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Efficient and Equitable Policy Design: Taxing Energy Use or Promoting Energy Savings?

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  • Florian Landis, Sebastian Rausch, Mirjam Kosch, and Christoph Böhringer

Abstract

Should energy use be lowered by using broad-based taxes or through promoting and mandating energy savings through command-and-control measures and targeted subsidies? We integrate a micro-simulation analysis, based on a representative sample of 9,734 households of the Swiss population, into a numerical general equilibrium model to examine the efficiency and equity implications of these alternative regulatory approaches. We find that at the economy-wide level taxing energy is five times more cost-effective than promoting energy savings. About 36% of households gain under tax-based regulation while virtually all households are worse off under a promotion-based policy. Tax-based regulation, however, yields a substantial dispersion in household-level impacts whereas heterogeneous household types are similarly affected under a promotion-based approach. Our analysis points to important trade-offs between efficiency and equity in environmental policy design.

Suggested Citation

  • Florian Landis, Sebastian Rausch, Mirjam Kosch, and Christoph Böhringer, 2019. "Efficient and Equitable Policy Design: Taxing Energy Use or Promoting Energy Savings?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
  • Handle: RePEc:aen:journl:ej40-1-rausch
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    Cited by:

    1. Rausch, Sebastian & Yonezawa, Hidemichi, 2023. "Green technology policies versus carbon pricing: An intergenerational perspective," European Economic Review, Elsevier, vol. 154(C).
    2. Landis, Florian & Rausch, Sebastian, 2019. "Policy Instrument Choice with Co-Benefits: The Case of Decarbonizing Transport," Conference papers 333103, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Zhao, Jiaxin & Mattauch, Linus, 2022. "When standards have better distributional consequences than carbon taxes," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    4. Colmenares, Gloria & Löschel, Andreas & Madlener, Reinhard, 2019. "The rebound effect and its representation in energy and climate models," CAWM Discussion Papers 106, University of Münster, Münster Center for Economic Policy (MEP).
    5. Xue, Jian & Guo, Na & Zhao, Laijun & Zhu, Di & Ji, Xiaoqin, 2020. "A cooperative inter-provincial model for energy conservation based on futures trading," Energy, Elsevier, vol. 212(C).
    6. Hänsel, Martin C. & Franks, Max & Kalkuhl, Matthias & Edenhofer, Ottmar, 2022. "Optimal carbon taxation and horizontal equity: A welfare-theoretic approach with application to German household data," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    7. Pothen, Frank & Hübler, Michael, 2021. "A forward calibration method for analyzing energy policy in new quantitative trade models," Energy Economics, Elsevier, vol. 100(C).
    8. Lijun Zeng & Wencheng Zhang & Muyi Yang, 2023. "A Bi-Level Optimization Model for Inter-Provincial Energy Consumption Transfer Tax in China," Energies, MDPI, vol. 16(21), pages 1-20, October.
    9. Florian Landis & Adriana Marcucci & Sebastian Rausch & Ramachandran Kannan & Lucas Bretschger, 2019. "Multi-model comparison of Swiss decarbonization scenarios," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-18, December.
    10. Martin K. Patel & Jean-Sébastien Broc & Haein Cho & Daniel Cabrera & Armin Eberle & Alessandro Federici & Alisa Freyre & Cédric Jeanneret & Kapil Narula & Vlasios Oikonomou & Selin Yilmaz, 2021. "Why We Continue to Need Energy Efficiency Programmes—A Critical Review Based on Experiences in Switzerland and Elsewhere," Energies, MDPI, vol. 14(6), pages 1-28, March.

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    JEL classification:

    • F0 - International Economics - - General

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