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Policy relevance of three integrated assessment tools—A comparison with specific reference to agricultural policies

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  • Uthes, Sandra
  • Fricke, Katharina
  • König, Hannes
  • Zander, Peter
  • van Ittersum, Martin
  • Sieber, Stefan
  • Helming, Katharina
  • Piorr, Annette
  • Müller, Klaus

Abstract

The Common Agricultural Policy (CAP), a system of market support instruments, direct income transfers, and rural development measures, has been put through an ongoing reform process in recent decades. This paper introduces three policy impact assessment tools (SIAT, SEAMLESS-IF, MEA-Scope tool) and analyses how these tools have responded to a number of challenges for integrated assessment modelling as reported in the international literature. Significant progress has been made with regard to modelling linkages whereas other challenges, particularly those related to issues of scale and uncertainty management, require further efforts. It is also analysed which CAP instruments are represented and what kinds of effects can be analysed at different scales. Market instruments and direct payments are comparatively well represented, while the ability to model rural development measures is mostly beyond the scope of these tools. Because each tool has found a different solution for coping with the common challenges of integrated assessment modelling, the choice of one of the tools for a particular application depends strongly on the policy questions being asked. The SIAT provides the big picture via its ability to represent broad changes in policy instruments with EU-wide cross-sector impacts. The most comprehensive analysis of agricultural policy instruments can be obtained with SEAMLESS-IF. The MEA-Scope tool complements the other two approaches with detailed regional profiles.

Suggested Citation

  • Uthes, Sandra & Fricke, Katharina & König, Hannes & Zander, Peter & van Ittersum, Martin & Sieber, Stefan & Helming, Katharina & Piorr, Annette & Müller, Klaus, 2010. "Policy relevance of three integrated assessment tools—A comparison with specific reference to agricultural policies," Ecological Modelling, Elsevier, vol. 221(18), pages 2136-2152.
  • Handle: RePEc:eee:ecomod:v:221:y:2010:i:18:p:2136-2152
    DOI: 10.1016/j.ecolmodel.2009.08.010
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    4. Kristkova, Zuzana & Ratinger, T., 2013. "Modelling the Efficiency of Agri-Environmental Payments to Czech Agriculture in a CGE Framework Incorporating Public Goods Approach," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(2), pages 1-13, June.
    5. Fernández, Francisco J. & Blanco, Maria, 2015. "Modelling the economic impacts of climate change on global and European agriculture: Review of economic structural approaches," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-53.
    6. Dupré, Marie & Blazy, Jean-Marc & Michels, Thierry & Le Gal, Pierre-Yves, 2021. "Supporting policymakers in designing agricultural policy instruments: A participatory approach with a regional bioeconomic model in La Réunion (France)," Land Use Policy, Elsevier, vol. 100(C).
    7. Hannes J. König & Aranka Podhora & Lin Zhen & Katharina Helming & Huimin Yan & Bingzhen Du & Jost Wübbeke & Chao Wang & Julie Klinger & Cheng Chen & Sandra Uthes, 2015. "Knowledge Brokerage for Impact Assessment of Land Use Scenarios in Inner Mongolia, China: Extending and Testing the FoPIA Approach," Sustainability, MDPI, vol. 7(5), pages 1-23, April.
    8. Pacini, G. Cesare & Merante, Paolo & Lazzerini, Giulio & Van Passel, Steven, 2015. "Increasing the cost-effectiveness of EU agri-environment policy measures through evaluation of farm and field-level environmental and economic performance," Agricultural Systems, Elsevier, vol. 136(C), pages 70-78.
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