The Construction Of Inclusive Finance Index And Its Application Research

Inclusive finance is an important development direction of China’s finance.The development of inclusive finance,attaching importance to eradicating poverty and achieving social equity will help China to fight poverty and fight hard.In 2020,all poverty-stricken areas and people will be lifted out of poverty and become well-off.At this time,the rural poor can eat well and wear warmly,they have basic medical security,compulsory education,and housing security.Therefore,the purpose of this study is to construct the IFI and study its application.In this paper,we use the Logarithmic Efficacy Coefficient method,the CV method based on the AHP to construct the IFI.At the same time,we use the Visual Analysis method,the CV method and the Theil Index method to analyze the differences in the IFI between regions.System Dynamics explores the influencing factors of IFI,the impact of IFI on the income gap between urban and rural residents,and the path of financial support for economic restructuring;and proposes policy recommendations based on relevant results.The IFI in China has been on the rise since 2006.Although there are still some differences between regions,the differences between regions have decreased.The top 10 provinces in terms of IFI are Shanghai,Beijing,Zhejiang,Guangdong,Chongqing,Tianjin,Jiangsu,Ningxia,Liaoning,and Fujian.More unexpectedly,Ningxia ranked 8th.Compared with 2006,the provinces with relatively backward development in 2017 have gradually upgraded.The 31 provinces were divided into four regions: eastern,western,central,and northeast.It was found that the differences in the IFI of the four regions of China were mainly contributed by differences within the four regions.Credit scale and Shibor are the main influencing factors of the IFI.The credit scale is positive,and the Shibor is negative.The IFI and the income ratio of urban and rural residents are negatively correlated,the improvement of the IFI will inhibit the expansion of the income gap between urban and rural residents.