Systematic Reviews and Meta Analysis
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Factors affecting health expenditures: the case of MINT countries

Year 2025, Volume: 8 Issue: 2, 361 - 369, 21.03.2025
https://doi.org/10.32322/jhsm.1632229

Abstract

Aims: Per capita income, carbon dioxide emissions and urbanization are factors that have significant effects on health expenditures, and the interaction between these variables shapes the level of health and access to services in societies. The objective of this study is to analyse the impact of economic growth, air pollution and urbanisation on health expenditures in MINT (Mexico, Indonesia, Nigeria and Turkiye) countries.
Methods: The environmental factors affecting health expenditures are investigated with DHausman and LM Bootstrap cointegration tests among panel data analysis methods. After determining that the series are cointegrated, the coefficients of the variables are investigated with the help of AMG and CCEMG coefficient tests.
Results: According to the cointegration test results, it is proved that there is a long-run relationship between the series. With reference to results of AMG and CCEMG coefficient estimation, the coefficient of carbon dioxide emission variable is statistically significant at 1% significance level, while the effects of other variables on health expenditures are not statistically significant. However, a 1% increase in carbon dioxide emissions in the MINT country group increases health expenditures (per capita) by 0.20-0.25%.
Conclusion: The MINT country groupshould implement policies to prevent air pollution in order to reduce the increasing effect of CO2 emissions on health expenditures. JEL classification: E10, H10, O44.

References

  • OECD. Health at a glance: OECD indicators-2005 edition, multilingual summaries https://web-archive.oecd.org/2012-06-15/147667-35636867.pdf (access date: 7.4.2024).
  • Grossman, M. The human capital model of the demand for health. Working Paper 7078, National Bureau of Economic Research, New York; 1999.
  • Sofuoğlu, A. Hava kirliliği. İzmir Yüksek Teknoloji Enstitüsü, İzmir, 2003.
  • Menteşe, S. Çevresel sürdürülebilirlik açısından toprak, su ve hava kirliliği: teorik bir inceleme. J Int Soc Res. 2017;10(53):381-389. doi:10. 17719/jisr.20175334127
  • Worldbank. https://data.worldbank.org (access date: 10.10.2024).
  • Jaunky VC. The CO2 emissions-income nexus: evidence from rich countries. Energy Policy. 2011;39(3):1228-1240. doi:10.1016/j.enpol.2010. 11.050
  • Arouri MEH, Youssef AB, Mhenni H, Rault C. Energy consumption, economic growth and CO2 emissions in Middle East and North African countries. Energy Policy. 2012;45(C):342-349. doi:10.1016/j.enpol.2012. 02.042
  • Apergis N, Jebli MB, Youssef SB. Does renewable energy consumption and health expenditures decrease carbon dioxide emissions? Evidence for sub-Saharan Africa countries. Renewable Energy. 2018;127(C):1011-1016. doi:10.1016/j.renene.2018.05.043
  • Ozcan B. The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: a panel data analysis. Energy Policy. 2013;62:1138-1147. doi:10.1016/j.enpol.2013.07.016
  • Nasreen S. Association between health expenditures, economic growth and environmental pollution: long-run and causality analysis from Asian economies. Int J Health Plann Manage. 2021;36(3):925-944. doi: 10.1002/hpm.3132
  • Haseeb M, Kot S, Hussain HI, Jermsittiparsert K. Impact of economic growth, environmental pollution, and energy consumption on health expenditure and R&D expenditure of ASEAN countries. Energies. 2019; 12(19):1-21. doi:10.3390/en12193598
  • Yahaya A, Nor NM, Habibullah MS, Ghani JA, Noor ZM. How relevant is environmental quality to per capita health expenditures? Empirical evidence from panel of developing countries. Springerplus. 2016;5(1): 925. doi:10.1186/s40064-016-2505-x
  • Dogan, E., and Aslan, A. (2017). Exploring the relationship among CO2 emissions, real GDP, energy consumption and tourism in the EU and candidate countries: evidence from panel models robust to heterogeneity and cross-sectional dependence. Renewab Sustainab Energy Rev. 2017;77:239-245. doi:10.1016/j.rser.2017.03.111
  • Wang CM, Hsueh HP, Li F, Wu CF. Bootstrap ARDL on health expenditure, CO2 emissions, and GDP growth relationship for 18 OECD countries. Front Public Health. 2019;7:324. doi:10.3389/fpubh.2019. 00324
  • Hossain S. Panel estimation for CO2 emissions, energy consumption, economic growth, trade openness and urbanization of newly industrialized countries. Energy Policy. 2011;39(11):6991-6999. doi:10. 1016/j.enpol.2011.07.042
  • Anastacio JAR. Economic growth, CO2 emissions and electric consumption: is there an environmental Kuznets curve? An empirical study for North America countries. Int J Energy Econom Policy. 2017; 7(2):65-71.
  • Gövdeli T. Health Expenditure, economis growth, and CO2 emissions: evidence from the OECD countries. Adiyaman Uni J Soc Sci. 2019;11(31); 488-516. doi:10.14520/adyusbd.477571
  • Bekun FV, Alola AA, Gyamfi BA, Yaw SS. The relevance of EKC hypothesis in energy intensity real-output trade-off for sustainable environment in EU-27. Environ Sci Pollut Res Int. 2021;28(37):51137-51148. doi:10.1007/s11356-021-14251-4
  • Zaidi S, Saidi K. Environmental pollution, health expenditure and economic growth in the sub-Saharan Africa countries: panel ARDL approach. Sustainab Cities Soc. 2018;41:833-840. doi:10.1016/j.scs.2018. 04.034
  • Akbar M, Hussain A, Akbar A, Ullah I. The dynamic association between healthcare spending, CO2 emissions, and Human Development Index in OECD countries: evidence from panel VAR model. Environ Develop Sustainabil. 2021;23(7):10470-10489. doi:10.1007/s10668-020-01066-5
  • Keyifli N, Recepoğlu M. Sağlık harcamaları, CO2 emisyonu, yenilenebilir enerji tüketimi ve ekonomik büyüme: bootstrap panel nedensellik testinden kanıtlar. Karadeniz Teknik Üni Sos Bil Enstit Sos Bil Derg. 2020;10(20):285-305.
  • Mujtaba G, Shahzad SJH. Air pollutants, economic growth and public health: implications for sustainable development in OECD countries. Environ Sci Pollut Res Int. 2021;28(10):12686-12698. doi:10.1007/s11356-020-11212-1
  • Elmi ZM, Sadeghi S. Health care expenditures and economic growth in developing countries: panel co-integration and causality, Middle-East. J Sci Res. 2012;12(1):88-91. doi:10.5829/idosi.mejsr.2012.12.1.64196
  • Şen H, Kaya A, Alpaslan B. Education, health, and economic growth nexus: a bootstrap panel granger causality analysis for developing countries. Socioeconomics. 2018;26(36):125-144. doi:10.17233/sosyoekonomi. 2018.02.07
  • Omri A. CO2 emissions, energy consumption and economic growth nexus in MENA countries: evidence from simultaneous equations models. Energy Econom. 2013;40:657-664. doi:10.1016/j.eneco.2013.09. 003
  • Li K, Lin B. Impacts of urbanization and industrialization on energy consumption/CO2 emissions: does the level of development matter? Renewab Sustainab Energy Rev. 2015;52:1107-1122. doi:10.1016/j.rser.2015. 07.185
  • Yazdi SK, Khanalizadeh B. Air pollution, economic growth and health care expenditure. Econom Res. 2017;30(1):1181-1190. doi:10.1080/1331677X.2017.1314823
  • Samadi A, Homaie Rad E. Determinants of healthcare expenditure in economic cooperation organization (ECO) countries: evidence from panel cointegration tests. Int J Health Policy Manag. 2013;1(1):63-68. doi:10.15171/ijhpm.2013.10
  • Breusch TS, Pagan AR. The lagrange multiplier test and its applications to model specification in econometrics. Rev Econom Stud. 1980;47(1):239-253. doi:10.2307/2297111
  • Hsiao C. Analysis of panel data. Econometric society monographs, vol 11. Cambridge University Press, New York. 1986.
  • Westerlund, J. Panel cointegration tests of the fisher effect. J Appl Econometr. 2008;23(2):193-233. doi:10.1002/jae.967
  • Pesaran MH. A simple panel unit root test in the presence of cross-section dependence. J Appl Econometr. 2007;22(2):265-312. doi:10.1002/jae.951
  • Pesaran MH, Shin Y, Smith RJ. Bound testing approaches to the analysis of long-run relationships. J Appl Econometr. 2001;16(3):289-326. doi:10. 1002/jae.616
  • Westerlund J, Edgerton DL. A panel bootstrap cointegration test. Econom Lett. 2007;97(3):185-190. doi:10.1016/j.econlet.2007.03.003
  • Öztürk E. Elektrik tüketimi ile ekonomik büyüme arasındaki nedensellik ilişkisi: üst orta gelir grubu ülkeler panel veri analizi. Uluslararası İşlet Ekonom Yönet Perspekt Derg. 2018;1:1-10. doi:10.29228/ijbemp.6695
  • Aktaş N. E7 ülkelerindeki Ar-Ge harcamalarının yüksek teknolojili ürün ihracatlarına etkisi. Bil Teknol Yenilik Ekosist Derg. 2022;3(1):1-9.
  • Eberhard JP. Applying neuroscience to architecture. Neuron. 2009;62(6): 753-756. doi:10.1016/j.neuron.2009.06.001

Sağlık harcamalarına etki eden faktörler: MINT ülkeleri örneği

Year 2025, Volume: 8 Issue: 2, 361 - 369, 21.03.2025
https://doi.org/10.32322/jhsm.1632229

Abstract

Kişi başına düşen gelir, karbondioksit emisyonu ve kentleşme, sağlık harcamaları üzerinde önemli etkilere sahip olan faktörlerdir ve bu değişkenler arasındaki etkileşim, toplumların sağlık düzeyini ve hizmetlere erişimini şekillendirmektedir. Çalışmanın amacı MINT (Meksika, Endonezya, Nijerya ve Türkiye) ülkelerinde ekonomik büyüme, hava kirliliği ve kentleşmenin sağlık harcamaları üzerindeki etkisini incelemektir. Sağlık harcamalarına etki eden çevresel faktörler panel veri analizi yöntemlerinden Durbin-Hausman eşbütünleşme testi ile araştırılmıştır. Eşbütünleşme testi sonuçlarına göre seriler arasında uzun dönemli ilişki olduğu kanıtlanmıştır. Serilerin eş bütünleşik olduğunu tespit ettikten sonra değişkenlere ait katsayılar AMG (Augmented Mean Group) katsayı testi yardımıyla araştırılmıştır. AMG katsayı tahmini sonuçlarına göre karbondioksit emisyonu değişkenine ait katsayı %1 anlamlılık seviyesinde, kişi başına düşen gelir değişkenine ait katsayı %10 anlamlılık seviyesinde istatistiksel olarak anlamlıyken kentleşme değişkenine ait katsayı ise istatistiksel olarak anlamlı bulunmamıştır. Bununla beraber MINT ülke grubunda karbondioksit emisyonundaki %1’lik artış kişi başına düşen sağlık harcamalarını %0.25 oranında artırmaktadır. Ayrıca bu ülkelerde kişi başına düşen gelirde meydana gelen % 1 oranındaki artış sağlık harcamalarının %0.07 oranında azalmasına neden olmaktadır.

References

  • OECD. Health at a glance: OECD indicators-2005 edition, multilingual summaries https://web-archive.oecd.org/2012-06-15/147667-35636867.pdf (access date: 7.4.2024).
  • Grossman, M. The human capital model of the demand for health. Working Paper 7078, National Bureau of Economic Research, New York; 1999.
  • Sofuoğlu, A. Hava kirliliği. İzmir Yüksek Teknoloji Enstitüsü, İzmir, 2003.
  • Menteşe, S. Çevresel sürdürülebilirlik açısından toprak, su ve hava kirliliği: teorik bir inceleme. J Int Soc Res. 2017;10(53):381-389. doi:10. 17719/jisr.20175334127
  • Worldbank. https://data.worldbank.org (access date: 10.10.2024).
  • Jaunky VC. The CO2 emissions-income nexus: evidence from rich countries. Energy Policy. 2011;39(3):1228-1240. doi:10.1016/j.enpol.2010. 11.050
  • Arouri MEH, Youssef AB, Mhenni H, Rault C. Energy consumption, economic growth and CO2 emissions in Middle East and North African countries. Energy Policy. 2012;45(C):342-349. doi:10.1016/j.enpol.2012. 02.042
  • Apergis N, Jebli MB, Youssef SB. Does renewable energy consumption and health expenditures decrease carbon dioxide emissions? Evidence for sub-Saharan Africa countries. Renewable Energy. 2018;127(C):1011-1016. doi:10.1016/j.renene.2018.05.043
  • Ozcan B. The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: a panel data analysis. Energy Policy. 2013;62:1138-1147. doi:10.1016/j.enpol.2013.07.016
  • Nasreen S. Association between health expenditures, economic growth and environmental pollution: long-run and causality analysis from Asian economies. Int J Health Plann Manage. 2021;36(3):925-944. doi: 10.1002/hpm.3132
  • Haseeb M, Kot S, Hussain HI, Jermsittiparsert K. Impact of economic growth, environmental pollution, and energy consumption on health expenditure and R&D expenditure of ASEAN countries. Energies. 2019; 12(19):1-21. doi:10.3390/en12193598
  • Yahaya A, Nor NM, Habibullah MS, Ghani JA, Noor ZM. How relevant is environmental quality to per capita health expenditures? Empirical evidence from panel of developing countries. Springerplus. 2016;5(1): 925. doi:10.1186/s40064-016-2505-x
  • Dogan, E., and Aslan, A. (2017). Exploring the relationship among CO2 emissions, real GDP, energy consumption and tourism in the EU and candidate countries: evidence from panel models robust to heterogeneity and cross-sectional dependence. Renewab Sustainab Energy Rev. 2017;77:239-245. doi:10.1016/j.rser.2017.03.111
  • Wang CM, Hsueh HP, Li F, Wu CF. Bootstrap ARDL on health expenditure, CO2 emissions, and GDP growth relationship for 18 OECD countries. Front Public Health. 2019;7:324. doi:10.3389/fpubh.2019. 00324
  • Hossain S. Panel estimation for CO2 emissions, energy consumption, economic growth, trade openness and urbanization of newly industrialized countries. Energy Policy. 2011;39(11):6991-6999. doi:10. 1016/j.enpol.2011.07.042
  • Anastacio JAR. Economic growth, CO2 emissions and electric consumption: is there an environmental Kuznets curve? An empirical study for North America countries. Int J Energy Econom Policy. 2017; 7(2):65-71.
  • Gövdeli T. Health Expenditure, economis growth, and CO2 emissions: evidence from the OECD countries. Adiyaman Uni J Soc Sci. 2019;11(31); 488-516. doi:10.14520/adyusbd.477571
  • Bekun FV, Alola AA, Gyamfi BA, Yaw SS. The relevance of EKC hypothesis in energy intensity real-output trade-off for sustainable environment in EU-27. Environ Sci Pollut Res Int. 2021;28(37):51137-51148. doi:10.1007/s11356-021-14251-4
  • Zaidi S, Saidi K. Environmental pollution, health expenditure and economic growth in the sub-Saharan Africa countries: panel ARDL approach. Sustainab Cities Soc. 2018;41:833-840. doi:10.1016/j.scs.2018. 04.034
  • Akbar M, Hussain A, Akbar A, Ullah I. The dynamic association between healthcare spending, CO2 emissions, and Human Development Index in OECD countries: evidence from panel VAR model. Environ Develop Sustainabil. 2021;23(7):10470-10489. doi:10.1007/s10668-020-01066-5
  • Keyifli N, Recepoğlu M. Sağlık harcamaları, CO2 emisyonu, yenilenebilir enerji tüketimi ve ekonomik büyüme: bootstrap panel nedensellik testinden kanıtlar. Karadeniz Teknik Üni Sos Bil Enstit Sos Bil Derg. 2020;10(20):285-305.
  • Mujtaba G, Shahzad SJH. Air pollutants, economic growth and public health: implications for sustainable development in OECD countries. Environ Sci Pollut Res Int. 2021;28(10):12686-12698. doi:10.1007/s11356-020-11212-1
  • Elmi ZM, Sadeghi S. Health care expenditures and economic growth in developing countries: panel co-integration and causality, Middle-East. J Sci Res. 2012;12(1):88-91. doi:10.5829/idosi.mejsr.2012.12.1.64196
  • Şen H, Kaya A, Alpaslan B. Education, health, and economic growth nexus: a bootstrap panel granger causality analysis for developing countries. Socioeconomics. 2018;26(36):125-144. doi:10.17233/sosyoekonomi. 2018.02.07
  • Omri A. CO2 emissions, energy consumption and economic growth nexus in MENA countries: evidence from simultaneous equations models. Energy Econom. 2013;40:657-664. doi:10.1016/j.eneco.2013.09. 003
  • Li K, Lin B. Impacts of urbanization and industrialization on energy consumption/CO2 emissions: does the level of development matter? Renewab Sustainab Energy Rev. 2015;52:1107-1122. doi:10.1016/j.rser.2015. 07.185
  • Yazdi SK, Khanalizadeh B. Air pollution, economic growth and health care expenditure. Econom Res. 2017;30(1):1181-1190. doi:10.1080/1331677X.2017.1314823
  • Samadi A, Homaie Rad E. Determinants of healthcare expenditure in economic cooperation organization (ECO) countries: evidence from panel cointegration tests. Int J Health Policy Manag. 2013;1(1):63-68. doi:10.15171/ijhpm.2013.10
  • Breusch TS, Pagan AR. The lagrange multiplier test and its applications to model specification in econometrics. Rev Econom Stud. 1980;47(1):239-253. doi:10.2307/2297111
  • Hsiao C. Analysis of panel data. Econometric society monographs, vol 11. Cambridge University Press, New York. 1986.
  • Westerlund, J. Panel cointegration tests of the fisher effect. J Appl Econometr. 2008;23(2):193-233. doi:10.1002/jae.967
  • Pesaran MH. A simple panel unit root test in the presence of cross-section dependence. J Appl Econometr. 2007;22(2):265-312. doi:10.1002/jae.951
  • Pesaran MH, Shin Y, Smith RJ. Bound testing approaches to the analysis of long-run relationships. J Appl Econometr. 2001;16(3):289-326. doi:10. 1002/jae.616
  • Westerlund J, Edgerton DL. A panel bootstrap cointegration test. Econom Lett. 2007;97(3):185-190. doi:10.1016/j.econlet.2007.03.003
  • Öztürk E. Elektrik tüketimi ile ekonomik büyüme arasındaki nedensellik ilişkisi: üst orta gelir grubu ülkeler panel veri analizi. Uluslararası İşlet Ekonom Yönet Perspekt Derg. 2018;1:1-10. doi:10.29228/ijbemp.6695
  • Aktaş N. E7 ülkelerindeki Ar-Ge harcamalarının yüksek teknolojili ürün ihracatlarına etkisi. Bil Teknol Yenilik Ekosist Derg. 2022;3(1):1-9.
  • Eberhard JP. Applying neuroscience to architecture. Neuron. 2009;62(6): 753-756. doi:10.1016/j.neuron.2009.06.001
There are 37 citations in total.

Details

Primary Language English
Subjects Health Economy, Applied Economics (Other)
Journal Section Original Article
Authors

Sidar Atalay Şimşek 0000-0003-0288-1828

Gökhan Karhan 0000-0001-9775-7111

Hamza Şimşek 0000-0003-1141-0307

Publication Date March 21, 2025
Submission Date February 3, 2025
Acceptance Date February 26, 2025
Published in Issue Year 2025 Volume: 8 Issue: 2

Cite

AMA Atalay Şimşek S, Karhan G, Şimşek H. Factors affecting health expenditures: the case of MINT countries. J Health Sci Med / JHSM. March 2025;8(2):361-369. doi:10.32322/jhsm.1632229

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