Jiangsu University of Science and Technology, School of Humanity & Social Science, Zhenjiang, China.
PLoS One. 2024 Apr 3;19(4):e0301679. doi: 10.1371/journal.pone.0301679. eCollection 2024.
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 observed that there is no σ-convergence of multidimensional relative poverty in ethnic areas in general, and there is absolute β-convergence in general and in the southwest and northwest regions, and there is no absolute β-convergence in the northeast region. Based on this, policy recommendations for reducing multidimensional relative poverty are proposed at the end of the article. Compared with previous studies, this article focuses on ethnic regions that are easily overlooked. Starting from the dimensions of economy, social development, and ecological environment, the poverty measurement system has been enriched.
减少多维相对贫困是当前全球贫困治理领域的重要议题之一。本文以中国的 12 个民族地区为研究对象，构建了多维相对贫困测量体系。根据省份、城市、维度和指标对计算出的多维相对贫困指数进行分解。然后，采用 Dagum Gini 系数和收敛分析方法分析了时空异质性和收敛特征。结果表明，2012 年至 2021 年，各民族地区的多维相对贫困状况有所改善，其中西藏自治区最为严重，陕西省最好。根据收敛性分析，发现民族地区的多维相对贫困总体上不存在 σ 收敛，总体上以及西南和西北地区存在绝对 β 收敛，而东北地区不存在绝对 β 收敛。在此基础上，文章最后提出了减少多维相对贫困的政策建议。与以往的研究相比，本文侧重于容易被忽视的民族地区。从经济、社会发展和生态环境等维度出发，丰富了贫困测量体系。
