ArticleInternational journal of environmental research and public health2020
What Are the Determinants of the Decision to Purchase Private Health Insurance in China?
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Latent profiles of health insurance literacy, numeracy and supplementary voluntary health insurance enrollment.Health economics review · 2026Article
- Catastrophic health expenditure and commercial health insurance purchase: evidence from China.BMC health services research · 2026Article
- Empowering women entrepreneurs: The impact of integrated medical insurance system in China.PloS one · 2026Article
- Analysing the determinants of healthcare insurance uptake in Nigeria.BMC health services research · 2025Article
- Factors associated with the enrollment of commercial medical insurance in China: Results from China General Social Survey.PloS one · 2024Article
- Article
- How Does Media Use Promote the Purchase of Private Medical Insurance? A Moderated Mediation Model.Frontiers in psychology · 2022Article
- Impact of Gender and Age on Claim Rates of Dread Disease and Cancer Insurance Policies in Taiwan.International journal of environmental research and public health · 2021Article
- The trend in primary health care preference in China: a cohort study of 12,508 residents from 2012 to 2018.BMC health services research · 2021Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this study was to assess the determinants of the decision to purchase private health insurance (PHI) in China. Nationally representative data from the fourth wave of the China Household Finance Survey from 2017 were used, and the dataset comprised 105,691 individuals aged 18 years or older. The Andersen health services utilization model was used to inform the research. Chi-square tests and logistic regression analyses were used to estimate the decision to purchase PHI. The proportion of the sample that had PHI was small, at 5.06%, but coverage for social basic medical insurance (SBMI) was 90.64%. Among PHI holders, the overwhelming majority (87.40%) also had SBMI. Logistic regression analysis demonstrated that predisposing factors (age, education, marital status, household size), enabling factors (household income, SBMI status, geographical factors, household medical expense, and medical debt), and needs-based factors (health status) were statistically significant determinants of the decision to purchase PHI. This study suggests that the socio-economic circumstances of households play a crucial role in the decision to acquire PHI. The findings may be used by the insurance industry to inform actions to enhance PHI coverage and by policy decision-makers that seek to improve equality in access to PHI.
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