School of Public Administration, Jinan University, 601 Huangpu Blvd, Tianhe District, Guangzhou, 510632, Guangdong Province, China.
BMC Public Health. 2021 Dec 11;21(1):2250. doi: 10.1186/s12889-021-12214-5.
Rural migrants usually suffer from major disease risks, but little attention had been paid toward the relationship between self-employment behavior and health status of rural migrants in China. Present study aims to explore the causal effect of self-employment behavior on rural migrants' sub-health status and chronic disease. Two research questions are addressed: does self-employment status affect the sub-health status and chronic disease of rural migrants? What is potential mechanism that links self-employment behavior and health status among rural migrants in China?
The dataset from the 2017 National Migrants Population Dynamic Monitoring Survey (NMPDMS-2017) was used to explore the causal effect. Logit regression was performed for the baseline estimation, and linear probability model with instrument variable estimation (IV-LPM) was applied to correct the endogeneity of self-employment. Additionally, logit regression was conducted to explore the transmission channel.
Self-employed migrants were more susceptible to sub-health status and chronic disease, even when correcting for endogeneity. Moreover, self-employed migrants were less likely to enroll in social health insurance than their wage-employed counterparts in urban destinations.
Self-employed migrants were more likely to suffer from sub-health status and chronic disease; thus, their self-employment behavior exerted a harmful effect on rural migrants' health. Social health insurance may serve as a transmission channel linking self-employment and rural migrants' health status. That is, self-employed migrants were less prone to participate in an urban health insurance program, a situation which leaded to insufficient health service to maintain health.
农村流动人口通常面临重大疾病风险,但很少有人关注自雇行为与中国农村流动人口健康状况之间的关系。本研究旨在探讨自雇行为对农村流动人口亚健康和慢性病的因果影响。提出了两个研究问题:自雇状况是否会影响农村流动人口的亚健康状况和慢性病?自雇行为与中国农村流动人口健康状况之间的潜在联系是什么?
利用 2017 年全国流动人口动态监测调查(NMPDMS-2017)的数据来探讨因果效应。采用 Logit 回归进行基线估计,并用工具变量估计的线性概率模型(IV-LPM)来校正自雇行为的内生性。此外,还进行了 Logit 回归来探讨传递渠道。
自雇移民更容易出现亚健康状态和慢性病,即使在校正了内生性之后也是如此。此外,与在城市目的地受雇的移民相比,自雇移民参加社会医疗保险的可能性较小。
自雇移民更容易出现亚健康状态和慢性病;因此,他们的自雇行为对农村流动人口的健康产生了不利影响。社会医疗保险可能是将自雇行为与农村流动人口健康状况联系起来的一个传递渠道。也就是说,自雇移民不太可能参加城市医疗保险计划,这种情况导致他们获得的维持健康的卫生服务不足。