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Combination of the Swiss agrarian sector model SILAS-dyn with the life cycle assessment tool SALCA


  • Zimmermann, Albert


The agricultural sector model SILAS-dyn has been used by Agroscope ART for 10 years for the political advisory of the Swiss agricultural administration. To evaluate the environmental effects of different policy scenarios, a LCA module has been developed, connecting a hierarchical linkage to an existing LCA calculating tool. This lowers the formulation input and simplifies the adaptation of updated environmental models. The results of four scenarios show, through the example of energy use as an environmental impact, that indirect effects, such as energy use in the context of imported concentrates, can influence conclusions significantly. The scenario suggesting an increase of fertiliser prices does not change the results significantly, whereas higher energy prices increase the pressure upon energy-intensive activities.

Suggested Citation

  • Zimmermann, Albert, 2008. "Combination of the Swiss agrarian sector model SILAS-dyn with the life cycle assessment tool SALCA," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6603, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa107:6603

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    References listed on IDEAS

    1. Lehtonen, Heikki & Lankoski, Jussi E. & Niemi, Jyrki S. & Ollikainen, Markku, 2005. "The Impacts of Alternative Policy Scenarios on Multifunctionality," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24459, European Association of Agricultural Economists.
    2. Mohring, Anke & Zimmermann, Albert, 2005. "Construction and Application of an LP Farm Model with an Integrated Life Cycle Assessment for the Determination of Sustainable Milk Production Systems," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24714, European Association of Agricultural Economists.
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    Sector model; LP; Political advisory; LCA; Income; Agricultural and Food Policy; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy;

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