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EIPOT Final Project Report - Stockholm Environment Institute

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ERA-NET SKEP <strong>Project</strong> <strong>EIPOT</strong> (www.eipot.eu)<br />

“Development of a methodology for the assessment of global environmental impacts of traded goods and services”<br />

The report suggests that an ideal basis for a suitable <strong>EIPOT</strong> methodology would be an<br />

environmentally extended multi-region input-output (EE-MRIO) framework closely connected to the<br />

System of Economic and <strong>Environment</strong>al Accounts (SEEA). The main elements of this accounting<br />

framework should include the following:<br />

• monetary input-output tables of all EU countries plus an equal number of EU trading partners in a<br />

resolution of more than 100 economic sectors;<br />

• detailed, bilateral trade datasets for goods and services in monetary (and possibly physical) units;<br />

• complete tables of environmental accounts, further disaggregated with process analysis and LCA<br />

data, for a number of environmental extensions: emissions, material flows, energy use, land use,<br />

water use, air emissions, waste production, bioproductivity, biodiversity and other impact<br />

categories;<br />

• For specific policy and research questions, data from process analysis and life cycle analysis (LCA)<br />

can be incorporated into hybrid approaches and/or to enumerate specific processes (such as<br />

international transportation or waste management practices).<br />

The report explores various possibilities of hybridisation between monetary and physical data and<br />

between input-output and process analysis. Examples of recent hybrid LCA studies are provided to<br />

demonstrate the feasibility and usefulness of such approaches. Further recommendations include:<br />

• Each application should begin with a top-down analysis using the EE-MRIO model. The analysis<br />

can then be specified and refined with bottom-up techniques as and when required.<br />

• To investigate local and regional impacts, which can differ significantly between countries and<br />

regions, the EE-MRIO model should be integrated with spatially explicit models of environmental<br />

impacts.<br />

• Structural path analysis in a multi-region input-output framework (MRIO-SPA) is a suitable<br />

technique to identify significant pressures or impacts along (international and national) supply<br />

chains. This top-down analysis should be used routinely in MRIO modelling to shape further<br />

research and policies.<br />

• Despite the many advantages of an EE-MRIO model, users should be aware of its limitations.<br />

These include the effort required to set up the EE-MRIO system, time gaps or assumptions in the<br />

update of the IO tables and limited suitability to assess individual products.<br />

In terms of data sources, availability and accuracy, the report describes the requirements for<br />

economic, environmental, trade and process/LCA data, including those for transportation and impact<br />

characterisation. Uncertainty implications are also discussed in detail. The report recommends:<br />

• Data from the European Framework 7 project EXIOPOL, once available, should be used to<br />

construct the basic EE-MRIO framework.<br />

• Data from other meta-databases, such as the Global Trade Analysis <strong>Project</strong> (GTAP), can be used<br />

to fill gaps in country coverage, sector data, and environmental extensions. In contrast to EXIOPOL<br />

(the data of which will only be fully available in 2011) the GTAP 7 database has been released in<br />

2009.<br />

• Supply and use tables (SUTs), rather than symmetric input-output tables (SIOTs), should be used if<br />

they are more detailed and up to date. Nevertheless, technology assumptions made in symmetric<br />

tables are of superior quality and the trade-off between SUTs and SIOTs should be decided on a<br />

case–by-case basis.<br />

• Non-survey based balancing procedures should be used to re-balance hybridised IO tables, update<br />

matrices and produce time series if no superior original data are available.<br />

3

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