Abstract

In addition to being necessary for the stability, coordination, and sustainable growth of the national economy, narrowing the urban–rural income gap is also an “Important national matter” for the long-term security of the nation. “Big mountain areas, big cities, big reservoir areas, big rural areas, and ethnic areas” are all present in the municipality of Chongqing. All of the poverty-stricken counties have been lifted out of poverty, despite the promotion of targeted poverty alleviation and other policies, significant urban–rural income gaps remain. In view of the current research, there has been no in-depth discussion on the correlation between urban and rural income gap and poverty levels in various regions, and there has been no in-depth discussion on the spatial correlation and spillover effects of various influencing factors. This paper employs panel data from 2010 to 2021 for 37 counties in Chongqing; based on an analysis of the characteristics of the urban–rural income gap’s spatial pattern and spatio-temporal evolution, it classifies each county (city and district) as either a non-poverty or poverty-stricken county and uses spatial econometric models to conduct an in-depth study of the influencing factors and spillover effects of the urban–rural income gap in Chongqing. The outcomes of our analysis of the influencing factors reveal that the level of fixed assets investment, the per capita spending of public funds, the proportion of rural employees, the proportion of grain sowing, the amount of agricultural fertilizer applied per unit area, the proportion of real estate development investment, and population density variables are important causes of the URIG in Chongqing. The spillover effects of these factors vary between poverty-stricken and non-poverty-stricken counties. This paper aims to provide reference to policymakers to design measures to narrow the urban–rural income gap and advance the urban–rural coordinated development strategy on the basis of a thorough examination of the spatial and temporal evolution, influencing variables, and spillover effects of the urban–rural income gap in Chongqing.

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