An empirical economic model to reveal behaviour characteristics driving the evolution of agriculture in Belgium
Maes, Dries (Hasselt University)
Passel, Steven van (Hasselt University)

Date: 2014
Note: Effective design of agricultural policies requires an understanding of the drivers behind the evolution of the agricultural sector. This project builds an evolutionary economic model of the Belgian agricultural sector, as a testing ground for new policies. This agent-based model simulates the dairy, cow and pig sector. The model is calibrated to historical data of production and farm diversity during the period 2003 - 2013. Profit maximising agents cannot replicate the historical trends. When assuming heterogeneous behaviours, the actual evolution can be reproduced much more closely. The calibration reveals key behaviour variables. The evolution in the agricultural sector can only be explained when accounting for a resistance to change at farm level or at market level. However, this approach cannot determine the exact location of this resistance. The resistance to change can result from personal convictions of the farmer or from market rigidities and learning effects.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: Comunicació de congrés
Subject: Agricultural sector ; Belgium ; Computational social science ; Social simulation
Published in: Social Simulation Conference. Bellaterra, Cerdanyola del Vallés, 1a : 2014

Podeu consultar la compilació de les ponències presentades a Social Simulation Conference a: https://ddd.uab.cat/record/125597


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The record appears in these collections:
Contributions to meetings and congresses > Papers and communications > UAB papers and communications

 Record created 2015-01-09, last modified 2022-06-04



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