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| Happe, Kathrin; Balmann, Alfons; Kellermann, Konrad. |
| A central criticism common to agricultural economic modelling approaches for policy analy-sis is that they do not adequately take account of a number of characteristic factors of the agri-cultural sector. This concerns aspects like the immobility of land, heterogeneity of farms, in-teractions between farms, space, dynamic adjustment processes as well as dynamics of struc-tural change. In brief, modelling the complexity of the system has not been at the centre of interest. In terms of modelling complex economic systems, an agent-based modelling ap-proach is a suitable approach to quantitatively model and understand such systems in a more natural way. In the same way, this applies to the modelling of agricultural structures. In par-ticular, agent-based... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Agent-based systems; Multi-agent systems; Policy analysis; Structural change; Simulation; Agentenbasierte Systeme; Politikanalyse; Dynamische An-passungsprozesse und Strukturwandel. Kurz; Multi-Agentensysteme; Struktur-wandel; Agricultural and Food Policy; Q12; Q15. |
| Ano: 2004 |
URL: http://purl.umn.edu/14886 |
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| Balmann, Alfons; Happe, Kathrin. |
| During the last decade a new modeling approach, known as agent-based modeling, was developed and made its way into several areas of research. It greatly benefited from rapid developments in computing technology. As for economics, agent-based modeling is based on the observation that social systems can be understood and modeled explicitly as systems of interacting agents. Because of their flexibility with respect to the representation of agents, the interactions between agents as well as the resulting dynamic and spatial relationships, these models offer a great variety of perspectives for future research. In this contribution, the underlying modeling concept is presented, and exemplary applications to the field of sector and policy analysis are discussed.... |
| Tipo: Journal Article |
Palavras-chave: Agent-based modeling; Agent-based systems; Policy analysis; Sector modeling; Agricultural and Food Policy. |
| Ano: 2001 |
URL: http://purl.umn.edu/99009 |
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