More powerful computers, the better availability of micro-data, and the development of new modeling techniques, such as multi-agent systems, allows to analyze agricultural policies from the bottom up. We present such an approach that considers the spatial interaction of thousands of individually...

A central criticism common to agricultural economic modelling approaches for policy analysis is that they do not adequately take account of a number of characteristic factors of the agricultural sector. This concerns aspects like the immobility of land, heterogeneity of farms, interactions...

A central criticism common to agricultural economic modelling approaches for policy analysis is that they do not adequately take account of a number of characteristic factors of the agricultural sector. This concerns aspects like the immobility of land, heterogeneity of farms, interactions...

This paper investigates the relationship between structural change in agriculture and a policy regime switch at the regional level. Using the agent-based spatial and dynamic simulation model AgriPoliS, we simulate structural change for two different farm structures in response to a policy...

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...

The objective of this paper is to work out some fundamental dynamic effects on agricultural structure, farm incomes, and efficiency that result from decoupled income payments, the transfer of payments together with a progressive payment cut. To do so, we apply the agent-based model AgriPoliS...