Volume 26, Issue 2 (6-2023)
jha 2023, 26(2): 98-117 |
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Eisavi M, Ghorbani S, Moayedfard A. Aging and Iranian Health System Expenditure: Evaluating and Prediction. jha 2023; 26 (2) :98-117
URL: http://jha.iums.ac.ir/article-1-4339-en.html
URL: http://jha.iums.ac.ir/article-1-4339-en.html
1- Associate Professor, Department of Islamic Economics, University of Allameh Tabataba’i, Tehran
2- Ph.D., of Health Economics, Health Management and Economics research center, Health Management Research Institute, Iran University of Medical Sciences, Tehran
3- M.Sc., in economics, Health Management and Economics research center, Health Management Research Institute, Iran University of Medical Sciences, Tehran ,amoayedfard@gmail.com
2- Ph.D., of Health Economics, Health Management and Economics research center, Health Management Research Institute, Iran University of Medical Sciences, Tehran
3- M.Sc., in economics, Health Management and Economics research center, Health Management Research Institute, Iran University of Medical Sciences, Tehran ,
Abstract: (682 Views)
Introduction: Aging is an emerging, multifaceted, and inevitable global phenomenon, and Iran is no exception. This study investigates the relationship between the Iranian health system's expenditure and the aging rate, and forecasts these variables up to 2026.
Methods: This applied study utilized document mining for data collection and quantitative methods for data analysis. The auto-regressive distributed lags (ARDL) model was employed to model health expenditure, while the an autoregressive integrated moving average (ARIMA) model was used for forecasting. The study spanned from 1996 to 2021, projecting aging rates and health system expenditure for 2022-2026. Estimations were conducted using EViews 10, with data sourced from the Iranian Statistics Center and the United Nations Population Fund.
Results: The study found that, based on 2011's constant prices, a one percent increase in the aging rate corresponds to a 710 billion tomans rise in health system expenditures. Projections suggest that by 2026, the aging rate will have increased by 1.06, resulting in a 753 billion tomans increase in real expenditures, again referenced to 2011's constant prices. The cost attributed to each elderly individual will amount to approximately 1,414 thousand tomans, based on 2011's fixed prices.
Conclusion: The findings indicate an expected rise in health system expenditures due to aging. The obtained coefficients are based on Ceteris Paribus; however, factors such as technological advancements, lifestyle shifts, and overall socio-economic changes could significantly alter these figures. The authors suggest that fostering high employment rates with adequate incomes could mitigate the impact of aging by lowering the dependency ratio, thereby enhancing the population's youth ratio and ensuring the solvency of pension funds.
Methods: This applied study utilized document mining for data collection and quantitative methods for data analysis. The auto-regressive distributed lags (ARDL) model was employed to model health expenditure, while the an autoregressive integrated moving average (ARIMA) model was used for forecasting. The study spanned from 1996 to 2021, projecting aging rates and health system expenditure for 2022-2026. Estimations were conducted using EViews 10, with data sourced from the Iranian Statistics Center and the United Nations Population Fund.
Results: The study found that, based on 2011's constant prices, a one percent increase in the aging rate corresponds to a 710 billion tomans rise in health system expenditures. Projections suggest that by 2026, the aging rate will have increased by 1.06, resulting in a 753 billion tomans increase in real expenditures, again referenced to 2011's constant prices. The cost attributed to each elderly individual will amount to approximately 1,414 thousand tomans, based on 2011's fixed prices.
Conclusion: The findings indicate an expected rise in health system expenditures due to aging. The obtained coefficients are based on Ceteris Paribus; however, factors such as technological advancements, lifestyle shifts, and overall socio-economic changes could significantly alter these figures. The authors suggest that fostering high employment rates with adequate incomes could mitigate the impact of aging by lowering the dependency ratio, thereby enhancing the population's youth ratio and ensuring the solvency of pension funds.
Type of Study: Research |
Subject:
Health Economics
Received: 2023/03/25 | Accepted: 2023/06/21 | Published: 2023/12/31
Received: 2023/03/25 | Accepted: 2023/06/21 | Published: 2023/12/31
References
1. United Nations Department of Economic and Social Affairs, Population Division. World population ageing 2020 highlights [Internet]. New York: United Nations; 2020 [cited 2020 Apr 11]. Available from: [URL not provided in original reference].
2. Kusheshi M, Khosravi A, Alizadeh M, Torkashvand M, Aghaei N. Aging population in Iran: Socio-economic, demographic and health characteristics of the elderly: Issues and challenges. Tehran: UNFPA; 2014 [cited 2022 Apr 12]. Available from: https://iran.unfpa.org/sites/default/files/pub-pdf/Population%20Ageing%20in%20I.%20R.%20Iran_2.pdf
3. Eisavi M, Moayedfard A. Budget trends and financing methods of the health sector in Iran: An operational proposal. J Health Adm. 2022;24(4):71-83. [In Persian] [DOI:10.52547/jha.24.4.71]
4. Enders W. Applied econometric time series. 4th ed. Hoboken (NJ): John Wiley & Sons; 2008.
5. Cryer JD. Time series analysis. Boston: Duxbury Press; 1986.
6. The World Bank Group. World health organization global health expenditure database [Internet]. Washington (DC): The World Bank; 2023 [cited 2023 Aug 12]. Available from: https://data.worldbank.org/indicator/SH.XPD.CHEX.GD.ZS
7. Yahyavi Dizaj J, Emamgholipour S, Pourreza A, Nomanni F, Molemi S. Effect of aging on catastrophic health expenditure in Iran during the period 2007-2016. Sci J Sch Public Health Inst Public Health Res. 2018;16(3):216-27. [In Persian]
8. Abdulah Milani M, Mohammadi T, Tavossoli S. The determinants of health expenditures with an emphasis on population ageing: A country-level panel data analysis. Econ Res J. 2017;17(65):25-50. [In Persian]
9. Rezaei S, Fallah R, Karyani AK, Daroudi R, Zandiyan H, Hajizadeh M. Determinants of healthcare expenditures in Iran: evidence from a time series analysis. Med J Islam Repub Iran. 2016;30:313.
10. Lopreite M, Mauro M. The effects of population ageing on health care expenditure: a Bayesian VAR analysis using data from Italy. Health Policy. 2017;121(6):663-74. [DOI:10.1016/j.healthpol.2017.03.015]
11. Di Matteo L. The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution, and time. Health Policy. 2005;71(1):23-42. [DOI:10.1016/j.healthpol.2004.05.007]
12. Hosoya K. Determinants of health expenditures: Stylized facts and a new signal. J Mod Econ. 2014;5(13):1171-80. [DOI:10.4236/me.2014.513109]
13. Yang X, Li N, Mu H, Ahmad M, Meng X. Population aging, renewable energy budgets and environmental sustainability: Does health expenditure matter? Gondwana Res. 2022 Jun;106:303-14. [DOI:10.1016/j.gr.2022.02.003]
14. Li L, Du T, Hu Y. The effect of population aging on healthcare expenditure from a healthcare demand perspective among different age groups: evidence from Beijing City in the People's Republic of China. Risk Manag Healthc Policy. 2020 Aug 31;13:1403-12. [DOI:10.2147/RMHP.S271289]
15. Shakoor U, Rashid M, Baloch AA, Husnain MI, Saboor A. How aging population affects health care expenditures in Pakistan? A Bayesian VAR analysis. Soc Indic Res. 2021 Jan;153:585-607. [DOI:10.1007/s11205-020-02500-x]
16. Boz C, Ozsarı SH. The causes of aging and relationship between aging and health expenditure: An econometric causality analysis for Turkey. Int J Health Plann Manage. 2020 Jan;35(1):162-70. [DOI:10.1002/hpm.2845]
17. El-Farouk AE, Banjar FM, Karar HMO, Elamin FO. Determinants of public healthcare expenditure in Saudi Arabia. Eur J Pharm Med Res. 2016;3(12):85-93.
18. Ghaemi Asl M, Mirzaei Abbasabadi H. Age effects on health expenditures: a global view. J Popul Ageing. 2021 Jun;14:247-70. [DOI:10.1007/s12062-020-09285-4]
19. Sen A. Is health care a luxury? New evidence from OECD data. Int J Health Care Finance Econ. 2005;5(2):147-64. [DOI:10.1007/s10754-005-1866-4]
20. Souliotis K, Kartzi G, Athanasakis K, Golna C, Yfantopoulos J. Determinants of health care expenditure in Greece: Can primary health care impact on their evolution? Int J Pharm Sci Res. 2014;5(2):383-91.
21. Samadi A, Homaie RE. Determinants of healthcare expenditure in Economic Cooperation Organization (ECO) Countries: Evidence from panel cointegration tests. Int J Health Policy Manag. 2013 Jun;1(1):63-68. [DOI:10.15171/ijhpm.2013.10]
22. Magazzino C, Mele M. The determinants of health expenditure in Italian regions. Int J Financ Econ. 2012;4(3):61-72. [DOI:10.5539/ijef.v4n3p61]
23. Shao Q, Tao R, Luca MM. The effect of urbanization on health care expenditure: Evidence from China. Front Public Health. 2022 Feb 15;10:850872. [DOI:10.3389/fpubh.2022.850872]
24. Beheshti MB, Sojoudi S. The relationship between health expenditure and GDP in Iran. J Econ Rev. 2008;4(4):115-35. [In Persian]
25. Kordbache H, Ahmadi Z. Evaluation of the effect of exchange rate fluctuations on medical care price indexes in Iran. J Healthc Manag Res. 2017;4(8):17-27. [In Persian]
26. Moayedfard A, Ghorbani S, Sefiddashti SE. Health expenditure and its human capital determinants in Iran. Iran J Public Health. 2020 Nov;49(11):2189-93. [DOI:10.18502/ijph.v49i11.4737]
27. Nordin N, Nordin N, Ahmad NA. The effects of the ageing population on healthcare expenditure: A comparative study of China and India. In: Buchory H, editor. Proceedings of the 1st International Conference on Economics and Banking (ICEB-15); 2015 May 26-27; Jawa Barat, Indonesia. Amsterdam: Atlantis Press; 2015. p. 297-310. [DOI:10.2991/iceb-15.2015.44]
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