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The consignment mechanism in carbon markets: A laboratory investigation

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  • Dormady, Noah
  • Healy, Paul J.

Abstract

Unlike other auction-based carbon emission markets, California's carbon market (AB32) utilizes a consignment auction design in which utilities are allocated a share of emissions permits that they must sell into the uniform-price auction. Auction revenue is returned to the consignee, which creates an incentive to increase the auction clearing price through strategic bidding. In a numerical example, we identify the incentive that consignees have to overstate their quantity demanded in the auction, since this increases the probability that the auction clears at a higher price. This results in inefficient allocations and inflated auction prices. We test this effect through a series of laboratory experiments and confirm these predictions. Findings indicate that short-run firm profits are lower in a consignment auction than in a non-consignment auction market, and that firms are more likely to not receive the quantity of permits they need for program compliance in the auction. We conclude with implications for the design and modification of future Coasian markets.

Suggested Citation

  • Dormady, Noah & Healy, Paul J., 2019. "The consignment mechanism in carbon markets: A laboratory investigation," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 51-65.
  • Handle: RePEc:eee:jocoma:v:14:y:2019:i:c:p:51-65
    DOI: 10.1016/j.jcomm.2018.07.003
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    Cited by:

    1. Hongpeng Guo & Zhihao Lv & Junyi Hua & Hongxu Yuan & Qingyu Yu, 2021. "Design of Combined Auction Model for Emission Rights of International Forestry Carbon Sequestration and Other Pollutants Based on SMRA," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
    2. Liu, Yun & Tan, Bowen, 2021. "Consignment auctions revisited," Economics Letters, Elsevier, vol. 203(C).
    3. Wang, M. & Zhou, P., 2022. "A two-step auction-refund allocation rule of CO2 emission permits," Energy Economics, Elsevier, vol. 113(C).
    4. Dormady, Noah & Roa-Henriquez, Alfredo & Hoyt, Matthew & Pesavento, Matthew & Koenig, Grace & Welch, William & Li, Zejun, 2025. "How are retail prices formed in restructured electricity markets?," Energy Economics, Elsevier, vol. 143(C).
    5. Li, Zhi & Zhang, Da & Zhang, Xiliang, 2022. "Emissions Trading with Consignment Auctions: A Lab-in-the-Field Experiment," EfD Discussion Paper 22-10, Environment for Development, University of Gothenburg.
    6. Jae-Do Song & Young-Hwan Ahn, 2021. "Price Discovery of Consignment Auctions for Emission Permits," Energies, MDPI, vol. 14(21), pages 1-13, October.
    7. Wang, Xu & Zhu, Lei & Liu, Pengfei, 2021. "Manipulation via endowments: Quantifying the influence of market power on the emission trading scheme," Energy Economics, Elsevier, vol. 103(C).
    8. Wang, Baixue & Duan, Maosheng, 2022. "Consignment auctions of emissions trading systems: An agent-based approach based on China’s practice," Energy Economics, Elsevier, vol. 112(C).

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    More about this item

    Keywords

    Emissions markets; Auctions; Energy markets; Energy policy; Environmental policy;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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