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
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
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
Hou RH, Xu XY (2021) Population estimation based on improved multidimensional gray model and support vector machine. Stat Decis 18:41–44
Hsu M, Liao PJ (2015) Financing national health insurance: the challenge of fast population aging. Jing Ji Lun Wen Cong Kan 2:145
Jia ZH, Fu CH, Lan CH (2017) Research on population estimation based on dynamics model. Scientist 11(22):108
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
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
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
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
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
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
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
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
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
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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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DOI: https://doi.org/10.1007/s10644-023-09511-x