Institute of Western China Economic Research, Southwestern University of Finance and Economics, Chengdu 610074, China.
Department of Agricultural and Resource Economics, North Carolina State University, Raleigh, NC 27695, USA.
Int J Environ Res Public Health. 2022 Aug 13;19(16):9999. doi: 10.3390/ijerph19169999.
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.
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.
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.
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.
尽管有几项研究发现,较低的社会融合水平可能导致移民健康状况恶化,但先前关于社会融合与健康之间关系的研究普遍忽略了社会融合的潜在内生性。本文通过利用方言多样性的准外生、长期的地理变化,考察了社会融合对中国农村到城市移民健康的异质影响。
利用 2017 年中国流动人口动态调查(n=117446)的全国代表性数据,我们首先使用普通最小二乘法估计对方言多样性进行回归,然后使用有序概率模型作为稳健性检验。此外,为了排除社会融合的潜在内生性,我们主要依赖工具变量法,并将方言多样性作为社会融合的外生变化来源。
我们发现社会融合对农村到城市移民的健康有显著的积极影响。我们还发现社会融合的影响在性别、代际和工资水平上存在显著的异质性:女性、较年轻一代的移民以及工资处于工资分布中间的移民的健康状况更容易受到社会融合的影响。
我们证实了社会融合对移民健康的有益影响,这具有一些重要的政策意义。成功的移民政策应考虑移民社会融合的根本问题。