Research on the Contribution of Regional Digital Financial inclusion Based on PCA-ANN-MLP Algorithm

Abstract

Digital Financial Inclusion is a hot topic under the theme of China's economy today. Digital Financial Inclusion is an important supplement and extension of traditional Financial inclusion. Its core idea is to reduce the threshold of financial services and ease the financing difficulties of low-income groups, small and micro enterprises, and other vulnerable groups by providing low-cost and efficient financial services to the public. The empirical results of much literature show that digital Financial inclusion has narrowed the gap between the rich and the poor, which plays a vital role in the high-quality development of China's economy. Therefore, it is important to explore it's influencing factors and analyze the influencing mechanism. This study focuses on the three provinces in eastern China and applies the grounded theory approach. Utilizing data from the Peking University database, 17 factors influencing the level of digital inclusive finance are selected. PCA (principal component analysis) is used to reduce dimensions, and ANN-MLP (artificial neural network multi-layer perceptron) algorithm is used to explore the contribution factors of Digital Financial Inclusion, explore important factors, and put forward relevant suggestions. The significance of this study is that taking the three provinces in eastern China as an example, it explores the factors influencing the development of DFI in China, and makes an important contribution to the issue of how to promote the rapid development of digital Financial inclusion in China.