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Drivers and pass-through of the EU ETS price: Evidence from the power sector

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  • Bai, Yiyi
  • Okullo, Samuel J.

Abstract

Despite low and volatile allowance prices observed between 2008 and 2018 within the European Union (EU) Emission Trading System (ETS), power generators’ responses were by and large consistent with predictions of economic theory. We infer this in a number of steps. First by establishing that the qualitative response of the EU ETS allowance price to variations in the pre-eminent drivers of short-term fuel-switching, both the gas and coal price, is as economic theory prescribes. Second, we decompose allowance price returns and impute that allowance banking had value in helping generators smooth compliance costs. Third, we show that pass-through of allowance costs was (more than) complete in seven major European markets for both coal- and gas- fired power generation. Our inference on pass-through is novel in that we impute allowance cost pass-through by dispatch technology even when the merit-order curve is unobserved. Put together, our findings imply that even prior to the recent reform-induced price appreciation, the EU ETS was more functional than many observers recognized.

Suggested Citation

  • Bai, Yiyi & Okullo, Samuel J., 2023. "Drivers and pass-through of the EU ETS price: Evidence from the power sector," Energy Economics, Elsevier, vol. 123(C).
  • Handle: RePEc:eee:eneeco:v:123:y:2023:i:c:s0140988323001962
    DOI: 10.1016/j.eneco.2023.106698
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    2. Tan, Ruipeng & Cai, Qijun & Pan, Lulu, 2024. "Faking for fortune: Emissions trading schemes and corporate greenwashing in China," Energy Economics, Elsevier, vol. 130(C).
    3. Liu, Dinggao & Chen, Kaijie & Cai, Yi & Tang, Zhenpeng, 2024. "Interpretable EU ETS Phase 4 prices forecasting based on deep generative data augmentation approach," Finance Research Letters, Elsevier, vol. 61(C).

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    More about this item

    Keywords

    Fuel-switching; European union; Allowances; Emission trading; Gas; Coal; Electricity;
    All these keywords.

    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • H22 - Public Economics - - Taxation, Subsidies, and Revenue - - - Incidence

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