Spatial and temporal differences and convergence analysis of multidimensional relative poverty in ethnic areas.

ABSTRACT: Reducing multidimensional relative poverty is one of the important issues in the current global poverty governance field. This article takes 12 ethnic regions in China as the research object and constructs a multidimensional relative poverty measurement system. The calculated multidimensional relative poverty index is decomposed according to provinces, cities, dimensions, and indicators. Then, the Dagum Gini coefficient and convergence analysis are used to analyze spatiotemporal heterogeneity and convergence characteristics. The results show that the multi-dimensional relative poverty situation of various provinces in ethnic minority areas has improved from 2012 to 2021, among which Tibet province is the most serious and Shaanxi is the best. According to the analysis of convergence, it was

SUBMITTER: Cheng J 

PROVIDER: S-EPMC10990239 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature