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The Impact of Health Insurance Policy on the Fertility Intention of Rural Floating Population in China: Empirical Evidence from Cross-Sectional Data

Author

Listed:
  • Yiqing Xing

    (School of Politics and Public Administration, Wuhan University, Wuhan 430072, China)

  • Clifford Silver Tarimo

    (College of Public Health, Zhengzhou University, Zhengzhou 450001, China
    Department of Science and Laboratory Technology, Dares Salaam Institute of Technology, Dar es Salaam P.O. Box 2958, Tanzania)

  • Weicun Ren

    (School of Politics and Public Administration, Wuhan University, Wuhan 430072, China)

  • Liang Zhang

    (School of Politics and Public Administration, Wuhan University, Wuhan 430072, China)

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.

Suggested Citation

  • Yiqing Xing & Clifford Silver Tarimo & Weicun Ren & Liang Zhang, 2022. "The Impact of Health Insurance Policy on the Fertility Intention of Rural Floating Population in China: Empirical Evidence from Cross-Sectional Data," IJERPH, MDPI, vol. 20(1), pages 1-16, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:175-:d:1012053
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    References listed on IDEAS

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    1. William A. V. Clark & Daichun Yi & Xin Zhang, 2020. "Do House Prices Affect Fertility Behavior in China? An Empirical Examination," International Regional Science Review, , vol. 43(5), pages 423-449, September.
    2. Liu, Jing & Xing, Chunbing & Zhang, Qiong, 2020. "House price, fertility rates and reproductive intentions," China Economic Review, Elsevier, vol. 62(C).
    3. Larry E. Jones & Alice Schoonbroodt & Michèle Tertilt, 2010. "Fertility Theories: Can They Explain the Negative Fertility-Income Relationship?," NBER Chapters, in: Demography and the Economy, pages 43-100, National Bureau of Economic Research, Inc.
    4. Liu, Jun & Liu, Taoxiong, 2020. "Two-child policy, gender income and fertility choice in China," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 1071-1081.
    5. Tom S. Vogl, 2016. "Differential Fertility, Human Capital, and Development," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(1), pages 365-401.
    6. Jean Drèze & Mamta Murthi, 2001. "Fertility, Education, and Development: Evidence from India," Population and Development Review, The Population Council, Inc., vol. 27(1), pages 33-63, March.
    7. Yingying Meng & Junqiang Han & Siqi Qin, 2018. "The Impact of Health Insurance Policy on the Health of the Senior Floating Population—Evidence from China," IJERPH, MDPI, vol. 15(10), pages 1-17, October.
    8. Letizia Mencarini & Daniele Vignoli & Tugba Zeydanli & Jungho Kim, 2018. "Life satisfaction favors reproduction. The universal positive effect of life satisfaction on childbearing in contemporary low fertility countries," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-19, December.
    9. Akira Yakita, 2001. "Uncertain lifetime, fertility and social security," Journal of Population Economics, Springer;European Society for Population Economics, vol. 14(4), pages 635-640.
    10. Qiang He & Xin Deng & Chuan Li & Zhongcheng Yan & Yanbin Qi, 2022. "The Impact of Rural Population Mobility on Fertility Intention under the Comprehensive Two-Child Policy: Evidence from Rural China," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    11. Maloney, William F, 1999. "Does Informality Imply Segmentation in Urban Labor Markets? Evidence from Sectoral Transitions in Mexico," The World Bank Economic Review, World Bank, vol. 13(2), pages 275-302, May.
    12. Xiaojie Wang & Wenjie Nie & Pengcheng Liu, 2020. "Son Preference and the Reproductive Behavior of Rural-Urban Migrant Women of Childbearing Age in China: Empirical Evidence from a Cross-Sectional Data," IJERPH, MDPI, vol. 17(9), pages 1-12, May.
    13. Christakis, Nicholas A. & Iwashyna, Theodore J., 2003. "The health impact of health care on families: a matched cohort study of hospice use by decedents and mortality outcomes in surviving, widowed spouses," Social Science & Medicine, Elsevier, vol. 57(3), pages 465-475, August.
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