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Journals / Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2025 / Sayı: Sayı:71 (EYS'25 Özel Sayısı) Özel Sayı

THE RELATIONSHIP BETWEEN ECONOMIC COMPLEXITY AND CARBON DIOXIDE EMISSIONS: EMPIRICIAL FINDINGS FROM HIGH-EMISSION COUNTRIES

EKONOMİK KARMAŞIKLIK VE KARBONDİOKSİT EMİSYONU ARASINDAKİ İLİŞKİ: YÜKSEK EMİSYONLU ÜLKELERDEN AMPİRİK BULGULAR

Hasan Tahsin Yöyen(KARAMANOGLU MEHMETBEY UNIVERSITY, KAZIM KARABEKİR VOCATIONAL SCHOOL)0000-0003-1019-0453
Pages
93–110
Publication Date
2025-12-29
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Policymakers should prioritize improving energy efficiency and accelerating the energy transition in highly complex sectors.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A precise understanding of the environmental impacts of the economic structures of high-emission countries is of great importance for policies aimed at addressing global warming.
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Key Findings & Data:This study examines the relationship between economic complexity, fossil fuel consumption, and CO2 emissions in a sample of the ten countries with the highest CO2 emissions in 2023.
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Conclusion & Impact:Policymakers should prioritize improving energy efficiency and accelerating the energy transition in highly complex sectors.
🔬Design:Araştırma Makalesi
📍Scope:2023 Verileri
⚙️Variables:Ekonomik karmaşıklık · Karbondioksit emisyonu · Panel veri analizi

Abstract

A precise understanding of the environmental impacts of the economic structures of high-emission countries is of great importance for policies aimed at addressing global warming. This study examines the relationship between economic complexity, fossil fuel consumption, and CO2 emissions in a sample of the ten countries with the highest CO2 emissions in 2023. In the panel data analysis covering the period 1995-2022, the panel unit root test developed by Pesaran (2007), which accounts for cross-sectional dependence, was applied, considering the findings of cross-sectional dependence and slope heterogeneity, and it was determined that the series were stationary in the first difference (I(1)). According to the Westerlund (2007) cointegration test, there is no long-term relationship between the variables. The findings obtained from the Interactive Fixed Effects estimator developed by Bai (2009), which accounts for unobservable common factors, indicate that economic complexity has a statistically significant and positive effect on CO₂ emissions in the short run. The analysis also confirms the emissions-increasing effect of fossil fuel consumption. Therefore, the study supports the view that investments in renewable energy should be expanded. Policymakers should prioritize improving energy efficiency and accelerating the energy transition in highly complex sectors.

Özet

Yüksek emisyona sahip ülkelerin ekonomik yapılarının çevresel etkilerinin doğru anlaşılması, küresel ısınmanın çözümüne yönelik politikalar için büyük önem taşır. Bu çalışma, 2023 yılında en yüksek CO2 emisyonuna sahip on ülke örnekleminde ekonomik karmaşıklık ve fosil yakıt tüketimi ile CO2 emisyonları arasındaki ilişkiyi incelemektedir. 1995-2022 döneminin ele alındığı panel veri analizinde, yatay kesit bağımlılığı ve eğim heterojenliği bulguları dikkate alınarak Pesaran’ın (2007) geliştirdiği yatay kesit bağımlılığını dikkate alan panel birim kök testi uygulanmış ve serilerin birinci farkta durağanlaştığı (I(1)) tespit edilmiştir. Bu doğrultuda gerçekleştirilen Westerlund (2007) eşbütünleşme testine göre değişkenler arasında uzun dönemli bir ilişki yoktur. Bai (2009) tarafından geliştirilen ve gözlemlenemeyen ortak faktörleri hesaba katan İnteraktif Sabit Etkiler tahmincisinden elde edilen bulgular ise kısa vadede ekonomik karmaşıklığın, CO2 emisyonları üzerinde istatistiksel olarak anlamlı ve pozitif bir etkiye sahip olduğunu göstermektedir. Analizde fosil yakıt tüketiminin emisyonları arttırıcı etkisi doğrulanmıştır. Dolayısıyla çalışma, yenilenebilir enerji yatırımlarının arttırılması görüşünü desteklemektedir. Politika yapıcılar karmaşık sektörlerde enerji verimliliğini arttırma ve enerji dönüşümünü hızlandırmaya odaklanmalıdır.

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Cite This Article

Yöyen, H. T. (2025). THE RELATIONSHIP BETWEEN ECONOMIC COMPLEXITY AND CARBON DIOXIDE EMISSIONS: EMPIRICIAL FINDINGS FROM HIGH-EMISSION COUNTRIES. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Sayı: Sayı:71 (EYS'25 Özel Sayısı) Özel Sayı, 93–110. https://doi.org/10.30794/pausbed.1794936

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References (72)

  1. Abbasi, K. R., Lv, K., Radulescu, M., ve Shaikh, P. A. (2021). Economic complexity, tourism, energy prices, and environmental degradation in the top economic complexity countries: Fresh panel evidence. Environmental Science and Pollution Research, 28(48), 68717–68731. https://doi.org/10.1007/s11356-021-15312-4
  2. Adebayo, T. S., Altuntaş, M., Goyibnazarov, S., Agyekum, E. B., Zawbaa, H. M., ve Kamel, S. (2022). Dynamic effect of disintegrated energy consumption and economic complexity on environmental degradation in top economic complexity economies. Energy Reports, 8, 12832–12842. https://doi.org/10.1016/j.egyr.2022.09.161
  3. Adebayo, T. S., Rjoub, H., Akadiri, S. S., Oladipupo, S. D., Sharif, A., ve Adeshola, I. (2021). 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
  4. Akiş, E., ve Soyyiğit, S. (2020). Ekonomik karmaşıklık düzeyi ve CO2 emisyonu arasındaki ilişkinin analizi: ASEAN ülkeleri örneği. Yönetim Bilimleri Dergisi, 18(38), 865–885. https://doi.org/10.35408/comuybd.688354
  5. Al-Ayouty, I. (2024). Economic complexity and renewable energy effects on carbon dioxide emissions: A panel data analysis of Middle East and North Africa countries. Journal of the Knowledge Economy, 15(3), 12006–12025. https://doi.org/10.1007/s13132-023-01540-1
  6. Ali, M., ve Seraj, M. (2022). Nexus between energy consumption and carbon dioxide emission: evidence from 10 highest fossil fuel and 10 highest renewable energy-using economies. Environmental Science and Pollution Research, 29(58), 87901–87922. https://doi.org/10.1007/s11356-022-21900-9
  7. Aluko, O. A., Opoku, E. E. O., ve Acheampong, A. O. (2022). Economic complexity and environmental degradation: Evidence from OECD countries. Business Strategy and the Environment, 32(6), 2767–2788. https://doi.org/10.1002/bse.3269
  8. Arslan, A., Qayyum, A., Tabash, M. I., Nair, K., AsadUllah, M., ve Daniel, L. N. (2023). The impact of economic complexity, usage of energy, tourism, and economic growth on carbon emissions: Empirical evidence of 102 countries. International Journal of Energy Economics and Policy, 13(5), 315–324. https://doi.org/10.32479/ijeep.14746
  9. Atılgan, D. (2025). Doğal kaynak rantı, ekonomik karmaşıklık ve ekonomik büyümenin çevresel sürdürülebilirlik üzerindeki etkisi. Yönetim ve Ekonomi Dergisi, 32(2), 207–224. https://doi.org/10.18657/yonveek.1538023
  10. Bai, J. (2009). Panel data models with interactive fixed effects. Econometrica, 77(4), 1229–1279. https://doi.org/10.3982/ecta6135
  11. 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
  12. Balsalobre-Lorente, D., Parente, C. C. D. S., 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
  13. Boleti, E., Garas, A., Kyriakou, A., ve Lapatinas, A. (2021). Economic complexity and environmental performance: evidence from a world sample. Environmental Modeling & Assessment, 26(3), 251–270. https://doi.org/10.1007/s10666-021-09750-0
  14. Breusch, T. S., ve Pagan, A. R. (1980). The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics. The Review of Economic Studies, 47(1), 239. https://doi.org/10.2307/2297111
  15. Bucak, Ç. (2021). AB15 ülkelerinde ve Türkiye’de ekonomik karmaşıklık endeksi, insani gelişme endeksi ve karbon emisyonu: Panel veri analizi. Ege Stratejik Araştırmalar Dergisi, 12(1), 71–88. https://doi.org/10.18354/esam.763411
  16. Bucak, Ç. (2022). The relationship between economic complexity and ecological footprint in G8 countries and Turkey: Toda-Yamamoto causality test analysis. Sosyal Ekonomik Araştırmalar Dergisi, 22(1), 1–16. https://doi.org/10.30976/susead.999109
  17. Chu, L. K. (2021). Economic structure and environmental Kuznets curve hypothesis: New evidence from economic complexity. Applied Economics Letters, 28(7), 612–616. https://doi.org/10.1080/13504851.2020.1767280
  18. Çağlar, A. E., Zafar, M. W., Bekun, F. V., ve Mert, M. (2022). Determinants of CO2 emissions in the BRICS economies: The role of partnerships investment in energy and economic complexity. Sustainable Energy Technologies and Assessments, 51, 101907. https://doi.org/10.1016/j.seta.2021.101907
  19. Çoban, M. N., Yeter, F., ve Kangal, N. (2022). Ekonomik kompleksite ve çevresel bozulma ilişkisi: Arktik Konseyi ülkeleri üzerine ekonometrik bir analiz. Uluslararası Batı Karadeniz Sosyal ve Beşeri Bilimler Dergisi, 6(2), 264–279. https://doi.org/10.46452/baksoder.1208045
  20. Demiral, M., ve Akça, E. E. (2022). Economic complexity–carbonization nexus in the European Union: A heterogeneous panel data analysis. Energy Sources Part B: Economics Planning and Policy, 17(1). https://doi.org/10.1080/15567249.2022.2046210
  21. Doğan, B., Driha, O. M., Lorente, D. B., ve Shahzad, U. (2021). The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries. Sustainable Development, 29(1), 1–12. https://doi.org/10.1002/sd.2125
  22. Durusoy, Ö. T. (2024). Gelişmiş ve gelişmekte olan ülkelerde ekonomik karmaşıklık (complexity) i̇le çevresel bozulma arasındaki i̇lişki: 2003-2023 yılları i̇çin panel veri analizi. Politik Ekonomik Kuram. https://doi.org/10.30586/pek.1503635
  23. 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
  24. European Commission Joint Research Center. (2024). GHG emissions of all world countries – 2024. Emissions Database for Global Atmospheric Research (EDGAR). https://edgar.jrc.ec.europa.eu/report_2024
  25. Hausmann, R., Hidalgo, C. A., Bustos, S., Coscia, M., Simoes, A., ve Yıldırım, M. A. (2013). The Atlas of Economic Complexity: Mapping Paths to Prosperity. MIT Press. https://doi.org/10.7551/mitpress/9647.001.0001
  26. He, K., Ramzan, M., Awosusi, A. A., Ahmed, Z., Ahmad, M., ve Altuntaş, M. (2021). Does globalization moderate the effect of economic complexity on CO2 emissions? Evidence from the Top 10 energy transition economies. Frontiers in Environmental Science, 9. https://doi.org/10.3389/fenvs.2021.778088
  27. Hidalgo, C. A., ve Hausmann, R. (2009). The building blocks of economic complexity, Proceedings of the National Academy of Sciences (PNAS), 106(26), 10570–10575. https://doi.org/10.1073/pnas.0900943106 https://www.jstor.org/stable/j.ctt5hhcfr
  28. Im, K. S., Pesaran, M. H., ve 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
  29. Irwin, J. R., ve McClelland, G. H. (2001). Misleading heuristics and moderated multiple regression models. Journal of Marketing Research, 38(1), 100-109.
  30. Karimzadeh, M., Delgarm, A., Sasouli, M. R., ve Eidouzehi, E. T. (2023). Effect of economic complexity on CO2 emission: A selection of Shanghai Cooperation Organization member countries. Polish Journal of Environmental Studies. https://doi.org/10.15244/pjoes/168428
  31. 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
  32. Kuznets, S. (1955). “Economic growth and income inequality”, The American Economic Review, 45(1), 1–28. https://www.jstor.org/stable/1811581
  33. Laverde-Rojas, H., ve Correa, J. C. (2021). Economic complexity, economic growth, and CO2 emissions: A panel data analysis. International Economic Journal, 35(4), 411–433. https://doi.org/10.1080/10168737.2021.1975303
  34. Leitão, N. C., Balsalobre-Lorente, D., ve Cantos-Cantos, J. M. (2021). The impact of renewable energy and economic complexity on carbon emissions in BRICS countries under the EKC scheme. Energies, 14(16), 4908. https://doi.org/10.3390/en14164908
  35. Liu, C., ve Liu, T. (2023). Fossil fuel, greenhouse gas and global warming. Global Journal of Science Frontier Research, 23(4). https://doi.org/10.34257/gjsfrhvol23is4pg21
  36. Lybbert, T., ve Xu, M. (2021). “Innovation‐adjusted economic complexity and growth: do patent flows reveal enhanced economic capabilities?”, Review of Development Economics, 26(1), 442-483. https://doi.org/10.1111/rode.12816
  37. Martins, J. M., Adebayo, T. S., Mata, M. N., Oladipupo, S. D., Adeshola, I., Ahmed, Z., ve Correia, A. B. (2021). Modeling the relationship between economic complexity and environmental degradation: Evidence from Top seven economic complexity countries. Frontiers in Environmental Science, 9. https://doi.org/10.3389/fenvs.2021.744781
  38. Martins, T., Barreto, A. C., Souza, F. M., ve Souza, A. M. (2021). Fossil fuels consumption and carbon dioxide emissions in G7 countries: Empirical evidence from ARDL bounds testing approach. Environmental Pollution, 291, 118093. https://doi.org/10.1016/j.envpol.2021.118093
  39. Naimoğlu, M., ve Akal, M. (2024). Relationship between economic complexity, globalization, energy sources and environmental sustainability. Politická Ekonomie, 72(6), 985–1013. https://doi.org/10.18267/j.polek.1446
  40. Nan, S., Huo, Y., You, W., ve Guo, Y. (2022). Globalization spatial spillover effects and carbon emissions: What is the role of economic complexity? Energy Economics, 112, 106184. https://doi.org/10.1016/j.eneco.2022.106184
  41. 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
  42. Neagu, O. (2020). Economic complexity and ecological footprint: Evidence from the most complex economies in the world. Sustainability, 12(21), 9031. https://doi.org/10.3390/su12219031
  43. 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
  44. Nguyen, C. P., ve Doytch, N. (2022). Does knowledge matter for the environment? Global evidence of economic complexity and ecological footprints. Environmental Science and Pollution Research, 29(54), 82122–82139. https://doi.org/10.1007/s11356-022-21547-6
  45. Osinubi, T. T. (2024). Does economic complexity influence carbon emissions? Evidence from Next Eleven countries. Economics and Culture, 21(1), 64–76. https://doi.org/10.2478/jec-2024-0005
  46. Özbek, S., ve Naimoğlu, M. (2022). Çevre kalitesi-ekonomik karmaşıklık Iilişkisi: Türkiye Ekonomisi üzerine Fourier eşbütünleşme analizi. Istanbul Journal of Economics / İstanbul İktisat Dergisi, 72(1), 407–431. https://doi.org/10.26650/istjecon2022-1061837
  47. Peng, G., Meng, F., Ahmed, Z., Ahmad, M., ve Kurbonov, K. (2022). Economic growth, technology, and CO2 emissions in BRICS: Investigating the non-linear impacts of economic complexity. Environmental Science and Pollution Research, 29(45), 68051–68062. https://doi.org/10.1007/s11356-022-20647-7
  48. Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.572504
  49. 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. https://doi.org/10.1002/jae.951
  50. Pesaran, M. H., ve Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93. https://doi.org/10.1016/j.jeconom.2007.05.010
  51. Ren, Y., Mo, Y., ve You, W. (2024). Economic complexity, CO 2 emissions, and the mediating roles of energy structure and energy efficiency: a spatial panel analysis. Applied Economics, 1–15. https://doi.org/10.1080/00036846.2024.2302930
  52. Romero, J. P., ve Gramkow, C. (2020). Economic complexity and greenhouse gas emission intensity. Cambridge Centre for Economic and Public Policy. https://www.landecon.cam.ac.uk/sites/default/files/2023-03/cceppwp032020.pdf
  53. 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
  54. Rothman, D. S., ve De Bruyn, S. M. (1998). “Probing into the environmental Kuznets curve hypothesis”, Ecological Economics, 25(2), 143-145. https://doi.org/10.1016/S0921-8009(97)00183-3
  55. Sajid, S., Abas, A., Hassan, S. S. U., ve Arooj, M. (2024). The interaction of institutional quality, economic complexity, and carbon dioxide emission: an empirical examination for China and Pakistan. Sustainable Futures, 7, 100222. https://doi.org/10.1016/j.sftr.2024.100222
  56. Shah, M. H., De Chun, H., Wang, Y., Ullah, I., Hassan, S. T., ve Fareed, Z. (2023). Analyzing nexus between economic complexity, renewable energy, and environmental quality in Japan: A new evidence from QARDL approach. International Journal of Energy Research, 2023, 1–14. https://doi.org/10.1155/2023/1683231
  57. Swamy, P. a. V. B. (1970). Efficient inference in a random coefficient regression model. Econometrica, 38(2), 311. https://doi.org/10.2307/1913012
  58. Tabash, M. I., Farooq, U., Aljughaiman, A. A., Wong, W., ve AsadUllah, M. (2024). Does economic complexity help in achieving environmental sustainability? New empirical evidence from N-11 countries. Heliyon, 10(11), e31794. https://doi.org/10.1016/j.heliyon.2024.e31794
  59. 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
  60. Tekbaş, M., ve Tutumlu, H. (2023). Ekonomik büyüme, ekonomik karmaşıklık, yenilenebilir enerji tüketimi ve CO2 emisyonu ilişkisi: Türkiye örneği.Siyaset Ekonomi ve Yönteim Araştırmaları Dergisi. https://doi.org/10.54429/seyad.1311540
  61. Türköz, K. (2025). Türkiye’de ekonomik karmaşıklık, insani gelişme ve çevresel bozulma arasındaki bağlantı: QARDL yaklaşımından yeni kanıtlar. İzmir İktisat Dergisi, 40(1), 132–150. https://doi.org/10.24988/ije.1491716
  62. Ugur, M. S., Çatık, A. N., Sigeze, C., ve Balli, E. (2023). Time-varying impact of income and fossil fuel consumption on CO2 emissions in India. Environmental Science and Pollution Research, 30(58), 121960–121982. https://doi.org/10.1007/s11356-023-30806-z
  63. United Nations. (t.y.-a). United Nations Conference on the Human Environment (Stockholm, 1972). https://www.un.org/en/conferences/environment/stockholm1972
  64. United Nations. (t.y.-b). The Paris Agreement.https://www.un.org/en/climatechange/paris-agreement
  65. United Nations. (t.y.-c). United Nations Summit on Sustainable Development, New York, 25–27 September 2015. https://www.un.org/en/conferences/environment/newyork2015
  66. Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
  67. Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data, second edition. MIT Press.
  68. World Bank. (2025). World Development Indicators. https://databank.worldbank.org/source/world-development-indicators
  69. Yağış, O. (2024). Ekonomik karmaşıklığın ekolojik ayak i̇zine etkisi var mı? ASEAN 5 ülkelerinden yeni kanıtlar. Iğdır Üniversitesi Sosyal Bilimler Dergisi. https://doi.org/10.54600/igdirsosbilder.1384348
  70. Yılancı, 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
  71. Yu, J., Ju, F., Wahab, M., Agyekum, E. B., Matasane, C., ve Uhunamure, S. E. (2022). Estimating the effects of economic complexity and technological innovations on CO2 emissions: Policy instruments for N-11 countries. Sustainability, 14(24), 16856. https://doi.org/10.3390/su142416856
  72. Zengin Taşdemir, S., ve Topcu, E. (2024). Ekonomik karmaşıklık ve çevre: AB ülkeleri örneği. Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 14(28), 627-641.