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.
Highlights
The Fourteenth five-year Plan in 2020 proposes to speed up the digital planning and construction of digital China
In order to speed up the development level of digital inclusive finance, this paper focuses on the regional differences of the development level of our country, in the hope that the government can take more measures to make up for the shortcomings, reduce the regional differences, and improve the development level of digital inclusive finance as a whole[2]
Most of the existing researches on the differences of digital inclusive finance in different provinces in China use the data of a certain year for cluster analysis, they can reflect the differences in the level of digital inclusive finance in different provinces in that year, but they are lack of time dimension
Summary
The Fourteenth five-year Plan in 2020 proposes to speed up the digital planning and construction of digital China. The digital inclusive financial index is a comprehensive index reflecting the development level of digital inclusive finance. Most of the existing researches on the differences of digital inclusive finance in different provinces in China use the data of a certain year for cluster analysis, they can reflect the differences in the level of digital inclusive finance in different provinces in that year, but they are lack of time dimension. Multi-index panel data includes three dimensions: time, sample and index, which can better and more comprehensively reflect the development of digital inclusive finance in our provinces in recent years. This paper applies multi-index panel data clustering to digital inclusive finance
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