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农村持久多维贫困测量与分析——基于贵州普定县三个行政村2004—2017年的普查数据
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  • 英文篇名:Chronic multidimensional poverty in rural China: based on the census in 2004-2017 of three villages in Puding County,Guizhou
  • 作者:程晓宇 ; 陈志钢 ; 张莉
  • 英文作者:CHENG Xiao-yu;CHEN Zhi-gang;ZHANG Li;Institute of Agricultural Economics and Development,Chinese Academy of Agricultural Sciences;China Academy for Rural Development,Zhejiang University;International Food Policy Research Institute;Agricultural Information Institute,Chinese Academy of Agricultural Sciences;
  • 关键词:深度贫困 ; 持久多维贫困 ; 致贫原因
  • 英文关键词:deep poverty;;chronic multidimensional poverty;;causes of poverty
  • 中文刊名:ZGRZ
  • 英文刊名:China Population,Resources and Environment
  • 机构:中国农业科学院农业经济与发展研究所;浙江大学中国农村发展研究院;国际食物政策研究所;中国农业科学院农业信息研究所;
  • 出版日期:2019-07-15
  • 出版单位:中国人口·资源与环境
  • 年:2019
  • 期:v.29;No.227
  • 基金:国家自然科学基金重点国际(地区)合作与交流项目“精准扶贫与互联网扶贫的实施机制与效果评估研究”(批准号:71661147001)
  • 语种:中文;
  • 页:ZGRZ201907016
  • 页数:9
  • CN:07
  • ISSN:37-1196/N
  • 分类号:143-151
摘要
中国的精准扶贫已经进入深度贫困的脱贫攻坚阶段。尽管学界尚未明确给出深度贫困的定义,但学界研究的持久贫困与当前政策所关注的深度贫困具有相同内涵,研究农村持久贫困问题,有助于理解深度贫困并为减贫政策的制定提供科学依据。本文利用贵州省普定县三个行政村2004—2017年整村调研所形成的5期面板数据,从多维视角出发,考察农村持久贫困的规模、分布及成因。具体地,首先采用AF多维贫困测量法构建多维贫困指标体系,测算农村家庭在健康、教育、居住条件和资产四个维度的持久多维贫困发生率。其次,为考察不同维度的贫困状况,对持久多维贫困指数进行分解分析。此外,进一步实证分析农村持久多维贫困的致贫原因。研究发现:①农村持久多维贫困发生率为28. 62%,意味着在农村近三分之一的家庭经历着持久贫困。②健康状况差是持久多维贫困的主要方面。健康维度对持久多维贫困指数的总体贡献率为31. 3%,且健康维度未表现出明显的改善趋势,健康维度内的慢性病指标甚至表现出恶化的趋势。③劳动力缺乏以及由此造成的养老负担重已经成为持久贫困的重要致贫原因。本研究有着如下政策启示:①在帮扶群体上,需更加关注非深度贫困地区的深度贫困问题。②在帮扶维度上,需重视改善深度贫困人口的健康状况。③在具体帮扶措施上,需充分考虑深度贫困家庭的劳动力缺乏状况。具体地,在需要投入要素的帮扶措施中,探索除劳动力投入外的其他投入机制。同时,需提高农村的医疗、养老等保障水平与服务水平,充分发挥社会保障兜底的减贫作用。
        China's targeted poverty alleviation strategy has progressed to reduce deep poverty across the country. Although the academia has yet to define deep poverty which is under policy discussion,researchers do pay attention to the identical concept of chronic poverty. Studying chronic poverty in rural China will help understand deep poverty and formulate evidence-based poverty reduction policies. From a multidimensional perspective,this paper uses a five-round( 2004-2017) panel census data from three administrative villages in Puding County,Guizhou Province,to analyze the scale,distribution,and causes of chronic poverty in rural China. The first step is to use the AF multidimensional poverty measurement method to develop an index to measure the incidence of chronic multidimensional poverty within four dimensions including health,education,living conditions,and assets. Secondly,the chronic multidimensional poverty index is decomposed to analyze the poverty status in each of the four dimensions. This paper further conducts an empirical analysis to find the causes of chronic multidimensional poverty in rural China. Major findings are: ① The incidence of chronic multidimensional poverty is 28. 62%,which means that about one-third of households in impoverished rural areas experienced chronic poverty. ②Poor health is the main aspect of poverty. The overall contribution rate of the health dimension to the chronic multidimensional poverty index is 31. 3%. And the health dimension does not show significant improvement. The performance of the chronic disease indicator in the health dimension even deteriorated. ③The lack of labor and the related challenges of elderly care are important causes of poverty. This paper has the following policy implications: ①In terms of the targeted poor group,more attention should be paid to deep poverty in non-deep-poverty areas. ②In terms of the dimension of anti-poverty assistance,health status of the deep poor population should be prioritized. ③About the specific assistance measures,it is necessary to tackle the problem of labor shortage in deep poor families. Specifically,the input mechanisms should be expanded besides labor input. Also,medical care and elderly care in rural areas need to be improved,and the role of social security in poverty reduction is worth emphasizing.
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