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Birth policy changes and the sustainability of social medical insurance funds: implications for green growth

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Abstract

Given China’s aging population and the introduction of the three-child policy, there are implications for the future population covered by basic medical insurance funds in urban and rural China. Based on the concept of sustainable development, this study uses the cohort-component projection method to calculate the population covered by basic medical insurance funds and the aging of the insured population in China from 2020 to 2050 based on several assumed scenarios of the total fertility rate. Our results show that, first, the three-child policy can increase China’s total fertility rate but cannot alleviate the aging problem of the population covered by medical insurance. Second, the three-child policy has a delayed effect on alleviating the aging issue of the insured population. Third, the aging problem of urban and rural residents covered by insurance is more severe than that of urban employees covered by insurance. Finally, policy recommendations are proposed based on this research.

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References

  • Auerbach AJ, Kotlikoff LJ, Hagemann RP, Nicoletti G (1989) The dynamics of an aging population: The case of four OECD countries. OECD Economics Department Working Papers No 62

  • Chen YH, Li YS, Su CG et al (2012) Application of radial basis neural network model in population aging calculation: a case study of Hunan Province. Econ Geogr 4:32–37

    Google Scholar 

  • Chen F, Liu G (2009) Population aging in China. International Handbook of Population Aging.

  • Du P (2022) The difference of urban and rural ageing and its transition. Contemp Chinese Popul 4

  • Getzen TE (1992) Population aging and the growth of health expenditures. J Gerontol 3:3

    Google Scholar 

  • Ghassan HB, Alhajhoj HR, Balli F (2022) Bi-demographic and current account dynamics using SVAR model: evidence from Saudi Arabia. Econ Change Restruct 55:1327–1363

    Article  Google Scholar 

  • Hou RH, Xu XY (2021) Population estimation based on improved multidimensional gray model and support vector machine. Stat Decis 18:41–44

    Google Scholar 

  • Hsu M, Liao PJ (2015) Financing national health insurance: the challenge of fast population aging. Jing Ji Lun Wen Cong Kan 2:145

    Google Scholar 

  • Jia ZH, Fu CH, Lan CH (2017) Research on population estimation based on dynamics model. Scientist 11(22):108

    Google Scholar 

  • Koczor-Keul M (2020) New evidence on the population ageing and health care expenditure for the Hungarian elderly In the last year of life. J Smart Econ Growth 3:109–123

    Google Scholar 

  • Lai SL, Yip TM (2022) The role of older workers in population aging–economic growth nexus: evidence from developing countries. Econ Change Restruct 3:1875–1912

    Article  Google Scholar 

  • Longman P (1987) Born to pay: the new politics of aging in America. Houghton Mifflin 88

  • Marois G, Gietel-Basten S, Lutz W (2021) China’s low fertility may not hinder future prosperity. Proc Natl Acad Sci 118(40):e2108900118

    Article  Google Scholar 

  • Qin TT, Zhang QM, Wang MC et al (2021) Projection of population structure of Liaoning province based on cohort-component method. Chinese J Health Stat 3:348–352

    Google Scholar 

  • Qiu X, Zhao T, Kong Y et al (2020) Influence of population aging on balance of medical insurance funds in China. Int J Health Plann Manage 1:152–161

    Article  Google Scholar 

  • Sheng YN, Gu DN (2020) Probabilistic population calculation methods and their applications: introduction to probabilistic population calculation methods in World Population Prospects. Popul J 5:31–46

    Google Scholar 

  • Wang X, Hong J, Fan P et al (2021) Is China’surban–rural difference in population aging rational? An international comparison with key indicators. Growth Change 3:1866–1891

    Article  Google Scholar 

  • Xiang HL, Zhao YZ, Li BP (2016) Research on family planning benefit-oriented policies based on long-term balanced population development. Wuhan Univ Press 67–74

  • Yang CY (2003) Cohort-component projection method and population estimation in Zhejiang Province. Zhejiang Univ

  • Yu XH, Xu HY, Lou WG (2022) Construction and empirical study of projection pursuit autoregressive model of population predict. Stat Decis 23:38–42

    Google Scholar 

  • Zhao J, Zuo X, Chang CP (2022) More economic growth with the better public health? Evidence from Western China. Econ Change Restruct 1–30

  • Zheng L (2022) Population aging and the demand for private health insurance in China. Asia-Pacific J Risk Insur 1:47–80

    Article  Google Scholar 

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Correspondence to Xiaohong Yu.

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Wang, J., Yu, X. Birth policy changes and the sustainability of social medical insurance funds: implications for green growth. Econ Change Restruct 56, 2205–2225 (2023). https://doi.org/10.1007/s10644-023-09511-x

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