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Modelling structural change in the agricultural sector – An Agent-based approach using FADN data from individual farms

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  • Mohring, Anke
  • Zimmermann, Albert
  • Mack, Gabriele
  • Mann, Stefan
  • Ferjani, Ali
  • Gennaio, Maria-Pia

Abstract

The development of multi-agent models for agriculture has allowed the inclusion of farm decision-making behaviour and interactions in the simulation of smaller agricultural regions. Important methodological impact for this has come in particular from scientists from Germany. Currently under construction, the SWISSland model claims to depict as realistically as possible the 50,000 family farms comprising the whole of Swiss agriculture in all their heterogeneity as regards farm and cost structures as well as farm decision behaviours, with the aim of improving the simulation and forecasting of structural change. This paper describes methodological aspects in the formation of the agent population by combining various data sources such as accounting and spatial data and the results of surveys. As its basis, SWISSland uses the 3300 Swiss Farm Accountancy Data Network (FADN) farms, whose representativeness is substantially improved by means of a corrective procedure. Individual-farm optimisation models simulate the heterogeneous behaviour of the agents, for whom a potential exists for land trade within regional groups. With the linking of different methods and recorded data, we can expect to see a marked increase in the quality of the assessment of policy consequences.

Suggested Citation

  • Mohring, Anke & Zimmermann, Albert & Mack, Gabriele & Mann, Stefan & Ferjani, Ali & Gennaio, Maria-Pia, 2010. "Modelling structural change in the agricultural sector – An Agent-based approach using FADN data from individual farms," 114th Seminar, April 15-16, 2010, Berlin, Germany 61094, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa114:61094
    DOI: 10.22004/ag.econ.61094
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    Cited by:

    1. Guido M. Bazzani & Roberta Spadoni, 2021. "Generating cropping schemes from FADN data at the farm and territorial scale," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-32.
    2. Calabrese, Chiara & Mack, Gabriele, 2011. "Evaluation of political control instruments for the Swiss alpine region," 122nd Seminar, February 17-18, 2011, Ancona, Italy 99370, European Association of Agricultural Economists.
    3. Simon Briner & Michael Hartmann & Robert Finger & Bernard Lehmann, 2012. "Greenhouse gas mitigation and offset options for suckler cow farms: an economic comparison for the Swiss case," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(4), pages 337-355, April.
    4. Buysse, Jeroen & Frija, Aymen & Van der Straeten, Bart & Nolte, Stephan & Lauwers, Ludwig H. & Claeys, Dakerlia & Van Huylenbroeck, Guido, 2011. "The sampling bias in multi-agent simulation models," 122nd Seminar, February 17-18, 2011, Ancona, Italy 99599, European Association of Agricultural Economists.
    5. Finger, Robert & Listorti, Giulia & Tonini, Axel, 2015. "The cheese processing aid in Switzerland: ex-post and ex-ante evaluations," 2015 Conference, August 9-14, 2015, Milan, Italy 211633, International Association of Agricultural Economists.
    6. Schmidt, Alena & Mack, Gabriele & Möhring, Anke & Mann, Stefan & El Benni, Nadja, 2019. "Stricter cross-compliance standards in Switzerland: Economic and environmental impacts at farm- and sector-level," Agricultural Systems, Elsevier, vol. 176(C).

    More about this item

    Keywords

    Agricultural and Food Policy; Farm Management; Land Economics/Use;
    All these keywords.

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