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Interaction between CO2 emissions trading and renewable energy subsidies under uncertainty: feed-in tariffs as a safety net against over-allocation

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  • Oskar Lecuyer
  • Philippe Quirion

Abstract

We study the interactions between a CO2 emissions trading system (ETS) and renewable energy subsidies under uncertainty over electricity demand and energy costs. We develop an analytical model and a numerical model applied to the European Union electricity market in which renewable energy subsidies are justified only by CO2 abatement. We confirm that in this context, when uncertainty is small, renewable energy subsidies are not welfare-improving, but we show that when uncertainty is large enough, these subsidies increase expected welfare because they provide CO2 abatement even in the case of over-allocation, i.e. when the cap is higher than the emissions which would have occurred without the ETS. The source of uncertainty is important when comparing the various types of renewable energy subsidies. Under uncertainty over electricity demand, renewable energy costs or gas prices, a feed-in tariff brings higher expected welfare than a feed-in premium because it provides a higher subsidy when it is actually needed i.e. when the electricity price is low. Under uncertainty over coal prices, the opposite result holds true.Key policy insights Due to the possibility of over-allocation in an ETS, subsidies to renewable energies can increase expected welfare, even when climate change mitigation is the only benefit from renewables taken into account.In most cases studied, a feed-in tariff brings a higher expected welfare than a feed-in premium.The European Commission guidelines on State aid for energy, which incentivize member States to replace feed-in tariffs by feed-in premiums, should be reconsidered based on these results.

Suggested Citation

  • Oskar Lecuyer & Philippe Quirion, 2019. "Interaction between CO2 emissions trading and renewable energy subsidies under uncertainty: feed-in tariffs as a safety net against over-allocation," Climate Policy, Taylor & Francis Journals, vol. 19(8), pages 1002-1018, September.
  • Handle: RePEc:taf:tcpoxx:v:19:y:2019:i:8:p:1002-1018
    DOI: 10.1080/14693062.2019.1625743
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    Cited by:

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    3. Liu, Ying & Feng, Chao, 2023. "Promoting renewable energy through national energy legislation," Energy Economics, Elsevier, vol. 118(C).
    4. Donia Aloui & Brahim Gaies & Rafla Hchaichi, 2023. "Exploring environmental degradation spillovers in Sub-Saharan Africa: the energy–financial instability nexus," Economic Change and Restructuring, Springer, vol. 56(3), pages 1699-1724, June.
    5. Ruhnau, O. & Bucksteeg, M. & Ritter, D. & Schmitz, R. & Böttger, D. & Koch, M. & Pöstges, A. & Wiedmann, M. & Hirth, L., 2022. "Why electricity market models yield different results: Carbon pricing in a model-comparison experiment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    6. Perrier, Quentin, 2018. "The second French nuclear bet," Energy Economics, Elsevier, vol. 74(C), pages 858-877.
    7. Egli, Philipp & Lecuyer, Oskar, 2017. "Quantifying the net cost of a carbon price floor in Germany," Energy Policy, Elsevier, vol. 109(C), pages 685-693.
    8. Xu, Xiaofeng & Cui, Xiaodan & Chen, Xiangyu & Zhou, Yichen, 2022. "Impact of government subsidies on the innovation performance of the photovoltaic industry: Based on the moderating effect of carbon trading prices," Energy Policy, Elsevier, vol. 170(C).
    9. Yu, Vincent F. & Le, Thi Huynh Anh & Gupta, Jatinder N.D., 2023. "Sustainable microgrid design with peer-to-peer energy trading involving government subsidies and uncertainties," Renewable Energy, Elsevier, vol. 206(C), pages 658-675.
    10. Wei, Wei & Hu, Haiqing & Chang, Chun-Ping, 2022. "Why the same degree of economic policy uncertainty can produce different outcomes in energy efficiency? New evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 467-481.
    11. Bian, Junsong & Zhang, Guoqing & Zhou, Guanghui, 2020. "Manufacturer vs. Consumer Subsidy with Green Technology Investment and Environmental Concern," European Journal of Operational Research, Elsevier, vol. 287(3), pages 832-843.
    12. Philippe Quirion, 2020. "Les "instruments de marché" dans la lutte contre le changement climatique : quel bilan après 20 ans ?," Post-Print hal-03100296, HAL.
    13. Adams, Samuel & Adedoyin, Festus & Olaniran, Eniola & Bekun, Festus Victor, 2020. "Energy consumption, economic policy uncertainty and carbon emissions; causality evidence from resource rich economies," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 179-190.
    14. Quentin Perrier, 2017. "The French nuclear bet," CIRED Working Papers halshs-01487296, HAL.
    15. Tsao, Yu-Chung & Thanh, Vo-Van & Chang, Yi-Ying & Wei, Hsi-Hsien, 2021. "COVID-19: Government subsidy models for sustainable energy supply with disruption risks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).

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    JEL classification:

    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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