Population characteristics and the decision to convert to organic farming
Type de document
conferencePaper
Langue source
Anglais
Titre français
Titre anglais
Population characteristics and the decision to convert to organic farming
Auteur(s)
- XU Q.
- HUET S.
- PERRET E.
- BOISDON I.
- DEFFUANT G.
Editeur(s)
Autre(s)
Id
KCMAQ7VK
Version
12581
Date ajout
11 janvier 2021 16:56
Date modification
11 janvier 2021 16:56
Résumé anglais
We revisit some ideas of why farmers do not convert to organic farming from our previous article with a dynamic individual based model. In this model, an agent's decision on transitioning to organic is based on the comparison between the satisfaction with its current situation and the potential satisfaction with an alternative farming strategy. A farmer agent's satisfaction is modeled with the Theory of Reasoned Action. It is computed by comparing the agent's outcomes over time and comparing its current outcome against those of other agents to whom it lends great credibility ('important others'). The first study is based on prototypical farm populations. In this paper, the predicted conversion rate is studied with some French "cantons" having different practice intensities. The model is initialized with dairy farmers' data in these "cantons" in 2000. The results show that the "cantons" characteristics have great impact on the virtual adoption rate. Intensive "cantons" convert less than extensive ones. Extensive farms having not very good environmental outcomes seem to convert the most.
Note
None
CRAW tags
- AB - Spécifique
- FREDO conversion en AB
- farmer satisfaction
- GEO France
- agriculture biologique
- bovin laitier
- sociologie
WEB tags
- AIDE A LA DECISION
- MODELISATION
- THEORIE
- decision support
- organic agriculture
Pages
16 p.
Date caractères
August 2018
Date publication
4 août 2018
Url publication