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University of Vaasa - Vaasan yliopisto

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553<br />

especially emissions, to prove the advantage <strong>of</strong> bioenergy use (for example, ExternE<br />

project). Some socio-economical externalities are also considered. For example,<br />

externalities evaluation models based on multipliers as BIOSEM (Stravroulia 2003),<br />

ABM (Madlener et al. 2000), or INPUT-OUTPUT models (Avonds et al. 2004;<br />

Federal Planning Bureau 2006) assess employment and income externalities <strong>of</strong><br />

bioenergy. Some other models as ELVIRE, SAFIRE, or PLANET try to take into<br />

account socio-economical and environmental externalities but they evaluate only few<br />

externalities. A large number <strong>of</strong> externalities is never integrated into a same model<br />

(Stirling 1997; Madlener et al. 2000; Domac et al. 2000; Hektor 2002; O’Doherty et<br />

al. 2007), except in the CASES project (CASES 2006; CASES 2007) which gathers<br />

different models to evaluate a greater number <strong>of</strong> socio-economical and<br />

environmental externalities.<br />

From this literature review, it also appears that, even if several methods to monetize<br />

externalities exist (Pearce et al. 2006; Atkinson et al. 2007; De Palma et al. 2007;<br />

Jenkins et al. 2007), externalities are sometimes quantified (tons <strong>of</strong> CO2 emitted,<br />

number <strong>of</strong> jobs created…) but rarely monetized (cost <strong>of</strong> one ton <strong>of</strong> CO2, benefits<br />

from job creation…).<br />

In order to enhance bioenergy externalities evaluation and monetization, we propose,<br />

in section 2, a list <strong>of</strong> externalities or sustainability criteria that were selected through<br />

literature and stakeholders' consultation. Section 3 focuses on the articulation <strong>of</strong><br />

those sustainability criteria. We use sub-models to study cause-effect relationships,<br />

feedbacks, induced and non-linear effects, and to build the global qualitative model.<br />

In section 4, we conclude, giving the limitations <strong>of</strong> the proposed model and the<br />

perspectives <strong>of</strong> future research.<br />

This research is the first step in the design <strong>of</strong> a quantitative model allowing the<br />

evaluation and comparison <strong>of</strong> those externalities for different bioenergy routes. It<br />

will enable, on the one hand, the monetization <strong>of</strong> measurable sustainability criteria<br />

and their introduction in a policy support model, and, on the other hand, the<br />

qualitative assessment <strong>of</strong> other sustainability criteria and their potential introduction<br />

in a certification scheme.<br />

Selection <strong>of</strong> Externalities or Sustainability Criteria<br />

“An externality is present whenever the well-being <strong>of</strong> a consumer or the production<br />

possibilities <strong>of</strong> a firm are directly affected by the actions <strong>of</strong> another agent in the<br />

economy” (Mas-Colell et al. 1995). Externalities are goods which have positive or<br />

negative interest for economic agents but that are not sold on market. As externalities<br />

are market imperfections, they can prevent Pareto efficient allocation <strong>of</strong> resources<br />

(Varian 1994).<br />

To define a list <strong>of</strong> externalities to take into account when assessing bioenergy routes,<br />

we consider a panel <strong>of</strong> initiatives led by different stakeholders (consultants,<br />

government representatives, distributors, social and/or environmental Non-<br />

Governmental Organizations (NGOs)…) on different agricultural products (soy,<br />

palm oil, fruits and vegetables, c<strong>of</strong>fee, wood…):

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