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Carbon Price Drivers: An Updated Literature Review

Author

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  • Julien Chevallier

    (IPAG Business School (IPAG Lab), Paris, France)

Abstract

Since the creation of the European Union Emissions Trading Scheme (EU ETS) in 2005, a burgeoning academic literature has emerged to identify the factors that shape the price of carbon, where one European Union Allowance is equal to one ton of CO2-equivalent emitted in the atmosphere. Thus, there is a need for an updated and thorough literature review on the state-of-the-art on topic that this paper aims to fulfill. Namely, the author considers the main econometric studies that have been recently published in the academic literature, which feature the influence of the following determinants to explain the variation of the price of carbon: institutional decisions; energy prices and weather events; macroeconomic and financial market shocks. The paper concludes with some directions for future research in this area.

Suggested Citation

  • Julien Chevallier, 2013. "Carbon Price Drivers: An Updated Literature Review," International Journal of Applied Logistics (IJAL), IGI Global, vol. 4(4), pages 1-7, October.
  • Handle: RePEc:igg:jal000:v:4:y:2013:i:4:p:1-7
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    References listed on IDEAS

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    1. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    2. Maria Mansanet-Bataller & Angel Pardo & Enric Valor, 2007. "CO2 Prices, Energy and Weather," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 73-92.
    3. repec:dau:papers:123456789/5109 is not listed on IDEAS
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    Cited by:

    1. Raphaël-Homayoun Boroumand & Stéphane Goutte & Thomas Porcher & Thomas Stocker, 2020. "How to implement a fair and progressive carbon price to fight climate change?," Working Papers halshs-02613281, HAL.
    2. Susaeta, Andres & Chang, Sun Joseph & Carter, Douglas R. & Lal, Pankaj, 2014. "Economics of carbon sequestration under fluctuating economic environment, forest management and technological changes: An application to forest stands in the southern United States," Journal of Forest Economics, Elsevier, vol. 20(1), pages 47-64.
    3. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 196150, ZBW - Leibniz Information Centre for Economics, revised 2020.
    4. Agustín García & Agustín García & Miguel A. Jaramillo-Morán, 2020. "Short-term European Union Allowance price forecasting with artificial neural networks," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 261-275, September.
    5. Liu, Zhiqing & Geng, Yong & Dai, Hancheng & Wilson, Jeffrey & Xie, Yang & Wu, Rui & You, Wei & Yu, Zhongjue, 2018. "Regional impacts of launching national carbon emissions trading market: A case study of Shanghai," Applied Energy, Elsevier, vol. 230(C), pages 232-240.
    6. Miguel A. Jaramillo-Morán & Agustín García-García, 2019. "Applying Artificial Neural Networks to Forecast European Union Allowance Prices: The Effect of Information from Pollutant-Related Sectors," Energies, MDPI, vol. 12(23), pages 1-18, November.
    7. Bento, Nuno & Gianfrate, Gianfranco, 2020. "Determinants of internal carbon pricing," Energy Policy, Elsevier, vol. 143(C).
    8. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    9. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.

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