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Carbon pricing in Germany's road transport and housing sector: Options for reimbursing carbon revenues

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  • Frondel, Manuel
  • Schubert, Stefanie

Abstract

In 2021, Germany will launch a national emissions trading system (ETS) in its road transport and housing sectors. This climate policy instrument aims at raising the energy cost burden of those households and firms that consume fossil fuels, the major source of carbon dioxide (CO2) emissions. A promising approach to secure public acceptance for such a carbon pricing would be to entirely reallocate the resulting "carbon" revenues to consumers. This article discusses three alternatives: a) a per-capita reallocation to private households, b) the reduction of electricity prices by, e.g., decreasing the electricity tax, as well as c) targeted financial aid for vulnerable consumers, such as increasing housing benefits. To estimate both the revenues originating from carbon pricing and the resulting emission savings, we use price elasticities on individual energy consumption in the road transport and housing sector from the empirical literature. Most effective with respect to alleviating the burden of poor households would be increasing housing benefits. While this measure would not require large monetary resources, we argue that the remaining revenues should be preferably employed to reduce Germany's electricity tax, given the steadily increasing amount of electricity generated by renewable energy technologies.

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  • Frondel, Manuel & Schubert, Stefanie, 2020. "Carbon pricing in Germany's road transport and housing sector: Options for reimbursing carbon revenues," Ruhr Economic Papers 869, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  • Handle: RePEc:zbw:rwirep:869
    DOI: 10.4419/96973006
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    Cited by:

    1. Juan Liu & Minwei Liu & Zhimin Wang & Junwen Yang & Suhua Lou, 2022. "Multi-Flexibility Resources Planning for Power System Considering Carbon Trading," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    2. Wu, Qingyang & Tan, Chang & Wang, Daoping & Wu, Yongtao & Meng, Jing & Zheng, Heran, 2023. "How carbon emission prices accelerate net zero: Evidence from China's coal-fired power plants," Energy Policy, Elsevier, vol. 177(C).
    3. Dütschke, Elisabeth & Preuß, Sabine & Brunzema, Iska & Piria, Raffaele, 2023. "Using the revenues from carbon pricing - Insights into the acceptance and perceptions of particularly burdened groups," Energy Policy, Elsevier, vol. 175(C).
    4. Witold Torbacki, 2021. "Achieving Sustainable Mobility in the Szczecin Metropolitan Area in the Post-COVID-19 Era: The DEMATEL and PROMETHEE II Approach," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    5. Jia, Zhijie & Wen, Shiyan & Liu, Yu, 2022. "China's urban-rural inequality caused by carbon neutrality: A perspective from carbon footprint and decomposed social welfare," Energy Economics, Elsevier, vol. 113(C).

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    More about this item

    Keywords

    Electricity tax; housing benefits; distributional effects;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices

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