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An Agent-Based Simulation Model of Structural Change in Canadian Prairie Agriculture, 1960-2000

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  • Tyler Freeman
  • James Nolan
  • Richard Schoney

Abstract

"Agent-based simulation modeling (or ABM) is used to examine the evolution of farm size and financial structure in Canadian prairie agriculture over the period 1960-2000. Individual farm agent interaction and dynamics in this model occur through land ownership and leasing markets. A base scenario is developed and the model is validated against actual data from a typical Saskatchewan farm region. Subsequently, we simulate counterfactual policy scenarios applicable to farms in this region. Overall, we view the contribution of this paper as twofold-first, it represents a "proof of concept" of ABM's ability to simulate farming on a medium to large scale. Second, the model allows us to examine the contributions of entrepreneurship, factor endowment, and historical government agricultural support payments on the evolution of Canadian prairie farm structure". Copyright (c) 2009 Canadian Agricultural Economics Society.

Suggested Citation

  • Tyler Freeman & James Nolan & Richard Schoney, 2009. "An Agent-Based Simulation Model of Structural Change in Canadian Prairie Agriculture, 1960-2000," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 537-554, December.
  • Handle: RePEc:bla:canjag:v:57:y:2009:i:4:p:537-554
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    References listed on IDEAS

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    4. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    5. Ziervogel, Gina & Bithell, Mike & Washington, Richard & Downing, Tom, 2005. "Agent-based social simulation: a method for assessing the impact of seasonal climate forecast applications among smallholder farmers," Agricultural Systems, Elsevier, vol. 83(1), pages 1-26, January.
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    8. Happe, Kathrin, 2004. "Agricultural policies and farm structures: agent-based modelling and application to EU-policy reform," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 30, number 14945.
    9. Fairweather, John R. & Keating, Norah C., 1994. "Goals and management styles of New Zealand farmers," Agricultural Systems, Elsevier, vol. 44(2), pages 181-200.
    10. Balmann, Alfons, 1997. "Farm-Based Modelling of Regional Structural Change: A Cellular Automata Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 24(1), pages 85-108.
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    Cited by:

    1. repec:eee:ecomod:v:273:y:2014:i:c:p:284-298 is not listed on IDEAS
    2. Dimitris Kremmydas, 2012. "Agent based modeling for agricultural policy evaluation: A review," Working Papers 2012-3, Agricultural University of Athens, Department Of Agricultural Economics.
    3. repec:eee:ecomod:v:222:y:2011:i:19:p:3486-3499 is not listed on IDEAS
    4. James Nolan & Dawn Parker & G. Cornelis van Kooten & Thomas Berger, 2009. "An Overview of Computational Modeling in Agricultural and Resource Economics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 417-429, December.
    5. Freeman, Tyler & Schoney, Richard & Nolan, James, 2013. "Man vs. manure: Examining the effects of residential demand on dairy farming in rural America," Agricultural Systems, Elsevier, vol. 115(C), pages 129-136.
    6. Holderieath, Jason, 2016. "Spatiotemporal management under heterogeneous damage and uncertain parameters. An agent-based approach," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235850, Agricultural and Applied Economics Association.

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