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| Ge, Lan; Van Asseldonk, Marcel A.P.M.; Valeeva, Natasha I.; Hennen, Wil; Bergevoet, Ron H.M.. |
| Efficient policy intervention to reduce antibiotic use in livestock production requires knowledge about the rationale underlying antibiotic usage. Animal health status and management quality are considered the two most important factors that influence farmers’ decision-making concerning antibiotic use. Information on these two factors is therefore crucial in designing incentive mechanisms. In this paper, a Bayesian belief network (BBN) is built to represent the knowledge on how these factors can directly and indirectly determine antibiotic use and the possible impact on economic incentives. Since both factors are not directly observable (i.e. latent), they are inferred from measurable variables (i.e. manifest variables) which are influenced by these... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Livestock Production/Industries. |
| Ano: 2011 |
URL: http://purl.umn.edu/114629 |
