Measurement of County Relative Poverty, Spatial and Temporal Evolution and Risk Evaluation of Return to Poverty in Shaanxi Province Under the Perspective of Rural Revitalization
Abstract
Against the background of rural revitalization, this study makes an in-depth analysis of the measure, evolution and the risk of returning to poverty in the counties of counties in Shaanxi Province. By combining quantitative and qualitative methods, a multi-dimensional evaluation index system of relative poverty was constructed, and spatial autocorrelation model and geographical weighted regression model were used to analyze the measurement and spatiotemporal evolution of relative poverty in 78 counties (cities) in Shaanxi Province between 2014 and 2023. Furthermore, this study identified key influencing factors for the risk of returning to poverty and proposed targeted anti-poverty strategies. The results of this study show that the county relative poverty in Shaanxi province showed significant spatial agglomeration characteristics and obvious regional differences. Meanwhile, this study also found that factors such as education level, health conditions and industrial development had an important influence on the risk of returning to poverty. Based on this, this research puts forward policy suggestions such as strengthening education and medical investment and promoting industrial diversification development, in order to provide scientific basis and decision support for realizing the strategic goal of rural revitalization in Shaanxi Province.
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