Introduction

IF 1.5 4区 社会学 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Ximing Yue, Shi Li
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引用次数: 0

Abstract

multidimensional a low overlap and show intertemporal synchronisation over time. This paper concludes that a suitable multidimensional poverty identification frame-work should be developed in post-2020 poverty alleviation, and new development strategies should be formulated with a more pronounced focus on the poverty of special groups such as poor children and the elderly. The third paper, ‘ Multidimensional poverty and types of impoverished counties in Gansu province of China ’ , is co-authored by Zhang, Weinan Gu, and Jianpeng Zhang. By measuring the multidimensional poverty indices of 75 poverty-stricken counties in Gansu province, this paper identifies the specific factors leading to poverty and different types of impoverished counties, and puts forward policy recommendations for poverty alleviation. The results from this paper show that more than half of the poverty-stricken counties in Gansu province have a degree of multidimensional poverty that is below the median poverty level. This paper also finds that the main factors contributing to poverty in the impoverished counties in Gansu province are the lack of education, the shortage of land and water resources, inadequate medical and health services, and under-employment. The degree of each indicator that contributes to poverty shows spatial vari-ation as well. The results indicate that, to shore up the weak links in the local economic and social development, the different types of poverty-stricken counties should take more precisely targeted measures to reduce poverty. Obviously, these three papers are closely related to China ’ s poverty reduction theories practices the 40-plus years. They not only help us understand the characteris-tics and evolution of China ’ s poverty reduction in the past, but also indicate the need to shift the focus of poverty reduction policies in the future, which is essential to prevent the poor from slipping back to poverty and further lift them to the middle income group in the process of achieving common prosperity in China.
介绍
多维度-低重叠和显示跨时间同步随着时间的推移。本文认为,2020年后中国的扶贫工作应构建合适的多维贫困识别框架,制定新的发展战略,重点关注贫困儿童、贫困老人等特殊群体的贫困。第三篇论文《中国甘肃省贫困县的多维贫困与类型》由张建鹏、顾伟南和张建鹏共同撰写。本文通过对甘肃省75个贫困县的多维贫困指数测算,识别出导致贫困的具体因素和不同类型贫困县,并提出扶贫政策建议。研究结果表明,甘肃省半数以上贫困县的多维贫困程度低于贫困中位数。本文还发现,甘肃省贫困县贫困的主要因素是教育缺乏、土地和水资源短缺、医疗卫生服务不足和就业不足。导致贫穷的每项指标的程度也显示出空间差异。研究结果表明,不同类型贫困县应采取更精准、更有针对性的扶贫措施,补强当地经济社会发展中的薄弱环节。显然,这三篇论文与中国40多年的减贫理论实践有着密切的联系。这不仅有助于我们了解中国过去减贫的特点和演变,也预示着未来减贫政策的重心需要转移,这对于在实现中国共同富裕的过程中防止贫困人口返贫,进一步将其提升到中等收入群体至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Economic and Political Studies-EPS
Economic and Political Studies-EPS SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
5.60
自引率
4.20%
发文量
29
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