Socio-economic determinants of environmental degradation: empirical evidence for the environmental Kuznets Curve

Authors

DOI:

https://doi.org/10.18559/ebr.2023.3.797

Keywords:

quantile regression, panel data, EKC, economic development, environmental degredation

Abstract

The aim of the paper is to examine socio-economic determinants of environmental degradation. The empirical study employs quantile regression which enables separate predictions for different levels of the dependent variable to be made. This study investigated 62 countries from low, middle and some high income countries for 1995-2019. The Environmental Kuznets Curve (EKC) is verified for the aforemented countries in analyzing the relationship between economic growth and carbon emissions using quantile regression. The study also revealed that the schooling rate has a pollution-increasing effect. In addition to the reducing effects of trade openness, democracy, and economic freedom variables on environmental degradation, the opposite effect of life expectancy at birth is observed, increasing environmental degradation. In this context,  this paper concluded that the EKC hypothesis is not supported. The government should encourage pollution-reducing policies in low and middle income countries.

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References

AlKhars, A. M., Alwahaishi, S., Fallatah. M. R., & Kayal, A. (2022). A literature review of the Environmental Kuznets Curve in GCC for 2010–2020. Environmental and Sustainability Indicators, 14, 100181. DOI: https://doi.org/10.1016/j.indic.2022.100181
View in Google Scholar

Alkhateeb, T. T., Mahmood, H., Altamimi, N. N., & Furqan, M. (2020). Role of education and economic growth on the CO2 emissions in Saudi Arabia. Entrepreneurship and Sustainability Issues, 8(2), 195–209. DOI: https://doi.org/10.9770/jesi.2020.8.2(12)
View in Google Scholar

Alshehry, A. S., & Belloumi, M. (2016). Energy consumption, carbon dioxide emissions and economic growth: The case of Saudi Arabia. Renewable and Sustainable Energy Reviews, 41, 237–247. DOI: https://doi.org/10.1016/j.rser.2014.08.004
View in Google Scholar

Anwar, A., Siddique, M., Dogan, E., & Sharif, A. (2021). The moderating role of renewable and non-renewable energy in environment-income nexus for ASEAN countries: Evidence from method of moments quantile regression. Renewable Energy, 164, 956–967. DOI: https://doi.org/10.1016/j.renene.2020.09.128
View in Google Scholar

Anwar, A., Sinha, A., Sharif, A., Siddique, M., Irshad, S., Anwar, W., & Malik, S. (2021). The nexus between urbanization, renewable energy consumption, financial development, and CO2 emissions: Evidence from selected Asian countries. Environment, Development and Sustainability, 24(5), 6556–6576. DOI: https://doi.org/10.1007/s10668-021-01716-2
View in Google Scholar

Awan, A., Kocoglu, M., Banday, T. P., & Tarazkar, M. H. (2022). Revisiting global energy efficiency and CO2 emission nexus: Fresh evidence from the panel quantile regression model. Environmental Science and Pollution Research, 29, 47502–47515. DOI: https://doi.org/10.1007/s11356-022-19101-5
View in Google Scholar

Aye, G. C. (2020). Wealth inequality and CO2 emissions in emerging countries: The case of BRICS. SA-TIED Working Paper, 153. DOI: https://doi.org/10.35188/UNU-WIDER/2020/918-1
View in Google Scholar

Aytun, C., & Akın, C. S. (2021). Can education lower the environmental degradation? Bootstrap panel Granger causality analysis for emerging countries. Environment, Development and Sustainability, 24, 10666–10694. https://doi.org/10.1007/s10668-021-01877-0 DOI: https://doi.org/10.1007/s10668-021-01877-0
View in Google Scholar

Azomahou, T., Laisney, F., & Van, P. N. (2006). Economic development and CO2 emissions: A nonparametric panel approach. Journal of Public Economics, 90(6–7), 1347–1363. DOI: https://doi.org/10.1016/j.jpubeco.2005.09.005
View in Google Scholar

Bucak, Ç. (2022). Ekonomik özgürlük endeksi, insani gelişme endeksi ve ekolojik ayak izi: E7 ülkeleri için ampirik bir analiz. Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 12(23), 141–158. https://doi.org/10.53092/duiibfd.992572 DOI: https://doi.org/10.53092/duiibfd.992572
View in Google Scholar

Buks, A. G., & Sobański, K. (2023). Divest or engage? Effective paths to net zero from the US perspective. Economics and Business Review, 9(1), 65–93. DOI: https://doi.org/10.18559/ebr.2023.1.3
View in Google Scholar

Bunnag, T. (2023). Analyzing short-run and long-run causality relationship among CO2 emission, energy consumption, GDP, square of GDP, and foreign direct investment in Environmental Kuznets Curve for Thailand. International Journal of Energy Economics and Policy, 13(2), 341–348. DOI: https://doi.org/10.32479/ijeep.14088
View in Google Scholar

Bui, Q., Wang, Z., Zhang, B., Le, P. H., & Vu, K. D. (2021). Revisiting the biomass energy-economic growth linkage of BRICS countries: A panel quantile regression with fixed effects approach. Journal of Cleaner Production, 316, 128382. DOI: https://doi.org/10.1016/j.jclepro.2021.128382
View in Google Scholar

Busse, M., & Hefeker, C. (2007). Political risk, institutions and foreign direct investment. European Journal of Political Economy, 23(2), 397–415. DOI: https://doi.org/10.1016/j.ejpoleco.2006.02.003
View in Google Scholar

Carlsson, F., & Lundström, S. (2001, August). Political and economic freedom and the environment: The case of CO2 emissions. Working Papers in Economics, 29. Department of Economics, Göteborg University.
View in Google Scholar

Chen, W., & Lei, Y. (2018). The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression. Renewable Energy, 123, 1–14. DOI: https://doi.org/10.1016/j.renene.2018.02.026
View in Google Scholar

Choi, I. (2006). Nonstationary panels. In: K. Patterson, T. C. Mills (Eds.), Palgrave handbooks of econometrics (vol. 1, pp. 511–539). Palgrave Macmillan.
View in Google Scholar

Dinda, S. (2004). Environmental Kuznets Curve hypothesis: A survey. Ecological Economics, 49, 431–455. DOI: https://doi.org/10.1016/j.ecolecon.2004.02.011
View in Google Scholar

Eren, M. (2022). Different impacts of democracy and income on carbon dioxide emissions: Evidence from a panel quantile regression approach. Environmental Science and Pollution Research, 29, 71439–71459. https://doi.org/10.1007/s11356-022-20805-x DOI: https://doi.org/10.1007/s11356-022-20805-x
View in Google Scholar

Eyuboğlu, K., & Uzar, U. (2021). A new perspective to environmental degradation: The linkages between higher education and CO2 emissions. Environmental Science and Pollution Research, 28, 482–493. DOI: https://doi.org/10.1007/s11356-020-09414-8
View in Google Scholar

Fitzgerald, J. A., Jorgenson, A. K., & Clark, B. (2015). Energy consumption and working hours: A longitudinal study of developed and developing nations, 1990–2008. Environmental Sociology, 1(3), 213–23. https://doi.org/10.1080/23251042.2015.1046584 DOI: https://doi.org/10.1080/23251042.2015.1046584
View in Google Scholar

Fodha, M., & Zaghdoud, O. (2010). Economic growth and pollution emissions in Tunisia: An empirical analysis of the Environmental Kuznets Curve. Energy Policy, 38, 1150–1156. DOI: https://doi.org/10.1016/j.enpol.2009.11.002
View in Google Scholar

Fotourehchi, Z. (2017). Income inequality and environmental degradation: Challenge in the equality hypothesis with emphasis on education level. Journal of Environmental Education and Sustainable Development, 5(4), 77–84.
View in Google Scholar

Genç, M. C., Ekinci, A., & Sakarya, B. (2021). The impact of output volatility on CO2 emissions in Turkey: Testing EKC hypothesis with Fourier stationarity test. Environmental Science and Pollution Research, 29(2), 3008–3021. DOI: https://doi.org/10.1007/s11356-021-15448-3
View in Google Scholar

Grossman, G. M., & Krueger, A. B. (1991). Environmental impacts of a North American free trade agreement. NBER Working Paper, 3914. DOI: https://doi.org/10.3386/w3914
View in Google Scholar

Gulistan, A., Tariq, Y. B., & Bashir, M. F. (2020). Dynamic relationship among economic growth, energy, trade openness, tourism, and environmental degradation: Fresh global evidence. Environmental Science and Pollution Research, 27(12), 13477– 13487. DOI: https://doi.org/10.1007/s11356-020-07875-5
View in Google Scholar

Harbaugh, W., Levinson, A., & Wilson, D. M. (2002). Re-examining the empirical evidence for an Environmental Kuznets Curve. Review of Economics and Statistics, 84(3), 541–551. DOI: https://doi.org/10.1162/003465302320259538
View in Google Scholar

Hassan, S. T., Batool, B., Zhu, B., & Khan, I. (2022). Environmental complexity of globalization, education, and income inequalities: New insights of energy poverty. Journal of Cleaner Production, 340, 130735. DOI: https://doi.org/10.1016/j.jclepro.2022.130735
View in Google Scholar

Hassan, S. A., Zaman, K., & Gul, S. (2015). The relationship between growth-inequality-poverty triangle and environmental degradation: Unveiling the reality. Arab Economics and Business Journal, 10, 57–71. DOI: https://doi.org/10.1016/j.aebj.2014.05.007
View in Google Scholar

Holtz-Eakin, D., & Selden, T. (1995). Stoking the fires? CO2 emissions and economic growth. Journal of Public Economics, 57(1), 85–101. DOI: https://doi.org/10.1016/0047-2727(94)01449-X
View in Google Scholar

IEA (2021). Global annual average change in energy production by fuel, 1971–2019. Paris. https://www.iea.org/data-and-statistics/charts/global-annual-average-change-in-energy-production-by-fuel-1971-2019
View in Google Scholar

Kennedy, P. (1992). A guide to econometrics. Blackwell.
View in Google Scholar

Khan, M. (2020). CO2 emissions and sustainable economic development: New evidence on the role of human capital. Sustainable Development, 28, 1279–1288. DOI: https://doi.org/10.1002/sd.2083
View in Google Scholar

Knight, K., Rosa, E., & Schor, J. (2013). Could working less reduce pressures on the environment? A cross-national panel analysis of OECD countries, 1970–2007. Global Environmental Change, 23(4), 691–700. DOI: https://doi.org/10.1016/j.gloenvcha.2013.02.017
View in Google Scholar

Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33–50. https://doi.org/10.2307/1913643 DOI: https://doi.org/10.2307/1913643
View in Google Scholar

Koenker, R., & Hallock, K. F.(2001). Quantile regression. Journal of Economic Perspectives, 15(4), 143–156. DOI: https://doi.org/10.1257/jep.15.4.143
View in Google Scholar

Kuznets, S. (1955). Economic growth and income inequality. American Economic Review, 45, 1–28.
View in Google Scholar

Le, T. H., Chang, Y, & Park, D. (2016). Trade openness and environmental quality: International evidence. Energy Policy, 92, 45–55. DOI: https://doi.org/10.1016/j.enpol.2016.01.030
View in Google Scholar

Li, Q., & Reuveny, R. (2006). Democracy and environmental degradation. International Studies Quarterly, 50(4), 935–956. https://doi.org/10.1111/j.1468-2478.2006.00432.x DOI: https://doi.org/10.1111/j.1468-2478.2006.00432.x
View in Google Scholar

Mak Arvin, B., & Lew, B. (2011). Does democracy affect environmental quality in developing countries? Applied Economics, 43(9), 1151–1160. DOI: https://doi.org/10.1080/00036840802600277
View in Google Scholar

Marquardt, D. W. (1970). Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation. Technometrics, (12), 591–256. DOI: https://doi.org/10.2307/1267205
View in Google Scholar

Mason, R. L., Gunst, R. F., & Hess, J. L. (1989). Statistical design and analysis of experiments: Applications to engineering and science (6th ed.). John Wiley & Sons.
View in Google Scholar

McPherson, M. A., & Nieswiadomy, M. L. (2005). Environmental Kuznets Curve: Threatened species and spatial effects. Ecological Economics, 55(3), 395–407. DOI: https://doi.org/10.1016/j.ecolecon.2004.12.004
View in Google Scholar

Menard, S. (1995). Applied logistic regression analysis. Sage.
View in Google Scholar

Moon, H. R., & Perron, B. (2004). Testing for a unit root in panels with dynamic factors. Journal of Econometrics, 122(1), 81–126. DOI: https://doi.org/10.1016/j.jeconom.2003.10.020
View in Google Scholar

Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41, 673–690. https://doi.org/10.1007/s11135-006-9018-6 DOI: https://doi.org/10.1007/s11135-006-9018-6
View in Google Scholar

Odugbesan, J. A., Rjoub, H., & Ifediora, C. U. (2021). Do financial regulations matters for sustainable green economy: Evidence from Turkey. Environmental Science and Pollution Research, 28, 56642–56657. DOI: https://doi.org/10.1007/s11356-021-14645-4
View in Google Scholar

Ojaghlou, M., Ugurlu, E., Kadłubek, M., & Thalassinos, E. (2023). Economic activities and management issues for the environment: An Environmental Kuznets Curve (EKC) and STIRPAT analysis in Turkey. Resources, 12(5), 57. DOI: https://doi.org/10.3390/resources12050057
View in Google Scholar

Neill, B. C., Jiang, L., Samir, K. C., Fuchs, R., Pachauri, S., Laidlaw, E. K., Zhang, T., Zhou, W., & Ren, X. (2020). The effect of education on determinants of climate change risks. Nature Sustainability, 3, 520–528. DOI: https://doi.org/10.1038/s41893-020-0512-y
View in Google Scholar

Ozturk, I., & Acaravci, A. (2010). CO2 emissions, energy consumption and economic growth in Turkey. Renewable and Sustainable Energy Reviews, 14(9), 3220–3225. DOI: https://doi.org/10.1016/j.rser.2010.07.005
View in Google Scholar

Pal, D., & Mitra, S. K. (2017). The Environmental Kuznets Curve for carbon dioxide in India and China: Growth and pollution at crossroad. Journal of Policy Modeling, 39(2), 371–385. DOI: https://doi.org/10.1016/j.jpolmod.2017.03.005
View in Google Scholar

Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. DOI: https://doi.org/10.1002/jae.951
View in Google Scholar

Pesaran, M. H. (2020). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60(1), 13–50. https://doi.org/10.1007/s00181-020-01875-7 DOI: https://doi.org/10.1007/s00181-020-01875-7
View in Google Scholar

Prasetyanto, P. K., & Sari, F. (2021). Environmental Kuznets Curve: Economic growth with environmental degradation in Indonesia. International Journal of Energy Economics and Policy, 11(5), 622–628. DOI: https://doi.org/10.32479/ijeep.11609
View in Google Scholar

Rasli, A. M., Qureshi, M. I, Isah-Chikaji, A., Zaman, K., & Ahmad. M. (2018). New toxics, race to the bottom and revised Environmental Kuznets Curve: The case of local and global pollutants. Renewable and Sustainable Energy Reviews, 81, 3120–3130. DOI: https://doi.org/10.1016/j.rser.2017.08.092
View in Google Scholar

Romuald, S. K. (2010). Does education really matter for environmental quality? Economics Bulletin, 30(4), 2612–2626.
View in Google Scholar

Scheidt, N. (2019). Education and CO2 emissions through the macroeconomic lens: Assessing the relationship in developing countries from 1996 to 2014. Master Thesis: Lund University.
View in Google Scholar

Schor, J. (1998). The overspent American: Upscaling, downshifting, and the new consumer. Basic Books.
View in Google Scholar

Shafik, N., & Bandyopadhyay, S. (1992). Economic growth and environmental quality: Time series and cross-country evidence. The World Bank Washington DC Background Paper for the World Development Report.
View in Google Scholar

Shahbaz, M., Khraief, N., Uddin, G. S., & Ozturk, I. (2014). Environmental Kuznets Curve in an open economy: A bounds testing and causality analysis for Tunisia. Renewable and Sustainable Energy Reviews, 34, 325–336. DOI: https://doi.org/10.1016/j.rser.2014.03.022
View in Google Scholar

Sini, S., Abdul-Rahim, A. S., Chin, L., Said, R., & Sulaiman, C. (2022). Natural resources impact on capital flow and conflict relationship in Africa: A novel insight from GMM and quantile regression. Resources Policy, 78, 102791. https://doi.org/10.1016/j.resourpol.2022.102791 DOI: https://doi.org/10.1016/j.resourpol.2022.102791
View in Google Scholar

Stern, D. I. (2004). The rise and fall of the Environmental Kuznets Curve. World Development, 32(8), 1419–1439. https://doi.org/10.1016/j.worlddev.2004.03.004 DOI: https://doi.org/10.1016/j.worlddev.2004.03.004
View in Google Scholar

Sun, Y., Anwar, A., Razzaq, A., Liang, X., & Siddique, M. (2022). Asymmetric role of renewable energy, green innovation, and globalization in deriving environmental sustainability: Evidence from top-10 polluted countries. Renewable Energy, 185, 280–290. DOI: https://doi.org/10.1016/j.renene.2021.12.038
View in Google Scholar

Syed, Q. R., Bhowmik, R., Adedoyin, F. F., Alola, A. A., & Khalid, N. (2022). Do economic policy uncertainty and geopolitical risk surge CO2 emissions? New insights from panel quantile regression approach. Environmental Science and Pollution Research, 29, 27845–27861. DOI: https://doi.org/10.1007/s11356-021-17707-9
View in Google Scholar

Terrell, T. D. (2020). Carbon flux and N- and M-shaped Environmental Kuznets Curves: Evidence from international land use change. Journal of Environmental Economics and Policy, 10(6), 1–20. DOI: https://doi.org/10.1080/21606544.2020.1809527
View in Google Scholar

Veblen, T. (1934). Theory of the leisure class. Modern Library.
View in Google Scholar

Voumik, L. C., Nafi, S. M., Bekun, F. V., & Haseki, M. İ. (2023). Modeling energy, education, trade, and tourism-induced Environmental Kuznets Curve (EKC) hypothesis: Evidence from the Middle East. Sustainability, 15(6), 4919. https://doi.org/10.3390/su15064919 DOI: https://doi.org/10.3390/su15064919
View in Google Scholar

World Bank. (2021). Total greenhouse gas emissions. https://data.worldbank.org/in-dicator/EN.ATM.GHGT.KT.CE
View in Google Scholar

Wu, D., Lin, J. C., Fasoli, B., Oda, T., Ye, X., Lauvaux, T., Yang, E. A., & Kort, E. A. (2018). A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X‐Stochastic Time‐Inverted Lagrangian Transport model (“X‐STILT v1”). Geoscientific Model Development, 11(12), 4843–4871. DOI: https://doi.org/10.5194/gmd-11-4843-2018
View in Google Scholar

Yin, Z., Jiang, X., Lin, S., & Liu, J. (2022). The impact of online education on carbon emissions in the context of the COVID-19 pandemic: Taking Chinese universities as examples. Applied Energy, 314, 118875. DOI: https://doi.org/10.1016/j.apenergy.2022.118875
View in Google Scholar

Zafar, M. W., Saleem, M. M., Destek, M. A, & Caglar, A. E. (2022). The dynamic linkage between remittances, export diversification, education, renewable energy consumption, economic growth, and CO2 emissions in top remittance-receiving countries. Sustainable Development, 30, 165–175. DOI: https://doi.org/10.1002/sd.2236
View in Google Scholar

Zhu, T. T., Peng, H. R., Zhang, Y. J., & Liu, J. Y. (2021). Does higher education development facilitate carbon emissions reduction in China? Applied Economics, 53(47), 5490–5502. DOI: https://doi.org/10.1080/00036846.2021.1923641
View in Google Scholar

Zhu, H., Duan, L., Guo, Y., & Yu, K. (2016). The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression. Economic Modelling, 58, 237–248. DOI: https://doi.org/10.1016/j.econmod.2016.05.003
View in Google Scholar

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2023-08-28 — Updated on 2023-10-12

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Gültekin, Ömer F., Sayar, R., & Ari, Y. O. (2023). Socio-economic determinants of environmental degradation: empirical evidence for the environmental Kuznets Curve . Economics and Business Review, 9(3). https://doi.org/10.18559/ebr.2023.3.797 (Original work published 2023)

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