The Impact of the Elderly Population, Life Expectancy and Economic Growth towards Health Spending in Malaysia

Nur Nazihah Shahrom; Jumadil Saputra; Roshanim Koris

doi:10.56225/jmsc.v1i3.137

Authors

Nur Nazihah Shahrom Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu, Malaysia
Jumadil Saputra Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu, Malaysia
Roshanim Koris Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu, Malaysia

DOI:

https://doi.org/10.56225/jmsc.v1i3.137

Keywords:

old populations, life expectancy, economic growth, health spending, autoregressive distribution lag model

Abstract

World Health Organization has been categorized the old population is divided into four stages of middle age (45-59 years old), old age (60-74 years old), oldest age (75-90 years old) and very oldest age (90 years old above). Therefore, the elderly are to indicate individuals aged 60 years and above. There are several factors that cause the increase in the elderly such as decreased fertility and mortality, the improvement of technology towards medicine and the level of education. Elderly rates showed an increase from 1990 to 2010 of 5.7 percent to 7.5 percent. For the year 2020 the number of elderly is estimated to reach 3 million, up to 10 percent of the estimated 32 million population. The purpose of this research is to study the relationship between the old population, life expectancy and economic growth on health spending in Malaysia. This study is used annual time series data from 1985 to 2015 with four variables; health spending as dependent variable; old populations, life expectancy and economic growth as independent variables. To investigate the relationship between these variables, the Autoregressive Distribution Lag Model (ARDL) is used consisting of co-integration tests and other statistical tests such as Unit Root test, CUSUM and CUSUM Square tests. This study found that there have long-run and short-run relationship between old population, life expectancy and economic growth on health spending in Malaysia. The CUSUM and CUSUM Square tests are show a stable model. In conclusion, when the elderly are still healthy, they can actually become a state asset and can contribute to national income.

References

Gerdtham, U. G., Søgaard, J., Andersson, F., & Jönsson, B. (1992). An econometric analysis of health care expenditure: a cross-section study of the OECD countries. Journal of health economics, 11(1), 63-84.

Getzen, T. E. (1992). Population aging and the growth of health expenditures. Journal of gerontology, 47(3), S98-S104.

Getzen, T. E. (2006). Aggregation and the measurement of health care costs. Health Services Research, 41(5), 1938-1954.

Jaba, E., Balan, C. B., & Robu, I. B. (2014). The relationship between life expectancy at birth and health expenditures estimated by a cross-country and time-series analysis. Procedia Economics and Finance, 15, 108-114.

Karim, H. A. (1997). The elderly in Malaysia: demographic trends. Medical Journal of Malaysia, 52, 206-212.

Khan, H. N., Razali, R. B., & Shafie, A. B. (2016). Modeling determinants of health expenditures in Malaysia: evidence from time series analysis. Frontiers in pharmacology, 7, 69.

Kowal, P., Chatterji, S., Naidoo, N., Biritwum, R., Fan, W., Lopez Ridaura, R., ... & Snodgrass, J. J. (2012). Data resource profile: the World Health Organization Study on global AGEing and adult health (SAGE). International journal of epidemiology, 41(6), 1639-1649.

Lee, M. Y. & Noriza Majid. (2014). Faktor yang mempengaruhi pembelian insurans perubatan dan kesihatan di Kuala Lumpur. Jurnal Pengukuran Kualiti dan Analisis, 10(1),49-58.

Lloyd-Sherlock, P., McKee, M., Ebrahim, S., Gorman, M., Greengross, S., Prince, M., ... & Ferrucci, L. (2012). Population ageing and health. The Lancet, 379(9823), 1295-1296.

Lubitz, J., Cai, L., Kramarow, E., & Lentzner, H. (2003). Health, life expectancy, and health care spending among the elderly. New England Journal of Medicine, 349(11), 1048-1055

Mafauzy, M. (2000). The problems and challenges of the aging population of Malaysia. The Malaysian journal of medical sciences: MJMS, 7(1), 1.

Martin, L. G. (1988). The aging of Asia. Journal of Gerontology, 43(4), S99-S113.

Nordin, N. B., Nordin, N. B., & Ismail, N. W. A Study of Population Ages Structure and Health Care Expenditure in India. Journal of Management & Muamalah, 1.

Shang, B., & Goldman, D. (2008). Does age or life expectancy better predict health care expenditures?. Health Economics, 17(4), 487-501.

Sülkü, S. N., & Caner, A. (2011). Health care expenditures and gross domestic product: the Turkish case. The European Journal of Health Economics, 12(1), 29-38.

World Health Organization. (2015). World report on ageing and health.

Yang, Z., Norton, E. C., & Stearns, S. C. (2003). Longevity and health care expenditures: the real reasons older people spend more. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 58(1), S2-S10.

Zweifel, P., Felder, S., & Meiers, M. (1999). Ageing of population and health care expenditure: a red herring?. Health economics, 8(6), 485-496.