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Multidisziplinäre Agentendefinitionen für Optimierungsmodelle

Author

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  • Möhring, A.
  • Zimmermann, A.
  • Mack, G.
  • Mann, S.
  • Ferjani, A.
  • Gennaio, M.-P.

Abstract

Mit der Entwicklung von Multiagentenmodellen für die Landwirtschaft konnten betriebliche Entscheidungsverhalten und Interaktionen in die Simulation von kleineren Agrarregionen einbezogen werden. Wichtige methodische Impulse dazu kamen insbesondere von Wissen-schaftlerinnen und Wissenschaftlern aus Deutschland. Das sich im Aufbau befindende Modell SWISSland erhebt den Anspruch, die 50 000 Familienbetriebe der gesamten Schweizer Landwirtschaft in ihrer Heterogenität bezüglich Betriebs- und Kostenstrukturen sowie Verhal-tensweisen möglichst realitätsnah abzubilden, mit dem Ziel, die Simulation und Prognose des Strukturwandels zu verbessern. Dieser Beitrag beschreibt methodische Aspekte bei der Bil-dung der Agentenpopulation unter Verwendung verschiedener Datenquellen wie Buchhal-tungsdaten, räumliche Daten und Ergebnisse von Umfragen. Als Basis nutzt SWISSland die 3300 FADN-Betriebe des Schweizer Buchhaltungsnetzes, deren Repräsentativität mittels ei-nes Korrekturverfahrens wesentlich verbessert wird. Einzelbetriebliche Optimierungsmodelle simulieren das heterogene Verhalten der Agenten, für die innerhalb von Regionsgruppen ein potenzieller Flächenhandel möglich ist. Es ist zu erwarten, dass sich mit der Verknüpfung verschiedener Methoden und Datenmaterialien die Qualität der Politikfolgenabschätzung deutlich erhöhen wird.
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Suggested Citation

  • Möhring, A. & Zimmermann, A. & Mack, G. & Mann, S. & Ferjani, A. & Gennaio, M.-P., 2010. "Multidisziplinäre Agentendefinitionen für Optimierungsmodelle," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    • Handle: RePEc:ags:gewipr:260138
    DOI: 10.22004/ag.econ.260138
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    1. Happe, Kathrin & Balmann, Alfons & Kellermann, Konrad & Sahrbacher, Christoph, 2008. "Does structure matter? The impact of switching the agricultural policy regime on farm structures," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 431-444, August.
    2. Happe, K. & Kellermann, K., 2008. "Diese Modelle sind zu komplex! – oder doch nicht?: Experimentelles Design und Metamodellierung als möglicher Weg, das Kommunikationsproblem agentenbasierter Modelle in der Politikanalyse zu lösen," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 43, March.
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    1. Ali Ferjani & Albert Zimmermann, 2013. "Estimating Agricultural Supply Response with the dynamic sectormodel SILAS-dyn," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 6(1), pages 155-176.
    2. Ali Ferjani & Albert Zimmermann, 2013. "Modelling structural-change-related shifts in labour input in the agent-based sector model SWISSland," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 6(1), pages 177-200.
    3. Mack, Gabriele & Möhring, Anke & Ferjani, Ali & Zimmermann, Albert & Mann, Stefan, 2013. "Transfer of single farm payment entitlements to farm successors: impact on structural change and rental prices in Switzerland," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 2(2), pages 1-18, August.
    4. Anke Möhring & Gabriele Mack & Albert Zimmermann & Maria Pia Gennaio & Stefan Mann & Ali Ferjani, 2011. "Modellierung von Hofübernahmeund Hofaufgabeentscheidungen in agentenbasierten Modellen," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 4(1), pages 163-188.

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