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Impact of the Allowance Allocation on Prices and Efficiency

Author

Listed:
  • Karsten Neuhoff

    (Cambridge University)

  • Michael Grubb

    (Imperial College, Cambridge University and Carbon Trust)

  • Kim Keats

    (ICF Consulting)

Abstract

Successful cap and trade programs for SO2 and NOx in the US allocate allowances to large emitters based on a historic base line for a period of up to thirty years. National Allocation Plans in Europe allocate CO2 allowances in an iterative approach first for a three then for a five-year period. The potential updating of the base line creates perverse incentives for operation and investment. Some allowances are also reserved for new entrants further distorting the scheme. We use analytic models and numeric simulations for the UK power sector to illustrate and quantify how these effects contribute to an inflation of the allowance price while reducing utilisation and investment in efficient technologies. The inflated allowance prices are likely to increase the European allowance budget and emissions, e.g. through the Linking Directive. As a result opportunity costs of emitting CO2 are reduced relative to an efficient cap and trade program.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Karsten Neuhoff & Michael Grubb & Kim Keats, 2005. "Impact of the Allowance Allocation on Prices and Efficiency," Working Papers EPRG 0508, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg0508
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    Citations

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    Cited by:

    1. Donald N. Dewees, 2008. "Pollution and the Price of Power," The Energy Journal, , vol. 29(2), pages 81-100, April.
    2. Karsten Neuhoff & Markus Åhman & Regina Betz & Johanna Cludius & Federico Ferrario & Kristina Holmgren & Gabriella Pal & Michael Grubb & Felix Matthes & Karoline Rogge & Misato Sato & Joachim Schleich, 2006. "Implications of announced phase II national allocation plans for the EU ETS," Climate Policy, Taylor & Francis Journals, vol. 6(4), pages 411-422, July.
    3. Yu-Jie Hu & Lishan Yang & Fali Duan & Honglei Wang & Chengjiang Li, 2022. "A Scientometric Analysis and Review of the Emissions Trading System," Energies, MDPI, vol. 15(12), pages 1-20, June.
    4. Michael Grubb & Christian Azar & U. Martin Persson, 2005. "Allowance allocation in the European emissions trading system: a commentary," Climate Policy, Taylor & Francis Journals, vol. 5(1), pages 127-136, January.
    5. Jinye Zhao & Benjamin F. Hobbs & Jong-Shi Pang, 2010. "Long-Run Equilibrium Modeling of Emissions Allowance Allocation Systems in Electric Power Markets," Operations Research, INFORMS, vol. 58(3), pages 529-548, June.
    6. Demailly, Damien & Quirion, Philippe, 2008. "Changing the Allocation Rules in the EU ETS: Impact on Competitiveness and Economic Efficiency," Climate Change Modelling and Policy Working Papers 46623, Fondazione Eni Enrico Mattei (FEEM).
    7. Christoph Weber & Philip Vogel, 2014. "Contingent certificate allocation rules and incentives for power plant investment and disinvestment," Journal of Regulatory Economics, Springer, vol. 46(3), pages 292-317, December.
    8. Harstad, Bård & Eskeland, Gunnar S., 2010. "Trading for the future: Signaling in permit markets," Journal of Public Economics, Elsevier, vol. 94(9-10), pages 749-760, October.

    More about this item

    Keywords

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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General

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