The importance of farmer behaviour: an application of Desktop MAS, a multi-agent system model for rural New Zealand communities
This paper describes a multi-agent system (MAS) model, Desktop MAS, designed for New Zealand‟s pastoral industries. Desktop MAS models the strategic decisions and behaviours of individual farmers in response to changes in their operating environment. Farmer responses determine production, economic and environmental outcomes. Each farmer has a profit-maximising or cost-minimising objective that governs their decision-making, and a social network with whom they interact. Information transfer between farmers occurs through this social network. We consider a simple scenario analysis that investigates the impact of emissions prices on industry mix and farming intensity. We then investigate the importance of farmer behaviours and interaction. We find that farmer social networks and objectives impact particularly on farming intensity decisions within land-use industries. Land-use change between industries becomes more sensitive to farmer attitudes as the profitability differential between land-uses narrows.
|Date of creation:||Aug 2012|
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|Contact details of provider:|| Web page: http://www.nzares.org.nz/|
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- Alfons Balmann, Kathrin Happe, Konrad Kellermann, Anne Kleingarn, 2001.
"Adjustment Costs of Agri-Environmental Policy Switchings: A Multi-Agent Approach,"
Computing in Economics and Finance 2001
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- Happe, Kathrin & Balmann, Alfons & Kellermann, Konrad, 2004. "The agricultural policy simulator (AgriPoliS): an agent-based model to study structural change in agriculture (Version 1.0)," IAMO Discussion Papers 71, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
- Happe, Kathrin & Balmann, Alfons, 2008. "Doing Policy In The Lab! Options For The Future Use Of Model-Based Policy Analysis For Complex Decision-Making," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6588, European Association of Agricultural Economists.
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