Journals / InTraders Uluslararası Ticaret Akademik Dergisi / 2026 / Volume: 9 Issue: 1

The Relationship Between Pharmaceutical Expenditure, the Ageing Population and Income in Turkey: A Dynamic Regression Analysis

Ezgi Doğan(YÜKSEK İHTİSAS ÜNİVERSİTESİ)0000-0002-7751-7687
Pages
—
Publication Date
2026-07-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results highlight the need for policymakers to consider demographic projections when planning health and pharmaceutical budgets.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Developments in healthcare technology and improvements in the quality of healthcare services worldwide have increased life expectancy and, consequently, the ageing population.
📊
Key Findings & Data:The ageing population's multiple medication use, chronic disease burden, and frequency of visits to outpatient clinics and emergency departments increase healthcare expenditures and, consequently, pharmaceutical expenditures.
💡
Conclusion & Impact:The results highlight the need for policymakers to consider demographic projections when planning health and pharmaceutical budgets.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Health economics · pharmaceutical expenditure · health expenditure

Abstract

Developments in healthcare technology and improvements in the quality of healthcare services worldwide have increased life expectancy and, consequently, the ageing population. The growing ageing population is exerting pressure on healthcare systems and their financing, threatening their financial sustainability. The ageing population's multiple medication use, chronic disease burden, and frequency of visits to outpatient clinics and emergency departments increase healthcare expenditures and, consequently, pharmaceutical expenditures. This significant increase has been a driving force for the empirical examination of this relationship. This study examines per capita pharmaceutical expenditures, the proportion of the population aged 65 and over, and per capita income. The aim of this study is to determine whether income and the elderly population affect pharmaceutical expenditures and to develop policy recommendations accordingly. To analyse the extent to which pharmaceutical expenditures are affected by the ageing population and income level, a single-equation dynamic regression analysis with a lagged dependent variable was conducted, and Newey–West HAC standard errors were applied to address heteroscedasticity and autocorrelation. The findings obtained in this study, in the short term, the proportion of the ageing population and income level do not have a statistically significant effect on pharmaceutical expenditures; however, in the long term, an increase in the ageing population raises per capita pharmaceutical expenditures. This reveals that the increase in pharmaceutical expenditures is primarily attributable to changes in the demographic structure rather than temporary factors. The study's empirical findings offer implications for health policies. The results highlight the need for policymakers to consider demographic projections when planning health and pharmaceutical budgets.

🔖

Cite This Article

Doğan, E. (2026). The Relationship Between Pharmaceutical Expenditure, the Ageing Population and Income in Turkey: A Dynamic Regression Analysis. InTraders Uluslararası Ticaret Akademik Dergisi, Volume: 9 Issue: 1. https://doi.org/10.55065/intraders.1869708

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (28)

  1. Beceren, E., Balcı İzgi, B., & Fırat, E. (2021). Sağlık ve kalkınma ilişkisi OECD ülkelerinde sağlık harcamalarını belirleyen faktörler. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(2), 1-10. https://doi.org/10.52791/aksarayiibd.915196
  2. Çalışkan, Z. (2008). Referans fiyat ve ilaç piyasası. Hacettepe Sağlık İdaresi Dergisi, 11(1), 49-75. https://izlik.org/JA34YG24GN
  3. Eryer, A. (2024). Yaşlı nüfus ve sağlık harcamaları arasındaki ilişkinin belirlenmesi: Panel veri analizi. Econder Uluslararası Akademik Dergi, 8(2), 192-209. https://doi.org/10.35342/econder.1586805
  4. Getzen, T. E. (1992). Population aging and the growth of health expenditures. Journal of Gerontology, 47(3), 98-104. https://doi.org/10.1093/geronj/47.3.S98
  5. Hayran, O. (2019). Koruyucu hizmetler sağlık harcamalarını azaltabilir mi?. Journal of Biotechnology and Strategic Health Research, 3(3), 170-175. https://doi.org/10.34084/bshr.640902
  6. Hermanowski, T., Bystrov, V., Staszewska-Bystrova, A., Szafraniec-Buryło, S. I., Rabczenko, D., Kolasa, K., & Orlewska, E. (2015). Analysis of trends in life expectancies and per capita gross domestic product as well as pharmaceutical and non-pharmaceutical healthcare expenditures. Acta Pol Pharm, 72(5), 1045-50. https://ptfarm.pl/pub/File/Acta_Poloniae/2015/5/acta5_2015.pdf#page=229
  7. Kartal, G. (2024). Türkiye'de Phillips eğrisinin geçerliliği: Çoklu yapısal kırılmalara dayalı ampirik bulgular. İzmir İktisat Dergisi, 39(1), 114-138. https://doi.org/10.24988/ije.1302596
  8. Kildemoes, H. W., Christiansen, T., Gyrd-Hansen, D., Kristiansen, I. S., & Andersen, M. (2006). The impact of population ageing on future Danish drug expenditure. Health Policy, 75(3), 298-311. https://doi.org/10.1016/j.healthpol.2005.03.013
  9. Konca, M., Balçık, P. Y. & Biçer, İ. (2021). Yaşlı nüfus ile sağlık harcamaları arasındaki ilişkinin incelenmesi: Panel veriye dayalı bir uygulama. Iğdır Üniversitesi Sosyal Bilimler Dergisi, (26), 314-324. https://izlik.org/JA52AA54WW
  10. Lopreite, M., & Mauro, M. (2017). The effects of population ageing on health care expenditure: A Bayesian VAR analysis using data from Italy. Health Policy, 121(6), 663-674. https://doi.org/10.1016/j.healthpol.2017.03.015
  11. Lopreite, M., & Zhu, Z. (2020). The effects of ageing population on health expenditure and economic growth in China: A Bayesian-VAR approach. Social Science & Medicine, 265, 113513. https://doi.org/10.1016/j.socscimed.2020.113513
  12. Lu, W. H., Lee, W. J., Chen, L. K., & Hsiao, F. Y. (2016). Comparisons of annual health care utilization, drug consumption, and medical expenditure between the elderly and general population in Taiwan. Journal of Clinical Gerontology and Geriatrics, 7(2), 44-47. https://doi.org/10.1016/j.jcgg.2015.08.002
  13. Morgan, S. G. (2005). Booming prescription drug expenditure: A population-based analysis of age dynamics. Medical Care, 43(10), 996-1008. https://doi.org/10.1097/01.mlr.0000178217.84354.f1
  14. Morgan, S. G. (2006). Prescription drug expenditures and population demographics. Health Services Research, 41(2), 411-428. https://doi.org/10.1111/j.1475-6773.2005.00495.x
  15. Newey, W. K., & West, K. D. (1987). Hypothesis testing with efficient method of moments estimation. International Economic Review, 777-787. https://doi.org/10.2307/2526578
  16. OECD. (2023). Health at a glance 2023: OECD indicators. OECD Publishing. https://www.oecd.org/en/publications/health-at-a-glance_19991312.html
  17. Okunade A.A., You X. & Koleyni K., (2018). Cross-country medical expenditure modeling using OECD panel data and ardl approach: Investigating GDP, technology, and aging effects. In B. H. Baltagi & F. Moscone (Eds.), Health Econometrics. Emerald Publishing Limited. https://doi.org/10.1108/S0573-855520180000294018
  18. Öncebe, Şaban. (2024). The relationship between the elderly dependent population, healthcare expenditures, and domestic debt in Turkey. ISPEC International Journal of Social Sciences & Humanities, 8(4), 103–122. https://doi.org/10.5281/zenodo.14506494
  19. Öztürk, S., Başar, D., Özen, İ. C., & Çiftçi, A. Ö. (2019). Socio-economic and behavioral determinants of prescription and non-prescription medicine use: The case of Turkey. DARU Journal of Pharmaceutical Sciences, 27(2), 735-742. https://doi.org/10.1007/s40199-019-00311-1
  20. Palangkaraya, A., & Yong, J. (2009). Population ageing and its implications on aggregate health care demand: Empirical evidence from 22 OECD countries. International Journal of Health Care Finance and Economics, 9(4), 391–402. https://doi.org/10.1007/s10754-009-9057-3
  21. Pascual-Saez, M., Cantarero-Prieto, D., & Castañeda, D. (2017). Public health expenditure, GDP and the elderly population: A comparative study. International Journal of Social Economics, 44(10), 1390-1400. https://doi.org/10.1108/IJSE-03-2016-0106
  22. Saygın, E., Tolon, M., Doğan, B., & Atalay, K. D. (2021). Covid–19 pandemi döneminde e-sağlık okuryazarlığının incelenmesi üzerine bir araştırma. Üçüncü Sektör Sosyal Ekonomi Dergisi, 56(3), 1559-1575. https://doi.org/10.15659/3.sektor-sosyal-ekonomi.21.08.1605
  23. Sargan, J. D. (1980). Some tests of dynamic specification for a single equation. Econometrica, 48(4), 879–897. https://doi.org/10.2307/1912938
  24. Semykina, A., & Wooldridge, J. M. (2013). Estimation of dynamic panel data models with sample selection. Journal of Applied Econometrics, 28(1), 47-61. https://doi.org/10.1002/jae.1266
  25. Tamakoshi, T., & Hamori, S. (2015). Health-care expenditure, GDP and share of the elderly in Japan: A panel cointegration analysis. Applied Economics Letters, 22(9), 725–729. https://doi.org/10.1080/13504851.2014.972540
  26. Tıraş, H. H., & Türkmen, S. (2024). İlaç harcamaları ve GSYİH ilişkisi: Kişi başı en fazla ilaç harcaması yapan ülkeler örneği. The Journal of Academic Social Science, 157(157), 145-161. http://dx.doi.org/10.29228/ASOS.78009
  27. Uygun, S., & Yiğit, V. (2017). Effective inventory management in hospital enterprises: An application for drug stocks. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(18), 288-307. https://doi.org/10.20875/makusobed.302977
  28. Zweifel, P., Felder, S., & Meiers, M. (1999). Ageing of population and health care expenditure: A red herring?. Health Economics, 8(6), 485-496. https://doi.org/10.1002/(SICI)1099-1050(199909)8:6%3C485::AID-HEC461%3E3.0.CO;2-4