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Journals / Uluslararası Anadolu Sosyal Bilimler Dergisi / 2026 / Cilt: 10 Sayı: 3

THE NEXUS BETWEEN INCOME INEQUALITY AND CO2 EMISSIONS: EMPIRICAL EVIDENCE FROM TÜRKİYE

GELİR EŞİTSİZLİĞİ İLE CO₂ EMİSYONLARI ARASINDAKİ BAĞLANTI: TÜRKİYE’DEN AMPİRİK KANITLAR

Ahmet Oğuz Akgüneş(KIRKLARELİ ÜNİVERSİTESİ)0000-0003-3852-9332
Furkan Yıldız(KIRKLARELİ ÜNİVERSİTESİ)0000-0003-1533-222X
Pages
631–644
Publication Date
2026-09-30
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AI Summary & Key Takeaways

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

The bounds-test results indicate a long-run cointegrating relationship among the variables.

📌 3 Key Takeaways

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Objective & Hypothesis:This study examines the short- and long-run relationships among per-capita CO₂ emissions, per-capita income, income inequality, foreign direct investment (FDI), financial development, and trade openness in Türkiye from 1975 to 2022.
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Key Findings & Data:The long-run estimates show that per-capita income and income inequality have positive and statistically significant effects on CO₂ emissions.
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Conclusion & Impact:The bounds-test results indicate a long-run cointegrating relationship among the variables.
🔬Design:Araştırma Makalesi
📍Scope:2022 Verileri
⚙️Variables:CO₂ Emisyonları · Gelir Eşitsizliği · Doğrudan Yabancı Yatırım

Abstract

This study examines the short- and long-run relationships among per-capita CO₂ emissions, per-capita income, income inequality, foreign direct investment (FDI), financial development, and trade openness in Türkiye from 1975 to 2022. The study analyzes these relationships using the Autoregressive Distributed Lag (ARDL) bounds-testing approach. The bounds-test results indicate a long-run cointegrating relationship among the variables. The long-run estimates show that per-capita income and income inequality have positive and statistically significant effects on CO₂ emissions. The long-run FDI coefficient is positive but statistically significant only at the 10% level, whereas the long-run coefficients on financial development and trade openness are not statistically significant. In the short run, income growth increases emissions. The error-correction coefficient indicates that approximately 38.7% of the previous period’s disequilibrium is corrected within one year. The Granger-causality results indicate a bidirectional predictive relationship between income and emissions. Overall, the findings underscore the importance of incorporating income distribution and social justice considerations into environmental and macroeconomic policy design.

Özet

Bu çalışma, Türkiye’de 1975–2022 döneminde kişi başına CO₂ emisyonları, kişi başına gelir, gelir eşitsizliği, doğrudan yabancı yatırımlar, finansal gelişme ve ticari açıklık arasındaki kısa ve uzun dönemli ilişkileri incelemektedir. Değişkenler arasındaki ilişkiler, Otoregresif Dağıtılmış Gecikme (ARDL) sınır testi yaklaşımı kullanılarak analiz edilmiştir. Sınır testi sonuçları, değişkenler arasında uzun dönemli bir eşbütünleşme ilişkisinin bulunduğunu göstermektedir. Uzun dönem tahminleri, kişi başına gelir ile gelir eşitsizliğinin CO₂ emisyonları üzerinde pozitif ve istatistiksel olarak anlamlı etkileri olduğunu ortaya koymaktadır. Doğrudan yabancı yatırımların uzun dönem katsayısı pozitif olmakla birlikte yalnızca %10 anlamlılık düzeyinde istatistiksel olarak anlamlıdır; finansal gelişme ve ticari açıklığın uzun dönem katsayıları ise istatistiksel olarak anlamlı değildir. Kısa dönemde gelir artışı emisyonları artırmaktadır. Hata düzeltme katsayısı, önceki dönemde oluşan dengesizliğin yaklaşık %38,7’sinin bir yıl içinde giderildiğini göstermektedir. Granger nedensellik sonuçları, gelir ile emisyonlar arasında iki yönlü bir öngörü ilişkisine işaret etmektedir. Bulgular, çevre ve makroekonomi politikalarının tasarımında gelir dağılımı ve sosyal adalet boyutlarının bütüncül bir yaklaşımla ele alınmasının önemini vurgulamaktadır.

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Cite This Article

Akgüneş, A. O., Yıldız, F. (2026). THE NEXUS BETWEEN INCOME INEQUALITY AND CO2 EMISSIONS: EMPIRICAL EVIDENCE FROM TÜRKİYE. Uluslararası Anadolu Sosyal Bilimler Dergisi, Cilt: 10 Sayı: 3, 631–644. https://doi.org/10.47525/ulasbid.2001641

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References (40)

  1. Boutabba, M. A. (2014). The impact of financial development, income, energy and trade on carbon emissions: Evidence from the Indian economy. Economic Modelling, 40:33-41, https://doi.org/10.1016/j.econmod.2014.03.005
  2. Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society: Series B (Methodological), 37(2):149–192.
  3. Cole, M. A., Elliott, R. J. R., & Shimamoto, K. (2005). Why the grass is not always greener: The competing effects of environmental regulations and factor intensities on US specialization. Ecological Economics, 51(1): 95–109. https://doi.org/10.1016/j.ecolecon.2004.11.014
  4. Copeland, B. R., & Taylor, M. S. (2004). Trade, growth, and the environment. Journal of Economic Literature, 42(1):7–71. https://doi.org/10.1257/002205104773558047
  5. Demir, C., Cergibozan, R., & Gök, A. (2019). Income inequality and CO2 emissions: Empirical evidence from Turkey. Energy and Environment, 30(3): 444–461. https://doi.org/10.1177/0958305X18793109
  6. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a): 427–431. https://doi.org/10.1080/01621459.1979.10482531
  7. Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2): 251-276.
  8. Eskeland, G. S., & Harrison, A. E. (2003). Moving to greener pastures? Multinationals and pollution haven hypothesis. Journal of Development Economics, 70(1): 1–23.
  9. Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3): 424–438.
  10. Grossman, G. M., & Krueger, A. B. (1995). Economic growth and the environment. The Quarterly Journal of Economics, 110(2): 353–377.
  11. Hailemariam, A., Dzhumashev, R., & Shahbaz, M. (2020). Carbon emissions, income inequality and economic development. Empirical Economics, 59: 1139–1159. https://doi.org/10.1007/s00181-019-01664-x
  12. Halicioglu, F. (2009). An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy, 37(3): 1156–1164. https://doi.org/10.1016/j.enpol.2008.11.012
  13. Heerink, N., Mulatu, A., & Bulte, E. (2001). Aggregation bias and the environmental Kuznets curve: Income inequality and the environment. Ecological Economics, 38(3): 359–367. https://doi.org/10.1016/S0921-8009(01)00171-9
  14. Holtz-Eakin, D., & Selden, T. M. (1995). Stoking the fires? CO2 emissions and economic growth. Journal of Public Economics, 57(1): 85–101. https://doi.org/10.1016/0047-2727(94)01449-X
  15. Jalil, A., & Feridun, M. (2011). The impact of growth, energy and financial development on the environment in China: A cointegration analysis. Energy Economics, 33: 284-291.
  16. Jorgenson, A., Schor, J., & Huang, X. (2017). Income inequality and carbon emissions in the United States: A state-level analysis, 1997–2012. Ecological Economics, 134: 40–48. https://doi.org/10.1016/j.ecolecon.2016.12.016
  17. Khan, A. Q., Saleem, N., & Fatima, S. T. (2018). Financial development, income inequality, and CO2 emissions in Asian countries using STIRPAT model. Environmental Science and Pollution Research, 25: 6308–6319.
  18. Magnani, E. (2000). The environmental Kuznets curve, environmental protection policy and income distribution. Ecological Economics, 32(3): 431–443. https://doi.org/10.1016/S0921-8009(99)00115-9
  19. Ozturk, I., & Acaravci, A. (2010). CO2 emissions, energy consumption and economic growth in Turkey. Renewable and Sustainable Energy Reviews, 14(9): 3220–3225.
  20. Ozturk, I., & Acaravci, A. (2013). The long-run and causal analysis of energy, growth, openness and financial development on carbon emissions in Turkey. Energy Economics, 36: 262–267.
  21. Ozturk, S., Cetin, M. & Demir, H. (2022). Income inequality and CO2 emissions: Nonlinear evidence from Turkey. Environment, Development and Sustainability, 24: 11911-11928. https://doi.org/10.1007/s10668-021-01922-y
  22. Pata, U. K. (2018). Renewable energy consumption, urbanization, financial development, income and CO2 emissions in Turkey: Testing EKC hypothesis with structural breaks. Journal of Cleaner Production, 187: 770-779.
  23. 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.
  24. Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2): 335–346. https://doi.org/10.1093/biomet/75.2.335
  25. Ravallion, M., Heil, M. and Jalan, J. (2000). Carbon emissions and income inequality. Oxford Economic Papers, 52(4): 651–669.
  26. Sadorsky, P. (2010). The impact of financial development on energy consumption in emerging economies. Energy Policy, 38(5): 2528-2535.
  27. Scruggs, L. A. (1998). Political and economic inequality and the environment. Ecological Economics, 26(3): 259–275.
  28. Seker, F., Ertugrul, H. M., & Cetin, M. (2015). The impact of foreign direct investment on environmental quality: A bounds testing and causality analysis for Turkey. Renewable and Sustainable Energy Reviews, 52: 347–356. https://doi.org/10.1016/j.rser.2015.07.118
  29. Shafik, N., & Bandyopadhyay, S. (1992). Economic growth and environmental quality: Time-series and cross-country evidence. Policy Research Working Paper, No. 904, World Bank.
  30. Solt, F. (2020). Measuring income inequality across countries and over time: The Standardized World Income Inequality Database. Social Science Quarterly, 101(3): 1183–1199. https://doi.org/10.1111/ssqu.12795
  31. Stern, D. I. (2004). The rise and fall of the environmental Kuznets curve. World Development, 32(8): 1419–1439. https://doi.org/10.1016/j.worlddev.2004.03.004
  32. Tamazian, A., Chousa, J. P., & Vadlamannati, K. C. (2009). Does higher economic and financial development lead to environmental degradation: Evidence from BRIC countries. Energy Policy, 37(1): 246–253. https://doi.org/10.1016/j.enpol.2008.08.025
  33. 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)01616-8
  34. Torras, M., & Boyce, J. K. (1998). Income, inequality, and pollution: A reassessment of the environmental Kuznets curve. Ecological Economics, 25(2): 147–160.
  35. UNU-WIDER. (n.d.). World Income Inequality Database (WIID).
  36. Uzar, U., & Eyuboglu, K. (2019). The nexus between income inequality and CO2 emissions in Turkey. Journal of Cleaner Production, 227, 149-157. https://doi.org/10.1016/j.jclepro.2019.04.169
  37. Wolde-Rufael, Y., & Idowu, S. O. (2017). Income distribution and CO2 emission: A comparative analysis for China and India. Renewable and Sustainable Energy Reviews, 74: 1336–1345.
  38. World Bank. (n.d.). World Development Indicators (WDI).
  39. Wu, R., & Xie, Z. (2020). Identifying the impacts of income inequality on CO2 emissions: Empirical evidences from OECD countries and non-OECD countries. Journal of Cleaner Production, 277: 123858. https://doi.org/10.1016/j.jclepro.2020.123858
  40. Xie, Q., Wang, X., & Cong, X. (2020). How does foreign direct investment affect CO2 emissions in emerging countries? New findings from a nonlinear panel analysis. Journal of Cleaner Production, 249: 119422. https://doi.org/10.1016/j.jclepro.2019.119422