Heterogeneous Impact of Social Integration on the Health of Rural-to-Urban Migrants in China

Int J Environ Res Public Health. 2022 Aug 13;19(16):9999. doi: 10.3390/ijerph19169999.

Abstract

Background: While several studies have found that lower levels of social integration may lead to a deterioration in the health status of migrants, previous research on the nexus between social integration and health has generally ignored the potential endogeneity of social integration. This paper examines the heterogeneous impact of social integration on the health of rural-to-urban migrants in China by exploiting plausibly exogenous, long-term, geographic variation in dialectal diversity.

Methods: Drawing on nationally representative data from the 2017 China Migrants Dynamic Survey (n = 117,446), we first regressed self-reported health on social integration using ordinary least squares estimation and then used an ordered probit model as a robustness check. Additionally, to rule out the potential endogeneity of social integration, we relied mainly on an instrumental variable approach and used dialectal diversity as a source of exogenous variation for social integration.

Results: We found that social integration has a significant positive impact on rural-to-urban migrants' health. We also detected considerable heterogeneity in the effects of social integration across gender, generation, and wage levels: the health status of women, more recent generation migrants, and migrants with wages in the middle of wage distribution are more likely to be affected by social integration.

Conclusions: We confirmed the beneficial impact of social integration on migrants' health, which has some important policy implications. Successful migration policies should take the fundamental issue of migrants' social integration into account.

Keywords: China; dialectal diversity; health; heterogeneous effects; internal migration; social integration.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Female
  • Health Status
  • Humans
  • Population Dynamics
  • Rural Population
  • Social Integration
  • Transients and Migrants*
  • Urban Population

Grants and funding

This research was funded by the National Natural Science Foundation of China, grant numbers 71804142 and 72074178. Haiyang Lu would like to thank the generous support for this research by Guanghua Talent Project of Southwestern University of Finance and Economics.