Spatial heterogeneity and quantile effect of rural revitalization on urban-rural income gap—an empirical study based on Bayesian spatiotemporal quantile regression model in multiple dimensions
In order to accurately understand the impact of rural revitalization on the urban-rural income gap,the Theil index and entropy weight method were used to evaluate the urban-rural income gap and rural revitalization.The Bayesian spatiotemporal quantile regression model was used to empirically analyze the spatial heterogeneity and quantile effects of rural revitalization on the urban-rural income gap.The results show that rural revitalization helps to narrow the urban-rural income gap,in which industrial prosperity and prosperity of life have the greatest reverse effect.The impact of rural revitalization on the urban-rural income gap has spatial heterogeneity.The reverse effects of industrial prosperity,effective governance and prosperity of life are most evident in the southwest and northwest regions.The ecological livability is mainly reflected in the eastern region,while rural civilization is mainly reflected in the central and northeast regions.The reverse effect of rural revitalization on the urban-rural income gap has a quantile effect.The reverse effect margin of industrial prosperity increases with the increase of quantile level,the reverse effect margin of ecological livability presents a"V-shap",the reverse effect margin of rural civilization and effective governance decreases with the increase of quantile level,and the reverse effect margin of prosperity of life presents an"inverted V-shape".
rural revitalizationurban-rural income gapspatial heterogeneityquantile effect
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