Research on the difference of Digital inclusive Finance-based on Multi-index Panel data clustering

Abstract

Objective: to understand the development level of digital inclusive finance in 31 provinces in China in recent years, so that the areas with poor development level can speed up the development. Methods: the data of Peking University Digital inclusive Financial Index from 2012 to 2018 were collected, and the optimal clustering number was determined, and then the cross-sectional data and multi-index panel data were clustered respectively. Conclusion: the level of digital inclusive finance in China shows an upward trend as a whole, but there are great differences in the development level of digital inclusive finance among 31 provinces in China, in which East China is the best, South China and Central China have a better overall development level, and North China, Northwest, Southwest and Northeast are poor in overall development level, but have provincial differences.