IDEAS home Printed from https://ideas.repec.org/p/lmu/muenec/12151.html
   My bibliography  Save this paper

Emission Trading Systems and the Optimal Technology Mix

Author

Listed:
  • Zöttl, Gregor

Abstract

Cap and trade mechanisms enjoy increasing importance in environmental legislation worldwide. The most prominent example is probably given by the European Union Emission Trading System (EU ETS) designed to limit emissions of greenhouse gases, several other countries already have or are planning the introduction of such systems. One of the important aspects of designing cap and trade mechanisms is the possibility of competition authorities to grant emission permits for free. Free allocation of permits which is based on past output or past emissions can lead to inefficient production decisions of firms’ (compare for example B¨ohringer and Lange (2005), Rosendahl (2007), Mackenzie et al. (2008), Harstad and Eskeland (2010)). Current cap and trade systems grant free allocations based on installed production facilities, which lead to a distortion of firms’ investment incentives, however. It is the purpose of the present article to study the impact of a cap and trade mechanism on firms’ investment and production decisions and to analyze the optimal design of emission trading systems in such an environment.

Suggested Citation

  • Zöttl, Gregor, 2011. "Emission Trading Systems and the Optimal Technology Mix," Discussion Papers in Economics 12151, University of Munich, Department of Economics.
  • Handle: RePEc:lmu:muenec:12151
    as

    Download full text from publisher

    File URL: https://epub.ub.uni-muenchen.de/12151/1/CO2_Zoettl_WP.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. von der Fehr, Nils-Henrik Morch & Harbord, David, 1993. "Spot Market Competition in the UK Electricity Industry," Economic Journal, Royal Economic Society, vol. 103(418), pages 531-546, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moritz Bohland & Sebastian Schwenen, 2020. "Technology Policy and Market Structure: Evidence from the Power Sector," Discussion Papers of DIW Berlin 1856, DIW Berlin, German Institute for Economic Research.
    2. Waterson, Michael, 2023. "Platforms as arbitrageurs and facilitators of arbitrage- a simple analysis," The Warwick Economics Research Paper Series (TWERPS) 1481, University of Warwick, Department of Economics.
    3. Bonacina, Monica & Gulli`, Francesco, 2007. "Electricity pricing under "carbon emissions trading": A dominant firm with competitive fringe model," Energy Policy, Elsevier, vol. 35(8), pages 4200-4220, August.
    4. Holmberg, Pär & Newbery, David & Ralph, Daniel, 2013. "Supply function equilibria: Step functions and continuous representations," Journal of Economic Theory, Elsevier, vol. 148(4), pages 1509-1551.
    5. Ciarreta, Aitor & Espinosa, Maria Paz & Pizarro-Irizar, Cristina, 2017. "Has renewable energy induced competitive behavior in the Spanish electricity market?," Energy Policy, Elsevier, vol. 104(C), pages 171-182.
    6. Andrew Sweeting, 2007. "Market Power In The England And Wales Wholesale Electricity Market 1995-2000," Economic Journal, Royal Economic Society, vol. 117(520), pages 654-685, April.
    7. Crawford, Gregory S. & Crespo, Joseph & Tauchen, Helen, 2007. "Bidding asymmetries in multi-unit auctions: Implications of bid function equilibria in the British spot market for electricity," International Journal of Industrial Organization, Elsevier, vol. 25(6), pages 1233-1268, December.
    8. Christian Schultz, 2005. "Virtual Capacity and Competition," CESifo Working Paper Series 1487, CESifo.
    9. van Ackere, Ann & Ochoa, Patricia, 2010. "Managing a hydro-energy reservoir: A policy approach," Energy Policy, Elsevier, vol. 38(11), pages 7299-7311, November.
    10. James Nicolaisen & Valentin Petrov & Leigh Tesfatsion, 2000. "Market Power and Efficiency in a Computational Electricity Market with Discriminatory Double-Auction Pricing," Computational Economics 0004005, University Library of Munich, Germany.
    11. Puzzello, Daniela, 2008. "Tie-breaking rules and divisibility in experimental duopoly markets," Journal of Economic Behavior & Organization, Elsevier, vol. 67(1), pages 164-179, July.
    12. Swider, Derk J. & Weber, Christoph, 2007. "Bidding under price uncertainty in multi-unit pay-as-bid procurement auctions for power systems reserve," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1297-1308, September.
    13. Cardell, Judith B. & Hitt, Carrie Cullen & Hogan, William W., 1997. "Market power and strategic interaction in electricity networks," Resource and Energy Economics, Elsevier, vol. 19(1-2), pages 109-137, March.
    14. Heikki Peura & Derek W. Bunn, 2015. "Dynamic Pricing of Peak Production," Operations Research, INFORMS, vol. 63(6), pages 1262-1279, December.
    15. Hunt Allcott, 2012. "The Smart Grid, Entry, and Imperfect Competition in Electricity Markets," NBER Working Papers 18071, National Bureau of Economic Research, Inc.
    16. Brown, David P., 2018. "The effect of subsidized entry on capacity auctions and the long-run resource adequacy of electricity markets," Energy Economics, Elsevier, vol. 70(C), pages 205-232.
    17. Natalia Fabra & Nils‐Henrik Fehr & David Harbord, 2006. "Designing electricity auctions," RAND Journal of Economics, RAND Corporation, vol. 37(1), pages 23-46, March.
    18. Bottazzi, G. & Sapio, S. & Secchi, A., 2005. "Some statistical investigations on the nature and dynamics of electricity prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 54-61.
    19. Brown, David P., 2018. "Capacity payment mechanisms and investment incentives in restructured electricity markets," Energy Economics, Elsevier, vol. 74(C), pages 131-142.

    More about this item

    Keywords

    Emissions Trading; Free Allocation; Investment Incentives; Technology Mix;
    All these keywords.

    JEL classification:

    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lmu:muenec:12151. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tamilla Benkelberg (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.