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The Effect of Boarding on the Mental Health of Primary School Students in Western Rural China

Author

Listed:
  • Bin Tang

    (Center for Experimental Economics in Education (CEEE), Shaanxi Normal University, Xi’an 710119, China)

  • Yue Wang

    (Center for Experimental Economics in Education (CEEE), Shaanxi Normal University, Xi’an 710119, China
    School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China)

  • Yujuan Gao

    (Center for Experimental Economics in Education (CEEE), Shaanxi Normal University, Xi’an 710119, China
    Food and Resource Economics Department, University of Florida, Gainesville, FL 32611, USA)

  • Shijin Wu

    (Center for Experimental Economics in Education (CEEE), Shaanxi Normal University, Xi’an 710119, China)

  • Haoyang Li

    (Center for Experimental Economics in Education (CEEE), Shaanxi Normal University, Xi’an 710119, China)

  • Yang Chen

    (School of Foreign Studies, Xi’an Jiaotong University, Xi’an 710061, China)

  • Yaojiang Shi

    (Center for Experimental Economics in Education (CEEE), Shaanxi Normal University, Xi’an 710119, China)

Abstract

Based on the panel data of 20,594 fourth- and fifth-grade students in the western provinces A and B in China, this paper analyzed the effect of boarding at school on the mental health of students using a combination of the propensity score matching (PSM) and difference-in-differences (DID) methods. The results showed that boarding had no significant effect on the mental health of students, but the tendency of loneliness among boarding school students was increased. Heterogeneity analysis found that fifth-grade students whose parents had both left home to work were more likely to have poorer mental health when boarding. This paper has essential policy significance for guiding rural primary schools to improve the mental health of boarding school students, especially left-behind children.

Suggested Citation

  • Bin Tang & Yue Wang & Yujuan Gao & Shijin Wu & Haoyang Li & Yang Chen & Yaojiang Shi, 2020. "The Effect of Boarding on the Mental Health of Primary School Students in Western Rural China," IJERPH, MDPI, vol. 17(21), pages 1-17, November.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:8200-:d:440921
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    References listed on IDEAS

    as
    1. Liu, Mengqi & Villa, Kira M., 2020. "Solution or isolation: Is boarding school a good solution for left-behind children in rural China?," China Economic Review, Elsevier, vol. 61(C).
    2. Esther Duflo, 2001. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," American Economic Review, American Economic Association, vol. 91(4), pages 795-813, September.
    3. Lechner, Michael, 2011. "The Estimation of Causal Effects by Difference-in-Difference Methods," Foundations and Trends(R) in Econometrics, now publishers, vol. 4(3), pages 165-224, November.
    4. Wang, Huan & Yang, Chu & He, Fei & Shi, Yaojiang & Qu, Qinghe & Rozelle, Scott & Chu, James, 2015. "Mental health and dropout behavior: A cross-sectional study of junior high students in northwest rural China," International Journal of Educational Development, Elsevier, vol. 41(C), pages 1-12.
    5. Heckman, James J. & Yi, Junjian, 2012. "Human Capital, Economic Growth, and Inequality in China," IZA Discussion Papers 6550, Institute of Labor Economics (IZA).
    6. Carolyn Heinrich & Alessandro Maffioli & Gonzalo Vázquez, 2010. "A Primer for Applying Propensity-Score Matching," SPD Working Papers 1005, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    8. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    9. Yaojiang Shi & Yu Bai & Yanni Shen & Kaleigh Kenny & Scott Rozelle, 2016. "Effects of Parental Migration on Mental Health of Left-behind Children: Evidence from Northwestern China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 24(3), pages 105-122, May.
    10. Berlinski, Samuel & Galiani, Sebastian & Gertler, Paul, 2009. "The effect of pre-primary education on primary school performance," Journal of Public Economics, Elsevier, vol. 93(1-2), pages 219-234, February.
    11. Chen, Qihui & Chen, Yu & Zhao, Qiran, 2020. "Impacts of boarding on primary school students’ mental health outcomes – Instrumental-Variable evidence from rural northwestern China," Economics & Human Biology, Elsevier, vol. 39(C).
    12. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
    13. Tobias Haepp & Lidan Lyu, 2018. "The impact of primary school investment reallocation on educational attainment in rural China," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 23(4), pages 606-627, October.
    14. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
    15. Huan Wang & James Chu & Prashant Loyalka & Tao Xin & Yaojiang Shi & Qinghe Qu & Chu Yang, 2016. "Can Social–Emotional Learning Reduce School Dropout in Developing Countries?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 35(4), pages 818-847, September.
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