ArticleInternational journal of environmental research and public health2022
The Impact of Health Insurance Policy on the Fertility Intention of Rural Floating Population in China: Empirical Evidence from Cross-Sectional Data.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Health insurance integration and fertility intentions among migrant populations in China: evidence from urban-rural medical reform.BMC health services research · 2025Article
- Association between internet usage and healthcare expenditure among middle-aged and older Chinese adults with chronic diseases: the role of self-rated health.BMC public health · 2025Article
- A medical insurance fund operation performance evaluation system under the DRG payment mode reform.Frontiers in public health · 2025Article
- Article
- How does social integration work when older migrants obtain health services from community? Evidence from national database in China.Frontiers in public health · 2023Article
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4 authors.
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Abstract
Declining total fertility rates pose a severe challenge to the economy, society, culture, and politics of any region. Low fertility rates among China's rural floating population with strong fertility are aggravating these challenges. Previous research has confirmed the relationships between health insurance and fertility intention. However, it is still unclear whether the existing association is favorable or not. Moreover, the majority of existing studies in China employ data from either urban or rural populations, whereas evidence from rural floating populations remains scarce. Based on the "China Migrants Dynamic Survey (CMDS)" in 2016, the current study used the logistic regression model to explore the impact of health insurance policy on the fertility intention of the rural floating population in China. Propensity Score Matching (PSM) was used to address potential selection bias. Three important findings were observed: Firstly, participating in the Basic Medical Insurance System (BMISUR) significantly improved rural floating populations' fertility intentions in China. Secondly, the association between age and the fertility intention of the floating population was "inverted u-shaped" with the highest fertility intention among those aged 25 to 34. There was also a positive correlation between personal income and fertility intention, and it was found between local housing purchase, formal employment, the co-residents scale, and the fertility intention in the rural floating population in China. Interprovincial mobility was positively associated with the fertility intention among rural migrants. Thirdly, the impact of health insurance policies on the fertility intention of the rural migrant population varies by gender, age, and inflow areas. The aforementioned findings can guide the Chinese government in its efforts to improve the fertility intention of the rural floating population, reform the social security system with a focus on "targets", and implement differentiated welfare policies aimed at promoting the equalization of basic public services, thereby contributing to China's population structure and long-term development.
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