Abstract
Taking 716 poverty-stricken counties in China 's 14 contiguous destitute areas as study area, this research uses the county-level multi-dimensional poverty measurement model to measure poverty, and reveal the spatio-temporal distribution characteristics of poverty by spatial autocorrelation and weighted kernel density estimation. The results show that: As far as the distribution of poverty-stricken counties is concerned, there exists a spatial heterogeneity distribution, presenting a typical stepped structure that is west-high vs. east-low, where different levels of dotted poverty kernels are scattered. The multidimensional characteristics of poverty-stricken counties represent a globally strong spatial dependence. The characteristics of poverty distribution on both sides of the Hu Huanyong Line are obviously different.
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