Measuring child poverty in rural China: Evidence from households with left-behind and non-left-behind children

IF 5.5 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2025-04-01 Epub Date: 2025-01-14 DOI:10.1016/j.chieco.2025.102354
Yangcheng Yu , Shi Li , Yuanyuan Chen
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Abstract

China has achieved a comprehensive victory against extreme poverty, yet whether every individual has been lifted out of poverty remains relatively unexplored. Children are the most susceptible to intra-household inequality as their consumption is primarily controlled by their supervisors, making the standard per-capita indices unsuitable for assessing their poverty. This paper employs the DLP model to estimate children's resource shares and poverty rates among various household types in rural China. Based on a representative sample, we demonstrate that left-behind children (LBC) receive approximately 5 % fewer resource shares and are ten times more likely to fall into poverty than non-left-behind children (NLBC). Girl children, compared to boys, generally reside in larger families with more children, resulting in smaller portions of household consumption and higher poverty rates. Further analysis strengthens the validity of our identification and indicates that our measure of child poverty is largely consistent with household consumption patterns. While most rural children have been lifted out of extreme poverty, child poverty remains severe when assessed against the standards of developed countries.
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衡量中国农村儿童贫困:来自留守儿童和非留守儿童家庭的证据
中国已经全面战胜了极端贫困,但是否每个人都摆脱了贫困仍然是一个相对未知的问题。儿童最容易受到家庭内部不平等的影响,因为他们的消费主要由他们的主管控制,使得标准的人均指数不适合评估他们的贫穷程度。本文采用DLP模型对中国农村不同家庭类型的儿童资源份额和贫困率进行了估算。基于代表性样本,我们证明了留守儿童(LBC)获得的资源份额比非留守儿童(NLBC)少约5%,陷入贫困的可能性是非留守儿童(NLBC)的10倍。与男孩相比,女孩通常生活在有更多孩子的大家庭中,导致家庭消费的比例较小,贫困率较高。进一步的分析加强了我们的识别的有效性,并表明我们对儿童贫困的衡量在很大程度上与家庭消费模式一致。虽然大多数农村儿童已经摆脱了极端贫困,但以发达国家的标准衡量,儿童贫困仍然严重。
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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