Yüksek Hava Kirliliği Yaşanan Ülkelerde Doğumda Yaşam Beklentisi ve Çevresel Bozulma Bağlantısı

Year 2022, Volume: 7 Issue: 3, 758 - 783, 30.09.2022

Güller Şahin

https://doi.org/10.30784/epfad.1135846

Cited By: 1

Abstract

Bu çalışmanın amacı, Dünya Hava Kalitesi Raporu’nda (2021) tehlikeli, çok sağlıksız ve sağlıksız hava kirliliği yaşayan ülke kategorilerinde yer alan toplam 32 ülkenin 2000-2019 yılları arasındaki PM2.5 hava kirliliği, kamu sağlık harcamaları, doğurganlık ve ölüm oranlarının doğumda yaşam beklentisi üzerindeki etkilerinin panel kantil regresyon modeli ile incelenmesidir. Amaç doğrultusunda öncelikle korelasyon analizi, çoklu doğrusal bağlantı, normallik sınamaları ve Hausman testi metodolojileri takip edilmektedir. Ardılı 10th-90th kantil aralığı için panel kantil regresyon analizi yapılmakta, bulgular heterojenlik varsayımının doğrulandığı durum için robust standart hatalarla tahmin edilerek yorumlanmaktadır. Robust standart hatalara sahip tahmin sonuçlarında, model içerisindeki tüm değişkenlerin %5 anlam seviyesinde istatistiksel olarak anlamlı olduğuna ulaşılmaktadır. Sonuçlara göre, PM2.5 hava kirliliğinde, doğurganlık ve ölüm oranlarında meydana gelen %1’lik bir artış doğumda yaşam beklentisini, sırasıyla, ~%0.02, ~%0.17 ve ~%0.09 oranlarında azaltmakta, sağlık harcamalarında meydana gelen %1’lik bir artış ise doğumda yaşam beklentisini ~%0.04 oranında artırmaktadır. Bu bağlamda doğumda yaşam beklentisini en fazla etkileyen değişkenin doğurganlık oranı, en az etkileyen değişkenin ise PM2.5 hava kirliliği olduğu görülmektedir.

Keywords

Doğumda Yaşam Beklentisi, PM2.5 Hava Kirliliği, Panel Kantil Regresyon Modeli

Life Expectancy at Birth and Environmental Degradation Link in Countries with High Air Pollution

Abstract

The aim of this study is to examine the effects of PM2.5 air pollution, public health expenditures, fertility and mortality rates on life expectancy at birth between 2000-2019 in a total of 32 countries, which are in the categories of countries with hazardous, very unhealthy and unhealthy air pollution in the World Air Quality Report (2021), using a panel quantile regression model. Correlation analysis, multicollinearity, normality tests and Hausman test methodologies are followed in line with the aim. Panel quantile regression analysis is performed for the consecutive 10th-90th quantile range, and the findings are interpreted by estimating with robust standard errors for the case where the heterogeneity assumption is confirmed. In the estimation results with robust standard errors, it is reached that all variables in the model are statistically significant at 1% significance level. According to the results, a 5% increase in PM2.5 air pollution, fertility and mortality rates decreases life expectancy at birth by ~0.02%, ~0.17% and ~0.09%, respectively, while a 1% increase in health expenditures increases life expectancy at birth by ~0.04%. In this context, it is seen that the variable that affects life expectancy at birth the most is the fertility rate, and the variable that affects the least is PM2.5 air pollution.

Keywords

Life Expectancy at Birth, PM2.5 Air Pollution, Panel Quantile Regression Model

References

• Acar, T. ve Topdağ, D. (2022). OECD ülkelerinde sefalet endeksi ve ekonomik kalkınma ekseninde sağlık harcamalarının belirleyicileri: Toplamsal olmayan sabit etkili panel kantil regresyon yaklaşımı. Sosyal Siyaset Konferansları Dergisi, 82, 267-286. https://doi.org/10.26650/jspc.2022.82.946640
• Alharthi, M., Hanif, I. and Alamoudi, H. (2022). Impact of environmental pollution on human health and financial status of households in MENA countries: Future of using renewable energy to eliminate the environmental pollution. Renewable Energy, 190, 338-346. https://doi.org/10.1016/j.renene.2022.03.118
• Bayar, Y., Gavriletea, M.D., Pintea, M.O. and Sechel, I.C. (2021). Impact of environment, life expectancy and real GDP per capita on health expenditures: Evidence from the EU member states. International Journal of Environmental Research and Public Health, 18, 13176. https://doi.org/10.3390/ijerph182413176
• Bilgel, F. and Tran, K.C. (2011). The determinants of Canadian provincial health expenditures: Evidence from a dynamic panel. Applied Economics, 45, 201-212. doi:10.1080/00036846.2011.597726
• Chen, F. and Chen, Z. (2021). Cost of economic growth: Air pollution and health expenditure. Science of the Total Environment, 755, 142543. https://doi.org/10.1016/j.scitotenv.2020.142543
• Cohen, A.J., Brauer, M., Burnett, R., Anderson, H.R., Frostad, J., Estep, K., … Forouzanfar, M.H. (2017). Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: An analysis of data from the global burden of diseases study 2015. Lancet, 389, 1907-1918. doi:10.1016/S0140-6736(17)30505-6
• Etchie, T.O., Etchie, A.T., Adewuyi, G.O., Pillarisetti, A., Sivanesan, S., Krishnamurthi, K. and Arora, N.K. (2018). The gains in life expectancy by ambient PM2.5 pollution reductions in localities in Nigeria. Environmental Pollution, 236, 146-157. https://doi.org/10.1016/j.envpol.2018.01.034
• Galvao, A.F. (2011). Quantile regression for dynamic panel data with fixed effects. Journal of Econometrics, 164(1), 142-157. https://doi.org/10.1016/j.jeconom.2011.02.016
• Gedikli, A., Erdoğan, S., Kırca, M. and Demir, İ. (2019). An analysis of relationship between health expenditures and life expectancy: The case of Turkey and Turkic Republics. Bilig, 91, 27-52. https://doi.org/10.12995/bilig.9102
• Hadei, M., Shahsavani, A., Krzyzanowski, M., Querol, X., Stafoggia, M., Nazari, … Khosravi, A. (2020). Burden of mortality attributed to PM2.5 exposure in cities of Iran; Contribution of short-term pollution peaks. Atmospheric Environment, 224, 117365. https://doi.org/10.1016/j.atmosenv.2020.117365
• HEI. (2022). How does air pollution affect life expectancy around the world? (A State of Global Air Special Report). Retrieved from https://www.healtheffects.org/publications
• Hill, T.D., Jorgenson, A.K., Ore, P., Balistreri, K.S. and Clark, B. (2019). Air quality and life expectancy in the United States: An analysis of the moderating effect of income inequality. SSM - Population Health, 7, 100346. https://doi.org/10.1016/j.ssmph.2018.100346
• Hou, X., Guo, Q., Hong, Y., Yang, Q., Wang, X., Zhou, S. and Liu, H. (2022). Assessment of PM2.5-related health effects: A comparative study using multiple methods and multi-source data in China. Environmental Pollution, 306, 119381. https://doi.org/10.1016/j.envpol.2022.119381
• IQAir. (2021). 2021 World air quality report region & city PM2.5 ranking. Retrieved from https://www.iqair.com/world-air-quality-report
• Jakovljevic, M.B., Vukovic, M. and Fontanesi, J. (2016). Life expectancy and health expenditure evolution in Eastern Europe-DiD and DEA analysis. Expert Review Pharmacoeconomics & Outcomes Research, 16, 537-546. doi:10.1586/14737167.2016.1125293
• Jerrett, M., Eyles, J., Dufournaud, C. and Birch, S. (2003). Environmental influences on healthcare expenditures: An exploratory analysis from Ontario, Canada. Journal of Epidemiology & Community Health, 57, 334-338. doi:10.1136/jech.57.5.334
• Jorgenson, A.K., Thombs, R.P., Clark, B., Givens, J.E., Hill, T.D., Huang, X., … Fitzgerald, J.B. (2021). Inequality amplifies the negative association between life expectancy and air pollution: A cross-national longitudinal study. Science of Total Environment, 758, 143705. https://doi.org/10.1016/j.scitotenv.2020.143705
• Kaya, G. (2021). İnternet kullanımına etki eden faktörlerin analizi: Panel kantil regresyon modeli (Yayımlanmamış yüksek lisans tezi). İstanbul Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
• Khan, H., Khan, I. and Binh, T.T. (2020). The heterogeneity of renewable energy consumption, carbon emission and financial development in the globe: A panel quantile regression approach. Energy Reports, 6, 859-867. https://doi.org/10.1016/j.egyr.2020.04.002
• Kim, S., Xiao, C., Platt, I., Zafari, Z., Bellanger, M. and Muennig, P. (2020). Health and economic consequences of applying the United States’ PM2.5 automobile emission standards to other nations: A case study of France and Italy. Public Health, 183, 81-87. https://doi.org/10.1016/j.puhe.2020.04.024
• Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74-89. https://doi.org/10.1016/j.jmva.2004.05.006
• Koenker, R. and Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33-50. http://dx.doi.org/10.2307/1913643
• Lamarche, C. (2010). Robust penalized quantile regression estimation for panel data. Journal of Econometrics, 157(2), 396-408. https://doi.org/10.1016/j.jeconom.2010.03.042
• Landrigan, P.J., Fuller, R., Hu, H., Caravanos, J., Cropper, M.L., Hanrahan, D. and Suk, W.A. (2018). Pollution and global health-an agenda for prevention. Environmental Health Perspectives, 126(8), 084501. https://doi.org/10.1289/EHP3141
• Linden, M. and Ray, D. (2017). Life expectancy effects of public and private health expenditures in OECD countries 1970-2012: Panel time series approach. Economic Analysis and Policy, 56, 101-113. https://doi.org/10.1016/j.eap.2017.06.005
• Liu, J., Cao, H., Zhang, Y. and Chen, H. (2022). Potential years of life lost due to PM2.5-bound toxic metal exposure: Spatial patterns across 60 cities in China. Science of the Total Environment, 812, 152593. http://dx.doi.org/10.1016/j.scitotenv.2021.152593
• Mahalik, M.K., Le, T.-H., Le, H.-C. and Mallick, H. (2022). How do sources of carbon dioxide emissions affect life expectancy? Insights from 68 developing and emerging economies. World Development Sustainability, 1, 100003. https://doi.org/10.1016/j.wds.2022.100003
• Martins, N.R. and Carrilho da Graça, G. (2020). A simulation study of decreased life expectancy from exposure to ambient particulate air pollution (PM2.5) in naturally ventilated workspaces. Journal of Building Engineering, 30, 101268. https://doi.org/10.1016/j.jobe.2020.101268
• Matthew, O., Osabohien, R., Fasina, F. and Fasina, A. (2018). Greenhouse gas emissions and health outcomes in Nigeria: Empirical insight from auto-regressive distribution lag technique. International Journal of Energy Economics and Policy, 8(3), 43-50. Retrieved from http://www.econjournals.com
• Meng, M.-R., Cao, S.-J., Kumar, P., Tang, X. and Feng, Z. (2021). Spatial distribution characteristics of PM2.5 concentration around residential buildings in urban traffic-intensive areas: From the perspectives of health and safety. Safety Science, 141, 105318. https://doi.org/10.1016/j.ssci.2021.105318
• Mushkin, S.J. (1962). Investment in Human Beings. Journal of Political Economy, 70(5), 129-157. Retrieved from https://www.jstor.org/stable/1829109
• Pautrel, X. (2009). Pollution and life expectancy: How environmental policy can promote growth. Ecological Economics, 68, 1040-1051. doi:10.1016/j.ecolecon.2008.07.011
• Pope III, C.A., Ezzati, M. and Dockery, D.W. (2015). Tradeoffs between income, air pollution and life expectancy: Brief report on the US experience, 1980-2000. Environmental Research, 142, 591-593. http://dx.doi.org/10.1016/j.envres.2015.08.014
• Qi, J., Chen, Q., Ruan, Z., Qian, Z.(M.), Yin, P., Liu, … Lin, H. (2021). Improvement in life expectancy for ischemic heart diseases by achieving daily ambient PM2.5 standards in China. Environmental Research, 193, 110512. https://doi.org/10.1016/j.envres.2020.110512
• Rabbi, A.M.F. (2013). Imbalance in life table: Effect of infant mortality on lower life expectancy at birth. Journal of Scientific Research, 5(3), 479-488. http://dx.doi.org/10.3329/jsr.v5i3.14105
• Rahman, M.M., Rana, R. and Khanam, R. (2022). Determinants of life expectancy in most polluted countries: Exploring the effect of environmental degradation. PLOS ONE, 17(1), e0262802. https://doi.org/10.1371/journal.pone.0262802
• Rodriguez-Alvarez, A. (2021). Air pollution and life expectancy in Europe: Does investment in renewable energy matter? Science of the Total Environment, 792, 148480. https://doi.org/10.1016/j.scitotenv.2021.148480
• Saçaklı Saçıldı, İ. ve Koşan, N.İ. (2015). Panel kantil modeller. S. Güriş (Ed.), Stata ile panel veri modelleri içinde (s. 163-173). İstanbul: Der Yayınları.
• Sang, S., Chu, C., Zhang, T., Chen, H. and Yang, X. (2022). The global burden of disease attributable to ambient fine particulate matter in 204 countries and territories, 1990-2019: A systematic analysis of the global burden of disease study 2019. Ecotoxicology and Environmental Safety, 238, 113588. https://doi.org/10.1016/j.ecoenv.2022.113588
• Sarkodie, S.A., Strezov, V., Jiang, Y. and Evans, T. (2019). Proximate determinants of particulate matter (PM2.5) emission, mortality and life expectancy in Europe, Central Asia, Australia, Canada and the US. Science of the Total Environment, 683, 489-497. https://doi.org/10.1016/j.scitotenv.2019.05.278
• Singh, G.K. and Siahpush, M. (2006). Widening socioeconomic inequalities in US life expectancy, 1980-2000. International Journal of Epidemiology, 35(4), 969-979. https://doi.org/10.1093/ije/dyl083
• State of Global Air. (2022a). Disparities across regions. Retrieved from https://www.stateofglobalair.org/health/life-expectancy#disparities-regions
• State of Global Air. (2022b). Impact of air pollution on life expectancy. Retrieved from https://www.stateofglobalair.org/health/life-expectancy
• State of Global Air. (2022c). Significant impact of air pollution. Retrieved from https://www.stateofglobalair.org/health/life-expectancy#sig-impacts
• Tarín-Carrasco, P., Im, U., Geels, C., Palacios-Peňa, L. and Jiménez-Guerrero, P. (2021). Contribution of fine particulate matter to present and future premature mortality over Europe: A non-linear response. Environment International, 153, 106517. https://doi.org/10.1016/j.envint.2021.106517
• Tarín-Carrasco, P., Morales-Suárez-Varela, M., Im, U., Brandt, J., Palacios-Peňa, L. and Jiménez-Guerrero, P. (2019). Isolating the climate change impacts on air-pollution-related-pathologies over central and southern Europe - A modelling approach on cases and costs. Atmospheric Chemistry and Physics, 19, 9385-9398. https://doi.org/10.5194/acp-19-9385-2019
• The World Bank. (2022). World development indicators [Dataset]. Retrieved from https://databank.worldbank.org/source/world-development-indicators
• Uygur, K. ve Han, V. (2021). Finansal liberalizasyon ve gelir dağılımı ilişkisi: G10 ülkeleri için panel kantil regresyon analizi. Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 5, 11-30. doi:10.33399/biibfad.1029345
• Wang, J., Zhang, L., Niu, X. and Liu, Z. (2020). Effects of PM2.5 on health and economic loss: Evidence from Beijing-Tianjin-Hebei region of China. Journal of Cleaner Production, 257, 120605. https://doi.org/10.1016/j.jclepro.2020.120605
• Wang, Y., Hu, J., Zhu, J., Li, J., Qin, M., Liao, H., Chen, K. and Wang, M. (2021). Health burden and economic impacts attributed to PM2.5 and O3 in China from 2010 to 2050 under different representative concentration pathway scenarios. Resources, Conservation & Recycling, 173, 105731. https://doi.org/10.1016/j.resconrec.2021.105731
• Washington University in St. Louis. (2022). Nüfus ağırlıklı PM2.5 [Dataset]. Retrieved from https://wustl.app.box.com/s/i3tle6m8qg00z9uev2omb0345hh0h2yc
• Wu, Y., Wang, W., Liu, C., Chen, R. and Kan, H. (2020). The association between long-term fine particulate air pollution and life expectancy in China, 2013 to 2017. Science of the Total Environment, 712, 136507. https://doi.org/10.1016/j.scitotenv.2020.136507
• Xie, Y., Dai, H., Zhang, Y., Wu, Y., Hanaoka, T. and Masui, T. (2019). Comparison of health and economic impacts of PM2.5 and ozone pollution in China. Environment International, 130, 104881. https://doi.org/10.1016/j.envint.2019.05.075
• Yang, Y., Qi, J., Ruan, Z., Yin, P., Zhang, S., Liu, J., … Lin, H. (2020). Changes in life expectancy of respiratory diseases from attaining daily PM2.5 standard in China: A nationwide observational study. The Innovation, 1(3), 100064. https://doi.org/10.1016/j.xinn.2020.100064
• Yin, H., Pizzol, M. and Xu, L. (2017). External costs of PM2.5 pollution in Beijing, China: Uncertainty analysis of multiple health impacts and costs. Environmental Pollution, 226, 356-369. https://doi.org/10.1016/j.envpol.2017.02.029
• Yin, P., Brauer, M., Cohen, A.J., Wang, H., Li, J., Burnett, R.T., … Murray, C.J.L. (2020). The effect of air pollution on deaths, disease burden, and life expectancy across China and its provinces, 1990-2017: An analysis for the global burden of disease study 2017. Lancet Planet Health, 4, 386-398. doi:10.1016/S2542-5196(20)30161-3
• Yuan, S., Xu, W. and Liu, Z. (2015). A study on the model for heating influence on PM2.5 emission in Beijing China. Procedia Engineering, 121, 612-620. doi: 10.1016/j.proeng.2015.08.1048