IDEAS home Printed from https://ideas.repec.org/a/taf/tcpoxx/v6y2006i1p49-72.html

CO 2 cost pass-through and windfall profits in the power sector

Author

Listed:
  • Jos Sijm
  • Karsten Neuhoff
  • Yihsu Chen

Abstract

In order to cover their CO 2 emissions, power companies receive most of the required EU ETS allowances for free. In line with economic theory, these companies pass on the costs of these allowances in the price of electricity. This article analyses the implications of the EU ETS for the power sector, notably the impact of free allocation of CO 2 emission allowances on the price of electricity and the profitability of power generation. As well as some theoretical reflections, the article presents empirical and model estimates of CO 2 cost pass-through for Germany and The Netherlands, indicating that pass-through rates vary between 60 and 100% of CO 2 costs, depending on the carbon intensity of the marginal production unit and various other market- or technology-specific factors. As a result, power companies realize substantial windfall profits, as indicated by the empirical and model estimates presented in the article.

Suggested Citation

  • Jos Sijm & Karsten Neuhoff & Yihsu Chen, 2006. "CO 2 cost pass-through and windfall profits in the power sector," Climate Policy, Taylor & Francis Journals, vol. 6(1), pages 49-72, January.
    • Handle: RePEc:taf:tcpoxx:v:6:y:2006:i:1:p:49-72
    DOI: 10.1080/14693062.2006.9685588
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14693062.2006.9685588
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14693062.2006.9685588?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

    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:taf:tcpoxx:v:6:y:2006:i:1:p:49-72. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tcpo20 .

    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.