[Coupling between ecological environment vulnerability and multidimensional poverty: An empirical analysis from 1586 poverty-stricken villages in Hechi City, Guangxi, Southwest China].

Examining the interaction mechanism between ecological environment and regional poverty at fine scale is an important prerequisite and guarantee for sustainable development of resources, environment and social economy from the combined perspectives of precise poverty alleviation and rural revitalization. We established the evaluation models of ecological vulnerability, multidimensional poverty, and the coupling coordination degree model, beased on which we systematically and comprehensively revealed the interaction between ecological environment and multidimensional poverty. The test results from 1586 administrative villages showed that the higher-vulnerability area of ecological environment was mainly distributed in the southeast region.

[Multidimensional poverty measurement of poverty-stricken counties in China's 14 conti-guous destitute areas considering ecological environment].

As an important part of the national poverty alleviation strategy in China, monitoring of poverty-stricken counties is the precondition and guarantee for implementing national precise poverty reduction strategies. Taking 724 poverty-stricken counties in 14 contiguous destitute areas as the study area, we designed a county-level multidimensional poverty measurement index system that reflected the economic state (poverty appearance), social state (living guarantee ability) and ecological environment state (potential capacity of regional development) in fully consideration of the interdependent relationship between ecological vulnerability and economic poverty, and analyzed the poverty degree, poverty type, causes of poverty and the spatial distribution characteristics in multi-scale and multi-angle levels. The results showed that the distribution of poverty level of different counties represented a geometrically olive-shaped pattern that was larger in lower and moderate impoverished counties and smaller in low and high poverty-stricken counties.