摘要
本文以2013-2022年中国31个省份为研究对象,基于区位熵值法度量金融集聚水平,构建泰尔指数衡量城乡收入差距,运用OLS基准回归模型和分位数模型实证分析金融集聚对城乡收入差距的影响。研究结果表明:金融集聚会拉大我国的城乡收入差距,且金融集聚水平对于存在城乡收入差距程度不同的地区影响程度不同。金融集聚对城乡收入差距的影响存在地区异质性,对于东部地区而言,金融集聚对城乡收入差距无明显作用。对于中部、西部地区而言,金融集聚会显著拉大城乡收入差距。对于存在城乡二元经济结构的东北地区而言,金融资源的集聚也会扩大城乡收入差距。基于此,为缩小城乡收入差距,应因地制宜地提出相关政策建议。
This paper takes the 31 provinces in China from 2013 to 2022 as the research object,based on the entropy value method to measure the level of financial agglomeration,and constructs the Theil index to measure the urban-rural income gap.It uses the OLS benchmark regression model and quantile regression model to empirically analyze the impact of financial agglomeration on urban-rural income gap.The research results show that:Financial agglomeration will widen the urban-rural income gap in China,and the impact of financial agglomeration on the degree of urban-rural income gap is different in different regions with urban-rural income gap.The impact of financial agglomeration on urban-rural income gap has regional heterogeneity.For the eastern region,financial agglomeration has no significant impact on urban-rural income gap.For the central and western regions,financial agglomeration will significantly widen the urban-rural income gap.For the Northeast region with a dual urban-rural economic structure,the concentration of financial resources will also widen the urban-rural income gap.Based on this,in order to narrow the urban-rural income gap,relevant policy recommendations should be proposed according to the local conditions.
作者
张丽
洪晓婷
ZHANG Li;HONG Xiaoting(Hulunbuir University,Hailar,Inner Mongolia 021008;Gangdong University of Finance,Guangzhou,Guangdong 510521)
出处
《呼伦贝尔学院学报》
2024年第5期90-97,共8页
Journal of Hulunbuir University
关键词
金融集聚
城乡收入差距
分位数回归
financial agglomeration
urban-rural income disparity
quantile regression