Calculating energy-related CO2 emissions embodied in international trade using a global input-output model

Wiebe, Kirsten, Lutz, Christian, Bruckner, Martin and Giljum, Stefan, Calculating energy-related CO2 emissions embodied in international trade using a global input-output model. Economic Systems Research,

Document type:
Article

Metadata
Links
Versions
Statistics
  • Author Wiebe, Kirsten
    Lutz, Christian
    Bruckner, Martin
    Giljum, Stefan
    Title Calculating energy-related CO2 emissions embodied in international trade using a global input-output model
    Appearing in Economic Systems Research
    Abstract The Global Resource Accounting Model (GRAM) is an environmentally-extended multi-regional input–output model, covering 48 sectors in 53 countries and two regions. Next to CO2 emissions, GRAM also includes different resource categories. Using GRAM, we are able to estimate the amount of carbon emissions embodied in international trade for each year between 1995 and 2005. These results include all origins and destinations of emissions, so that emissions can be allocated to countries consuming the products that embody these emissions. Net-CO2 imports of OECD countries increased by 80% between 1995 and 2005. These findings become particularly relevant, as the externalisation of environmental burden through international trade might be an effective strategy for industrialised countries to maintain high environmental quality within their own borders, while externalising the negative environmental consequences of their consumption processes to other parts of the world. This paper focuses on the methodological aspects and data requirements of the model, and shows results for selected countries and aggregated regions.
    UNU Topics of Focus Trade
    Keyword Multi-regional input–output model
    Carbon footprint
    Trade
    Consumption-based carbon emissions
    DOI 10.1080/09535314.2011.643293
  • Versions
    Version Filter Type
  • Citation counts
    Scopus Citation Count Cited 0 times in Scopus Article
    Google Scholar Search Google Scholar
    Access Statistics: 305 Abstract Views  -  Detailed Statistics
    Created: Wed, 11 Dec 2013, 18:20:14 JST