IDEAS home Printed from https://ideas.repec.org/p/oec/stiaaa/2020-11-en.html

CO2 emissions embodied in international trade and domestic final demand: Methodology and results using the OECD Inter-Country Input-Output Database

Author

Listed:
  • Norihiko Yamano
  • Joaquim Guilhoto

Abstract

This paper describes the sources and methods used to estimate carbon emissions embodied in final demand and international gross trade for 65 economies over the period 2005-2015. Earlier OECD analyses of carbon footprints, accounting for global production networks, helped raise awareness of divergences between territorial and resident principles, and between production-based and consumption-based carbon emissions. Understanding the differences in these measures is important for governments to better understand and address greenhouse gas mitigation options. Thus, a new refined methodology was applied to allocate territorial emissions to production-based emissions (industries and households) using OECD Inter-Country Input-Output tables and International Energy Agency (IEA) CO2 emissions from fuel combustion statistics. In particular, this methodology introduces: 1) explicit distinctions between territorial and resident principles, economic output and final demand-based emissions and emissions embodied in gross imports and exports; 2) estimates by major fuel combustion sources; and 3) fuel purchases by non-resident industries and households.

Suggested Citation

  • Norihiko Yamano & Joaquim Guilhoto, 2020. "CO2 emissions embodied in international trade and domestic final demand: Methodology and results using the OECD Inter-Country Input-Output Database," OECD Science, Technology and Industry Working Papers 2020/11, OECD Publishing.
  • Handle: RePEc:oec:stiaaa:2020/11-en
    DOI: 10.1787/8f2963b8-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/8f2963b8-en
    Download Restriction: no

    File URL: https://libkey.io/10.1787/8f2963b8-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

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    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:2020/11-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.