Research Article
BibTex RIS Cite

Yaşlanma, gelir ve kentleşmenin sağlık harcamaları üzerindeki etkisi: OECD ülkeleri için bir panel regresyon analizi

Year 2020, Volume: 18 Issue: 1, 1 - 9, 30.04.2020
https://doi.org/10.20518/tjph.426494

Abstract



Amaç: Bu çalışmanın
amacı, sağlık harcamalarına etki eden faktörleri panel veri analizi ile
incelemektir. Yöntem: Çalışma, 2005
ve 2015 yılları arasında 35 OECD ülkesinden elde edilen verileri içermektedir.
Panel Regresyon analizi STATA bilgisayar programı kullanılarak yapılmıştır.
Çalışmada satın alma gücü paritesine göre hesaplanmış kişi başına düşen sağlık
harcaması bağımlı değişken, yaşlanma, kentleşme ve gelir bağımsız değişken
olarak kullanılmıştır. Bu değişkenlerin sağlık harcamaları üzerindeki etkisi
sabit etkiler panel regresyon modeli ile incelenmiştir. Bulgular: Regresyon modeli yaşlanma, kentleşme ve gelirin kişi
başına düşen sağlık harcamaları üzerinde etkili olduğunu göstermektedir.
Örneğin, 65 yaş üstü nüfusun %1'lik artışı sağlık harcamalarında kişi başına
165 dolarlık artışa neden olmaktadır. Sonuç:
Sağlık harcamaları birçok faktörden etkilenmekle birlikte, yaşlanma, kentleşme
ve gelir gibi ülkelerin demografik yapısı ve demografik değişimleri sağlık
harcamalarının artmasında önemli rol oynamaktadır




References

  • References
  • 1- Erixon F, Marel E. What Is Driving The Rise In Health Care Expenditures? An Inquiry Into The Nature And Causes of The Cost Disease. Ecipe Working Paper 2016; 5: 1-27.
  • 2-Mutlu A, Işık A. Introduction to Health Economics. Bursa: Ekin Publishing. 2012.
  • 3-Gerdtham U, Löthgre, M. New panel results on cointegration of international health expenditure and GDP. Applied Economics 2010; 34: 1679-1686.
  • 4-Xu K, Saksena P, Holly A. The Determinants of Health Expenditure: A Country-Level Panel Data Analysis. World Health Organization. 2011 http://www.who.int
  • 5-Richter J. Economic Aspects of Aging: Review of The Literature. In: S. George J, editors. Demographic Causes and Economic Consequences of Population Aging. New York: Europe and North America; 1992. p.171-213.
  • 6-Seshamani M, Gray A. The impact of aging on expenditures in the National Health Service. Age and Aging 2002; 31: 287-294.
  • 7-World Health Organization (WHO). Countries Statistics [Online]. Available at: http://www.who.int/countries/en. Accessed July 20, 2017.
  • 8-International Monetary Fund (IMF). World Economic Outlook Database [Online]. Available at: http://www.imf.org/external/pubs/ft/weo/2016/02/weodata/index Accessed July 20, 2017.
  • 9-World Bank. Statistics [Online]. Available at: http://www.worldbank.org/ Accessed July 20, 2017.
  • 10-Newhouse J. Medical Care Expenditure: A Cross National Survey. Journal of Human Resources 1977;12: 115-125.
  • 11-Gerdtham U, Jonsson C. An Econometric Analysis of Health Care Expenditure: A Cross Section Study of OECD Countries. Journal of Health Economics, 1992; 11: 63-84.
  • 12-Huang L.S. Factors Influencing Healthcare Spending in Singapore: A Regression Model. International Journal of The Computer. The Internet and Management 2004; 12: 51-62.
  • 13-Çalışkan Z. The Health Expenditures In Oecd Countries: Panel Data Analysis. Erciyes University Faculty of Economics and Administrative Sciences Journal, 2009; 34: 117-137.
  • 14-Erol M.T. Population Ageing and its Impact on Health Care Expenditures in European Union. Social security 2011; 1(1): 54-81.
  • 15-Yang Z, Norton E.C, Stearns As. Longevity And Health Care Expenditures: The Real Reasons Older People Spend More. Journal Of Gerontology: Social Sciences 2003;, 58(1): 2-10.
  • 16-Hitiris T, Posnett J. The Determinants and Effects of Health Expenditure in Developed Countries. Journal of Health Economics, 1992;11(2): 173-181

The impacts of aging, income and urbanization on health expenditures: A panel regression analysis for OECD countries

Year 2020, Volume: 18 Issue: 1, 1 - 9, 30.04.2020
https://doi.org/10.20518/tjph.426494

Abstract




Objectives: The main purpose of this study is to investigate
the factors affecting health expenditure levels through a panel data analysis. Methods: The study includes data from
35 OECD member countries between 2005 and 2015. We carried out panel regression
analysis using STATA 13.0 econometric program. In the study, we used per capita
health expenditure figures according to purchasing power parity as the
dependent variable and we searched the impact of aging, urbanization and income
on health expenditures with
fixed effects panel regression model. Findings:
The regression model indicates that aging, urbanization and income
have positive effects on health expenditures
per capita. For instance, a 1% increase in population ages 65+ causes an
increase in health expenditures by $165 per capita. Conclusion: Although health expenditures are influenced by many
factors, demographic structures and demographic changes, such as aging,
urbanization and income, have a significant impact on health expenditures.


References

  • References
  • 1- Erixon F, Marel E. What Is Driving The Rise In Health Care Expenditures? An Inquiry Into The Nature And Causes of The Cost Disease. Ecipe Working Paper 2016; 5: 1-27.
  • 2-Mutlu A, Işık A. Introduction to Health Economics. Bursa: Ekin Publishing. 2012.
  • 3-Gerdtham U, Löthgre, M. New panel results on cointegration of international health expenditure and GDP. Applied Economics 2010; 34: 1679-1686.
  • 4-Xu K, Saksena P, Holly A. The Determinants of Health Expenditure: A Country-Level Panel Data Analysis. World Health Organization. 2011 http://www.who.int
  • 5-Richter J. Economic Aspects of Aging: Review of The Literature. In: S. George J, editors. Demographic Causes and Economic Consequences of Population Aging. New York: Europe and North America; 1992. p.171-213.
  • 6-Seshamani M, Gray A. The impact of aging on expenditures in the National Health Service. Age and Aging 2002; 31: 287-294.
  • 7-World Health Organization (WHO). Countries Statistics [Online]. Available at: http://www.who.int/countries/en. Accessed July 20, 2017.
  • 8-International Monetary Fund (IMF). World Economic Outlook Database [Online]. Available at: http://www.imf.org/external/pubs/ft/weo/2016/02/weodata/index Accessed July 20, 2017.
  • 9-World Bank. Statistics [Online]. Available at: http://www.worldbank.org/ Accessed July 20, 2017.
  • 10-Newhouse J. Medical Care Expenditure: A Cross National Survey. Journal of Human Resources 1977;12: 115-125.
  • 11-Gerdtham U, Jonsson C. An Econometric Analysis of Health Care Expenditure: A Cross Section Study of OECD Countries. Journal of Health Economics, 1992; 11: 63-84.
  • 12-Huang L.S. Factors Influencing Healthcare Spending in Singapore: A Regression Model. International Journal of The Computer. The Internet and Management 2004; 12: 51-62.
  • 13-Çalışkan Z. The Health Expenditures In Oecd Countries: Panel Data Analysis. Erciyes University Faculty of Economics and Administrative Sciences Journal, 2009; 34: 117-137.
  • 14-Erol M.T. Population Ageing and its Impact on Health Care Expenditures in European Union. Social security 2011; 1(1): 54-81.
  • 15-Yang Z, Norton E.C, Stearns As. Longevity And Health Care Expenditures: The Real Reasons Older People Spend More. Journal Of Gerontology: Social Sciences 2003;, 58(1): 2-10.
  • 16-Hitiris T, Posnett J. The Determinants and Effects of Health Expenditure in Developed Countries. Journal of Health Economics, 1992;11(2): 173-181
There are 17 citations in total.

Details

Primary Language English
Subjects Health Care Administration
Journal Section Original Research
Authors

Canser Boz 0000-0002-6136-4479

Nihat Taş 0000-0002-1379-0449

Emrah Önder 0000-0002-0554-1290

Publication Date April 30, 2020
Submission Date May 23, 2018
Acceptance Date March 8, 2020
Published in Issue Year 2020 Volume: 18 Issue: 1

Cite

APA Boz, C., Taş, N., & Önder, E. (2020). The impacts of aging, income and urbanization on health expenditures: A panel regression analysis for OECD countries. Turkish Journal of Public Health, 18(1), 1-9. https://doi.org/10.20518/tjph.426494
AMA Boz C, Taş N, Önder E. The impacts of aging, income and urbanization on health expenditures: A panel regression analysis for OECD countries. TJPH. April 2020;18(1):1-9. doi:10.20518/tjph.426494
Chicago Boz, Canser, Nihat Taş, and Emrah Önder. “The Impacts of Aging, Income and Urbanization on Health Expenditures: A Panel Regression Analysis for OECD Countries”. Turkish Journal of Public Health 18, no. 1 (April 2020): 1-9. https://doi.org/10.20518/tjph.426494.
EndNote Boz C, Taş N, Önder E (April 1, 2020) The impacts of aging, income and urbanization on health expenditures: A panel regression analysis for OECD countries. Turkish Journal of Public Health 18 1 1–9.
IEEE C. Boz, N. Taş, and E. Önder, “The impacts of aging, income and urbanization on health expenditures: A panel regression analysis for OECD countries”, TJPH, vol. 18, no. 1, pp. 1–9, 2020, doi: 10.20518/tjph.426494.
ISNAD Boz, Canser et al. “The Impacts of Aging, Income and Urbanization on Health Expenditures: A Panel Regression Analysis for OECD Countries”. Turkish Journal of Public Health 18/1 (April 2020), 1-9. https://doi.org/10.20518/tjph.426494.
JAMA Boz C, Taş N, Önder E. The impacts of aging, income and urbanization on health expenditures: A panel regression analysis for OECD countries. TJPH. 2020;18:1–9.
MLA Boz, Canser et al. “The Impacts of Aging, Income and Urbanization on Health Expenditures: A Panel Regression Analysis for OECD Countries”. Turkish Journal of Public Health, vol. 18, no. 1, 2020, pp. 1-9, doi:10.20518/tjph.426494.
Vancouver Boz C, Taş N, Önder E. The impacts of aging, income and urbanization on health expenditures: A panel regression analysis for OECD countries. TJPH. 2020;18(1):1-9.

13955                                        13956                                                             13958                                       13959                                        28911


TURKISH JOURNAL OF PUBLIC HEALTH - TURK J PUBLIC HEALTH. online-ISSN: 1304-1096 

Copyright holder Turkish Journal of Public Health. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International LicenseCreative Commons License