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Market power in emissions trading: Strategically manipulating permit price through fringe firms

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  • Tanaka, Makoto
  • Chen, Yihsu

Abstract

Tradable emission permits have received considerable attention recently. One emerging issue is its interaction with electricity markets, specifically, market power in the permit markets. One challenge in studying market power in the permit markets is that the demand for permits is implicitly determined by the system conditions. Traditional ways of modeling market power (e.g., standard Cournot model) cannot directly apply. This paper develops a model in which Cournot firms in the market can manipulate the permit price through fringe firms. We have two central findings in this paper. First, diverting emission permits from Cournot to fringe producers always reduce the power and the permit prices, which could improve social surplus. Second, when the fringe producer’s emission rate is low, diverting permits from the “dirty” (i.e., more-polluting) Cournot producer to the “clean” (i.e., less-polluting) Cournot producer leads to a decline of both power and permit prices. Therefore, the initial allocation of the emission permits could be a useful regulatory tool to mitigate the abuse of market power. We also illustrate these results through a numerical simulation of the California electricity market.

Suggested Citation

  • Tanaka, Makoto & Chen, Yihsu, 2012. "Market power in emissions trading: Strategically manipulating permit price through fringe firms," Applied Energy, Elsevier, vol. 96(C), pages 203-211.
  • Handle: RePEc:eee:appene:v:96:y:2012:i:c:p:203-211
    DOI: 10.1016/j.apenergy.2011.08.049
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    2. Nguyen, Hieu T. & Felder, Frank A., 2020. "Generation expansion planning with renewable energy credit markets: A bilevel programming approach," Applied Energy, Elsevier, vol. 276(C).
    3. Reihani, Ehsan & Motalleb, Mahdi & Thornton, Matsu & Ghorbani, Reza, 2016. "A novel approach using flexible scheduling and aggregation to optimize demand response in the developing interactive grid market architecture," Applied Energy, Elsevier, vol. 183(C), pages 445-455.
    4. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    5. Tanachai Limpaitoon, Yihsu Chen, and Shmuel S. Oren, 2014. "The Impact of Imperfect Competition in Emission Permits Trading on Oligopolistic Electricity Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    6. Bingxin Zeng & Lei Zhu, 2019. "Market Power and Technology Diffusion in an Energy-Intensive Sector Covered by an Emissions Trading Scheme," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    7. Francisco J. André & Luis Miguel de Castro, 2020. "Market Power in Output and Emissions Trading," Games, MDPI, vol. 11(4), pages 1-22, October.
    8. Anjos, Miguel F. & Feijoo, Felipe & Sankaranarayanan, Sriram, 2022. "A multinational carbon-credit market integrating distinct national carbon allowance strategies," Applied Energy, Elsevier, vol. 319(C).
    9. Wang, Xu & Zhu, Lei & Fan, Ying, 2018. "Transaction costs, market structure and efficient coverage of emissions trading scheme: A microlevel study from the pilots in China," Applied Energy, Elsevier, vol. 220(C), pages 657-671.
    10. Baamonde-Seoane, María A. & Carmen Calvo-Garrido, María del & Coulon, Michael & Vázquez, Carlos, 2021. "Numerical solution of a nonlinear PDE model for pricing Renewable Energy Certificates (RECs)," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    11. Geng, Wenxin & Fan, Ying, 2022. "An imperfectly competitive permit market under a rate-based scheme," Energy Economics, Elsevier, vol. 105(C).

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