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|Title:||Farming Systems SIMulator: First Generic Bio-economic Farm Model|
|Authors:||JANSSEN Sander; LOUHICHI Kamel; KANELLOPOULOS Argyris; ZANDER Peter; FLICHMAN Guillermo; HENGSDIJK Huib; LI Hongtao; HECKELEI Thomas; STOKSTAD Grete; BORKOWSKI Nina; HECKER J.-Martin; OUDE LANSINK Alfons; BLANCO FONSECA Maria; MEUTER E; VAN ITTERSUM Martin|
|Citation:||Proceedings of the Conference on Integrated Assessment of Agriculture and Sustainable Development: Setting the Agenda for Science and Policy (AgSAP 2009), ISBN: 978-90-8585-401-2 p. 256-257|
|Publisher:||Wageningen University and Research Centre|
|JRC Publication N°:||JRC55293|
|Type:||Contributions to Conferences|
|Abstract:||Policymakers and farmers have an interest in making ex-ante assessments of the outcomes of their choices in terms of policy and farm plan (cf. Zander & Kächele, 1999; EC, 2005). A Bio-Economic Farm Model (BEFM) is defined as a model that links formulations describing farmers¿ resource management decisions to formulations that describe current and alternative production possibilities in terms of required inputs to achieve certain outputs and associated externalities. Janssen & Van Ittersum (2007) recently reviewed the usefulness of BEFMs for predicting the impact of policy changes and identified a lack of re-use of BEFMs, e.g., models were only used for one purpose and location for which they were initially developed and not for other purposes or locations afterwards. Instead in cropping systems models, the re-use for diverse purposes and locations is wide-spread. This lack of re-use for other purposes and locations might hinder the usefulness of BEFM for policy assessment. In SEAMLESS (System for Environmental and Agricultural Modelling: Linking European Science and Society), we choose to develop the Farming Systems SIMulator (FSSIM) as a generic bioeconomic farm model. Here we define generic as being useful for a range of agrienvironmental zones, different farm types, different innovations or policy questions and applications that require different level of detail in input or output data. The objective of this contribution is to introduce FSSIM as a generic BEFM model, to present its structure and how it can be applied for different purposes.|
|JRC Institute:||Institute for Prospective Technological Studies|
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