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How Do Economic Complexity and Energy Intensity Affect Carbon Emissions? A Model Adaptation Based on the EKC Approach

Yıl 2025, Cilt: 10 Sayı: 3, 1263 - 1294
https://doi.org/10.25229/beta.1565340

Öz

Countries tend to bring their income closer to an income level close to the complexity of production structures. And this requires countries to focus on creating conditions that lead to higher complexity to achieve sustainable economic growth. In this case, a more complex productive structure leads to both higher productivity and growth rates. In addition, increasing export shares in products with a high level of complexity/ value added creation is positively associated with increased income. However, increasing economic complexity can lead to environmental degradation due to higher pollution. At this point, the main question addressed in the study is whether ECI rising above a certain level leads to environmental improvement, as it is constructed on income in the basic form of Environmental Kuznets Curve (EKC). Due to this connection, the study uses the economic complexity index instead of income with the EKC model adaptation. Energy intensity is also included in the model with the idea that control of environmental degradation begins with reducing energy intensity. In this context, the study investigates how economic complexity and energy intensity affect carbon emissions with the ARDL Bounds test approach, using data for the period 1995-2021 for Türkiye. According to the findings obtained from the study, there is a significant statistical relationship between the variables in both the long term and short term. It is considered appropriate to develop and prioritize policies that include good practice examples, such as developing green/clear energy, increasing credits and energy subsidies as a way to reduce total primary energy consumption and fossil fuel share, increasing the incentive for energy transition for Turkey.

Kaynakça

  • Adebayo, T. S., Rjoub, H., Akadiri, S. S., Oladipupo, S. D., Sharif, A., ve Adeshola, I. (2022). The role of economic complexity in the environmental kuznets curve of MINT economies: evidence from method of moments quantile regression. Environmental Science and Pollution Research, 29(16), 24248-24260. https://doi.org/10.1007/s11356-021-17524-0.
  • Afroz, R., Alofaysan, H., Sarabdeen, M., Muhibbullah, M. D., ve Muhammad, Y. B. (2024). Analyzing the influence of energy consumption and economic complexity on carbon emissions: evidence from Malaysia. Energies, 17(12), 2900. https://doi.org/10.3390/en17122900 .
  • Agozie, D. Q., Gyamfi, B. A., Bekun, F. V., Ozturk, I., ve Taha, A. (2022). Environmental Kuznets curve hypothesis from lens of economic complexity index for BRICS: evidence from second generation panel analysis. Sustainable Energy Technologies and Assessments, 53, 102597. https://doi.org/10.1016/j.seta.2022.102597.
  • Balsalobre-Lorente, D., dos Santos Parente, C. C., Leitão, N. C., ve Cantos-Cantos, J. M. (2023). The influence of economic complexity processes and renewable energy on CO2 emissions of BRICS. What about industry 4.0?. Resources Policy, 82, 103547. https://doi.org/10.1016/j.resourpol.2023.103547.
  • Balsalobre-Lorente, D., Ibáñez-Luzón, L., Usman, M., ve Shahbaz, M. (2022). The environmental Kuznets curve, based on the economic complexity, and the pollution haven hypothesis in PIIGS countries. Renewable Energy, 185, 1441-1455. https://doi.org/10.1016/j.renene.2021.10.059.
  • Balsalobre-Lorente, D., Nur, T., Topaloglu, E. E., ve Evcimen, C. (2024). Assessing the impact of the economic complexity on the ecological footprint in G7 countries: Fresh evidence under human development and energy innovation processes. Gondwana Research, 127, 226-245. https://doi.org/10.1016/j.gr.2023.03.017.
  • Boleti, E., Garas, A., Kyriakou, A. et al. (2021). Economic complexity and environmental performance: evidence from a world sample. Environmental Modeling and Assessment, 26, 251–270. https://doi.org/10.1007/s10666-021-09750-0
  • Bucak, Ç. (2022). G8 ülkelerinde ve Türkiye’de ekonomik karmaşıklık ve ekolojik ayak izi ilişkisi: Toda-Yamamoto nedensellik testi analizi. Sosyal Ekonomik Araştırmalar Dergisi, 22(1), 1-16. https://doi.org/10.30976/susead.999109
  • Can, M., ve Gozgor, G. (2017). The impact of economic complexity on carbon emissions: evidence from France. Environmental Science and Pollution Research, 24, 16364-16370. https://doi.org/10.1007/s11356-017-9219-7.
  • Chu, L. K., ve Le, N. T. M. (2022). Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries. Environmental Science and Pollution Research, 29(2), 2866-2882. https://doi.org/10.1007/s11356-021-15666-9.
  • Dabachi, U. M., Mahmood, S., Ahmad, A. U., Ismail, S., Farouq, I. S., Jakada, A. H., ve Kabiru, K. (2020). Energy consumption, energy price, energy intensity environmental degradation, and economic growth nexus in African OPEC countries: evidence from simultaneous equations models. Journal of Environmental Treatment Techniques, 8(1), 403-409.
  • Destek, M. A. (2018). Çevresel Kuznets Eğrisi hipotezinin Türkiye için incelenmesi: STIRPAT modelinden bulgular. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 19(2), 268-283. http://esjournal.cumhuriyet.edu.tr/en/download/article-file/586567.
  • Dietz, T., ve Rosa, E. A. (1994). Rethinking the environmental impacts of population, affluence and technology. Human ecology review, 1(2), 277-300. https://www.jstor.org/stable/24706840.
  • Ehrlich, P. R., ve Holdren, J. P. (1971). Impact of population growth: complacency concerning this component of man's predicament is unjustified and counterproductive. Science, 171(3977), 1212-1217. doi: 10.1126/science.171.3977.1212
  • Ehrlich, P. R., ve Holdren, J. P. (1972). Impact of Population Growth. Three Population Resources, and the Environment, Ronald G. Ridker ed.,Washington, 365-377.
  • Engle, R.F., Granger, C.W.J., (1987), Co-Integration and error correction: representation, estimation, and testing, Econometrica, 55 (2), 251-276. https://doi.org/10.2307/1913236
  • Ersungur, Ş. M., Tığtepe, E., ve Kılıç, F. (2022). Ekonomik karmaşıklık ve ekolojik ayak izi ilişkisi: Toda-Yamamoto nedensellik analizi. İşletme Ekonomi ve Yönetim Araştırmaları Dergisi, 5(2), 271-294. https://doi.org/10.33416/baybem.1118496.
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Ekonomik Karmaşıklık ve Enerji Yoğunluğu Karbon Emisyonlarını Nasıl Etkiliyor? Çevresel Kuznets Eğrisi Yaklaşımına Dayalı Bir Model Uyarlaması

Yıl 2025, Cilt: 10 Sayı: 3, 1263 - 1294
https://doi.org/10.25229/beta.1565340

Öz

Ülkelerin üretken yapılarının karmaşıklığına karşılık gelen bir gelir düzeyine yakınsama eğilimi, sürdürülebilir ekonomik büyüme sağlamak için daha yüksek karmaşıklığa yol açan koşullar yaratmaya odaklanmalarını gerektirmektedir. Bu durumda daha karmaşık bir üretken yapı, daha yüksek üretkenliğe ve daha yüksek büyüme oranlarına yol açmaktadır. Ayrıca karmaşıklık düzeyinin/katma değer yaratımının yüksek olduğu ürünlerde ihracat paylarının artması, gelir artışıyla pozitif olarak ilişkilendirilmektedir. Bununla birlikte, ekonomik karmaşıklığın artması, bir noktaya kadar daha yüksek kirlilik sebebi ile çevresel bozulmaya yol açabilmektedir. Bu noktada çalışmada ele alınan temel soru, Çevresel Kuznets Eğrisi (EKC) hipotezi temel formunda gelir üzerinden kurgulandığı gibi ‘ECI’nın da belirli bir düzeyin üzerine çıkması halinde, eğilimi tersine döndürerek çevresel iyileşmeye yol açıp açmadığı’dır. Bu bağlantı sebebiyle çalışmada EKC modelinin uyarlamasıyla, gelir yerine, ekonomik karmaşıklık endeksi esas alınmaktadır. Çevresel bozulmanın kontrolünün enerji yoğunluğunun azaltılmasıyla başlayacağı düşüncesinden hareketle, modele enerji yoğunluğu da dahil edilmektedir. Bu bağlamda çalışmada Türkiye için 1995-2021 dönemine ait veriler kullanılarak ARDL Sınır Testi yaklaşımıyla ekonomik karmaşıklık ve enerji yoğunluğunun karbon emisyonlarını nasıl etkilediği araştırılmaktadır. Çalışmadan elde edilen bulgulara göre hem uzun dönemde hem de kısa dönemde değişkenler arası anlamlı istatistiksel ilişki söz konusudur. Türkiye için temiz enerji gelişimi; toplam birincil enerji tüketimi ve fosil yakıt payını azaltmanın bir yolu olarak kredi ve enerji sübvansiyonları; enerji geçişi teşvikinin arttırılması gibi iyi uygulama örneklerini içeren politikaların geliştirilmesi ve önceliklendirilmesinin yerinde olacağı düşünülmektedir.

Kaynakça

  • Adebayo, T. S., Rjoub, H., Akadiri, S. S., Oladipupo, S. D., Sharif, A., ve Adeshola, I. (2022). The role of economic complexity in the environmental kuznets curve of MINT economies: evidence from method of moments quantile regression. Environmental Science and Pollution Research, 29(16), 24248-24260. https://doi.org/10.1007/s11356-021-17524-0.
  • Afroz, R., Alofaysan, H., Sarabdeen, M., Muhibbullah, M. D., ve Muhammad, Y. B. (2024). Analyzing the influence of energy consumption and economic complexity on carbon emissions: evidence from Malaysia. Energies, 17(12), 2900. https://doi.org/10.3390/en17122900 .
  • Agozie, D. Q., Gyamfi, B. A., Bekun, F. V., Ozturk, I., ve Taha, A. (2022). Environmental Kuznets curve hypothesis from lens of economic complexity index for BRICS: evidence from second generation panel analysis. Sustainable Energy Technologies and Assessments, 53, 102597. https://doi.org/10.1016/j.seta.2022.102597.
  • Balsalobre-Lorente, D., dos Santos Parente, C. C., Leitão, N. C., ve Cantos-Cantos, J. M. (2023). The influence of economic complexity processes and renewable energy on CO2 emissions of BRICS. What about industry 4.0?. Resources Policy, 82, 103547. https://doi.org/10.1016/j.resourpol.2023.103547.
  • Balsalobre-Lorente, D., Ibáñez-Luzón, L., Usman, M., ve Shahbaz, M. (2022). The environmental Kuznets curve, based on the economic complexity, and the pollution haven hypothesis in PIIGS countries. Renewable Energy, 185, 1441-1455. https://doi.org/10.1016/j.renene.2021.10.059.
  • Balsalobre-Lorente, D., Nur, T., Topaloglu, E. E., ve Evcimen, C. (2024). Assessing the impact of the economic complexity on the ecological footprint in G7 countries: Fresh evidence under human development and energy innovation processes. Gondwana Research, 127, 226-245. https://doi.org/10.1016/j.gr.2023.03.017.
  • Boleti, E., Garas, A., Kyriakou, A. et al. (2021). Economic complexity and environmental performance: evidence from a world sample. Environmental Modeling and Assessment, 26, 251–270. https://doi.org/10.1007/s10666-021-09750-0
  • Bucak, Ç. (2022). G8 ülkelerinde ve Türkiye’de ekonomik karmaşıklık ve ekolojik ayak izi ilişkisi: Toda-Yamamoto nedensellik testi analizi. Sosyal Ekonomik Araştırmalar Dergisi, 22(1), 1-16. https://doi.org/10.30976/susead.999109
  • Can, M., ve Gozgor, G. (2017). The impact of economic complexity on carbon emissions: evidence from France. Environmental Science and Pollution Research, 24, 16364-16370. https://doi.org/10.1007/s11356-017-9219-7.
  • Chu, L. K., ve Le, N. T. M. (2022). Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries. Environmental Science and Pollution Research, 29(2), 2866-2882. https://doi.org/10.1007/s11356-021-15666-9.
  • Dabachi, U. M., Mahmood, S., Ahmad, A. U., Ismail, S., Farouq, I. S., Jakada, A. H., ve Kabiru, K. (2020). Energy consumption, energy price, energy intensity environmental degradation, and economic growth nexus in African OPEC countries: evidence from simultaneous equations models. Journal of Environmental Treatment Techniques, 8(1), 403-409.
  • Destek, M. A. (2018). Çevresel Kuznets Eğrisi hipotezinin Türkiye için incelenmesi: STIRPAT modelinden bulgular. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 19(2), 268-283. http://esjournal.cumhuriyet.edu.tr/en/download/article-file/586567.
  • Dietz, T., ve Rosa, E. A. (1994). Rethinking the environmental impacts of population, affluence and technology. Human ecology review, 1(2), 277-300. https://www.jstor.org/stable/24706840.
  • Ehrlich, P. R., ve Holdren, J. P. (1971). Impact of population growth: complacency concerning this component of man's predicament is unjustified and counterproductive. Science, 171(3977), 1212-1217. doi: 10.1126/science.171.3977.1212
  • Ehrlich, P. R., ve Holdren, J. P. (1972). Impact of Population Growth. Three Population Resources, and the Environment, Ronald G. Ridker ed.,Washington, 365-377.
  • Engle, R.F., Granger, C.W.J., (1987), Co-Integration and error correction: representation, estimation, and testing, Econometrica, 55 (2), 251-276. https://doi.org/10.2307/1913236
  • Ersungur, Ş. M., Tığtepe, E., ve Kılıç, F. (2022). Ekonomik karmaşıklık ve ekolojik ayak izi ilişkisi: Toda-Yamamoto nedensellik analizi. İşletme Ekonomi ve Yönetim Araştırmaları Dergisi, 5(2), 271-294. https://doi.org/10.33416/baybem.1118496.
  • Grossman, G. M. ve Krueger, A. B. (1991). Environmental impacts of a North American Free Trade Agreement. NBER Workıng Paper 3914, November/1991, https://www.nber.org/system/files/working_papers/w3914/w3914.pdf.
  • Grossman, G. M., ve Krueger, A. B. (1995). Economic growth and the environment. The quarterly journal of economics, 110(2), 353-377. https://doi.org/10.2307/2118443.
  • Hausmann, R., Hidalgo, C. A., Bustos, S., Coscia, M., ve Simoes, A. (2014). The atlas of economic complexity: Mapping paths to prosperity. Mit Press.
  • He, Y., ve Lin, B. (2019). Investigating environmental Kuznets curve from an energy intensity perspective: empirical evidence from China. Journal of Cleaner Production, 234, 1013-1022. https://doi.org/10.1016/j.jclepro.2019.06.121.
  • Hidalgo, C. A., ve Hausmann, R. (2009). The building blocks of economic complexity. Proceedings of the national academy of sciences, 106(26), 10570-10575. https://doi.org/10.1073/pnas.090094310.
  • Johansen, S., (1988), Statistical Analysis of Cointegrating Vectors, Journal of Economic Dynamics and Control, 12 (2/3), 231-254. https://doi.org/10.1016/0165-1889(88)90041-3
  • Johansen, S., (1995). Identifying restrictions of linear equations with applications to simultaneous equations and cointegration. Journal of econometrics, 69(1), 111-132. https://doi.org/10.1016/0304-4076(94)01664-L.
  • Joof, F., Samour, A., Ali, M., Rehman, M. A., ve Tursoy, T. (2024). Economic complexity, renewable energy and ecological footprint: The role of the housing market in the USA. Energy and Buildings, 311, 114131. https://doi.org/10.1016/j.enbuild.2024.114131.
  • Khezri, M., Heshmati, A., ve Khodaei, M. (2022). Environmental implications of economic complexity and its role in determining how renewable energies affect CO2 emissions. Applied Energy, 306, 117948. https://doi.org/10.1016/j.apenergy.2021.117948.
  • Kılıç, C., Soyyiğit, S., ve Bayrakdar, S. (2023). Economic complexity, ecological footprint, and the Environmental Kuznets Curve: findings from selected ındustrialized countries. Journal of the Knowledge Economy, 15, 7402–7427. https://doi.org/10.1007/s13132-023-01411-9.
  • Kuznets, S. (1955). International Differences in Capital Formation and Financing. In Capital formation and economic growth (pp. 19-111). Princeton University Press. https://www.nber.org/system/files/chapters/c1303/c1303.pdf
  • Lapatinas, A., Garas, A., Boleti, E., ve Kyriakou, A. (2019). Economic complexity and environmental performance: Evidence from a world sample. MPRA Paper No. 92833, https://mpra.ub.uni-muenchen.de/92833/.
  • Lee, C. C., ve Olasehinde‐Williams, G. (2024). Does economic complexity influence environmental performance? Empirical evidence from OECD countries. International Journal of Finance ve Economics, 29(1), 356-382. https://doi.org/10.1002/ijfe.2689.
  • Li, R., Wang, Q., ve Guo, J. (2024). Revisiting the environmental Kuznets curve (EKC) hypothesis of carbon emissions: exploring the impact of geopolitical risks, natural resource rents, corrupt governance, and energy intensity. Journal of Environmental Management, 351, 119663. https://doi.org/10.1016/j.jenvman.2023.119663.
  • Majumdar, D., ve Kar, S. (2017). Does technology diffusion help to reduce emission intensity? Evidence from organized manufacturing and agriculture in India. Resource and Energy Economics, 48, 30-41. https://doi.org/10.1016/j.reseneeco.2017.01.004.
  • Mealy, P., ve Teytelboym, A. (2020). Economic complexity and the green economy. Research Policy, 103948. https://doi.org/10.1016/j.respol.2020.103948.
  • Narayan, P. K., ve Narayan, S. (2005). Estimating ıncome and price elasticities of ımports for fiji ın a cointegration framework. Economic Modelling, 22(3), 423-438. https://doi.org/10.1016/j.econmod.2004.06.004.
  • Neagu, O. (2019). The link between economic complexity and carbon emissions in the European Union countries: a model based on the Environmental Kuznets Curve (EKC) approach. Sustainability, 11(17), 4753. https://doi.org/10.3390/su11174753.
  • Neagu, O., ve Neagu, M. I. (2022). The Environmental Kuznets Curve revisited: economic complexity and ecological footprint in the most complex economies of the world. Studia Universitatis Vasile Goldiș Arad, Seria Științe Economice, 32(1), 78-99. https://doi.org/10.2478/sues-2022-0005.
  • Neagu, O., ve Teodoru, M. C. (2019). The relationship between economic complexity, energy consumption structure and greenhouse gas emission: Heterogeneous panel evidence from the EU countries. Sustainability, 11(2), 497. https://doi.org/10.3390/su11020497
  • Numan, U., Ma, B., Meo, M. S., ve Bedru, H. D. (2022). Revisiting the N-shaped environmental Kuznets curve for economic complexity and ecological footprint. Journal of Cleaner Production, 365, 132642. https://doi.org/10.1016/j.jclepro.2022.132642.
  • Oluç, İ. (2023). Enerji Yoğunluğu ve Ekonomik Kompleksitenin Karbon Ayak İzi Üzerindeki Etkisi: Türkiye İçin Çevresel Kuznets Eğrisi Hipotezinin Yeniden Gözden Geçirilmesi, Makro Boyutlarıyla Çevre Ekonomisi, Özgür Yayınları.
  • Özbek, S., ve Naimoğlu, M. (2022). Çevre kalitesi-ekonomik karmaşıklık ilişkisi: Türkiye ekonomisi üzerine fourier eşbütünleşme analizi. İstanbul İktisat Dergisi, 72(1), 407-431. https://doi.org/10.26650/ISTJECON2022-1061837.
  • Özkan, O., Obekpa, H. O., ve Alola, A. A. (2023). Examining the nexus of energy intensity, renewables, natural resources, and carbon intensity in India. Energy ve Environment, 0958305X231169706. https://doi.org/10.1177/0958305X231169706.
  • Parks, B. C., ve Roberts, J. T. (2010). Climate change, social theory and justice. Theory, Culture ve Society, 27(2-3), 134-166. https://doi.org/10.1177/0263276409359018.
  • Pata, U. K. (2021). Renewable and non-renewable energy consumption, economic complexity, CO 2 emissions, and ecological footprint in the USA: testing the EKC hypothesis with a structural break. Environmental science and pollution research, 28, 846-861. https://doi.org/10.1007/s11356-020-10446-3.
  • Pesaran, M. H., Shin, Y., ve 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.
  • Romero, J. P., ve Gramkow, C. (2021). Economic complexity and greenhouse gas emissions. World Development, 139, 105317. https://doi.org/10.1016/j.worlddev.2020.105317.
  • Shahbaz, M., Solarin, S. A., Sbia, R., ve Bibi, S. (2015). Does energy intensity contribute to CO2 emissions? A trivariate analysis in selected African countries. Ecological indicators, 50, 215-224. https://doi.org/10.1016/j.ecolind.2014.11.007.
  • Sharif, M., ve Khan, F. N. (2024). Unraveling the dynamic nexus between economic complexity, renewable energy consumption, energy imports, and environmental quality in Pakistan. Environment, Development and Sustainability, 1-31. https://doi.org/10.1007/s10668-024-05149-5.
  • Solarin, S. A. (2014). Convergence of CO2 emission levels: evidence from African countries. Journal of Economic Research, 19(1), 65-92.
  • Stojkoski, V., Koch, P., ve Hidalgo, C. A. (2023). Multidimensional Economic Complexity And Inclusive Green Growth. Communications Earth & Environment, 4(1), 130. https://doi.org/10.1038/s43247-023-00770-0.
  • Taghvaee, V. M., Nodehi, M., ve Saboori, B. (2022). Economic complexity and CO2 emissions in OECD countries: sector-wise Environmental Kuznets Curve hypothesis. Environmental Science and Pollution Research, 29(53), 80860-80870. https://doi.org/10.1007/s11356-022-21491-5.
  • Tchouto, J. E. T. (2023). An empirical assessment on the leveraging evidence of economic complexity under environmental kuznets curve hypothesis: A comparative analysis between Nordic and Non-Nordic European countries. Innovation and Green Development, 2(4), 100074. https://doi.org/10.1016/j.igd.2023.100074.
  • Tekbaş, M., ve Tutumlu, H. (2023). Ekonomik Büyüme, Ekonomik Karmaşıklık, Yenilenebilir Enerji Tüketimi Ve Co2 Emisyonu İlişkisi: Türkiye Örneği. Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi, 11(2), 124-141. https://doi.org/10.54429/seyad.1311540.
  • Ullah, A., Khan, S., Khamjalas, K., Ahmad, M., Hassan, A., ve Uddin, I. (2023). Environmental regulation, renewable electricity, industrialization, economic complexity, technological innovation, and sustainable environment: testing the N-shaped EKC hypothesis for the G-10 economies. Environmental Science and Pollution Research, 30 (44), 99713-99734. https://doi.org/10.1007/s11356-023-29188-z
  • Ulucak, R., Danish, Zhang, Y., Chen, R., ve Qiu, Y. (2024). Income inequality, economic complexity, and renewable energy impacts in controlling consumption-based carbon emissions. Evaluation Review, 48(1), 119-142. https://doi.org/10.1177/0193841X231173766
  • UNFCCC, C. (2015). Paris Agreement. United Nations.
  • Wang, F., ve Yang, G. (2024). Towards zero-carbon cities: how does environmental information disclosure impact the risk of carbon locking?. Environmental Science and Pollution Research, 1-20. https://doi.org/10.1007/s11356-024-33155-7.
  • Yilanci, V., ve Pata, U. K. (2020). Investigating the EKC hypothesis for China: the role of economic complexity on ecological footprint. Environmental Science and Pollution Research, 27(26), 32683-32694. https://doi.org/10.1007/s11356-020-09434-4.
Toplam 57 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sürdürülebilir Kalkınma
Bölüm Araştırma Makaleleri
Yazarlar

Canan Şentürk 0000-0001-7714-844X

Erken Görünüm Tarihi 20 Ekim 2025
Yayımlanma Tarihi 27 Ekim 2025
Gönderilme Tarihi 11 Ekim 2024
Kabul Tarihi 19 Ağustos 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 10 Sayı: 3

Kaynak Göster

APA Şentürk, C. (2025). Ekonomik Karmaşıklık ve Enerji Yoğunluğu Karbon Emisyonlarını Nasıl Etkiliyor? Çevresel Kuznets Eğrisi Yaklaşımına Dayalı Bir Model Uyarlaması. Bulletin of Economic Theory and Analysis, 10(3), 1263-1294. https://doi.org/10.25229/beta.1565340

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