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Rural-to-urban migration, discrimination experience, and health in China: Evidence from propensity score analysis

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  • Zihong Deng
  • Yik Wa Law

Abstract

This research examines how rural-to-urban migration influences health through discrimination experience in China after considering migration selection bias. We conducted propensity score matching (PSM) to obtain a matched group of rural residents and rural-to-urban migrants with a similar probability of migrating from rural to urban areas using data from the 2014 China Family Panel Studies (CFPS). Regression and mediation analyses were performed after PSM. The results of regression analysis after PSM indicated that rural-to-urban migrants reported more discrimination experience than rural residents, and those of mediation analysis revealed discrimination experience to exert negative indirect effects on the associations between rural-to-urban migration and three measures of health: self-reported health, psychological distress, and physical discomfort. Sensitivity analysis using different calipers yielded similar results. Relevant policies and practices are required to respond to the unfair treatment and discrimination experienced by this migrant population.

Suggested Citation

  • Zihong Deng & Yik Wa Law, 2020. "Rural-to-urban migration, discrimination experience, and health in China: Evidence from propensity score analysis," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-20, December.
    • Handle: RePEc:plo:pone00:0244441
    DOI: 10.1371/journal.pone.0244441
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    References listed on IDEAS

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    1. Sunmin Lee & Allison H O’Neill & Emily S Ihara & David H Chae, 2013. "Change in Self-Reported Health Status among Immigrants in the United States: Associations with Measures of Acculturation," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
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    Cited by:

    1. Heijs, Joost & Cruz-Calderón, Selene Cruz, 2023. "A novel research strategy of measuring housing disadvantages of vulnerable populations for all income levels: the Propensity Score Matching approach," MPRA Paper 117212, University Library of Munich, Germany, revised 04 May 2023.
    2. Ziming Zhou & Yumeng Jiang & Haitao Wu & Fan Jiang & Zhiming Yu, 2022. "The Age of Mobility: Can Equalization of Public Health Services Alleviate the Poverty of Migrant Workers?," IJERPH, MDPI, vol. 19(20), pages 1-18, October.
    3. Nan Sun & Fan Yang, 2024. "Effects and Mechanisms of Rural‒Urban Migration on Health in China," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(2), pages 1-23, April.

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