China's rural poverty alleviation efforts have culminated in a comprehensive victory,shifting the focus of future studies towards relative poverty.In examining this shift,the present study centers on Guangzhou,employing multi-source data to quantify relative poverty's distribution and aggregation characteristics.It utilizes a Structural Equation Model to delve into the dynamic mechanisms behind the spatial differentiation of relative poverty.The findings reveal a distinctive"high-low-high"distribution pattern of relative poverty within the city.The path analysis from the structural equation model illustrates that factors such as infrastructure,human capital,economic vitality,and the natural environment contribute to this spatial differentiation through multiple pathways.Furthermore,the study identifies three prevalent poverty models—urban decline,urban-rural integration,and rural lag—based on geographical and urban-rural distinctions.In response to these models,it proposes tailored governance strategies to address the nuanced variations in poverty across different regions.This research aims to lay a theoretical foundation for the precise governance of urban-rural relative poverty in the era following China's poverty alleviation achievements.
关键词
相对贫困/综合贫困指数/动力机制/结构方程模型
Key words
relative poverty/General Deprivation Index/dynamic mechanism/Structural Equation Model
维普
万方数据