ArticleFrontiers in public health2023
Adverse selection and health insurance decisions of young migrant workers: An empirical study in China.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Factors influencing the decision to opt out of basic medical insurance among China's migrant population: a logistic regression analysis.Frontiers in public health · 2026Article
- Shaping local identity through public health: the role of social integration among new-generation rural migrants in urban China.BMC public health · 2025Article
- Adverse Selection as a Barrier to Achieving Universal Public Health Insurance Coverage in China.Risk management and healthcare policy · 2025Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
Using data from the China Migrants Dynamic Survey (CMDS) in 2017, this study assessed adverse selection and the impact of mobility factors on adverse selection by analyzing two samples of young migrant workers. The results of the sample analysis showed that young migrant workers with higher health risks were more inclined to enroll in health insurance, indicating the presence of adverse selection. Mobility distance and settle intention have a heterogeneous effect on adverse selection, with young workers who migrate inter-provincially and intend to settle down being more susceptible. The analysis of the insured samples showed that the phenomenon of adverse selection was also evident in the choice of health insurance, with individuals with higher risks preferring Urban Employee Basic Medical Insurance (UEBMI), which has better financial coverage and benefits compared to Rural Residents' Basic Medical Insurance (URRBMI). The heterogeneity test confirmed that mobility distance plays a role in determining the likelihood of adverse selection, with inter-city and inter-province young migrant workers being more likely to show adverse selection.
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