Economic Determinants of Electricity Export: A Two-Way Fixed Effects Panel Analysis Based on RTA, RSCA, and TBI Indices (2017-2024)
Khayala ALIGULIYEVA, Jamil TAGHIYEV, Asim HARUNOV, Irada JAMALKHANOVA, Aysel TALIFLI
Abstract. The amalgamation of the national energy networks transforms the countries into electricity exporters and importers, which contributes to the topicality of the electricity market in academia and policy. This paper examines the 11 top 2017-2024 electricity exporters in 3 measures: Revealed Comparative Advantage (RCA), Trade Balance Index (TBI), and Relative Trade Advantage (RTA). The estimation was done using a two-way fixed-effects panel model with Driscoll-Kraay standard errors to overcome autocorrelation. This is because the outstanding result is that the revealed symmetric comparative advantage (2.34) is the most important influence on the performance of electricity export between these nations. In this regard, the countries which export electricity are to not only raise the quantities of export, but also maintain the level of import dependence at manageable rates. In addition, nine of the eleven countries, under investigation, are located in Europe, so a coherent solution is suggested. Such nations ought to develop electricity infrastructures and market integration into European single market, as opposed to exporting singly.
Keywords
Electrical Energy, Revealed Symmetric Comparative Advantage, Renewable Energy, Driscoll-Kraay SE
Published online 4/25/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Khayala ALIGULIYEVA, Jamil TAGHIYEV, Asim HARUNOV, Irada JAMALKHANOVA, Aysel TALIFLI, Economic Determinants of Electricity Export: A Two-Way Fixed Effects Panel Analysis Based on RTA, RSCA, and TBI Indices (2017-2024), Materials Research Proceedings, Vol. 64, pp 1099-1106, 2026
DOI: https://doi.org/10.21741/9781644904091-136
The article was published as article 136 of the book Energy Futures
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
[1] J. Urpelainen, “Export orientation and domestic electricity generation: Effects on energy efficiency innovation in select sectors,” Energy Policy, 39(9), 5638-5646, 2011. https://doi.org/10.1016/j.enpol.2011.04.028
[2] A. Girard, E. J. Gago, J. Ordoñez, and T. J. R. E. Muneer, “Spain’s energy outlook: A review of PV potential and energy export,” Renewable Energy, 86, 2016, 703-715. https://doi.org/10.1016/j.renene.2015.08.074
[3] M. A. H. Mondal, E. Bryan, C. Ringler, and M. Rosegrant, “Ethiopian power sector development: Renewable-based universal electricity access and export strategies,” Renewable and Sustainable Energy Reviews, 75, 2017, 11-20. https://doi.org/10.1016/j.rser.2016.10.041.
[4] T. Fares, A. Djeddi, and N. Nouioua, “Solar energy in Algeria between exploitation policies and export potential,” In 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA), pp. 1-5, 2019. IEEE. doi: 10.1109/ICSRESA49121.2019.9182306
[5] Y. Xu, M. Ji, J. J. Klemeš, H. Tao, B. Zhu, P. S. Varbanov, and B. Wang, “Optimal renewable energy export strategies of islands: Hydrogen or electricity?” Energy, 269, 126750, 2023. https://doi.org/10.1016/j.energy.2023.126750
[6] A. Nurjanov, F. Xolmurotov, E. Ibadullaev, J. Ataniyazov, M. Masharipova, F. Yusupova, and X. Xolmuratov, “The impact of renewable energy consumption on export performance in Uzbekistan: A vector autoregression approach,” Environmental Economics, 16(2), 186, 2025. DOI:10.21511/ee.16(2).2025.14
[7] Š. Bojnec and I. Fertő, “Complementarities of trade advantage and trade competitiveness measures,” Applied economics, 44(4), 399-408, 2012. https://doi.org/10.1080/00036846.2010.508725.
[8] J. P. Danna-Buitrago and R. Stellian, “A new class of revealed comparative advantage indexes,” Open Economies Review, 33(3), 477-503, 2022. https://doi.org/10.1007/s11079-021-09636-4
[9] L. Zhou, and G. Tong, “Research on the competitiveness and influencing factors of agricultural products trade between China and the countries along the ‘Belt and Road’,” Alexandria Engineering Journal, 61(11), 8919-8931, 2022. https://doi.org/10.1016/j.aej.2022.02.030
[10] I. Konstantakopoulou and M. G. Tsionas, “Measuring comparative advantages in the Euro Area,” Economic Modelling, 76, 260-269, 2019. https://doi.org/10.1016/j.econmod.2018.08.005
[11] Taghiyev, J., and Aliguliyeva, K. Comparative Advantage and Competitiveness Analysis of Electricity Exports of Central Asian Turkic States. International scientific journal “Science and Innovation”, SAI 2025; SPECIAL (104): 53-59, 2025. https://dx.doi.org/10.2139/ssrn.5388561.
[12] A. Alin, “Multicollinearity,” Wiley interdisciplinary reviews: computational statistics, 2(3), 370-374, 2010. https://doi.org/10.1002/wics.84
[13] N. A. M. R. Senaviratna and T. M. J. A. Cooray, “Diagnosing multicollinearity of logistic regression model,” Asian Journal of Probability and Statistics, 5(2), 1-9, 2019. DOI: 10.9734/AJPAS/2019/v5i230132
[14] IEA, https://www.iea.org/reports/electricity-2024/executive-summary
[15]ITC,https://www.trademap.org/Country_SelProduct_TS.aspx?nvpm=1%7c%7c%7c%7c%7c271600%7c%7c%7c6%7c1%7c1%7c2%7c2%7c1%7c2%7c1%7c1%7c1. Accessed 30 October 2025
[16] G. Lafay, “The measurement of revealed comparative advantages,” In International Trade Modelling. Berlin: Springer, pp. 209–34, 1992.
[17] L. T. Vollrath, “A theoretical evaluation of alternative trade intensity measures of revealed comparative advantage,” Weltwirtschaftliches Archiv, 127(2), 265-280, 1991.
[18] Kh. V. Aliguliyeva, J. A. Taghiyev, A. T. Harunov, and I. S. Jamalxanova, “Analysis of the Development of Green Energy and the Export Potential of Electric Power in the Turkic States from a Competitiveness Perspective,” Global Meet and Expo on Renewable and Sustainable Energy (RSEMEET 2025), Dubai, UAE, 2025.
