中国省域数字普惠金融发展影响因素分析——基于GTWR模型

Analysis of Influencing Factors on the Development of Digital Inclusive Finance in China’s Provinces——Based on GTWR model

基于2011—2020年中国省级面板数据,以数字普惠金融为研究对象,引入时空地理加权回归模型(GTWR),将时间和空间信息纳入研究模型中,从空间异质性的视角考察各省经济发展程度、传统金融发展水平、信息化建设、政府干预程度和产业结构等对数字普惠金融的影响。研究发现,各个因素都对数字普惠金融的发展产生不同程度的正向促进作用,通过绘制可视化地图发现,各个因素的促进作用在空间分布中呈现明显的个体差异和递增的空间集聚效应。应继续发展经济,发挥金融机构作用,加强基础信息建设,加大政府扶持和监管力度,优化产业结构。

Based on China’s provincial panel data from 2011 to 2020, taking digital financial inclusion as the research object, the spatiotemporal geographic weighted regression model(GTWR) was introduced to incorporate temporal and spatial information into the research model to examine the influence of five aspects(economic development, traditional financial development, informatization construction, government intervention and industrial structure) on digital inclusive finance in China’s provinces from the perspective of spatial heterogeneity. The study found that each factor has a positive effect on the development of digital financial inclusion to varying degrees. By drawing a visual map, it is found that the promotion effect of each factor has obvious individual differences and increasing spatial agglomeration effects in the spatial distribution. We should continue to develop the economy, give full play to the role of financial institutions, strengthen the construction of basic information, increase government support and supervision, and optimize the industrial structure.