Agricultural policies and farm structures - agent-based simulation and application to EU-policy reform
The development of competitive and efficient agricultural structures has been one of the central goals of agricultural policy making in addition to ensuring a fair standard of living for farmers. To achieve these goals, the agricultural sector in most industrialised nations has long been the subject of government interventions. However, many agricultural policies have worked counteractively to these goals by creating distortions in the use of resources. Against this background, the emergence of new and innovative modelling methods such as agent- based models, in addition to ever-increasing computing capacities has offered new possibilities to model adjustment reactions and to quantify the impact of agricultural policies. This thesis takes up these new methodologies and applies them to the modelling and evaluation of agricultural policy impacts on regional structural change. At the centre of the thesis is the development of the spatial and dynamic simulation model of regional agricultural structures AgriPoliS (Agricultural Policy Simulator). The core of AgriPoliS is the understanding of a regional agricultural structure as an agent-based system, i.e., a system of interacting heterogeneous agents. The thesis contributes to a deeper understanding of structural change dynamics and factors causing structural change. It is studied whether and to what extent policy changes can facilitate structural adjustment towards a more efficient and competitive agricultural structure.
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10038, Iowa State University, Department of Economics.
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- Tesfatsion, Leigh S., 2001. "Introduction to the Special Issue on Agent-Based Computational Economics," Staff General Research Papers 1915, Iowa State University, Department of Economics.
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- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
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