators for judgment,which makes the judgment results more accurate and reliable.Accurately identifying multi-dimensional poor people and studying how to carry out multi-dimensional poverty alleviation through digital inclusive financial services can not only provide empirical basis for relevant government departments to understand the current development of digital financial services,but also provide theoretical reference for government departments to put forward the policy direction of developing digital financial services in the next stage,but also help to further promote the improvement of citizens’ living standards,which has important theoretical and practical significance.Firstly,this thesis comprehensively selects indicators to build a multi-dimensional poverty identification system,and selects 14 indicators from six dimensions: health,education,living standards,income,medical services and employment.The research object of the identification system is families,and the relevant indicators adopt annual data.The sample interval is the survey year from 2010 to 2018.Through calculation,various Multidimensional Poverty indexes of various regions can be obtained,and the index values under different division conditions are analyzed and discussed.Secondly,build a two-way fixed effect model of digital inclusive financial index and Multidimensional Poverty comprehensive score.Then,the endogenous problem of the model is solved and the robust test is carried out.Finally,the impact mechanism of digital Inclusive Finance is discussed and the heterogeneity is analyzed.The results show that the multi-dimensional poor families identified by the multi-dimensional poverty identification system can more accurately describe the incidence and depth of multi-dimensional poverty in various regions of China,and analyzing the contribution value of each index dimension can provide guidance and suggestions for the implementation of policies.The indicators can be classified according to urban and rural areas and their geographical location for comparative analysis.Taking the comprehensive score of family Multidimensional Poverty as the explanatory variable,combined with the digital inclusive financial index of Peking University from 2011 to 2018 as the explanatory variable,a two-way fixed effect model is constructed.From the regression results,it can be found that the coefficients of digital inclusive finance index in all models are significant,which represents the negative impact on the multi-dimensional poverty degree of families.That is,when the development depth and breadth of digital finance are greater,it can alleviate and reduce the average multi-dimensional poverty degree of families.At the same time,it also calculates the more robust test results of the model.The results show that the poverty reduction effect of digital finance is stronger in areas with low education level.Grouping regression by region shows that the poverty reduction effect of digital finance in the central region is significant.By analyzing the relationship between family participation in the financial market,family multi-dimensional poverty and digital inclusive finance index,it is found that digital inclusive finance can improve the total financial assets of families,that is,to alleviate family multi-dimensional poverty by enhancing residents’ willingness to participate in the financial market.Therefore,the government should pay attention to the poverty reduction effect of digital finance,pay attention to the construction,publicity and education of relevant hardware and software,promote the combination of theory and practice,track and monitor the implementation effect of policies,and strengthen risk control management.