Araştırma Makalesi
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Examining The Role Of Health Expenditure, Insurance Penetration, And Environmental Factors In Life Expectancy Across G7 Countries

Yıl 2025, Cilt: 11 Sayı: 2, 209 - 226, 30.12.2025
https://izlik.org/JA72AX74MN

Öz

Life expectancy is directly related to the health conditions, economic welfare level and environmental sustainability efforts of individuals and is a basic indicator in directing development policies. In this context, determining the factors affecting life expectancy is important in terms of increasing the efficiency of health services, reducing environmental risks and making social security systems more inclusive. In this study, the effects of insurance penetration, per capita health expenditures, renewable energy consumption and air pollution on life expectancy in G7 countries between 2000-2022 were analyzed. G7 countries were included in the study due to their developed economic structures, widespread insurance systems and their effects on global health policies. In the analyses carried out using the panel data set, the two-stage system Generalized Method of Moments (System-GMM) was preferred, taking into account the non-stationary structures in the data set and the heterogeneity between countries. The findings obtained show that health expenditures, insurance penetration and renewable energy consumption positively affect life expectancy; on the other hand, air pollution has significant and negative effects on life expectancy. The results of the study reveal that integrated health, insurance and environmental policies to be developed in G7 countries can play a critical role in increasing life expectancy. In this context, it is recommended that policies aimed at increasing the coverage of social security systems, increasing the efficiency of health expenditures and reducing environmental risks should be addressed with a holistic approach in order to achieve sustainable development goals.

Kaynakça

  • Akbar, M., Hussain, A., Akbar, A., & Ullah, I. (2021). The dynamic association between healthcare spending, CO₂ emissions, and human development index in OECD countries: Evidence from panel VAR model. Environment, Development and Sustainability, 23, 10470–10489.
  • Akbulut, F. (2023). Sahra Altı Afrika ülkelerinde sosyo-ekonomik faktörlerin ortalama yaşam süresine etkisinin panel veri analiz yöntemiyle incelenmesi. Abant Sosyal Bilimler Dergisi, 23(1), 55–67.
  • Arena, M. (2008). Does insurance market activity promote economic growth? A cross-country study for industrialized and developing countries. Journal of Risk and Insurance, 75(4), 921–946.
  • Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. https://doi.org/10.2307/2297968
  • Aytemiz, L., Sart, G., Bayar, Y., Danilina, M., & Sezgin, F. H. (2024). The long-term effect of social, educational, and health expenditures on indicators of life expectancy: An empirical analysis for the OECD countries. Frontiers in Public Health, 12, 1497794.
  • Baltagi, B. H., & Moscone, F. (2010). Health care expenditure and income in the OECD reconsidered: Evidence from panel data. Economic Modelling, 27(4), 804–811.
  • Beck, T., & Webb, I. (2003). Economic, demographic, and institutional determinants of life insurance consumption across countries. World Bank Economic Review, 17(1), 51–88.
  • Bilgili, F., Koçak, E., & Bulut, Ü. (2016). The dynamic impact of renewable energy consumption on CO₂ emissions: A revisited Environmental Kuznets Curve approach. Renewable and Sustainable Energy Reviews, 54, 838–845. https://doi.org/10.1016/j.rser.2015.10.080
  • Black, C., Tesfaigzi, Y., Bassein, J. A., & Miller, L. A. (2017). Wildfire smoke exposure and human health: Significant gaps in research for a growing public health issue. Environmental Toxicology and Pharmacology, 55, 186–195.
  • Bloom, D. E., Canning, D., & Sevilla, J. (2015). The effect of health on economic growth: A production function approach. World Development, 32(1), 1–13.
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8
  • Çetin, B., & Aktaş, H. (2021). Türkiye’de sağlık harcamalarının yaşam beklentisi üzerindeki etkileri: 2000–2020 dönemi. İktisat ve Finans Araştırmaları Dergisi, 26(1), 45–62.
  • Cheng, L., Liu, H., Zhang, Y., Shen, K., & Zeng, Y. (2015). The impact of health insurance on health outcomes and spending of the elderly: Evidence from China's new cooperative medical scheme. Health Economics, 24(6), 672–691.
  • Cutler, D. M., Deaton, A., & Lleras-Muney, A. (2006). The determinants of mortality. Journal of Economic Perspectives, 20(3), 97–120. https://doi.org/10.1257/jep.20.3.97.
  • DEFFA. (2020). Air pollution in the UK 2019. Department for Environment, Food and Rural Affairs. https://uk-air.defra.gov.uk/library/annualreport/viewonline?year=2019.
  • Dominici, F., Peng, R. D., Bell, M. L., et al. (2006). Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA, 295(10), 1127–1134.
  • Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460.
  • Ikegami, N., & Anderson, G. F. (2012). In Japan, All-Payer Rate Setting Under Tight Government Control Has Proved To Be An Effective Approach To Containing Costs. Health Affairs, 31(5), 1049–1056.
  • International Energy Agency (IEA). (2021). World Energy Outlook 2021. https://www.iea.org/reports/world-energy-outlook-2021
  • International Energy Agency (IEA). (2025). Renewables. https://www.iea.org/energy-system/renewables
  • International Energy Agency (IEA). (2022). World Energy Outlook 2022. https://www.iea.org/reports/world-energy-outlook-2022
  • Kostak, P., & Topcu, E. (2021). CO2 salınımı, sağlık harcamaları ve ekonomik büyüme arasındaki nedensel ilişki: AB ülkeleri üzerine bir inceleme. (Yüksek lisans tezi). Nevşehir Hacı Bektaş Veli Üniversitesi.
  • Kutlu, G., & Örün, E. (2023). The effect of carbon dioxide emission, GDP per capita and urban population on health expenditure in OECD countries: A panel ARDL approach. International Journal of Environmental Health Research, 33(12), 1233–1242.
  • Kwon, S. (2009). Thirty years of national health insurance in South Korea: Lessons for achieving universal health care coverage. Health Policy and Planning, 24(1), 63–71. https://doi.org/10.1093/heapol/czn037
  • Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D., & Pozzer, A. (2015). The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature, 525(7569), 367–371. https://doi.org/10.1038/nature15371
  • Luy, M., Wegner-Siegmundt, C., Wiedemann, A., & Spijker, J. (2011). Life expectancy by education, income and occupation in Germany: Estimations using the longitudinal survival method. Comparative Population Studies, 36(4), 911–934. https://doi.org/10.12765/CPoS-2011-16en
  • Nixon, J., & Ulmann, P. (2006). The relationship between health care expenditure and health outcomes. European Journal of Health Economics, 7(1), 7–18.
  • OECD. (2020). Health at a Glance 2020: OECD indicators. OECD Publishing.
  • OECD. (2025). Life expectancy. OECD Data Explorer. https://data.oecd.org/healthstat/life-expectancy-at-birth.htm
  • OECD..(2025). Insurance indicators. OECD Data Explorer. https://data.oecd.org/insurance/insurance-indicators.htm
  • Outreville, J. F. (2013). The relationship between insurance and economic development: 85 empirical papers for a review of the literature. Risk Management and Insurance Review, 16(1), 71–122.
  • Öztürk, A., & Yılmaz, S. (2022). Türkiye’de yenilenebilir enerji yatırımlarının çevre ve yaşam beklentisi üzerindeki etkileri. Ekonomik Kalkınma ve Çevre Dergisi, 34(2), 88–102.
  • Özgün, F. (2024). Türkiye’de enerji tüketimi, yaşam beklentisi ve ekonomik büyüme ilişkisi: ARDL sınır testi yaklaşımı. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 12(Özel Sayı), 123–143.
  • Pata, U. K., & Samour, A. (2023). Assessing the role of the insurance market and renewable energy in the load capacity factor of OECD countries. Environmental Science and Pollution Research, 30(16), 48604–48616. Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper Series No. 1229. https://ssrn.com/abstract=572504
  • Rapi, K., Priyarsono, D. S., Jahroh, S., & Bakhtiar, T. (2024). The non-monotonic relationship between income and life insurance demand: A case study of forty-one countries. Economies, 13(1), 4.
  • Rapi, K., Priyarsono, D. S., Jahroh, S., & Bakhtiar, T. (2025). A cross-sectional study of risk aversion and life insurance demand at the country level. Journal of Risk and Financial Management, 18(3), 121.
  • Ren, X., An, Y., He, F., & Goodell, J. W. (2024). Do FDI inflows bring both capital and CO₂ emissions? Evidence from non-parametric modelling for the G7 countries. International Review of Economics & Finance, 95, 103420. https://doi.org/10.1016/j.iref.2024.02.012
  • Sahin, G. (2022). Yüksek hava kirliliği yaşanan ülkelerde doğumda yaşam beklentisi ve çevresel bozulma bağlantısı. Ekonomi Politika ve Finans Araştırmaları Dergisi, 7(3), 758–783.
  • Sachs, J. D., Schmidt-Traub, G., Mazzucato, M., Messner, D., Nakicenovic, N., & Rockström, J. (2019). Six transformations to achieve the Sustainable Development Goals. Nature Sustainability, 2(9), 805-814.
  • Savedoff, W. D., & Smith, A. L. (2011). Achieving universal health coverage: Learning from Chile, Japan, Malaysia and Sweden (World Bank Policy Research Working Paper No. 5755).
  • Srinivasan, M., & Mitra, S. (2024). Determinants of life insurance consumption in OECD countries using FMOLS and DOLS techniques. Risks, 12(2), 35.
  • Tekbaş, M. (2023). Türkiye’nin sürdürülebilir kalkınma sürecinde bankacılık sektörü gelişimi ile CO₂ emisyonu ilişkisi. JOEEP: Journal of Emerging Economies and Policy, 9(Özel Sayı), 66–77.
  • Tıraş, H. H., & Özbek, S. (2021). Doğuşta yaşam beklentisini etkileyen faktörlerin tahmini: E-7 ülkeleri örneği. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 22(2), 145–167.
  • Trinh, C. T., Ha, M. T., Ho, N. Q., & Alang, T. (2023). National culture, public health spending and life insurance consumption: An international comparison. Humanities and Social Sciences Communications, 10(1), 1–14. https://doi.org/10.1057/s41599-023-01395-w
  • United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development (A/RES/70/1). https://sdgs.un.org/2030agenda
  • Woolf, S. H., & Schoomaker, H. (2019). Life expectancy and mortality rates in the United States, 1959-2017. Jama, 322(20), 1996-2016.
  • World Bank. (2025). External health expenditure (% of current health expenditure). https://data.worldbank.org/indicator/SH.XPD.EHEX.CH.ZS
  • World Health Organization (WHO). (2025). Air pollution. https://www.who.int/health-topics/air-pollution#tab=tab_1
  • World Health Organization (WHO). (2020). Primary health care on the road to universal health coverage: 2019 global monitoring report. https://www.who.int/publications/i/item/9789240029040
  • World Health Organization (WHO). (2021). Ambient (outdoor) air quality and health. https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health
  • Wu, Y. (2025). The impact of climate risks on green technology innovation: An empirical study based on panel data of 269 cities in China. Frontiers in Environmental Science, 12, 1510883. https://doi.org/10.3389/fenvs.2025.1510883

G7 Ülkelerinde Sağlık Harcamaları, Sigorta Penetrasyonu Ve Çevresel Faktörlerin Yaşam Beklentisi Üzerindeki Rolü

Yıl 2025, Cilt: 11 Sayı: 2, 209 - 226, 30.12.2025
https://izlik.org/JA72AX74MN

Öz

Yaşam beklentisi, bireylerin sağlık koşulları, ekonomik refah düzeyi ve çevresel sürdürülebilirlik çabalarıyla doğrudan ilişkili olup, kalkınma politikalarının yönlendirilmesinde temel bir gösterge niteliği taşımaktadır. Bu doğrultuda, yaşam beklentisini etkileyen faktörlerin belirlenmesi; sağlık hizmetlerinin verimliliğini artırmak, çevresel riskleri azaltmak ve sosyal güvenlik sistemlerini daha kapsayıcı hâle getirmek açısından önem arz etmektedir. Bu çalışmada, 2000-2022 yılları arasında G7 ülkelerinde sigorta penetrasyonu, kişi başına sağlık harcamaları, yenilenebilir enerji tüketimi ve hava kirliliğinin yaşam beklentisi üzerindeki etkileri analiz edilmiştir. G7 ülkeleri, gelişmiş ekonomik yapıları, yaygın sigorta sistemleri ve küresel sağlık politikaları üzerindeki etkileri nedeniyle çalışmaya dâhil edilmiştir. Panel veri seti kullanılarak gerçekleştirilen analizlerde, veri setinde yer alan durağan olmayan yapılar ve ülkeler arası heterojenlik dikkate alınarak iki aşamalı sistem Genelleştirilmiş Momentler Yöntemi (Sistem-GMM) tercih edilmiştir. Elde edilen bulgular, sağlık harcamaları, sigorta penetrasyonu ve yenilenebilir enerji tüketiminin yaşam beklentisini olumlu yönde etkilediğini; buna karşılık, hava kirliliğinin yaşam süresi üzerinde anlamlı ve olumsuz etkiler yarattığını göstermektedir. Çalışmanın sonuçları, G7 ülkelerinde geliştirilecek entegre sağlık, sigorta ve çevre politikalarının yaşam beklentisini artırmada kritik bir rol oynayabileceğini ortaya koymaktadır. Bu kapsamda, sürdürülebilir kalkınma hedeflerine ulaşmak için sosyal güvenlik sistemlerinin kapsayıcılığının artırılması, sağlık harcamalarının etkinliğinin yükseltilmesi ve çevresel risklerin azaltılmasına yönelik politikaların bütüncül bir yaklaşımla ele alınması önerilmektedir.

Kaynakça

  • Akbar, M., Hussain, A., Akbar, A., & Ullah, I. (2021). The dynamic association between healthcare spending, CO₂ emissions, and human development index in OECD countries: Evidence from panel VAR model. Environment, Development and Sustainability, 23, 10470–10489.
  • Akbulut, F. (2023). Sahra Altı Afrika ülkelerinde sosyo-ekonomik faktörlerin ortalama yaşam süresine etkisinin panel veri analiz yöntemiyle incelenmesi. Abant Sosyal Bilimler Dergisi, 23(1), 55–67.
  • Arena, M. (2008). Does insurance market activity promote economic growth? A cross-country study for industrialized and developing countries. Journal of Risk and Insurance, 75(4), 921–946.
  • Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. https://doi.org/10.2307/2297968
  • Aytemiz, L., Sart, G., Bayar, Y., Danilina, M., & Sezgin, F. H. (2024). The long-term effect of social, educational, and health expenditures on indicators of life expectancy: An empirical analysis for the OECD countries. Frontiers in Public Health, 12, 1497794.
  • Baltagi, B. H., & Moscone, F. (2010). Health care expenditure and income in the OECD reconsidered: Evidence from panel data. Economic Modelling, 27(4), 804–811.
  • Beck, T., & Webb, I. (2003). Economic, demographic, and institutional determinants of life insurance consumption across countries. World Bank Economic Review, 17(1), 51–88.
  • Bilgili, F., Koçak, E., & Bulut, Ü. (2016). The dynamic impact of renewable energy consumption on CO₂ emissions: A revisited Environmental Kuznets Curve approach. Renewable and Sustainable Energy Reviews, 54, 838–845. https://doi.org/10.1016/j.rser.2015.10.080
  • Black, C., Tesfaigzi, Y., Bassein, J. A., & Miller, L. A. (2017). Wildfire smoke exposure and human health: Significant gaps in research for a growing public health issue. Environmental Toxicology and Pharmacology, 55, 186–195.
  • Bloom, D. E., Canning, D., & Sevilla, J. (2015). The effect of health on economic growth: A production function approach. World Development, 32(1), 1–13.
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8
  • Çetin, B., & Aktaş, H. (2021). Türkiye’de sağlık harcamalarının yaşam beklentisi üzerindeki etkileri: 2000–2020 dönemi. İktisat ve Finans Araştırmaları Dergisi, 26(1), 45–62.
  • Cheng, L., Liu, H., Zhang, Y., Shen, K., & Zeng, Y. (2015). The impact of health insurance on health outcomes and spending of the elderly: Evidence from China's new cooperative medical scheme. Health Economics, 24(6), 672–691.
  • Cutler, D. M., Deaton, A., & Lleras-Muney, A. (2006). The determinants of mortality. Journal of Economic Perspectives, 20(3), 97–120. https://doi.org/10.1257/jep.20.3.97.
  • DEFFA. (2020). Air pollution in the UK 2019. Department for Environment, Food and Rural Affairs. https://uk-air.defra.gov.uk/library/annualreport/viewonline?year=2019.
  • Dominici, F., Peng, R. D., Bell, M. L., et al. (2006). Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA, 295(10), 1127–1134.
  • Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460.
  • Ikegami, N., & Anderson, G. F. (2012). In Japan, All-Payer Rate Setting Under Tight Government Control Has Proved To Be An Effective Approach To Containing Costs. Health Affairs, 31(5), 1049–1056.
  • International Energy Agency (IEA). (2021). World Energy Outlook 2021. https://www.iea.org/reports/world-energy-outlook-2021
  • International Energy Agency (IEA). (2025). Renewables. https://www.iea.org/energy-system/renewables
  • International Energy Agency (IEA). (2022). World Energy Outlook 2022. https://www.iea.org/reports/world-energy-outlook-2022
  • Kostak, P., & Topcu, E. (2021). CO2 salınımı, sağlık harcamaları ve ekonomik büyüme arasındaki nedensel ilişki: AB ülkeleri üzerine bir inceleme. (Yüksek lisans tezi). Nevşehir Hacı Bektaş Veli Üniversitesi.
  • Kutlu, G., & Örün, E. (2023). The effect of carbon dioxide emission, GDP per capita and urban population on health expenditure in OECD countries: A panel ARDL approach. International Journal of Environmental Health Research, 33(12), 1233–1242.
  • Kwon, S. (2009). Thirty years of national health insurance in South Korea: Lessons for achieving universal health care coverage. Health Policy and Planning, 24(1), 63–71. https://doi.org/10.1093/heapol/czn037
  • Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D., & Pozzer, A. (2015). The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature, 525(7569), 367–371. https://doi.org/10.1038/nature15371
  • Luy, M., Wegner-Siegmundt, C., Wiedemann, A., & Spijker, J. (2011). Life expectancy by education, income and occupation in Germany: Estimations using the longitudinal survival method. Comparative Population Studies, 36(4), 911–934. https://doi.org/10.12765/CPoS-2011-16en
  • Nixon, J., & Ulmann, P. (2006). The relationship between health care expenditure and health outcomes. European Journal of Health Economics, 7(1), 7–18.
  • OECD. (2020). Health at a Glance 2020: OECD indicators. OECD Publishing.
  • OECD. (2025). Life expectancy. OECD Data Explorer. https://data.oecd.org/healthstat/life-expectancy-at-birth.htm
  • OECD..(2025). Insurance indicators. OECD Data Explorer. https://data.oecd.org/insurance/insurance-indicators.htm
  • Outreville, J. F. (2013). The relationship between insurance and economic development: 85 empirical papers for a review of the literature. Risk Management and Insurance Review, 16(1), 71–122.
  • Öztürk, A., & Yılmaz, S. (2022). Türkiye’de yenilenebilir enerji yatırımlarının çevre ve yaşam beklentisi üzerindeki etkileri. Ekonomik Kalkınma ve Çevre Dergisi, 34(2), 88–102.
  • Özgün, F. (2024). Türkiye’de enerji tüketimi, yaşam beklentisi ve ekonomik büyüme ilişkisi: ARDL sınır testi yaklaşımı. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 12(Özel Sayı), 123–143.
  • Pata, U. K., & Samour, A. (2023). Assessing the role of the insurance market and renewable energy in the load capacity factor of OECD countries. Environmental Science and Pollution Research, 30(16), 48604–48616. Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper Series No. 1229. https://ssrn.com/abstract=572504
  • Rapi, K., Priyarsono, D. S., Jahroh, S., & Bakhtiar, T. (2024). The non-monotonic relationship between income and life insurance demand: A case study of forty-one countries. Economies, 13(1), 4.
  • Rapi, K., Priyarsono, D. S., Jahroh, S., & Bakhtiar, T. (2025). A cross-sectional study of risk aversion and life insurance demand at the country level. Journal of Risk and Financial Management, 18(3), 121.
  • Ren, X., An, Y., He, F., & Goodell, J. W. (2024). Do FDI inflows bring both capital and CO₂ emissions? Evidence from non-parametric modelling for the G7 countries. International Review of Economics & Finance, 95, 103420. https://doi.org/10.1016/j.iref.2024.02.012
  • Sahin, G. (2022). Yüksek hava kirliliği yaşanan ülkelerde doğumda yaşam beklentisi ve çevresel bozulma bağlantısı. Ekonomi Politika ve Finans Araştırmaları Dergisi, 7(3), 758–783.
  • Sachs, J. D., Schmidt-Traub, G., Mazzucato, M., Messner, D., Nakicenovic, N., & Rockström, J. (2019). Six transformations to achieve the Sustainable Development Goals. Nature Sustainability, 2(9), 805-814.
  • Savedoff, W. D., & Smith, A. L. (2011). Achieving universal health coverage: Learning from Chile, Japan, Malaysia and Sweden (World Bank Policy Research Working Paper No. 5755).
  • Srinivasan, M., & Mitra, S. (2024). Determinants of life insurance consumption in OECD countries using FMOLS and DOLS techniques. Risks, 12(2), 35.
  • Tekbaş, M. (2023). Türkiye’nin sürdürülebilir kalkınma sürecinde bankacılık sektörü gelişimi ile CO₂ emisyonu ilişkisi. JOEEP: Journal of Emerging Economies and Policy, 9(Özel Sayı), 66–77.
  • Tıraş, H. H., & Özbek, S. (2021). Doğuşta yaşam beklentisini etkileyen faktörlerin tahmini: E-7 ülkeleri örneği. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 22(2), 145–167.
  • Trinh, C. T., Ha, M. T., Ho, N. Q., & Alang, T. (2023). National culture, public health spending and life insurance consumption: An international comparison. Humanities and Social Sciences Communications, 10(1), 1–14. https://doi.org/10.1057/s41599-023-01395-w
  • United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development (A/RES/70/1). https://sdgs.un.org/2030agenda
  • Woolf, S. H., & Schoomaker, H. (2019). Life expectancy and mortality rates in the United States, 1959-2017. Jama, 322(20), 1996-2016.
  • World Bank. (2025). External health expenditure (% of current health expenditure). https://data.worldbank.org/indicator/SH.XPD.EHEX.CH.ZS
  • World Health Organization (WHO). (2025). Air pollution. https://www.who.int/health-topics/air-pollution#tab=tab_1
  • World Health Organization (WHO). (2020). Primary health care on the road to universal health coverage: 2019 global monitoring report. https://www.who.int/publications/i/item/9789240029040
  • World Health Organization (WHO). (2021). Ambient (outdoor) air quality and health. https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health
  • Wu, Y. (2025). The impact of climate risks on green technology innovation: An empirical study based on panel data of 269 cities in China. Frontiers in Environmental Science, 12, 1510883. https://doi.org/10.3389/fenvs.2025.1510883
Toplam 51 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Politika ve Yönetim (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Serap Yörübulut 0000-0003-0781-4405

Gönderilme Tarihi 11 Ağustos 2025
Kabul Tarihi 12 Kasım 2025
Erken Görünüm Tarihi 13 Aralık 2025
Yayımlanma Tarihi 30 Aralık 2025
IZ https://izlik.org/JA72AX74MN
Yayımlandığı Sayı Yıl 2025 Cilt: 11 Sayı: 2

Kaynak Göster

APA Yörübulut, S. (2025). G7 Ülkelerinde Sağlık Harcamaları, Sigorta Penetrasyonu Ve Çevresel Faktörlerin Yaşam Beklentisi Üzerindeki Rolü. Ekonomi İşletme Siyaset ve Uluslararası İlişkiler Dergisi, 11(2), 209-226. https://izlik.org/JA72AX74MN

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