16.05.2014 Views

EIPOT Final Project Report - Stockholm Environment Institute

EIPOT Final Project Report - Stockholm Environment Institute

EIPOT Final Project Report - Stockholm Environment Institute

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

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 following criteria should be considered by modellers when choosing SUTs or SIOTs:<br />

• Frequency of publication: in most cases SUTs are published more frequently than SIOTs and are<br />

more up to date, with a time lag of only one to three years.<br />

• Level of sectoral disaggregation: SUTs often have a finer sector disaggregation than SIOTs. The<br />

sector breakdown for products in particular is often considerably higher in SUTs. However, some<br />

NSOs choose to publish aggregated information only or suppress data for confidentiality reasons.<br />

In these cases, the supply tables from Eurostat may provide more detailed information and can be<br />

used instead (the UK is one such example, see Wiedmann et al. 2008b).<br />

• Flexibility: arranging data in SUT blocks in an MRIO allows the user to associate physical<br />

information, such as resource use or environmental pressures, to industries and commodities. This<br />

allows a wider range of policy and research questions to be addressed. One important issue for<br />

hybridisation is the fact that information on production processes can more readily be associated<br />

with the original information on supply and use than with altered SIOT data.<br />

• Quality of information: SIOTs produced by statistical offices contain superior information on coproduction,<br />

as they are normally produced with a hybrid technology assumption based on primary<br />

financial information at the firm level. Supply matrices are often restricted by confidentiality which is<br />

reflected in crossed-out cell values and/or a higher sector aggregation. On the other hand they<br />

reveal valuable information on co-production.<br />

• Consistency: Supra-national databases such as those from Eurostat, OECD or GTAP adhere to a<br />

standardised, consistent format which allows for simple direct comparisons. Whilst Eurostat reports<br />

in both SUT and SIOT format, OECD and GTAP report symmetric tables only.<br />

In the FP-7-EU project EXIOPOL, both SUT and IOT play a central role. While analysis is performed<br />

using SIOTs, national SUTs provide the foundation for constructing symmetric tables. <strong>Environment</strong>al<br />

extensions are added in various ways to the SUTs (related to products and industries). SUTs (which<br />

can be rectangular) are then linked via the trade of products (Bouwmeester and Oosterhaven 2008).<br />

This results in multi-regional, environmentally extended SUTs which in turn are transformed into<br />

various types of SIOTs (Rueda-Cantuche et al. 2009).<br />

The approach taken in EXIOPOL appears to be comprehensive and feasible. Certainly, the<br />

construction of IOTs out of SUTs is time-consuming. However, once this procedure has been carried<br />

out, it is far easier to repeat it to include additional years.<br />

5.1.2 Data sources for environmental data<br />

European data<br />

Most environmental accounts in Europe follow the Dutch NAMEA perspective (de Haan and Keuning<br />

1996) where all environmental data are compiled per industry as in the SUTs. This means that all<br />

environmental variables are a direct satellite account to the national accounts and to economic<br />

activities of industries and that the same system borders, classifications and definitions are used.<br />

Some environmentally relevant economic activities occur in the final demand part of the IO tables –<br />

private transport and housing – and are also included.<br />

Normally, energy statistics are used as the basis for compiling and allocating emission data over<br />

industries and final demand. Thus, there is consistency between energy use per fuel and emissions to<br />

46

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!