Research Article
BibTex RIS Cite

THE IMPACT OF GEOPOLITICAL RISK, TRADE DEFICIT, AND ENERGY CONSUMPTION ON CARBON EMISSIONS: THE CASE OF TURKEY

Year 2025, Volume: 9 Issue: 2, 72 - 89, 21.10.2025

Abstract

This paper examines the key determinants of carbon emissions in Turkey using data from the period 1995–2023. The primary objective is to reveal the impacts of the geopolitical risk index, trade openness, energy consumption, and income levels on emissions. To jointly assess the short- and long-run relationships, the ARDL approach is employed. The findings indicate that electricity consumption increases emissions in both the short and long run, while income contributes to emission growth, particularly in the long run. The trade deficit exhibits a complex relationship, showing both mitigating and aggravating effects in different periods. Geopolitical risk has a limited direct impact on emissions and does not play as pronounced a role as energy and trade channels. The results emphasize the importance of reducing the carbon intensity of energy production and consumption, implementing energy efficiency policies, and adopting low-carbon strategies in foreign trade to mitigate emissions. Furthermore, the design of energy security policies should take into account the potential influence of geopolitical uncertainties.

References

  • Adebayo, T. S., Saint Akadiri, S., Riti, J. S., & Odu, A. T. (2023). Interaction among geopolitical risk, trade openness, economic growth, carbon emissions and its implication on climate change in India. Energy & Environment, 34(5), 1305–1326. https://doi.org/10.1177/0958305X221083236
  • Adedoyin, F. F., Adams, S., 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
  • Anser, M. K., Syed, Q. R., Lean, H. H., Alola, A. A., & Ahmad, M. (2021a). Do economic policy uncertainty and geopolitical risk lead to environmental degradation? Evidence from emerging economies. Sustainability, 13(11), 5866. https://doi.org/10.3390/su13115866
  • Anser, M. K., Yousaf, Z., Khan, M. A., Zaman, K., & Nassani, A. A. (2021b). Does geopolitical risk escalate CO₂ emissions? Evidence from the BRICS countries. Environmental Science and Pollution Research, 28(35), 48011–48021. https://doi.org/10.1007/s11356.021.14032-z
  • Aydın, Ş., Öztutuş, F., & Polat, İ. H. (2024). The impact of financial development, foreign direct investment and geopolitical risk on CO₂ emissions: Evidence from Turkey. Fiscaoeconomia, 8(1), 1–24. https:// doi.org/10.25295/fsecon.1377785
  • Bhayana, S., & Nag, B. (2024). Global value chain linkages and carbon emissions embodied in trade: Evidence from emerging economies: Uncovering connections. arXiv preprint, arXiv:2411.02963. https://doi.org/10.48550/arXiv.2411.02963
  • Caldara, D., & Iacoviello, M. (2022). Measuring geopolitical risk. American Economic Review, 112(4), 1194– 1225. https://doi.org/10.1257/aer.20191823
  • Cheng, P., Xingang, H., & Choi, B. (2023). The effect of geopolitical risk on carbon emissions: Influence mechanisms and heterogeneity analyzed using evidence from China. Environmental Science and Pollution Research, 30(48), 105220–105230. https://doi.org/10.1007/s11356.023.29829-3
  • Chu, L. K., Doğan, B., Abakah, E. J. A., Ghosh, S., & Albeni, M. (2023). Impact of economic policy uncertainty, geopolitical risk, and economic complexity on carbon emissions and ecological footprint: an investigation of the E7 countries. Environmental Science and Pollution Research, 30(12), 34406–34427. https://doi.org/10.1007/s11356.022.24682-2
  • Çoban, O. (2015). Yenilenebilir enerji tüketimi ve karbon emisyonu ilişkisi: Turkey örneği. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 1(38), 195–208.
  • Derindag, O. F., Maydybura, A., Kalra, A., Wong, W. K., & Chang, B. H. (2023). Carbon emissions and the rising effect of trade openness and foreign direct investment: Evidence from a threshold regression model. Heliyon, 9(7), e17448. https://doi.org/10.1016/j.heliyon.2023.e17448
  • 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
  • European Commission. (2019). The European Green Deal. Brussels: European Commission.
  • European Commission. (2021). Proposal for a Regulation of the European Parliament and of the Council Establishing a Carbon Border Adjustment Mechanism (CBAM). Brussels: European Commission.
  • Hashmi, S. M., Bhowmik, R., Inglesi‑Lotz, R., & Syed, Q. R. (2022). Investigating the Environmental Kuznets Curve hypothesis amidst geopolitical risk: Global evidence using bootstrap ARDL approach. Environmental Science and Pollution Research, 29(16), 24049–24062. https://doi.org/10.1007/ s11356.021.17488-1
  • Hu, W., Shan, Y., Deng, Y., Fu, N., Duan, J., Jiang, H., & Zhang, J. (2023). Geopolitical Risk Evolution and Obstacle Factors of Countries along the Belt and Road and Its Types Classification. International Journal of Environmental Research and Public Health, 20, 1618. https://doi.org/10.3390/ijerph20021618
  • Huang, Y., Kuldasheva, Z., & Salahodjaev, R. (2021). Renewable energy and CO₂ emissions: empirical evidence from major energy-consuming countries. Energies, 14(22), 7504. https://doi.org/10.3390/ en14227504
  • Intergovernmental Panel on Climate Change (IPCC). (2023). Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva: IPCC.
  • Jiang, Y., & Khan, H. (2023). The relationship between renewable energy consumption, technological innovations, and carbon dioxide emission: Evidence from two‑step system GMM. Environmental Science and Pollution Research, 30(2), 4187–4202. https://doi.org/10.1007/s11356.022.22391-4
  • Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254. https://doi.org/10.1016/0165-1889(88)90041-3
  • Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration – with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2), 169–210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x
  • Kang, H. (2021). CO₂ emissions embodied in international trade and economic growth: Empirical evidence for OECD and non‑OECD countries. Sustainability, 13(21), 12114. https://doi.org/10.3390/ su132112114
  • Kızılkaya, F., Kızılkaya, O., & Mike, F. (2024). Does geopolitical risk escalate environmental degradation in Turkey? Evidence from a Fourier approach. Environment, Development and Sustainability. https:// doi.org/10.1007/s10668.024.05258-1
  • Lawal, G. O., Aladenika, B., Akadiri, A., Fatigun, A. S., & Olanrewaju, V. O. (2023). Geopolitical risk, globalization and environmental degradation in South Africa: Evidence from advanced quantiles approach. Problemy Ekorozwoju, 18(1), 207–215. https://doi.org/10.35784/pe.2023.1.22
  • Luo, H., & Sun, Y. (2024). Effects of geopolitical risk on environmental sustainability and the moderating role of environmental policy stringency. Scientific Reports, 14(1), 10747. https://doi.org/10.1038/ s41598.024.47166-7
  • Mirziyoyeva, Z., & Salahodjaev, R. (2023). Renewable energy, GDP and CO₂ emissions in high‑globalized countries. Frontiers in Energy Research, 11, Article 1123269. https://doi.org/10.3389/ fenrg.2023.112.3269
  • Mukhtarov, S., Aliyev, F., Aliyev, J., & Ajayi, R. (2023). Renewable energy consumption and carbon emissions: Evidence from an oil‑rich economy. Sustainability, 15(1), 134. https://doi.org/10.3390/su15010134
  • Narayan, P. K., & Smyth, R. (2005). Trade liberalization and economic growth in Fiji: An empirical assessment using the ARDL approach. Journal of the Asia Pacific Economy, 10(1), 96–115. https:// doi.org/10.1080/135.478.6042000309092
  • Özokcu, S., & Özdemir, Ö. (2017). Economic growth, energy, and environmental Kuznets curve. Renewable and Sustainable Energy Reviews, 72, 639–647. https://doi.org/10.1016/j.rser.2017.01.059
  • 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.
  • Riti, J. S., Shu, Y., & Riti, M. K. J. (2022). Geopolitical risk and environmental degradation in BRICS: Aggregation bias and policy inference. Energy Policy, 166, 113010. https://doi.org/10.1016/j. enpol.2022.113010
  • Saadaoui, Z., Doğan, E., & Omri, A. (2023). Does geopolitical risk affect CO₂ emissions in Turkey? ARDL and spectral causality analysis. Environmental Science and Pollution Research, 30, 36975–36988. https://doi.org/10.1007/s11356.023.36975-36988
  • Sharifi-Renani, H. (2007). Demand for money in Iran: An ARDL approach. MPRA, 1-9 Stern, N. (2007). The Economics of Climate Change: The Stern Review. Cambridge: Cambridge University Press.
  • Uddin, I., Usman, M., Saqib, N., & Makhdum, M. S. A. (2023). The impact of geopolitical risk, governance, technological innovations, energy use, and foreign direct investment on CO₂ emissions in the BRICS region. Environmental Science and Pollution Research, 30, 73714–73729. https://doi.org/10.1007/ s11356.023.27466-4
  • Yesbolova, A. Y., Abdulova, T., Nurgabylov, M., Yessenbekova, S., Turalina, S., Baytaeva, G., & Myrzabekkyzy, K. (2024). Analysis of the effect of renewable energy consumption and industrial production on CO₂ emissions in Turkic Republics by panel data analysis method. International Journal of Energy Economics and Policy, 14(1), 480–487. https://doi.org/10.32479/ijeep.15261
  • Zhao, W., et al. (2021). Nonlinear effects of geopolitical risk on carbon emissions: New evidence from BRICS countries. Environmental Science and Pollution Research, 28(29), 39668–39679. https://doi. org/10.1007/s11356.021.13505-5
  • Wang, K. H., Kan, J. M., Jiang, C. F., & Su, C. W. (2022). Is geopolitical risk powerful enough to affect carbon dioxide emissions? Evidence from China. Sustainability, 14(13), 7867. https://doi.org/10.3390/ su14137867
  • World Bank. (2024). Trade (net exports of goods and services % of GDP) – Turkey. Retrieved July 2025, from https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS?locations=TR
  • World Bank. (2024). Renewable energy consumption (% of total final energy consumption) – Turkey. Retrieved July 2025, from https://data.worldbank.org/indicator/EG.FEC.RNEW.ZS?locations=TR
  • World Bank. (2024). GDP (constant 2015 US$) – Turkey. Retrieved July 2025, from https://data.worldbank. org/indicator/NY.GDP.MKTP.KD?locations=TR
There are 40 citations in total.

Details

Primary Language English
Subjects Economic Theory (Other)
Journal Section Makaleler
Authors

Zeliha Semra Kılınç 0000-0001-9837-1587

Early Pub Date October 17, 2025
Publication Date October 21, 2025
Submission Date August 15, 2025
Acceptance Date September 26, 2025
Published in Issue Year 2025 Volume: 9 Issue: 2

Cite

APA Kılınç, Z. S. (2025). THE IMPACT OF GEOPOLITICAL RISK, TRADE DEFICIT, AND ENERGY CONSUMPTION ON CARBON EMISSIONS: THE CASE OF TURKEY. Journal of Research in Economics, 9(2), 72-89.