TY  - JOUR
T1  - Evaluating Carbon and Energy Taxation Performance in BRICS-T Countries: An Integrated WENSLO-MCRAT Approach
TT  - BRICS-T Ülkelerinde Karbon ve Enerji Vergilendirme Performansının Değerlendirilmesi: Entegre Bir WENSLO–MCRAT Yaklaşım
AU  - Kaya, Ahmet
AU  - Gürler, Hasan Emin
AU  - Güngör Karyağdı, Nazan
AU  - Özçalıcı, Mehmet
PY  - 2025
DA  - October
Y2  - 2025
DO  - 10.30784/epfad.1813740
JF  - Ekonomi Politika ve Finans Araştırmaları Dergisi
JO  - EPF Journal
PB  - Ekonomi ve Finansal Araştırmalar Derneği
WT  - DergiPark
SN  - 2587-151X
SP  - 235
EP  - 251
VL  - 10
IS  - Özel Sayı
LA  - en
AB  - As global climate mitigation efforts intensify, carbon taxation has become a crucial policy tool to curb emissions and enhance fiscal-environmental sustainability. This study assesses the carbon and energy taxation performance of BRICS-T countries (Brazil, Russia, India, China, South Africa, and Turkey) using an integrated multi-criteria decision-making (MCDM) model combining WENSLO (Weights by ENvelope and SLOpe) and MCRAT (Multiple Criteria Ranking by Alternative Trace). Five indicators—Net Effective Carbon Rates (NECR), Net Effective Energy Rates (NEER), Net Energy Tax Revenues and Reform Potential (NETRRP), Revenue Forgone with NECR (RF+NECR), and Shares of Emissions Priced (SEP)—were selected to capture both fiscal intensity and environmental scope. WENSLO was used to derive objective weights, while MCRAT provided performance rankings. Findings indicate South Africa leads in overall performance, followed by India and China, with Brazil and Russia trailing. Sensitivity analysis identifies NECR and SEP as the most influential indicators, significantly impacting rankings. Rank reversal analysis reveals that Turkey’s relative position improves upon the removal of lower-performing countries. The study introduces a robust, data-driven framework for evaluating carbon taxation in emerging economies and offers strategic insights for enhancing climate-aligned fiscal policies.
KW  - Carbon Taxation
KW  - WENSLO
KW  - MCRAT
KW  - BRICS-T
KW  - Environmental Taxation
KW  - Sensitivity Analysis
N2  - Küresel iklim değişikliğiyle mücadele çabalarının artmasıyla birlikte, karbon vergilendirmesi sera gazı emisyonlarını azaltmak ve mali-çevresel sürdürülebilirliği güçlendirmek adına önemli bir politika aracı hâline gelmiştir. Bu çalışma, BRICS-T ülkelerinin (Brezilya, Rusya, Hindistan, Çin, Güney Afrika ve Türkiye) karbon ve enerji vergilendirme performanslarını WENSLO (Weights by ENvelope and SLOpe) ve MCRAT (Multiple Criteria Ranking by Alternative Trace) yöntemlerinin bütünleştirildiği çok kriterli karar verme (ÇKKV) modeliyle değerlendirmektedir. Mali yoğunluk ve çevresel kapsamı yansıtan beş gösterge—Net Etkin Karbon Oranı (NECR), Net Etkin Enerji Oranı (NEER), Net Enerji Vergisi Gelirleri ve Reform Potansiyeli (NETRRP), Kayıp Gelir + NECR (RF+NECR) ve Fiyatlandırılan Emisyon Payı (SEP)—kullanılmıştır. WENSLO yöntemiyle nesnel ağırlıklar hesaplanmış, MCRAT ile ülkeler sıralanmıştır. Sonuçlara göre Güney Afrika en yüksek performansı gösterirken, onu Hindistan ve Çin izlemekte; Brezilya ve Rusya ise daha zayıf performans sergilemektedir. Duyarlılık analizi, NECR ve SEP kriterlerinin sıralamalar üzerindeki etkisinin yüksek olduğunu ortaya koyarken; sıra değişim analizi, düşük performanslı ülkelerin dışlanması durumunda Türkiye’nin göreli konumunun iyileştiğini göstermektedir. Bu çalışma, gelişmekte olan ekonomilerde karbon vergilendirme performansını nesnel ve veri temelli bir yaklaşımla değerlendiren özgün bir çerçeve sunmaktadır.
CR  - Abdulaal, R.M. and Bafail, O.A. (2022). Two new approaches (RAMS‐RATMI) in multi‐criteria decision‐making tactics. Journal of Mathematics, 2022(1), 6725318. https://doi.org/10.1155/2022/6725318
CR  - Andersen, M.S. (2019). The politics of carbon taxation: how varieties of policy style matter. Environmental Politics, 28(6), 1084-1104. https://doi.org/10.1080/09644016.2019.1625134.
CR  - Boute, A. (2024). Accounting for carbon pricing in third countries under the EU carbon border adjustment mechanism. World Trade Review, 23(2), 169-189. https://doi.org/10.1017/S1474745624000107
CR  - Chelly, A., Nouira, I., Hadj-Alouane, A.B. and Frein, Y. (2022). A comparative study of progressive carbon taxation strategies: impact on firms’ economic and environmental performances. International Journal of Production Research, 60(11), 3476-3500. https://doi.org/10.1080/00207543.2021.1924410
CR  - Çakmak, H. (2018). Çevresel vergilerin ekonomik etkileri: Karbon vergisi (Yayımlanmamış Doktora Tezi). Maltepe Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
CR  - Ercoşkun, S. and Kovancılar, B. (2023). Nordik ülkelerinde karbon vergisi uygulamalarının değerlendirilmesi. Yönetim ve Ekonomi Dergisi, 30(3), 611-631. https://doi.org/10.18657/yonveek.628802
CR  - Fay, M., Hallegatte, S., Vogt, S., Rozenberg, J., Narloch, U. and Kerr T. (2015). Decarbonizing development: Three steps to a zero- carbon future. Retrieved from https://openknowledge.worldbank.org/entities/publication/31452b7e-bc43-5ce8-a7f7-4a9b814d5324
CR  - Fernando, S.F. (2019). The environmental effectiveness of carbon taxes: A comparative case study of the Nordic experience. Retrieved from https://www.diva-portal.org/
CR  - Jin, M., Shi, X., Emrouznejad, A. and Yang, F. (2018). Determining the optimal carbon tax rate based on data envelopment analysis. Journal of Cleaner Production, 172, 900-908. https://doi.org/10.1016/j.jclepro.2017.10.127
CR  - Khastar, M., Aslani, A. and Nejati, M. (2020). How does carbon tax affect social welfare and emission reduction in Finland? Energy Reports, 6, 736-744. https://doi.org/10.1016/j.egyr.2020.03.001
CR  - Martinsson, G., Sajtos, L., Strömberg, P. and Thomann, C. (2024). The effect of carbon pricing on firm emissions: Evidence from the Swedish CO2 tax. The Review of Financial Studies, 37(6), 18481886. https://doi.org/10.1093/rfs/hhad097
CR  - Meng, X. and Yu, Y. (2023). Can renewable energy portfolio standarts and carbon tax policies promote carbon emission reduction in China’s power ındustry? Energy Policy, 174, 113461. https://doi.org/10.1016/j.enpol.2023.113461
CR  - Mideksa, T.K. (2024). Pricing for a cooler planet: An effect of empirical analysis of the taxing carbon. Journal of Environmental Economics and Management, 127, 103034. https://doi.org/10.1016/j.jeem.2024.103034.
CR  - OECD. (2023). OECD data explorer. Retrieved from https://data-explorer.oecd.org/
CR  - Özbek, A. (2019). Çok kriterli karar verme yöntemleri ve Excel ile problem çözümü (2. Bs.) Ankara: Seçkin Yayıncılık.
CR  - Özsoy, E. (2022). Sınırda karbon düzenleme mekanizması: Türkiye için yeni bir risk mi fırsat mı? Papers presented at the VI. Anadolu International Conference on Economics. Eskişehir, Türkiye. Retrieved from https://cdn.anadolu.edu.tr/files/anadolu-cms/7qeXgkzr/uploads/econanadolu2022-abstractbook-ddff60f8d19a9555.pdf
CR  - Pamucar, D., Ecer, F., Gligorić, Z., Gligorić, M. and Deveci, M. (2024). A novel WENSLO and ALWAS multicriteria methodology and its application to green growth performance evaluation. IEEE Transactions on Engineering Management, 71, 9510–9525. https://doi.org/10.1109/TEM.2023.3321697
CR  - Pomerleau, K. and Asen, E. (2019). Carbon taxes and revenue recyling: Revenue, economic, and distributional implications (Tax Foundation Fiscal Fact No. 674). Retrieved from https://files.taxfoundation.org/20191105134952/Carbon-Tax-and-Revenue-Recycling-Revenue-Economic-and-Distributional-Implications-PDF.pdf
CR  - Ratanakuakangwan, S. and Morita, H. (2022). An efficient energy planning model optimizing cost, emission, and social impact with different carbon tax scenarios. Applied Energy, 325, 119792. https://doi.org/10.1016/j.apenergy.2022.119792
CR  - Shmelev, S.E. and Speck, S.U. (2018). Green fiscal reform in Sweden: Econometric assessment of the carbon and energy taxation scheme. Renewable and Sustainable Energy Reviews, 90, 969-981. https://doi.org/10.1016/j.rser.2018.03.032
CR  - Solaymani, S. (2017). Carbon and energy taxes in a small and open country. Global Journal of Environmental Science and Management, 3(1), 51-62. doi:10.22034/gjesm.2017.03.01.006
CR  - Sumner, J., Bird, L. and Smith, H. (2011). Carbon taxes: A review of experience and policy design considerations. Climate Policy, 11(2), 922-943. https://doi.org/10.3763/cpol.2010.0093
CR  - Timilsina, G.R. (2022). Carbon taxes. Journal of Economic Literature, 60(4), 1456-1502. doi:10.1257/jel.20211560
CR  - Ulutaş, A., Topal, A., Karabasevic, D. and Balo, F. (2023). Selection of a forklift for a cargo company with fuzzy BWM and fuzzy MCRAT methods. Axioms, 12(5), 467. https://doi.org/10.3390/axioms12050467
CR  - United Nations. (2021). United Nations handbook on carbon taxation for developing countries. Retrieved from https://www.government.se/contentassets/419eb2cafa93423c891c09cb9914801b/un-handbook-on-carbon-taxation-for-developing-countries.pdf
CR  - Urošević, K., Gligorić, Z., Miljanović, I., Beljić, Č. and Gligorić, M. (2021). Novel methods in multiple criteria decision-making process (MCRAT and RAPS)-Application in the mining industry. Mathematics, 9(16), 1980. https://doi.org/10.3390/math9161980
CR  - Vesala, L.S. (2023). Determinants of carbon pricing policy stringency. Democracy, 2, 1-80. Retrieved from https://helda.helsinki.fi/
CR  - Yahoo, M. and Othman, J. (2017). Carbon and energy taxation for CO 2 mitigation: A CGE model of the Malaysia. Environment, Development and Sustainability, 19, 239-262. https://doi.org/10.1007/s10668-015-9725-z
CR  - Yolal, M. (2025). Karbon vergisi uygulamalarının İskandinav ülkeleri açısından değerlendirilmesi. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 28(53), 265-290. https://doi.org/10.31795/baunsobed.1642788
UR  - https://doi.org/10.30784/epfad.1813740
L1  - https://dergipark.org.tr/tr/download/article-file/5375689
ER  -