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Output-based allocations in pollution markets with uncertainty and self-selection

Author

Listed:
  • Guy Meunier

    (ALISS - Alimentation et sciences sociales - INRA - Institut National de la Recherche Agronomique, X-DEP-ECO - Département d'Économie de l'École Polytechnique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris)

  • Juan-Pablo Montero

    (UC - Pontificia Universidad Católica de Chile)

  • Jean-Pierre Ponssard

    (CNRS - Centre National de la Recherche Scientifique, X-DEP-ECO - Département d'Économie de l'École Polytechnique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris)

Abstract
We study pollution permit markets in which a fraction of permits are allocated to firms based on their output. Output-based allocations, which are receiving increasing attention in the design of carbon markets around the world (e.g., Europe, California, New Zealand), are shown to be optimal under demand and supply volatility despite the output distortions they may create. In a market that covers multiple sectors, the optimal design combines auctioned permits with output-based allocations that are specific to each sector and increasing in its volatility. When firms are better informed about the latter or must self select, the regulator resort to some free (i.e., lump-sum) allocations to sort firms out. Numerical exercises illustrate the policy relevance of our results: the gains from considering output-based allocations can be substantial.

Suggested Citation

  • Guy Meunier & Juan-Pablo Montero & Jean-Pierre Ponssard, 2016. "Output-based allocations in pollution markets with uncertainty and self-selection," Working Papers hal-01321372, HAL.
  • Handle: RePEc:hal:wpaper:hal-01321372
    Note: View the original document on HAL open archive server: https://hal.science/hal-01321372
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    References listed on IDEAS

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    Cited by:

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    2. Kollenberg, Sascha & Taschini, Luca, 2019. "Dynamic supply adjustment and banking under uncertainty in an emission trading scheme: The market stability reserve," European Economic Review, Elsevier, vol. 118(C), pages 213-226.
    3. Zaklan, Aleksandar & Wachsmuth, Jakob & Duscha, Vicki, 2021. "The EU ETS to 2030 and beyond: adjusting the cap in light of the 1.5°C target and current energy policies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 21(6), pages 778-791.
    4. Lange, Ian & Maniloff, Peter, 2021. "Updating allowance allocations in cap-and-trade: Evidence from the NOx Budget Program," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    5. Reyer Gerlagh & Roweno J.R.K. Heijmans, 2018. "Regulating Stock Externalities," CESifo Working Paper Series 7383, CESifo.
    6. Aleksandar Zaklan, 2023. "Coase and Cap-and-Trade: Evidence on the Independence Property from the European Carbon Market," American Economic Journal: Economic Policy, American Economic Association, vol. 15(2), pages 526-558, May.
    7. Dardati, Evangelina & Saygili, Meryem, 2020. "Aggregate impacts of cap-and-trade programs with heterogeneous firms," Energy Economics, Elsevier, vol. 92(C).
    8. Philippe Quirion, 2022. "Output-based allocation and output-based rebates: a survey," Chapters, in: Handbook on Trade Policy and Climate Change, chapter 7, pages 94-107, Edward Elgar Publishing.
    9. Meunier, Guy & Montero, Juan-Pablo & Ponssard, Jean-Pierre, 2017. "Using output-based allocations to manage volatility and leakage in pollution markets," Energy Economics, Elsevier, vol. 68(S1), pages 57-65.
    10. René Aïd & Sara Biagini, 2023. "Optimal dynamic regulation of carbon emissions market," Mathematical Finance, Wiley Blackwell, vol. 33(1), pages 80-115, January.
    11. Gregor Zoettl, 2021. "Emission trading systems and the optimal technology mix," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(2), pages 281-327, June.
    12. Cathrine Hagem & Michael Hoel & Thomas Sterner, 2020. "Refunding Emission Payments: Output-Based Versus Expenditure-Based Refunding," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(3), pages 641-667, November.
    13. Cao, Jing & Ho, Mun S. & Ma, Rong & Teng, Fei, 2021. "When carbon emission trading meets a regulated industry: Evidence from the electricity sector of China," Journal of Public Economics, Elsevier, vol. 200(C).
    14. Wang, Ge & Zhang, Qi & Li, Yan & Mclellan, Benjamin C., 2019. "Efficient and equitable allocation of renewable portfolio standards targets among China's provinces," Energy Policy, Elsevier, vol. 125(C), pages 170-180.

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    More about this item

    Keywords

    pollution markets; output-based allocations; market volatility; selfselection; climate policy;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • L74 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Construction

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