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Yıl 2025, Cilt: 75 Sayı: 2, 453 - 474, 15.01.2026
https://doi.org/10.26650/ISTJECON2025-1711129
https://izlik.org/JA44FZ45KJ

Öz

Kaynakça

  • Adebayo, T. S., Özkan, O., Uzun Ozsahin, D., Eweade, B. S., & Gyamfi, B. A. (2025). Exploring the role of ICT adoption technologies and renewable energy consumption in achieving a sustainable environment in the United States: An SDGs-based policy framework. Environmental Sciences Europe, 37(1), 20. https://doi.org/10.1186/s12302-025-01059-z google scholar
  • Akkaya, Ş., & Hepsağ, A. (2021). Does fuel tax decrease carbon dioxide emissions in Turkey? Evidence from an asymmetric nonlinear cointegration test and error correction model. Environmental Science and Pollution Research, 28, 35094-35101. https://doi.org/10.1007/s11356-021-12907-9 google scholar
  • Awodumi, O. B., & Adewuyi, A. O. (2020). The role of non-renewable energy consumption in economic growth and carbon emission: Evidence from oil producing economies in Africa. Energy Strategy Reviews, 27, 100434. https://doi.org/10.1016/j.esr.2019.100434 google scholar
  • Balsalobre-Lorente, D., Nur, T., & Topaloglu, E. E. (2025). Examining the sustainable development process through the economic complexity, technology, urbanization, and renewable energy in D-8 countries. Quality & Quantity, 1-41. https://doi.org/10.1007/s11135-025-02161-3 google scholar
  • Bashayreh, A., Hindawi, H., & Tahtamouni A. (2024) Urbanization rate associated with renewable in electricity production and CO2 emissions in Jordan: A threshold regression approach. Research Square, 1-8. https://doi.org/10.21203/rs.3.rs-4572523/v1 google scholar
  • Bhattacharya, M., Paramati, S.R., Ozturk, I., & Bhattacharya, S. (2016). The effect of renewable energy consumption on economic growth: Evidence from top 38 countries. Applied Energy, 162, 733-741. https://doi.org/10.1016/j.apenergy.2015.10.104 google scholar
  • Climate Action Tracker (2024). China, accessed at: https://climateactiontracker.org/countries/china/ (15.04.2025). google scholar
  • Dam, M. M., & Sarkodie, S. A. (2023). Renewable energy consumption, real income, trade openness, and inverted load capacity factor nexus in Turkiye: Revisiting the EKC hypothesis with environmental sustainability. Sustainable Horizons, 8, 100063. https://doi.org/10.1016/j.horiz.2023.100063google scholar
  • Dam, M. M., Işık, C., & Ongan, S. (2023). The impacts of renewable energy and institutional quality in environmental sustainability in the context of the sustainable development goals: A novel approach with the inverted load capacity factor. Environmental Science and Pollution Research, 30(42), 95394-95409. https://doi.org/10.1007/s11356-023-29020-8 google scholar
  • Dam, M.M., Acar, Y., Kaya, F., & Durmaz, A. (2024). Exploring the impact of life expectancy, environmental policy stringency and renewable energy consumption on the environmental sustainability: Testing of inverted load capacity curve hypotheses. Energy, [Policy & Economics eJournal];, 1-18. http://dx.doi.org/10.2139/ssrn.4699548 Energy Information Administration (EIA), (2025). Data, accessed at: https://www.eia.gov/opendata/ (15.04.2025).google scholar
  • Erkılıç, E., Gazeloğlu, C., & Ozgoren-Unlu, E. (2025). Renewable energy solution to carbon emissions: BRICS countries in the grip of globalization and economic growth. Sustainability, 17, 1-24. https://doi.org/10.3390/su17094117 google scholar
  • Global Footprint Network (GFN), (2022). China, accessed at: https://data.footprintnetwork.org/#/ (15.04.2025). google scholar
  • Global Footprint Network (GFN), (2025). Data, accessed at: https://www.footprintnetwork.org/ (15.04.2025). google scholar
  • Hart, R. (2024). Climate change will cost global economy $38 trillion every year within 25 years, scientists warn, accessed at: https://www.forbes.com/sites/roberthart/2024/04/17/climate-change-will-cost-global-economy-38-trillion-every-year-within-25-years-scientists-warn/(15.04.2025. google scholar
  • Harvey, D. I., & Mills, T. C. (2002). Unit roots and double smooth transitions. Journal of Applied Statistics, 29(5), 675-683. https://doi.org/10.1080/02664760120098739 google scholar
  • Harvey, D. I., Mills, T. C., & Xiao, B. (2008). A powerful test for linearity when the order of integration is unknown. Studies in Nonlinear Dynamics & Econometrics, 12(3), 1-24. https://doi.org/10.2202/1558-3708.1582 google scholar
  • Hepsağ, A. (2021). A Unit root test based on smooth transitions and nonlinear adjustment. Communications in Statistics-Simulation and Computation, 50(3), 625-632. https://doi.org/10.1080/03610918.2018.1563154google scholar
  • Hepsağ, A. (2022). Ekonometrik zaman serileri analizlerinde güncel yöntemler (WinRats Uygulamalı). Der Yayınları. google scholar
  • Hill, W. A. (2025). What you need to know about China’s new energy law, accessed at: https://www.forbes.com/sites/wesleyhill/2025/01/07/what-you-need-to-know-about-chinas-new-energy-law/(15.04.2025. google scholar
  • International Energy Agency (IEA), (2021). An energy sector roadmap to carbon neutrality in China, IEA, Paris, accessed at: https://www.iea.org/reports/an-energy-sector-roadmap-to-carbon-neutrality-in-china(15.04.2025. google scholar
  • International Energy Agency (IEA), (2022). China, accessed at: (15.04.2025).google scholar
  • Khan, I., Muhammed, I., Sharif, A., Khan, I., & Ji, X. (2024). Unlocking the potential of renewable energy and natural resources for sustainable economic growth and carbon neutrality: A novel panel quantile regression approach. Renewable Energy, 221, 1-13. https://doi.org/10.1016/j.renene.2023.119779 google scholar
  • Koengkan, M., Fuinhas, J. A., & Santiago, R. (2020). The relationship between CO₂ emissions, renewable and non-renewable energy consumption, economic growth, and urbanisation in the Southern Common Market. Journal of Environmental Economics and Policy, 9(3), 221–239. https://doi.org/10.1080/21606544.2019.1702902 google scholar
  • Leybourne, S. J., Newbold, P., & Vougas, D. (1998). Unit roots and smooth transitions. Journal of Time Series Analysis, 19, 83-97. https://doi.org/10.1111/1467-9892.00078 google scholar
  • Liu, H., Evans, S., Zhang, Z., Song, W., & You, X. (2023). The carbon brief profile: China, accessed at: https://interactive.carbonbrief.org/the-carbon-brief-profile-china/index.html#impacts-and-adaptation(15.04.2025. google scholar
  • Majeed, M. T., Anwar, A., & Luni, T. (2021). The impact of renewable and non-renewable energy consumption on economic growth: A global perspective with developed and developing economies. Pakistan Journal of Commerce and Social Sciences, 15(2), 286-307. https://hdl.handle.net/10419/237079 google scholar
  • Naimoglu, M., Dam, M. M., & Tiwari, A. K. (2025). Assessing the role of energy R&D efficiency in advancing environmental sustainability: Evidence from France with new ILCC hypotheses and soft structural changes. Journal of Environmental Management, 394, 127459. https://doi.org/10.1016/j.jenvman.2025.127459 google scholar
  • Nazlioglu, S., Gormus, N. A., & Soytas, U. (2016). Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis. Energy Economics, 60, 168-175. https://doi.org/10.1016/j.eneco.2016.09.009 google scholar
  • Nuta, F. M., Sharafat, A., Abban, J. O., Khan, I., Irfan, M., Nuta, A. C., Dankyi, A. B., & Asghar, M. (2024). The relationship among urbanization, economic growth, renewable energy consumption, and environmental degradation: A comparative view of European and Asian emerging economies. Gondwana Research, 128, 325-339. https://doi.org/10.1016/j.gr.2023.10.023google scholar
  • Oğul, B. (2022). Türkiye’de çevresel teknolojik inovasyonlar ekolojik ayak izini azaltiyor mu? ARDL sınır testi analizi. İnönü Üniversitesi Uluslararası Sosyal Bilimler Dergisi, 11(2), 409-427. https://doi.org/10.54282/inijoss.1116874 google scholar
  • Omri, A., Mabrouk, N. B., & Sassi-Tmar, A. (2015). Modelling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries. Renewable and Sustainable Energy Reviews, 42, 1012-1022. https://doi.org/10.1016/j.rser.2014.10.046 google scholar
  • Özbek, B., & Özbek, S. (2024). Environmental sustainability in India: The effects of financial development and green energy on ecological footprint. Acta Montanistica Slovaca, 29(1), 203-215. https://doi.org/10.46544/AMS.v29i1.18 google scholar 
  • Özbek, S., Ceylan, R., & Karademir, C. (2025). Does income growth primarily affect ecological footprint or renewable energy? New evidence from India in the context of the Kuznets hypothesis. Carbon Footprints, 4, 30. https://dx.doi.org/10.20517/cf.2025.43 google scholar 
  • Pao H. T., & Fu H. C. (2013). The causal relationship between energy resources and economic growth in Brazil. Energy Policy, 61, 793-801. http://dx.doi.org/10.1016/j.enpol.2013.06.113 google scholar 
  • Pata, U. K., Bulut, U., Balsalobre-Lorente, D., & Chovancová, J. (2025). Does income growth affect renewable energy or carbon emissions first? A Fourier-based analysis for renewable and fossil energies. Energy Strategy Reviews, 57, 101615. https://doi.org/10.1016/j.esr. 2024.101615 google scholar 
  • Pata, U. K., Kartal, M. T., Dam, M. M., & Kaya, F. (2023). Navigating the impact of renewable energy, trade openness, income, and globalization on load capacity factor: The case of Latin American and Caribbean (LAC) countries. International Journal of Energy Research, 6828781. https://doi.org/10.1155/2023/6828781 google scholar 
  • Phillips, P. C., & Hansen, B. E. (1990). Statistical inference in instrumental variables regression with I(1) processes. The Review of Economic Studies, 57(1), 99-125. https://doi.org/10.2307/2297545 google scholar 
  • Phillips, P.C.B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75, 335-346. https://doi.org/10.1093/ biomet/75.2.335google scholar 
  • Qamruzzaman, M. (2024). Environmental sustainability in Bangladesh through renewable energy, foreign direct investment, and trade openness: Evidence from load capacity factor and inverted load capacity factor with Fourier functions. https://doi.org/10.21203/ rs-5004183/v1 google scholar 
  • Ramaharo, F. M., & Randriamifidy, M. F. (2023). Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms. Hal Open Science, 1-21. https://hal.science/hal-04262240v1google scholar 
  • Riaz, M.H., Alam, M., Ali, A., Ahmed, Z., & Raihan A. (2025). The role of growth, energy, and resource utilization in ecological footprints: Navigating BRICS + environmental challenges. Letters in Spatial and Resource Sciences, 18(8), 1-29. https://doi.org/10.1007/s12076- 025-00403-4google scholar 
  • Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599. https://doi.org/10.2307/2336570 google scholar 
  • Schwert, G. W. (2002). Tests for unit roots: a Monte Carlo investigation. Journal of Business and Economics Statistics, 20(1), 5-17. https:// doi.org/10.1198/073500102753410354 google scholar 
  • Shahbaz, M., Zeshan, M., & Afza, T. (2012). Is energy consumption effective to spur economic growth in Pakistan? New evidence from bounds test to level relationships and Granger causality tests. Economic Modelling, 29(6), 2310-2319. https://doi.org/10.1016/j. econmod.2012.06.027 google scholar 
  • Şimşek, O., Güler, İ., Özbek, S., Adalı, Z., & Naimoğlu, M. (2025). Exploring the impact of globalization, economic complexity, urbanization, and real income on environmental degradation in E-7 countries. Ege Academic Review, 25(1), 201-220. https://doi.org/10.21121/ eab.20250113 google scholar 
  • Sun, A., Bao, K., Aslam, M., Gu, X., Khan, Z., & Uktamov, K. F. (2024). Testing load capacity and environmental Kuznets curve hypothesis for China: Evidence from novel dynamic autoregressive distributed lags model. Gondwana Research, 129, 476-489. https://doi.org/ 10.1016/j.gr.2023.07.018google scholar 
  • Sun, J., & Qamruzzaman M. (2025). Technological innovation, trade openness, natural resources, clean energy on environmental sustainably: a competitive assessment between CO2 emission, ecological footprint, load capacity factor and inverted load capacity factor in BRICS+T. Frontiers in Environmental Science, 12. https://doi.org/10.3389/fenvs.2024.1520562google scholar 
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. https://doi.org/10.1016/0304-4076(94)01616-8google scholar 
  • United Nations Environment Programme (UNEP), (2024). Sustainability, available at: https://www.unep.org/about-un-environment/sustainability (15.04.2025). google scholar 
  • Usman, O., Ozkan, O., Adeshola, I., & Bekun, F. V. (2024). Analysing the nexus between clean energy expansion, natural resource extraction, and load capacity factor in China: A step towards achieving COP27 targets. Environment, Development and Sustainability. Advance online publication. https://doi.org/10.1007/s10668-023-04399-z google scholar 
  • Wang, Q., Dong, Z., & Li, R. (2023a). Revisiting renewable energy and economic growth-Does trade openness a matter?. Environmental Science and Pollution Research, 30, 31727–31740. https://doi.org/10.1007/s11356-022-24358-x
  • Wang, Q., Li, C., & Li, R. (2023b). Could the digital economy increase renewable energy and reduce carbon emissions? Empirical research on EKC in 67 countries. Environmental Science and Pollution Research, 30(31), 77150-77164. https://doi.org/10.1016/j.energy.2021.122018 google scholar 
  • World Bank (2025). Data, available at: https://databank.worldbank.org/source/world-development-indicators(19.04.2025. google scholar 
  • Yao, S., Zhang, S., & Zhang, X. (2019). Renewable energy, carbon emission and economic growth: A revised environmental Kuznets curve perspective. Journal of Cleaner Production, 235, 1338-1352. https://doi.org/10.1016/j.jclepro.2019.07.069 google scholar 
  • Yildirim, E., Saraç, Ş., & Aslan, A. (2012). Energy consumption and economic growth in the USA: Evidence from renewable energy. Renewable and Sustainable Energy Reviews, 16(9), 6770-6774. https://doi.org/10.1016/j.rser.2012.09.004 google scholar 
  • Yingjun, Z., Jahan, S., & Qamruzzaman, M. (2024). Technological innovation, trade openness, natural resources, and environmental sustainability in Egypt and Turkey: Evidence from load capacity factor and inverted load capacity factor with Fourier functions. Sustainability (2071-1050), 16(19). https://doi.org/10.3390/su16198643 google scholar 
  • Zeren, F., & Akkuş, H. T. (2020). The relationship between renewable energy consumption and trade openness: New evidence from emerging economies. Renewable Energy, 147, 322-329. https://doi.org/10.1016/j.renene.2019.09.006 google scholar

The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators

Yıl 2025, Cilt: 75 Sayı: 2, 453 - 474, 15.01.2026
https://doi.org/10.26650/ISTJECON2025-1711129
https://izlik.org/JA44FZ45KJ

Öz

China, which has been making economic reforms since the 1980s, has become an important actor on a global scale with high growth rates. These developments occurred with the opening up policies, industrialisation, and technological enhancement. However, China is still the most polluting country according to ecological footprint measurement. Therefore, it is essential to determine the factors causing environmental degradation in China and to take new measures. This study investigates environmental sustainability within the framework of the Inverted Load Capacity Factor Curve (ILCC) and Renewable Energy Kuznets Curve (RKC) hypotheses. Empirical analyses are conducted with the Inverted Load Capacity Factor (ILCF), economic growth, renewable and non-renewable energy, trade openness, and urbanisation for the period 1990-2022 for China. The non-linear methodology was used in this study. In this context, the co-integration method developed by Hepsağ (2021) is used to investigate the ILCC and RKC hypotheses. The FMOLS estimator is also used as a robustness test. The Fourier Toda-Yamamoto causality analysis implies short-term causal associations. Empirical findings showed that the ILCC and RKC hypotheses are valid for China. Moreover, the RKC inflection point occurred before that of the ILCC. These results provide significant evidence that income growth in China can increase environmental quality before environmental degradation.

Kaynakça

  • Adebayo, T. S., Özkan, O., Uzun Ozsahin, D., Eweade, B. S., & Gyamfi, B. A. (2025). Exploring the role of ICT adoption technologies and renewable energy consumption in achieving a sustainable environment in the United States: An SDGs-based policy framework. Environmental Sciences Europe, 37(1), 20. https://doi.org/10.1186/s12302-025-01059-z google scholar
  • Akkaya, Ş., & Hepsağ, A. (2021). Does fuel tax decrease carbon dioxide emissions in Turkey? Evidence from an asymmetric nonlinear cointegration test and error correction model. Environmental Science and Pollution Research, 28, 35094-35101. https://doi.org/10.1007/s11356-021-12907-9 google scholar
  • Awodumi, O. B., & Adewuyi, A. O. (2020). The role of non-renewable energy consumption in economic growth and carbon emission: Evidence from oil producing economies in Africa. Energy Strategy Reviews, 27, 100434. https://doi.org/10.1016/j.esr.2019.100434 google scholar
  • Balsalobre-Lorente, D., Nur, T., & Topaloglu, E. E. (2025). Examining the sustainable development process through the economic complexity, technology, urbanization, and renewable energy in D-8 countries. Quality & Quantity, 1-41. https://doi.org/10.1007/s11135-025-02161-3 google scholar
  • Bashayreh, A., Hindawi, H., & Tahtamouni A. (2024) Urbanization rate associated with renewable in electricity production and CO2 emissions in Jordan: A threshold regression approach. Research Square, 1-8. https://doi.org/10.21203/rs.3.rs-4572523/v1 google scholar
  • Bhattacharya, M., Paramati, S.R., Ozturk, I., & Bhattacharya, S. (2016). The effect of renewable energy consumption on economic growth: Evidence from top 38 countries. Applied Energy, 162, 733-741. https://doi.org/10.1016/j.apenergy.2015.10.104 google scholar
  • Climate Action Tracker (2024). China, accessed at: https://climateactiontracker.org/countries/china/ (15.04.2025). google scholar
  • Dam, M. M., & Sarkodie, S. A. (2023). Renewable energy consumption, real income, trade openness, and inverted load capacity factor nexus in Turkiye: Revisiting the EKC hypothesis with environmental sustainability. Sustainable Horizons, 8, 100063. https://doi.org/10.1016/j.horiz.2023.100063google scholar
  • Dam, M. M., Işık, C., & Ongan, S. (2023). The impacts of renewable energy and institutional quality in environmental sustainability in the context of the sustainable development goals: A novel approach with the inverted load capacity factor. Environmental Science and Pollution Research, 30(42), 95394-95409. https://doi.org/10.1007/s11356-023-29020-8 google scholar
  • Dam, M.M., Acar, Y., Kaya, F., & Durmaz, A. (2024). Exploring the impact of life expectancy, environmental policy stringency and renewable energy consumption on the environmental sustainability: Testing of inverted load capacity curve hypotheses. Energy, [Policy & Economics eJournal];, 1-18. http://dx.doi.org/10.2139/ssrn.4699548 Energy Information Administration (EIA), (2025). Data, accessed at: https://www.eia.gov/opendata/ (15.04.2025).google scholar
  • Erkılıç, E., Gazeloğlu, C., & Ozgoren-Unlu, E. (2025). Renewable energy solution to carbon emissions: BRICS countries in the grip of globalization and economic growth. Sustainability, 17, 1-24. https://doi.org/10.3390/su17094117 google scholar
  • Global Footprint Network (GFN), (2022). China, accessed at: https://data.footprintnetwork.org/#/ (15.04.2025). google scholar
  • Global Footprint Network (GFN), (2025). Data, accessed at: https://www.footprintnetwork.org/ (15.04.2025). google scholar
  • Hart, R. (2024). Climate change will cost global economy $38 trillion every year within 25 years, scientists warn, accessed at: https://www.forbes.com/sites/roberthart/2024/04/17/climate-change-will-cost-global-economy-38-trillion-every-year-within-25-years-scientists-warn/(15.04.2025. google scholar
  • Harvey, D. I., & Mills, T. C. (2002). Unit roots and double smooth transitions. Journal of Applied Statistics, 29(5), 675-683. https://doi.org/10.1080/02664760120098739 google scholar
  • Harvey, D. I., Mills, T. C., & Xiao, B. (2008). A powerful test for linearity when the order of integration is unknown. Studies in Nonlinear Dynamics & Econometrics, 12(3), 1-24. https://doi.org/10.2202/1558-3708.1582 google scholar
  • Hepsağ, A. (2021). A Unit root test based on smooth transitions and nonlinear adjustment. Communications in Statistics-Simulation and Computation, 50(3), 625-632. https://doi.org/10.1080/03610918.2018.1563154google scholar
  • Hepsağ, A. (2022). Ekonometrik zaman serileri analizlerinde güncel yöntemler (WinRats Uygulamalı). Der Yayınları. google scholar
  • Hill, W. A. (2025). What you need to know about China’s new energy law, accessed at: https://www.forbes.com/sites/wesleyhill/2025/01/07/what-you-need-to-know-about-chinas-new-energy-law/(15.04.2025. google scholar
  • International Energy Agency (IEA), (2021). An energy sector roadmap to carbon neutrality in China, IEA, Paris, accessed at: https://www.iea.org/reports/an-energy-sector-roadmap-to-carbon-neutrality-in-china(15.04.2025. google scholar
  • International Energy Agency (IEA), (2022). China, accessed at: (15.04.2025).google scholar
  • Khan, I., Muhammed, I., Sharif, A., Khan, I., & Ji, X. (2024). Unlocking the potential of renewable energy and natural resources for sustainable economic growth and carbon neutrality: A novel panel quantile regression approach. Renewable Energy, 221, 1-13. https://doi.org/10.1016/j.renene.2023.119779 google scholar
  • Koengkan, M., Fuinhas, J. A., & Santiago, R. (2020). The relationship between CO₂ emissions, renewable and non-renewable energy consumption, economic growth, and urbanisation in the Southern Common Market. Journal of Environmental Economics and Policy, 9(3), 221–239. https://doi.org/10.1080/21606544.2019.1702902 google scholar
  • Leybourne, S. J., Newbold, P., & Vougas, D. (1998). Unit roots and smooth transitions. Journal of Time Series Analysis, 19, 83-97. https://doi.org/10.1111/1467-9892.00078 google scholar
  • Liu, H., Evans, S., Zhang, Z., Song, W., & You, X. (2023). The carbon brief profile: China, accessed at: https://interactive.carbonbrief.org/the-carbon-brief-profile-china/index.html#impacts-and-adaptation(15.04.2025. google scholar
  • Majeed, M. T., Anwar, A., & Luni, T. (2021). The impact of renewable and non-renewable energy consumption on economic growth: A global perspective with developed and developing economies. Pakistan Journal of Commerce and Social Sciences, 15(2), 286-307. https://hdl.handle.net/10419/237079 google scholar
  • Naimoglu, M., Dam, M. M., & Tiwari, A. K. (2025). Assessing the role of energy R&D efficiency in advancing environmental sustainability: Evidence from France with new ILCC hypotheses and soft structural changes. Journal of Environmental Management, 394, 127459. https://doi.org/10.1016/j.jenvman.2025.127459 google scholar
  • Nazlioglu, S., Gormus, N. A., & Soytas, U. (2016). Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis. Energy Economics, 60, 168-175. https://doi.org/10.1016/j.eneco.2016.09.009 google scholar
  • Nuta, F. M., Sharafat, A., Abban, J. O., Khan, I., Irfan, M., Nuta, A. C., Dankyi, A. B., & Asghar, M. (2024). The relationship among urbanization, economic growth, renewable energy consumption, and environmental degradation: A comparative view of European and Asian emerging economies. Gondwana Research, 128, 325-339. https://doi.org/10.1016/j.gr.2023.10.023google scholar
  • Oğul, B. (2022). Türkiye’de çevresel teknolojik inovasyonlar ekolojik ayak izini azaltiyor mu? ARDL sınır testi analizi. İnönü Üniversitesi Uluslararası Sosyal Bilimler Dergisi, 11(2), 409-427. https://doi.org/10.54282/inijoss.1116874 google scholar
  • Omri, A., Mabrouk, N. B., & Sassi-Tmar, A. (2015). Modelling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries. Renewable and Sustainable Energy Reviews, 42, 1012-1022. https://doi.org/10.1016/j.rser.2014.10.046 google scholar
  • Özbek, B., & Özbek, S. (2024). Environmental sustainability in India: The effects of financial development and green energy on ecological footprint. Acta Montanistica Slovaca, 29(1), 203-215. https://doi.org/10.46544/AMS.v29i1.18 google scholar 
  • Özbek, S., Ceylan, R., & Karademir, C. (2025). Does income growth primarily affect ecological footprint or renewable energy? New evidence from India in the context of the Kuznets hypothesis. Carbon Footprints, 4, 30. https://dx.doi.org/10.20517/cf.2025.43 google scholar 
  • Pao H. T., & Fu H. C. (2013). The causal relationship between energy resources and economic growth in Brazil. Energy Policy, 61, 793-801. http://dx.doi.org/10.1016/j.enpol.2013.06.113 google scholar 
  • Pata, U. K., Bulut, U., Balsalobre-Lorente, D., & Chovancová, J. (2025). Does income growth affect renewable energy or carbon emissions first? A Fourier-based analysis for renewable and fossil energies. Energy Strategy Reviews, 57, 101615. https://doi.org/10.1016/j.esr. 2024.101615 google scholar 
  • Pata, U. K., Kartal, M. T., Dam, M. M., & Kaya, F. (2023). Navigating the impact of renewable energy, trade openness, income, and globalization on load capacity factor: The case of Latin American and Caribbean (LAC) countries. International Journal of Energy Research, 6828781. https://doi.org/10.1155/2023/6828781 google scholar 
  • Phillips, P. C., & Hansen, B. E. (1990). Statistical inference in instrumental variables regression with I(1) processes. The Review of Economic Studies, 57(1), 99-125. https://doi.org/10.2307/2297545 google scholar 
  • Phillips, P.C.B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75, 335-346. https://doi.org/10.1093/ biomet/75.2.335google scholar 
  • Qamruzzaman, M. (2024). Environmental sustainability in Bangladesh through renewable energy, foreign direct investment, and trade openness: Evidence from load capacity factor and inverted load capacity factor with Fourier functions. https://doi.org/10.21203/ rs-5004183/v1 google scholar 
  • Ramaharo, F. M., & Randriamifidy, M. F. (2023). Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms. Hal Open Science, 1-21. https://hal.science/hal-04262240v1google scholar 
  • Riaz, M.H., Alam, M., Ali, A., Ahmed, Z., & Raihan A. (2025). The role of growth, energy, and resource utilization in ecological footprints: Navigating BRICS + environmental challenges. Letters in Spatial and Resource Sciences, 18(8), 1-29. https://doi.org/10.1007/s12076- 025-00403-4google scholar 
  • Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599. https://doi.org/10.2307/2336570 google scholar 
  • Schwert, G. W. (2002). Tests for unit roots: a Monte Carlo investigation. Journal of Business and Economics Statistics, 20(1), 5-17. https:// doi.org/10.1198/073500102753410354 google scholar 
  • Shahbaz, M., Zeshan, M., & Afza, T. (2012). Is energy consumption effective to spur economic growth in Pakistan? New evidence from bounds test to level relationships and Granger causality tests. Economic Modelling, 29(6), 2310-2319. https://doi.org/10.1016/j. econmod.2012.06.027 google scholar 
  • Şimşek, O., Güler, İ., Özbek, S., Adalı, Z., & Naimoğlu, M. (2025). Exploring the impact of globalization, economic complexity, urbanization, and real income on environmental degradation in E-7 countries. Ege Academic Review, 25(1), 201-220. https://doi.org/10.21121/ eab.20250113 google scholar 
  • Sun, A., Bao, K., Aslam, M., Gu, X., Khan, Z., & Uktamov, K. F. (2024). Testing load capacity and environmental Kuznets curve hypothesis for China: Evidence from novel dynamic autoregressive distributed lags model. Gondwana Research, 129, 476-489. https://doi.org/ 10.1016/j.gr.2023.07.018google scholar 
  • Sun, J., & Qamruzzaman M. (2025). Technological innovation, trade openness, natural resources, clean energy on environmental sustainably: a competitive assessment between CO2 emission, ecological footprint, load capacity factor and inverted load capacity factor in BRICS+T. Frontiers in Environmental Science, 12. https://doi.org/10.3389/fenvs.2024.1520562google scholar 
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. https://doi.org/10.1016/0304-4076(94)01616-8google scholar 
  • United Nations Environment Programme (UNEP), (2024). Sustainability, available at: https://www.unep.org/about-un-environment/sustainability (15.04.2025). google scholar 
  • Usman, O., Ozkan, O., Adeshola, I., & Bekun, F. V. (2024). Analysing the nexus between clean energy expansion, natural resource extraction, and load capacity factor in China: A step towards achieving COP27 targets. Environment, Development and Sustainability. Advance online publication. https://doi.org/10.1007/s10668-023-04399-z google scholar 
  • Wang, Q., Dong, Z., & Li, R. (2023a). Revisiting renewable energy and economic growth-Does trade openness a matter?. Environmental Science and Pollution Research, 30, 31727–31740. https://doi.org/10.1007/s11356-022-24358-x
  • Wang, Q., Li, C., & Li, R. (2023b). Could the digital economy increase renewable energy and reduce carbon emissions? Empirical research on EKC in 67 countries. Environmental Science and Pollution Research, 30(31), 77150-77164. https://doi.org/10.1016/j.energy.2021.122018 google scholar 
  • World Bank (2025). Data, available at: https://databank.worldbank.org/source/world-development-indicators(19.04.2025. google scholar 
  • Yao, S., Zhang, S., & Zhang, X. (2019). Renewable energy, carbon emission and economic growth: A revised environmental Kuznets curve perspective. Journal of Cleaner Production, 235, 1338-1352. https://doi.org/10.1016/j.jclepro.2019.07.069 google scholar 
  • Yildirim, E., Saraç, Ş., & Aslan, A. (2012). Energy consumption and economic growth in the USA: Evidence from renewable energy. Renewable and Sustainable Energy Reviews, 16(9), 6770-6774. https://doi.org/10.1016/j.rser.2012.09.004 google scholar 
  • Yingjun, Z., Jahan, S., & Qamruzzaman, M. (2024). Technological innovation, trade openness, natural resources, and environmental sustainability in Egypt and Turkey: Evidence from load capacity factor and inverted load capacity factor with Fourier functions. Sustainability (2071-1050), 16(19). https://doi.org/10.3390/su16198643 google scholar 
  • Zeren, F., & Akkuş, H. T. (2020). The relationship between renewable energy consumption and trade openness: New evidence from emerging economies. Renewable Energy, 147, 322-329. https://doi.org/10.1016/j.renene.2019.09.006 google scholar
Toplam 57 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ekolojik İktisat
Bölüm Araştırma Makalesi
Yazarlar

Sefa Özbek 0000-0002-1043-2056

Serkan Şahin 0000-0002-1927-1092

Yusuf Korkmaz 0000-0002-6510-9715

Gönderilme Tarihi 31 Mayıs 2025
Kabul Tarihi 22 Kasım 2025
Yayımlanma Tarihi 15 Ocak 2026
DOI https://doi.org/10.26650/ISTJECON2025-1711129
IZ https://izlik.org/JA44FZ45KJ
Yayımlandığı Sayı Yıl 2025 Cilt: 75 Sayı: 2

Kaynak Göster

APA Özbek, S., Şahin, S., & Korkmaz, Y. (2026). The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators. İstanbul İktisat Dergisi, 75(2), 453-474. https://doi.org/10.26650/ISTJECON2025-1711129
AMA 1.Özbek S, Şahin S, Korkmaz Y. The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators. İstanbul İktisat Dergisi. 2026;75(2):453-474. doi:10.26650/ISTJECON2025-1711129
Chicago Özbek, Sefa, Serkan Şahin, ve Yusuf Korkmaz. 2026. “The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators”. İstanbul İktisat Dergisi 75 (2): 453-74. https://doi.org/10.26650/ISTJECON2025-1711129.
EndNote Özbek S, Şahin S, Korkmaz Y (01 Ocak 2026) The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators. İstanbul İktisat Dergisi 75 2 453–474.
IEEE [1]S. Özbek, S. Şahin, ve Y. Korkmaz, “The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators”, İstanbul İktisat Dergisi, c. 75, sy 2, ss. 453–474, Oca. 2026, doi: 10.26650/ISTJECON2025-1711129.
ISNAD Özbek, Sefa - Şahin, Serkan - Korkmaz, Yusuf. “The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators”. İstanbul İktisat Dergisi 75/2 (01 Ocak 2026): 453-474. https://doi.org/10.26650/ISTJECON2025-1711129.
JAMA 1.Özbek S, Şahin S, Korkmaz Y. The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators. İstanbul İktisat Dergisi. 2026;75:453–474.
MLA Özbek, Sefa, vd. “The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators”. İstanbul İktisat Dergisi, c. 75, sy 2, Ocak 2026, ss. 453-74, doi:10.26650/ISTJECON2025-1711129.
Vancouver 1.Özbek S, Şahin S, Korkmaz Y. The Role of Economic Growth in the Validation of Environmental Sustainability: New Evidence from the Inverted Load Capacity Factor and Renewable Energy Indicators. İstanbul İktisat Dergisi [Internet]. 01 Ocak 2026;75(2):453-74. Erişim adresi: https://izlik.org/JA44FZ45KJ