Energy uncertainty and geopolitical tensions : impacts on European CO2 emissions

dc.contributor.authorInglesi-Lotz, Roula
dc.contributor.authorKuziboev, Bekhzod
dc.contributor.authorIbadullaev, Ergash
dc.contributor.authorSaidmamatov, Olimjon
dc.contributor.authorÇatik, Abdurrahman Nazif
dc.contributor.emailroula.inglesi-lotz@up.ac.za
dc.date.accessioned2025-10-07T08:28:27Z
dc.date.issued2025-11
dc.descriptionDATA AVAILABILITY : Data will be made available on request.
dc.description.abstractThe European region is currently grappling with energy challenges while facing the ripple effects of escalating tensions between the U.S. and China. Therefore, the study is novel in investigating the impact of energy uncertainty and US-China tension on CO2 emissions in Europe from 2001 to 2019. For this purpose, the Method of Moments of Quantile Regression (MMQR) is applied along with second-generation methods since there is a cross-sectional dependence in the residuals of the regression with employed variables. The findings reveal that energy uncertainty positively impacts CO2 emissions in quantiles 20 %–90 %, suggesting that it affects Europe's economic development and burdens the environment. US-China tension negatively affects carbon dioxide emissions in all quantiles by 10 %–90 %, revealing that the European environment benefits from US-China conflicts. Furthermore, assuming that energy uncertainty is an endogenous variable, the instrument is constructed by taking the average value of the energy uncertainty of the other countries in the region, excluding the local one. Instrumental variable estimates based on this variable indicate that energy uncertainty positively affects CO2 emissions. HIGHLIGHTS • The work is a pioneer in exploring the effect of energy uncertainty and US-China tension on CO2 emissions in Europe. • For the empirical estimations, the Method of Moments of Quantile Regression (MMQR) is employed. • The results show that energy uncertainty has a positive impact on CO2 emissions in quantiles 20 %–90 %. • Moreover, the effect of US-China tension on carbon dioxide emissions is negative across all quantiles by 10 %–90 %.
dc.description.departmentEconomics
dc.description.embargo2027-09-25
dc.description.librarianhj2025
dc.description.sdgSDG-07: Affordable and clean energy
dc.description.urihttps://www.elsevier.com/locate/energy
dc.identifier.citationInglesi-Lotz, R., Kuziboev, B., Ibadullaev, E. et al. 2025, 'Energy uncertainty and geopolitical tensions : impacts on European CO2 emissions', Energy, vol. 337, art. 138592, pp. 1-13, doi : 10.1016/j.energy.2025.138592.
dc.identifier.issn0360-5442 (print)
dc.identifier.issn1873-6785 (online)
dc.identifier.other10.1016/j.energy.2025.138592
dc.identifier.urihttp://hdl.handle.net/2263/104633
dc.language.isoen
dc.publisherElsevier
dc.rights© 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Notice : this is the author’s version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Energy, vol. 337, art. 138592, pp. 1-13, doi : 10.1016/j.energy.2025.138592.
dc.subjectEnergy uncertainty
dc.subjectMethod of moments of quantile regression (MMQR)
dc.subjectCO2 emissions
dc.subjectUS-China tension
dc.titleEnergy uncertainty and geopolitical tensions : impacts on European CO2 emissions
dc.typePostprint Article

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