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 />
analysis is required to cover all trade flows between regions and to enable a complete regional and<br />
sectoral breakdown of the environmental impacts of goods and services (for a specification of full<br />
MRIO see Peters and Hertwich 2004 or Lenzen et al. 2004). The use of a full MRIO includes<br />
information on bilateral trade flows and enables a full exploration and unravelling of international<br />
supply chains.<br />
The last decade has seen a tremendous increase in applications of analytical and forecasting models<br />
based on environmentally extended input-output techniques. The crucial advantage of input-output<br />
based analysis is that it is possible to attribute environmental impacts to virtually any consumption<br />
activity, such as consumption of regions, nations, governments, cities, socio-economic groups or<br />
individuals, whether domestically or abroad (imports/exports); to virtually any production activity of<br />
organisations, companies, businesses, product manufacturing, service provision and so on and to<br />
virtually any associated economic activity in between such as supply chains, trade flows or recycling.<br />
Employing an EE-MRIO model for <strong>EIPOT</strong> accounting brings the following advantages:<br />
• An EE-MRIO framework is consistent with UN standards on economic (United Nations Statistics<br />
Division 1993) and environmental accounting (United Nations 2003b). This underpins its credibility<br />
and ensures future data availability and development.<br />
• Since economic and environmental data in an MRIO framework are consistent, these data are the<br />
core of global sectoral economic models. For example, the GTAP database (see Chapter 5) is<br />
used by many international governmental institutions in their modelling activities.<br />
• Models with a high sector disaggregation can be used to track international supply chains.<br />
Structural path analysis (SPA), a technique that can quantify specific supply chain links, has<br />
already been applied in multi-region input-output frameworks (Peters and Hertwich 2006, Lenzen et<br />
al. 2007b, Wood 2008, Wood and Lenzen in press). Although its implementation is not trivial,<br />
MRIO-SPA is ideally suited to extract and prioritise impacts from international commodity chains<br />
and to link geographical locations of consumption with hot spots of environmental impacts. MRIO-<br />
SPA can also be used to prioritise targets for action for corporate or government decision-makers<br />
(Wood and Lenzen 2003).<br />
• MRIO is the only practically conceivable method for the comprehensive assessment of activities of<br />
multi-national corporations, since these essentially represent a production network spanning<br />
multiple sectors in multiple countries.<br />
• Furthermore, comprehensive economic-environmental input-output model systems are well suited<br />
to perform scenario simulations of the environmental and socio-economic effects of implementing<br />
environmental policy measures. The model can be used to establish which policy strategies and<br />
instruments are best capable of reconciling competing policy goals in economic, social and<br />
environmental policies.<br />
• A (multi-region) input-output framework can also be used to illustrate the economic responsibilities<br />
of agents for inducing certain environmental pressures. IO analysis has been used several times to<br />
attribute responsibilities for greenhouse gas emissions or ecological footprints to producers and<br />
consumers, nationally or internationally (Munksgaard and Pedersen 2001, Gallego and Lenzen<br />
2005, Lenzen et al. 2007a, Wilting and Vringer 2007, Andrew and Forgie 2008, Peters and<br />
Hertwich 2008a, Rodrigues and Domingos 2008a, Munksgaard et al. 2009, Wilting and Ros 2009).<br />
However, as with all modelling approaches there are also disadvantages:<br />
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