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Understanding the Situation of China's Left‐Behind Children: A Mixed‐Methods Analysis

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Listed:
  • Fang Chang
  • Yaojiang Shi
  • Amber Shen
  • Asa Kohrman
  • Katherine Li
  • Qinqin Wan
  • Kaleigh Kenny
  • Scott Rozelle

Abstract

This research uses a mixed‐methods analysis to examine how being left behind impacts the cognition/education, nutrition, and mental health outcomes of children in rural China. We find that parental migration increases household income and decreases care, and these impacts vary according to location, socioeconomic status, and age. We also find that families generally recognize these impacts. Our findings offer a more general view of the effects of being left behind on childhood outcomes than previous research, which often used small sample sizes from limited geographic areas or age ranges. Although our research focuses on China, the findings are relevant to other developing nations where working‐age individuals often migrate domestically or internationally in search of work, such as Mexico and the Philippines.

Suggested Citation

  • Fang Chang & Yaojiang Shi & Amber Shen & Asa Kohrman & Katherine Li & Qinqin Wan & Kaleigh Kenny & Scott Rozelle, 2019. "Understanding the Situation of China's Left‐Behind Children: A Mixed‐Methods Analysis," The Developing Economies, Institute of Developing Economies, vol. 57(1), pages 3-35, March.
    • Handle: RePEc:bla:deveco:v:57:y:2019:i:1:p:3-35
    DOI: 10.1111/deve.12188
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    References listed on IDEAS

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    1. Janet Audrain-McGovern & Steven Lehrer & J. Niles Rosenquist, 2006. "The Impact Of Poor Health On Education: New Evidence Using Genetic Markers," Working Paper 1045, Economics Department, Queen's University.
    2. Weili Ding & Steven F. Lehrer & J. Niels Rosenquist & Janet Audrain-McGovern, 2006. "The Impact of Poor Health on Education: New Evidence Using Genetic Markers," NBER Working Papers 12304, National Bureau of Economic Research, Inc.
    3. Ding, Weili & Lehrer, Steven F. & Rosenquist, J.Niels & Audrain-McGovern, Janet, 2009. "The impact of poor health on academic performance: New evidence using genetic markers," Journal of Health Economics, Elsevier, vol. 28(3), pages 578-597, May.
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