Skip to main content
Economic Systems ResearchVolume 24, Issue 2, 2012, Pages 113-139

Calculating energy-related CO 2 emissions embodied in international trade using a global input-output model(Article)

  Save all to author list
  • aGesellschaft für Wirtschaftliche Strukturforschung mbH, Osnabrück, Germany
  • bUnited Nations University MERIT, Maastricht, Netherlands
  • cSustainable Europe Research Institute, Vienna, Austria

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 CO 2 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-CO 2 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. © 2012 The International Input-Output Association.

Author keywords

Carbon footprintConsumption-based carbon emissionsMulti-regional input-output modelTrade

Indexed keywords

GEOBASE Subject Index:carbon dioxidecarbon emissionemissions tradingenvironmental qualityinput-output analysisinternational trademodelingOECD
  • ISSN: 09535314
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1080/09535314.2011.643293
  • Document Type: Article

  Wiebe, K. S.; Gesellschaft für Wirtschaftliche Strukturforschung mbH, Germany;
© Copyright 2012 Elsevier B.V., All rights reserved.

Cited by 101 documents

Osei-Owusu, A.K. , Wood, R. , Bjelle, E.L.
Understanding the trends in Denmark's global food trade-related greenhouse gas and resource footprint
(2021) Journal of Cleaner Production
Weber, S. , Gerlagh, R. , Mathys, N.A.
CO2 embodied in trade: trends and fossil fuel drivers
(2021) Environmental Science and Pollution Research
Le Noë, J. , Erb, K.-H. , Matej, S.
Socio-ecological drivers of long-term ecosystem carbon stock trend: An assessment with the LUCCA model of the French case
(2021) Anthropocene
View details of all 101 citations
{"topic":{"name":"Structural Decomposition Analysis; Input-output Analysis; Material Flow Analysis","id":2456,"uri":"Topic/2456","prominencePercentile":99.82798,"prominencePercentileString":"99.828","overallScholarlyOutput":0},"dig":"15ba8e3a0f01438cc2c23b87eb9937ecae4f0a9f31c0ddb30662649c0956b2b6"}

SciVal Topic Prominence

Topic:
Prominence percentile: