Heterogeneous effects of return migration on children's mental health and cognitive outcomes

IF 3.2 2区 社会学 Q1 SOCIOLOGY
Qiao Li , Zai Liang
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引用次数: 0

Abstract

As a neglected group, the number of return migrant children is growing with China's monumental volume of labor migration. Using data from 2013 to 2014 China Education Panel Survey, this study examines heterogeneous effects of return migration on children's mental health and cognitive outcomes. Our results show that the effects of return migration on children vary with the propensity for return migration. More importantly, when children are at risk of return migration, even if that risk is small, it already has a negative impact on children's mental health, which reminds us that it needs to take a dynamic view to study the impact of return migration on children. However, the impact of return migration is not all negative, and the findings suggest that return migration can promote the cognitive development of urban-origin migrant children. A striking regional difference emerges from our analysis: due to urban-rural gap, the impact of return migration on children from urban and rural areas is different. Specifically, return migration has a positive effect on the cognitive development of urban-origin migrant children while return migration does some harm to that of rural-origin migrant children, which implies that return migration may widen the gap between urban and rural children.

回国移民对儿童心理健康和认知能力的不同影响
作为一个被忽视的群体,返乡农民工子女的数量随着中国巨大的劳动力迁移量而不断增长。本研究利用 2013 至 2014 年中国教育面板调查的数据,考察了返乡移民对儿童心理健康和认知结果的异质性影响。我们的研究结果表明,返乡移民对儿童的影响随返乡移民倾向的不同而变化。更重要的是,当儿童面临回迁风险时,即使风险很小,也会对儿童的心理健康产生负面影响,这提醒我们需要以动态的视角来研究回迁对儿童的影响。然而,返乡移民的影响并不都是负面的,研究结果表明,返乡移民可以促进城市原籍移民儿童的认知发展。我们的分析显示了一个显著的地区差异:由于城乡差距,返乡移民对城市和农村儿童的影响是不同的。具体而言,返乡移民对城市原籍流动儿童的认知发展有积极影响,而对农村原籍流动儿童的认知发展则有一定的负面影响,这意味着返乡移民可能会扩大城乡儿童之间的差距。
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
CiteScore
4.30
自引率
4.00%
发文量
0
审稿时长
65 days
期刊介绍: Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.
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