Üst-Orta Gelirli Ülkelerde Çevre Kalitesinin Değerlendirilmesi: Ekonomik Büyümenin, Yenilenebilir Enerjinin ve Teknolojik Gelişimin Etkileri

Year 2026, Volume: 41 Issue: 1, 1 - 24, 06.03.2026

Mohammad Nadimur Rahman , Halil Altıntaş , Kamran Khan

https://doi.org/10.24988/ije.1638979

https://izlik.org/JA43ZT86WM

Abstract

Karbondioksit emisyonları, çevresel hasara birincil katkıda bulunanlardır. Fosil enerji kaynaklarının CO2 emisyonu ürettiği göz önüne alındığında, ekonomik büyümenin çevresel açıdan nispeten sürdürülebilir olmasını sağlamak için alternatif enerji kaynaklarının geliştirilmesi ve teknolojinin ilerlemesi zorunludur. Bu çalışma, çevresel Kuznets eğrisi (EKC) teorisini dikkate alarak ekonomik büyüme ile çevresel bozulma arasındaki karmaşık ilişkileri, 14 yüksek orta gelire sahip ülkeler için 1990-2021 dönemi için ampirik olarak incelemektedir. Ayrıca çalışmada yenilenebilir enerji ve teknolojik gelişmenin kabondioksik salınımını azaltmadaki etkisini de dikkate almaktadır. Araştırma sonuçları, yenilenebilir enerji kaynaklarının çevresel kaliteyi artırarak çevresel sürdürülebilirliği sağlayabileceğini göstermektedir. Uzun dönem tahminlerde elde edilen bulgularda, hem teknolojik gelişmenin hem de yenilenebilir enerji kaynaklarının, seçilen 14 yüksek orta gelirli ülkede çevreyi nispeten kirlenmekten uzak tutarak ekonomik sürdürülebilirliği sağlamada önemli roller oynayabileceğini kanıtlamaktadır.

Keywords

Çevresel Kuznets Eğrisi , CO2 Emisyonları , Ekonomik Büyüme , Yenilenebilir Enerji , Teknolojik Gelişim

Evaluating Environmental Quality in Upper-Middle-Income Countries: The Influence of Economic Growth, Renewable Energy and Technological Advancement

https://izlik.org/JA43ZT86WM

Abstract

Carbon dioxide emissions are the primary contributors to environmental damage. Since fossil fuels are the main sources of CO2 emissions, it is imperative to cultivate alternative energy sources and advance technology to ensure that economic growthremains comparatively environmentally sustainable. This paper empirically analyses the complex relationships between economic growth and environmental degradation, taking into account the environmental Kuznets curve (EKC) theory theory for a panel of 14 upper-middle-income countries over the period 1990-2021. The results show that renewable energy sources can provide environmental sustainability by improving environmental quality. The findings obtained in the long-run estimations prove that both technological development and renewable energy sources can play important roles in ensuring economic sustainability by keeping the environment relatively pollution-free in the 14 selected upper-middle-income countries.

Keywords

Environmental Kuznets Curve , CO2 Emissions , Economic Growth , Renewable Energy , Technological Development

References

• Adams, S., Adedoyin, F., Olaniran, E., & Bekun, F. V. (2020). Energy consumption, economic policy uncertainty and carbon emissions; causality evidence from resource rich economies. Economic Analysis and Policy, 68, 179–190. https://doi.org/10.1016/j.eap.2020.09.012
• Ai, B. Y. J. U. B. (2009). Panel data models with interactive fixed effects. Econometrica, 77(4), 1229–1279. https://doi.org/10.3982/ecta6135
• Allard, A., Takman, J., Uddin, G. S., & Ahmed, A. (2018). The N-shaped environmental Kuznets curve: an empirical evaluation using a panel quantile regression approach. Environmental Science and Pollution Research, 25(6), 5848–5861. https://doi.org/10.1007/s11356-017-0907-0
• Altıntaş, H., & Kassouri, Y. (2020). The impact of energy technology innovations on cleaner energy supply and carbon footprints in Europe: A linear versus nonlinear approach. Journal of Cleaner Production, 276. https://doi.org/10.1016/j.jclepro.2020.124140
• Asongu, S., El Montasser, G., & Toumi, H. (2016). Testing the relationships between energy consumption, CO2 emissions, and economic growth in 24 African countries: a panel ARDL approach. Environmental Science and Pollution Research, 23(7), 6563–6573. https://doi.org/10.1007/s11356-015-5883-7
• Azam, M., & Khan, A. Q. (2016). Testing the Environmental Kuznets Curve hypothesis: A comparative empirical study for low, lower middle, upper middle and high income countries. Renewable and Sustainable Energy Reviews, 63, 556–567. https://doi.org/10.1016/j.rser.2016.05.052
• Bandyopadhyay, A., & Rej, S. (2021). Can nuclear energy fuel an environmentally sustainable economic growth? Revisiting the EKC hypothesis for India. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-021-15220-7
• Barak, D., Kocoglu, M., Jahanger, A., & Tan, M. (2024). Testing the EKC hypothesis for ecological and carbon intensity of well-being: The role of forest extent. Science of the Total Environment, 945(June), 173794. https://doi.org/10.1016/j.scitotenv.2024.173794
• Bersvendsen, T., & Ditzen, J. (2021). Testing for slope heterogeneity in Stata. Stata Journal, 21(1), 51–80. https://doi.org/10.1177/1536867X211000004
• Bilgili, F., Magazzino, C., Çobanoğulları, G., Awan, A., Khan, K., Kuşkaya, S., & Cingöz, A. (2024). How facilitating is defense and health expenditures in achieving low carbon dioxide emissions: an application of quantile regression. International Journal of Environmental Science and Technology, 0123456789. https://doi.org/10.1007/s13762-024-05797-0
• Bilgili, F., Muğaloğlu, E., Kuşkaya, S., Faura, J. C., & Khan, K. (2025). The nexus between the financial development and ­ CO 2 emissions : fresh evidence through time – frequency analyses. Financial Innovation. https://doi.org/10.1186/s40854-024-00713-4
• Bilgili, F., Soykan, E., Dumrul, C., Awan, A., Önderol, S., & Khan, K. (2023). Disaggregating the impact of natural resource rents on environmental sustainability in the MENA region: A quantile regression analysis. Resources Policy, 85(June). https://doi.org/10.1016/j.resourpol.2023.103825
• Caglar, A. E., Daştan, M., Ahmed, Z., Mert, M., & Avci, S. B. (2025). A novel panel of European economies pursuing carbon neutrality: Do current climate technology and renewable energy practices really pass through the prism of sustainable development? Gondwana Research, 139(June 2024), 260–271. https://doi.org/10.1016/j.gr.2025.01.001
• Callaway, B., & Karami, S. (2023). Treatment effects in interactive fixed effects models with a small number of time periods. Journal of Econometrics, 233(1), 184–208. https://doi.org/10.1016/j.jeconom.2022.02.001
• Chen, Q., & Yan, G. (2023). On the two algorithms for estimating interactive fixed effects models in Bai (2009). Economics Letters, 233(September), 111395. https://doi.org/10.1016/j.econlet.2023.111395
• Clarke, L., Eom, J., Marten, E. H., Horowitz, R., Kyle, P., Link, R., Mignone, B. K., Mundra, A., & Zhou, Y. (2018). Effects of long-term climate change on global building energy expenditures. Energy Economics, 72, 667–677. https://doi.org/10.1016/j.eneco.2018.01.003
• Dontoh, E. A., Idun, A. A. A., & Adam, A. M. (2024). Financial outreach, total factor productivity and environmental sustainability in middle-income countries. Environmental Challenges, 15(February), 100888. https://doi.org/10.1016/j.envc.2024.100888
• Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014
• Dunyo, S. K., Odei, S. A., & Chaiwet, W. (2024). Relationship between CO2 emissions, technological innovation, and energy intensity: Moderating effects of economic and political uncertainty. Journal of Cleaner Production, 440(November 2023), 140904. https://doi.org/10.1016/j.jclepro.2024.140904
• Ehigiamusoe, K. U., Lean, H. H., & Smyth, R. (2020). The moderating role of energy consumption in the carbon emissions-income nexus in middle-income countries. Applied Energy, 261(December 2019), 114215. https://doi.org/10.1016/j.apenergy.2019.114215
• Eisenmenger, N., Pichler, M., Krenmayr, N., Noll, D., Plank, B., Schalmann, E., Wandl, M. T., & Gingrich, S. (2020). The Sustainable Development Goals prioritize economic growth over sustainable resource use: a critical reflection on the SDGs from a socio-ecological perspective. Sustainability Science, 15(4), 1101–1110. https://doi.org/10.1007/s11625-020-00813-x
• Emodi, N. V., Chaiechi, T., & Alam Beg, A. B. M. R. (2018). The impact of climate change on electricity demand in Australia. Energy and Environment, 29(7), 1263–1297. https://doi.org/10.1177/0958305X18776538
• Feng, Y., Sabir, S. A., Quddus, A., Wang, J., & Abbas, S. (2024). Do the grey clouds of geopolitical risk and political globalization exacerbate environmental degradation? Evidence from resource-rich countries. Resources Policy, 89(November 2023), 104533. https://doi.org/10.1016/j.resourpol.2023.104533
• Grossman, G. M., & Krueger, A. B. (1991). Environmental impacts of a North American free trade agreement. NBER, Paper No.3914.
• Guo, X., & Shahbaz, M. (2024). The existence of environmental Kuznets curve: Critical look and future implications for environmental management. Journal of Environmental Management, 351(October 2023), 119648. https://doi.org/10.1016/j.jenvman.2023.119648
• Hongxing, Y., Abban, O. J., Boadi, A. D., & Ankomah-Asare, E. T. (2021). Exploring the relationship between economic growth, energy consumption, urbanization, trade, and CO2 emissions: a PMG-ARDL panel data analysis on regional classification along 81 BRI economies. Environmental Science and Pollution Research, 28(46), 66366–66388. https://doi.org/10.1007/s11356-021-15660-1
• Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7
• Isik, C., Ongan, S., & Özdemir, D. (2019). The economic growth/development and environmental degradation: evidence from the US state-level EKC hypothesis. Environmental Science and Pollution Research, 26(30), 30772–30781. https://doi.org/10.1007/s11356-019-06276-7
• Jalil, A., & Feridun, M. (2011). The impact of growth, energy and financial development on the environment in China: A cointegration analysis. Energy Economics, 33(2), 284–291. https://doi.org/10.1016/j.eneco.2010.10.003
• Jin, S., Lu, X., & Su, L. (2025). Three-dimensional heterogeneous panel data models with multi-level interactive fixed effects. Journal of Econometrics, 249(PB), 105957. https://doi.org/10.1016/j.jeconom.2025.105957
• Kaika, D., & Zervas, E. (2013). The Environmental Kuznets Curve (EKC) theory-Part A: Concept, causes and the CO2 emissions case. Energy Policy, 62, 1392–1402. https://doi.org/10.1016/j.enpol.2013.07.131
• Kartal, M. T., Kılıç Depren, S., Ayhan, F., & Depren, Ö. (2022). Impact of renewable and fossil fuel energy consumption on environmental degradation: evidence from USA by nonlinear approaches. International Journal of Sustainable Development and World Ecology, 29(8), 738–755. https://doi.org/10.1080/13504509.2022.2087115
• Ke, S., Phillips, P. C. B., & Su, L. (2024). Robust inference of panel data models with interactive fixed effects under long memory: A frequency domain approach. Journal of Econometrics, 241(2), 105761. https://doi.org/10.1016/j.jeconom.2024.105761
• Khandker, S. R., Samad, H. A., Ali, R., & Barnes, D. F. (2014). Who benefits most from rural electrification? Evidence in India. Energy Journal, 35(2), 75–96. https://doi.org/10.5547/01956574.35.2.4
• Kneip, A., Sickles, R. C., & Song, W. (2012). A new panel data treatment for heterogeneity in time trends. Econometric Theory, 28(3), 590–628. https://doi.org/10.1017/S026646661100034X
• Koçak, E., Önderol, S., & Khan, K. (2021). Structural change, modernization, total factor productivity, and natural resources sustainability: An assessment with quantile and non-quantile estimators. Resources Policy, 74(May). https://doi.org/10.1016/j.resourpol.2021.102433
• Kong, Y. S., & Khan, R. (2019). To examine environmental pollution by economic growth and their impact in an environmental Kuznets curve (EKC) among developed and developing countries. PLoS ONE, 14(3), 1–23. https://doi.org/10.1371/journal.pone.0209532
• Kostakis, I., Armaos, S., Abeliotis, K., & Theodoropoulou, E. (2023). The investigation of EKC within CO2 emissions framework: Empirical evidence from selected cross-correlated countries. Sustainability Analytics and Modeling, 3(January), 100015. https://doi.org/10.1016/j.samod.2023.100015
• Kuşkaya, S., Bilgili, F., Muğaloğlu, E., Khan, K., Hoque, M. E., & Toguç, N. (2023). The role of solar energy usage in environmental sustainability: Fresh evidence through time-frequency analyses. Renewable Energy, 206(November 2022), 858–871. https://doi.org/10.1016/j.renene.2023.02.063
• Kwilinski, A., Lyulyov, O., & Pimonenko, T. (2024). Reducing transport sector CO2 emissions patterns: Environmental technologies and renewable energy. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100217. https://doi.org/10.1016/j.joitmc.2024.100217
• Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24. https://doi.org/10.1016/S0304-4076(01)00098-7
• Ma, F., Saleem, H., Ding, X., Nazir, S., & Tariq, S. (2024). Do natural resource rents, green technological innovation, and renewable energy matter for ecological sustainability? Role of green policies in testing the environmental kuznets curve hypothesis. Resources Policy, 91(December 2023), 104844. https://doi.org/10.1016/j.resourpol.2024.104844
• Magazzino, C. (2017). The relationship among economic growth, CO2 emissions, and energy use in the APEC countries: a panel VAR approach. Environment Systems and Decisions, 37(3), 353–366. https://doi.org/10.1007/s10669-017-9626-9
• Magazzino, C., Mele, M., Drago, C., Kuşkaya, S., Pozzi, C., & Monarca, U. (2023). The trilemma among CO2 emissions, energy use, and economic growth in Russia. Scientific Reports, 13(1), 1–18. https://doi.org/10.1038/s41598-023-37251-5
• Mahalik, M. K., Mallick, H., & Padhan, H. (2021). Do educational levels influence the environmental quality? The role of renewable and non-renewable energy demand in selected BRICS countries with a new policy perspective. Renewable Energy, 164, 419–432. https://doi.org/10.1016/j.renene.2020.09.090
• Mensah, I. A., Sun, M., Gao, C., Omari-Sasu, A. Y., Zhu, D., Ampimah, B. C., & Quarcoo, A. (2019). Analysis on the nexus of economic growth, fossil fuel energy consumption, CO2 emissions and oil price in Africa based on a PMG panel ARDL approach. Journal of Cleaner Production, 228, 161–174. https://doi.org/10.1016/j.jclepro.2019.04.281
• Mirziyoyeva, Z., & Salahodjaev, R. (2023). Renewable energy, GDP and CO2 emissions in high-globalized countries. Frontiers in Energy Research, 11(July), 1–8. https://doi.org/10.3389/fenrg.2023.1123269
• Naimoglu, M., & Akal, M. (2023). The relationship between energy technology, energy efficiency, renewable energy, and the environment in Türkiye. Journal of Cleaner Production, 418(May). https://doi.org/10.1016/j.jclepro.2023.138144
• Naseem, S., Hu, X., Sarfraz, M., & Mohsin, M. (2024). Strategic assessment of energy resources, economic growth, and CO2 emissions in G-20 countries for a sustainable future. Energy Strategy Reviews, 52(October 2023), 101301. https://doi.org/10.1016/j.esr.2024.101301
• Ogola, P. F. A., Davidsdottir, B., & Fridleifsson, I. B. (2012). Potential contribution of geothermal energy to climate change adaptation: A case study of the arid and semi-arid eastern Baringo lowlands, Kenya. Renewable and Sustainable Energy Reviews, 16(6), 4222–4246. https://doi.org/10.1016/j.rser.2012.01.081
• Oryani, B., Moridian, A., Han, C. S., Rezania, S., Kasyoka, K. K., Darajeh, N., Ghahroud, M. L., & Shahzad, U. (2022). Modeling the environmental impact of energy poverty in South Korea: Do environment-related technologies matter? Fuel, 329(July), 125394. https://doi.org/10.1016/j.fuel.2022.125394
• Ozturk, I. (2010). A literature survey on energy-growth nexus. Energy Policy, 38(1), 340–349. https://doi.org/10.1016/j.enpol.2009.09.024
• Perone, G. (2024). The relationship between renewable energy production and CO2 emissions in 27 OECD countries: A panel cointegration and Granger non-causality approach. Journal of Cleaner Production, 434(November 2023), 139655. https://doi.org/10.1016/j.jclepro.2023.139655
• Pesaran, M. H. (2007). J of Applied Econometrics - 2007 - Pesaran - A simple panel unit root test in the presence of cross‐section dependence.pdf. Journal of Applied Econometrics (pp. 265–312).
• Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60(1), 13–50. https://doi.org/10.1007/s00181-020-01875-7
• Pesaran, M.H., Shin, Y., Smith, R. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American statistical Association, 94 (446), 621–634. https://doi.org/10.1080/01621459.1999.10474156
• Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
• Pesaran, M.H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68 (1), 79–113. https://doi.org/10.1016/0304-4076(94)01644-F
• Pesaran, M. H., & Smith, R. (1995). The role of theory in econometrics. Journal of Econometrics, 67(1), 61–79. https://doi.org/10.1016/0304-4076(94)01627-C
• Phillips, P. C. B., & Hansen, B. E. (1990). Statistical inference in instrumental variables regression with i(1) processes. Review of Economic Studies, 57(1), 99–125. https://doi.org/10.2307/2297545
• Phillips, P. C. B., & Moon, H. R. (1999). Linear regression limit theory for nonstationary panel data. Econometrica, 67(5), 1057–1111. https://doi.org/10.1111/1468-0262.00070
• Ridwan, M., Urbee, A. J., Voumik, L. C., Das, M. K., Rashid, M., & Esquivias, M. A. (2024). Investigating the environmental Kuznets curve hypothesis with urbanization, industrialization, and service sector for six South Asian Countries: Fresh evidence from Driscoll Kraay standard error. Research in Globalization, 8(December 2023), 100223. https://doi.org/10.1016/j.resglo.2024.100223
• Saba, C. S. (2023). Nexus between CO2 emissions, renewable energy consumption, militarisation, and economic growth in South Africa: Evidence from using novel dynamic ARDL simulations. Renewable Energy, 205(January), 349–365. https://doi.org/10.1016/j.renene.2023.01.070
• Shahbaz, M., Sbia, R., Hamdi, H., & Ozturk, I. (2014). Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates. Ecological Indicators, 45, 622–631. https://doi.org/10.1016/j.ecolind.2014.05.022
• Shahzad, U., Schneider, N., & Ben Jebli, M. (2021). How coal and geothermal energies interact with industrial development and carbon emissions? An autoregressive distributed lags approach to the Philippines. Resources Policy, 74(March), 102342. https://doi.org/10.1016/j.resourpol.2021.102342
• Shin Y., Yu B., Greenwood-Nimmo M. (2014) Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework in Festschrift in Honor of Peter Schmidt Econometric Methods and Applications ed. Sickles R.C, Horrace W.C. https://doi.org/10.1007/978-1-4899-8008-3_9
• Shouwu, J., Xu, T., Shehzad, K., Zaman, B. U., & Wuyue, L. (2024). The role of environmental technologies and clean energy transition in shaping the N-shaped environmental Kuznets curve: A North African perspective. Environmental Technology and Innovation, 33(November 2023), 103463. https://doi.org/10.1016/j.eti.2023.103463
• Sikder, M., Wang, C., Yao, X., Huai, X., Wu, L., KwameYeboah, F., Wood, J., Zhao, Y., & Dou, X. (2022). The integrated impact of GDP growth, industrialization, energy use, and urbanization on CO2 emissions in developing countries: Evidence from the panel ARDL approach. Science of the Total Environment, 837(May), 155795. https://doi.org/10.1016/j.scitotenv.2022.155795
• Suki, N. M., Suki, N. M., Sharif, A., Afshan, S., & Jermsittiparsert, K. (2022). The role of technology innovation and renewable energy in reducing environmental degradation in Malaysia: A step towards sustainable environment. Renewable Energy, 182, 245–253. https://doi.org/10.1016/j.renene.2021.10.007
• Tenaw, D., & Beyene, A. D. (2021). Environmental sustainability and economic development in sub-Saharan Africa: A modified EKC hypothesis. Renewable and Sustainable Energy Reviews, 143(October 2020), 110897. https://doi.org/10.1016/j.rser.2021.110897
• Umar, M., Ji, X., Kirikkaleli, D., & Alola, A. A. (2021). The imperativeness of environmental quality in the United States transportation sector amidst biomass-fossil energy consumption and growth. Journal of Cleaner Production, 285, 124863. https://doi.org/10.1016/j.jclepro.2020.124863
• Wang, Q., Wang, X., Liu, Y., & Li, R. (2021). Urbanization and water consumption at national- and subnational-scale: The roles of structural changes in economy, population, and resources. Sustainable Cities and Society, 75(March), 103272. https://doi.org/10.1016/j.scs.2021.103272
• Xu, D., Sheraz, M., Hassan, A., Sinha, A., & Ullah, S. (2022). Financial development, renewable energy and CO2 emission in G7 countries: New evidence from non-linear and asymmetric analysis. Energy Economics, 109(April 2021), 105994. https://doi.org/10.1016/j.eneco.2022.105994
• You, W., Zhang, Y., & Lee, C. C. (2022). The dynamic impact of economic growth and economic complexity on CO2 emissions: An advanced panel data estimation. Economic Analysis and Policy, 73(19), 112–128. https://doi.org/10.1016/j.eap.2021.11.004
• Zakaria, M., & Bibi, S. (2019). Financial development and environment in South Asia: the role of institutional quality. Environmental Science and Pollution Research, 26(8), 7926–7937. https://doi.org/10.1007/s11356-019-04284-1
• Zaman, K., & Moemen, M. A. el. (2017). Energy consumption, carbon dioxide emissions and economic development: Evaluating alternative and plausible environmental hypothesis for sustainable growth. Renewable and Sustainable Energy Reviews, 74(November 2015), 1119–1130. https://doi.org/10.1016/j.rser.2017.02.072
• Zhang, R., & Ben Naceur, S. (2019). Financial development, inequality, and poverty: Some international evidence. International Review of Economics and Finance, 61(November 2018), 1–16. https://doi.org/10.1016/j.iref.2018.12.015
• Zoundi, Z. (2017). CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach. Renewable and Sustainable Energy Reviews, 72(July 2016), 1067–1075. https://doi.org/10.1016/j.rser.2016.10.018