IDEAS home Printed from https://ideas.repec.org/p/oec/stiaaa/2016-5-en.html
   My bibliography  Save this paper

Estimating CO2 Emissions Embodied in Final Demand and Trade Using the OECD ICIO 2015: Methodology and Results

Author

Listed:
  • Kirsten S. Wiebe
  • Norihiko Yamano

    (OECD)

Abstract

Reliable carbon emissions statistics are essential for formulating responses to climate change including global negotiations such as those concluded in Kyoto in 1997 or recently in Paris at COP21. Typically, emissions statistics are compiled according to production-based or territorial emission accounting methods: measuring emissions occurring within sovereign borders. However, these estimates do not account for global production chains i.e. emissions from many countries may be implicated in the production of final goods and services. Using the 2015 edition of the OECD Inter-Country Input-Output (ICIO) tables and detailed IEA CO2 emissions from fuel combustion data, estimates of emissions embodied in final demand and in international trade were generated to contribute to a better understanding of how CO2 emissions around the world are driven by global consumption patterns. After explaining the methodology in detail, some general results are described and examples given of how to use and interpret the derived indicators.

Suggested Citation

  • Kirsten S. Wiebe & Norihiko Yamano, 2016. "Estimating CO2 Emissions Embodied in Final Demand and Trade Using the OECD ICIO 2015: Methodology and Results," OECD Science, Technology and Industry Working Papers 2016/5, OECD Publishing.
  • Handle: RePEc:oec:stiaaa:2016/5-en
    DOI: 10.1787/5jlrcm216xkl-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/5jlrcm216xkl-en
    Download Restriction: no

    File URL: https://libkey.io/10.1787/5jlrcm216xkl-en?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
    ---><---

    More about this item

    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:oec:stiaaa:2016/5-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/scoecfr.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.