EIPOT Final Project Report - Stockholm Environment Institute
EIPOT Final Project Report - Stockholm Environment Institute
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 />
• Hybrid LCA is already a combination of LCA and SRIO, but is more laborious than the individual<br />
methods. However, combining it with MRIO modelling would be a useful extension.<br />
Dynamic models, which are often based on one of the core methods (IO, LCA or hybrid), are a<br />
valuable extension to convert into an early warning and forecasting tool. Econometric models explore<br />
changes in environmental pressures, for example from policy measures like trade tariffs or regulation.<br />
Since most dynamic and econometric approaches are covered by the static core methods (or the data<br />
they use), these approaches are not considered explicitly in the remaining chapters.<br />
The most promising way forward appears to combine various methods and synthesise best-suited<br />
elements from different existing approaches.<br />
4 Recommendations on Methodology<br />
4.1 General conceptual design<br />
A variety of approaches and indicators have been developed to assess the environmental impacts of<br />
products and resource use. Among them are life cycle assessment of products (process LCA),<br />
economy-wide material flow analysis (MFA), environmentally extended input-output analysis (EE-IOA)<br />
and ecological footprint (EF) analysis. Following the results of our RACER analysis, the most<br />
promising way forward seems to be a combination of available or emerging methods. In contrast, the<br />
parallel use of, say, three detached methods does not appear to be effective or easily practicable.<br />
<strong>EIPOT</strong> focussed on trade flows between different economies and production sectors within them, not<br />
on specific products. This is a crucial decision, as obviously macro- (and meso-) economic questions<br />
can be resolved best with methodologies different to those suited for micro-economic problems.<br />
Life cycle assessment (LCA) originating from engineering and input-output analysis (IOA) originating<br />
from economics have several conceptual differences. They differ in their data inputs and guidelines for<br />
collecting these data (ISO standards versus System of National Accounts, SNA). Since both methods<br />
consider entire production chains, they should in theory generate the same outcomes in analysing the<br />
same question. However, given their conceptual differences their applicability is not similar. The<br />
environmental impact of one traded product, for instance, is probably quantified best using an LCA<br />
approach. LCA theoretically might be applicable to trade flows, however in practice it appears to be<br />
unpractical. Apart from unsatisfactory data availability in the foreseeable future, the number of traded<br />
products is enormous, and individual supply chains are too complex. On the other hand, IOA is more<br />
applicable at the level of aggregated trade flows on the meso and macro level.<br />
Since <strong>EIPOT</strong>’s main aim is to recommend a methodology to quantify and assess environmental<br />
impacts of trade flows, rather than individual products, a medium level of aggregation seems<br />
appropriate for this purpose. A resolution of around 100 to 200 sectors is a desirable and practical<br />
compromise that still allows the distinction of high-impact sectors whilst keeping data and<br />
computational requirements at a manageable level. Further details are discussed below.<br />
We therefore regard EE-IOA with the SEEA (System of Economic and <strong>Environment</strong>al Accounts)<br />
framework as an ideal basis for an <strong>EIPOT</strong> methodology. The RACER analysis proved that EE-IOA is a<br />
generally accepted, credible and robust methodology. EE-IOA is commonly used to derive the indirect<br />
environmental pressures associated with the final use of products and services in a given economy.<br />
EE-IOA can be used to help to sum up all environmental pressures arising along the production chain<br />
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