摘要
基于2014—2020年革命老区1068个县域的非平衡面板数据,采用固定效应模型、门槛模型和中介模型实证检验数字普惠金融对革命老区城乡居民收入差距的影响。整体看来数字普惠金融及其子维度发展能显著缩小革命老区城乡居民收入差距,且存在明显的门槛效应。数字普惠金融主要通过提升第一产业发展水平和规模经济发展水平这两条路径来促进乡村居民收入增长,缩小城乡间收入差距。异质性分析结果表明,数字普惠金融对农业强县城乡间收入差距收敛的整体效应为负,相较于贫困地区,数字普惠金融对非贫困地区的收敛作用更强。建议加强县域数字基础设施的均衡布局与建设投入,推出多样化的数字普惠金融服务,培育城乡互利互惠产业体系。
Based on the unbalanced panel data of 1068 counties in revolutionary base areas from 2014 to 2020,the fixed effect model,threshold model and mediation model were used to empirically test the impact of digital inclusive finance on the income gap between urban and rural residents in revolutionary base areas.Overall,the development of digital inclusive finance and its sub-dimensions can significantly converge the income gap between urban and rural residents in revolutionary base areas,and there is a significant threshold effect.Digital inclusive finance mainly promotes the income growth of rural residents and narrows the income gap between urban and rural areas through two paths:improving the development level of the primary industry and improving the development level of economies of scale.The heterogeneity analysis results show that the overall effect of digital inclusive finance on the convergence of the income gap between urban and rural areas in strong agricultural counties is negative.Compared with poverty-stricken areas,the convergence effect of digital inclusive finance on non-poverty-stricken areas is stronger.It is suggested to strengthen the balanced layout and construction investment of digital infrastructure in counties,launch diversified digital inclusive financial services,and cultivate a mutually beneficial industrial system between urban and rural areas.
作者
雷伟
张燕
LEI Wei;ZHANG Yan(School of Economics and Management,Yan’an University,Yan’an 716000,Shaanxi China)
出处
《河南科学》
2025年第8期1197-1204,共8页
Henan Science
基金
教育部人文社会科学研究一般项目(23XJA790004)
延安大学人文社会科学项目(2022YDZX13)
延安大学研究生教育创新计划项目(YCX2023054)。
关键词
数字普惠金融
革命老区
城乡居民收入差距
门槛回归
digital inclusive finance
revolutionary base areas
the income gap between urban and rural residents
threshold regression
