In view of the relationship between digital inclusive finance and rural industry revitalization,the panel data of 30 provinces(autonomous regions,municipalities directly under the Central Government)in China except Xizang,Hong Kong,Macao and Taiwan from 2011 to 2021 was selected,respectively the DEA-BCC model and DEA-Malmquist index method were used to conduct a static and dynamic analysis on the efficiency of digital inclusive finance in serving rural industry revitalization in China based on the national perspective and the regional perspective.Based on this,kernel density estimation was applied to analyze the temporal and spatial evolution of the total factor productivity of digital inclusive finance in serving rural industry revitalization.The results indicate that the total factor productivity of the eastern,western,central and northeastern regions is generally declining,mainly due to slow technological progress.Overall,the decline in total factor productivity of digital inclusive finance in serving rural industry revitalization across the country shows an overall narrowing trend,the regional differences are constantly narrowing.The core density distribution of the efficiency of digital inclusive finance in serving rural industrial revitalization in Northeast China shows a bimodal trend and obvious polarization,indicating significant differences in development levels within the region.It was suggested that the role of digital finance in agricultural technological advancement should be strengthened,efforts should be made to enhance the training of rural financial talents,and the regulation of rural digital inclusive finance should be reinforced.
关键词
数字普惠金融/乡村产业/DEA-Malmquist指数/核密度估计
Key words
Digital financial inclusion/rural industries/DE A-Malmquist index/kernel density estimation
维普
万方数据