Journals / Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty / 2026 / Volume: 13 Issue: 2

Analyzing the Effects of Environmental Policy Stringency under Geopolitical Risk: A Nonlinear Approach

Çağrı Karakoç(ERCİYES ÜNİVERSİTESİ)0000-0002-6238-3428
Hale Akbulut(Hacettepe University)0000-0001-5768-6427
Pages
—
Publication Date
2026-06-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

The study underscores the importance of considering geopolitical risks in designing environmental policies and offers valuable insights for policymakers.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines the impact of geopolitical risk on carbon emissions and the mediating role of environmental policy stringency, using data from 24 countries between 1990 and 2020.
📊
Key Findings & Data:The findings suggest that geopolitical risk initially has a statistically insignificant effect on carbon emissions.
💡
Conclusion & Impact:The study underscores the importance of considering geopolitical risks in designing environmental policies and offers valuable insights for policymakers.
🔬Design:Research Article
📍Scope:2020 Verileri
⚙️Variables:Climate Change · Environmental Taxes · Geopolitical Risk

Abstract

This study examines the impact of geopolitical risk on carbon emissions and the mediating role of environmental policy stringency, using data from 24 countries between 1990 and 2020. The findings suggest that geopolitical risk initially has a statistically insignificant effect on carbon emissions. However, as environmental policy stringency exceeds a specific threshold, this effect turns negative. Notably, non-market-based environmental policies are found to be more effective than market-based policies in reducing emissions during times of geopolitical risk. The threshold level of (5) was found for non-market-based environmental policy stringency using static and dynamic panel threshold regressions. These findings highlight the critical role of strict environmental policies in mitigating carbon emissions, even when energy security is under threat. The study underscores the importance of considering geopolitical risks in designing environmental policies and offers valuable insights for policymakers.

🔖

Cite This Article

Karakoç, Ç., Akbulut, H. (2026). Analyzing the Effects of Environmental Policy Stringency under Geopolitical Risk: A Nonlinear Approach. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, Volume: 13 Issue: 2. https://doi.org/10.30798/makuiibf.1704959

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (56)

  1. Abid, M. (2016). Impact of economic, financial, and institutional factors on 〖CO〗_2 emissions: Evidence from sub-saharan Africa economies, Utilities Policy, 41, 85-94. http://dx.doi.org/10.1016/j.jup.2016.06.009
  2. Adams, S., Adedoyin, F., 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
  3. Ahmed, K. (2020). Environmental policy stringency, related technological change and emissions inventory in 20 OECD Countries. Journal of Environmental Management, 274, 111209. https://doi.org/10.1016/j.jenvman.2020.111209
  4. Akbulut, H. (2024). Mitigating carbon emissions: Market-based vs technology support policies. Revista de Economía Mundial, (68), 117-140.
  5. Akbulut, H., & Yereli, A. B. (2023). A new look at the pollution halo hypothesis: The role of environmental policy stringency. Estudios de Economía, 50(1), 31-54.
  6. Alizade, S., & Bayat, M. (2016). The effect of good governance on the environment in middle-income countries. Journal of Environmental Science and Technology, 18(3), 501-513.
  7. Al-Mulali, U., Solarin, S. A., & Ozturk, I. (2016). Investigating the presence of the environmental Kuznets curve (EKC) hypothesis in Kenya: an autoregressive distributed lag (ARDL) approach. Natural Hazards, 80(3), 1729- 1747. https://doi.org/10.1007/s11069-015-2050-x
  8. Anser, M. K., Syed, Q. R., & Apergis, N. (2021). Does geopolitical risk escalate 〖CO〗_2 emissions? Evidence from the BRICS countries. Environmental Science and Pollution Research, 28(35), 48011-48021. https://doi.org/10.1007/s11356-021-14032-z
  9. Baloch, M. A., & Wang, B. (2019). Analyzing the role of governance in 〖CO〗_2 emissions mitigation: the BRICS experience. Structural Change and Economic Dynamics, 51, 119-125.
  10. Bashir, M. F., Ma, B., Shahbaz, M., & Jiao, Z. (2020). The nexus between environmental tax and carbon emissions with the roles of environmental technology and financial development. Plos one, 15(11), e0242412. https://doi.org/10.1371/journal. pone.0242412
  11. Bildirici, M. (2018). “Impact of military on biofuels consumption and ghg emissions: the evidence from G7 Countries”, Environmental Science and Pollution Research, Vol. 25; 13560-13568. https://doi.org/10.1007/s11356-018-1545-x
  12. Bildirici, M., & Gokmenoglu, S. M. (2020). The impact of terrorism and FDI on environmental pollution: evidence from Afghanistan, Iraq, Nigeria, Pakistan, Philippines, Syria, Somalia, Thailand and Yemen. Environmental Impact Assessment Review, 81, 106340. https://doi.org/10.1016/j.eiar.2019.106340
  13. Botta, E. & Kozluk, T. (2014). “Measuring environmental policy stringency in OECD Countries: A composite index approach”, OECD Economics Department Working Papers, No. 1177, OECD Publishing, Paris. Retrieved March 12, 2021 from https://www.oecd-ilibrary.org/economics/measuringenvironmental-policy-stringency-in-oecd- countries_5jxrjnc45gvg- en. Accessed March 2017.
  14. Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253.
  15. Caldara, D., & Iacoviello, M. (2022). Measuring geopolitical risk. American Economic Review, 112(4), 1194-1225. https://doi.org/10.1257/aer.20191823
  16. Chan, K. S. (1993). Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model. The Annals of Statistics, 520-533.
  17. Dadgar, Y., & Nazari, R. (2016). The impact of good governance on environmental pollution in south-west Asian countries. https://doi.org/10.22099/ijes.2017.23649.1292.
  18. Dell, M., Jones, B. F., & Olken, B. A. (2014). What do we learn from the weather? The new climate-economy literature. Journal of Economic Literature, 52(3), 740-798.
  19. Demiral, M., Akça, E. E., & Tekin, I. (2021). Predictors of global carbon dioxide emissions: Do stringent environmental policies matter?. Environment, Development and Sustainability, 23(12), 18337-18361. https://doi.org/10.1007/s10668-021-01444-7
  20. Depren, S. K., Erdogan, S., Kartal, M. T., & Pata, U. K. (2024). Effect of political stability, geopolitical risk and R&D investments on environmental sustainability: Evidence from European countries by novel quantile models. Politická Ekonomie, 72(2), 151-180.
  21. Dietz, T., & E. A. Rosa. (1997) “Effects of population and affluence on 〖CO〗_2 emissions”, Proceedings of the National Academy of Sciences, 94, 175–179.
  22. Dong, K., R. Sun., & X. Dong (2018). “〖CO〗_2 emissions, natural gas and renewables, economic growth: assessing the evidence from China”, Science of the Total Environment, Vol. 640; 293-302. https://doi.org/10.1016/j.scitotenv.2018.05.322
  23. Ehrlich, P. R., & J. P. Holdren (1971). “Impact of population growth: complacency concerning this component of man's predicament is unjustified and counter productive”, Science, 171, 1212-1217.
  24. Energy Institute. (2024). Statistical review of world energy. https://ourworldindata.org/energy.
  25. Georgatzi, V. V., Stamboulis, Y., & Vetsikas, A. (2020). Examining the determinants of 〖CO〗_2 emissions caused by the transport sector: Empirical evidence from 12 European countries. Economic Analysis and Policy, 65, 11-20. https://doi.org/10.1016/j.eap.2019.11.003
  26. Gok, A., Ashraf, A., & Jasinska, E. (2024). The role of carbon emissions on inward foreign investment: A nonlinear dynamic panel analysis. Sustainability, 16(13), 5550. https://doi.org/10.3390/su16135550
  27. Gökmenoğlu, K., & N. Taspinar (2016). The relationship between 〖CO〗_2 emissions, energy consumption, economic growth and fdi: the case of Turkey”, The Journal of International Trade & Economic Development, 25, 706-723. https://doi.org/10.1080/09638199.2015.1119876
  28. Grossman, G. M., & A. B. Krueger (1995). Economic growth and the environment, The Quarterly Journal of Economics, 110, 353-377.
  29. Hansen, B. E. (1999). Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of Econometrics, 93(2), https://doi.org/10.1016/S0304-4076(99)00025-1
  30. Jorgenson, A. K., Clark, B., & Kentor, J. (2010). Militarization and the environment: a panel study of carbon dioxide emissions and the ecological footprints of nations, 1970–2000. Global Environmental Politics, 10(1), 7- 29.
  31. Kruse, T., A. Dechezleprêtre, R. Saffar., & L. Robert (2022). "Measuring environmental policy stringency in oecd countries: an update of the OECD composite eps indicator", OECD Economics Department Working Papers, 1703, OECD Publishing.
  32. Lin, B., & Jia, Z. (2018). The energy, environmental and economic impacts of carbon tax rate and taxation industry: a cge based study in China”, Energy, Vol. 159; 558-568. https://doi.org/10.1016/j.energy.2018.06.167
  33. Luo, H., & Sun, Y. (2024). “Effects of geopolitical risk on environmental sustainability and the moderating role of environmental policy stringency”, Scientific Reports, 14, 10747. https://doi.org/10.1038/s41598-024-60773-5
  34. Miller, S., & Vela, M. (2013). “Are environmentally related taxes effective?”, Inter-American Development Bank Working Paper No. IDB-WP-467 https://publications.iadb. org/en/publication/11334/are-environmentally- related-taxes-effective. Accessed June.
  35. Morley, B. (2012). Empirical evidence on the effectiveness of environmental taxes. Applied Economics Letters, 19, 1817-1820. https://doi.org/10.1080/13504851.2011.650324
  36. Nordhaus, W. (2013). The climate casino: risk, uncertainty, and economics for a warming world. Yale University Press.
  37. Ouyang, X., Shao, Q., Zhu, X., He, Q., Xiang, C., & Wei, G. (2019). Environmental regulation, economic growth and air pollution: Panel threshold analysis for OECD countries. Science of the total environment, 657, 234-241. https://doi.org/10.1016/j.scitotenv.2018.
  38. Panayotou, T. (1993). Empirical tests and policy analysis of environmental degradation at different stages of economic development (Vol. 4). working paper WP238, technology and employment programme, international labour office, Geneva.
  39. Pata, U. K., Dam, M. M., & Kaya, F. (2023). How effective are renewable energy, tourism, trade openness, and foreign direct investment on 〖CO〗_2 emissions? An EKC analysis for ASEAN countries. Environmental Science and Pollution Research, 30(6), 14821-14837. https://doi.org/10.1007/s11356-022-23160-z
  40. Pesaran, M. H. (2003). Estimation and inference in large heterogenous panels with cross section dependence. Available at SSRN 385123.
  41. Pesaran, M. H. (2004). “General diagnostic tests for cross section dependence in panels”, IZA Discussion Paper, No. 1240. [Online] available at https://docs.iza.org/dp1240.pdf, accessed on March 3, 2022.
  42. Pesaran, M. H. (2007). “A simple panel unit root test in the presence of cross-section dependence”, Journal of Applied Econometrics, Vol. 22; 265–312.
  43. Pesaran, M. H., A. Ullah., & T. Yamagata (2008). “A Bias-Adjusted LM Test of error cross-section independence”, The Economic Journal, 11, 105–127.
  44. Ritcihie, H., & Roser, M. (2020). “〖CO〗_2 emissions”, Published online at OurWorldinData.org. Retrieved from: 'https://ourworldindata.org/co2-emissions' [Online Resource]
  45. Savranlar, B., Ertas, S. A., & Aslan, A. (2024). The role of environmental tax on the environmental quality in EU counties: Evidence from panel vector autoregression approach. Environmental Science and Pollution Research, 31(24), 35769-35778. https://doi.org/10.1007/s11356-024-33632-z
  46. Seo, M. H., & Shin, Y. (2016). Dynamic panels with threshold effect and endogeneity. Journal of econometrics, 195(2), 169-186.
  47. Sofuoğlu, E., & Ay, A. (2020). The relationship between climate change and political instability: the case of MENA countries (1985: 01–2016: 12). Environmental science and pollution research, 27(12), 14033-14043.
  48. Stern, D. I., Common, M. S., & Barbier, E. B. (1996). Economic growth and environmental degradation: the environmental Kuznets curve and sustainable development. World development, 24(7), 1151-1160.
  49. Ullah, S., Andlib, Z., Majeed, M. T., Sohail, S., & Chishti, M. Z. (2021). Asymmetric effects of militarization on economic growth and environmental degradation: fresh evidence from Pakistan and India. Environmental Science and Pollution Research, 28(8), 9484-9497. https://doi.org/10.1007/s11356-020-11142-y
  50. Wang, Q., Guo, J., & Li, R. (2022). Official development assistance and carbon emissions of recipient countries: a dynamic panel threshold analysis for low-and lower-middle-income countries. Sustainable Production and Consumption, 29, 158-170. https://doi.org/10.1016/j.spc.2021.09.015
  51. Wang, X., & Q. Shao (2019). Non-linear effects of heterogeneous environmental regulations on green growth in G20 Countries: Evidence from panel threshold regression”, Science of the Total Environment, 660, 1346- 1354. https://doi.org/10.1016/j.scitotenv.2019.01.094
  52. Wang, Z., Zhang, B., & Wang, B. (2018). The moderating role of corruption between economic growth and 〖CO〗_2 emissions: evidence from BRICS economies. Energy, 148, 506-513.
  53. Wolde-Rufael, Y., & Mulat-Weldemeskel, E. (2021). Do environmental taxes and environmental stringency policies reduce 〖CO〗_2 emissions? Evidence from 7 emerging economies. Environmental Science and Pollution Research, 28(18), 22392-22408. https://doi.org/10.1007/s11356-020-11475-8
  54. Wolde-Rufael, Y., & Mulat-Weldemeskel, E. (2020). Environmental policy stringency, renewable energy consumption and 〖CO〗_2 emissions: Panel cointegration analysis for BRIICTS countries. International Journal of Green Energy, 17(10), 568-582. https://doi.org/10.1080/15435075.2020.1779073
  55. Wu, H., Xu, L., Ren, S., Hao, Y., & Yan, G. (2020). How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model. Resources Policy, 67, 101678. https://doi.org/10.1016/j.resourpol.2020.101678
  56. Zhang, W., Li, G., Uddin, M. K., & Guo, S. (2020). Environmental regulation, foreign investment behavior, and carbon emissions for 30 provinces in China. Journal of Cleaner Production, 248, 119208.