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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 |
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| Jongeneel, Roelof A.; Ge, Lan. |
| This paper analyzes the sources of growth of Dutch agriculture (arable, meat, and dairy sectors). Because the time series data (1950-1997) are non-stationary and not cointegrated, it is argued that a model estimated in first differences should be used. Estimated price elasticities turn out to be very inelastic, both in the short-run and the long-run. The direct distortionary effect of price support has therefore been rather limited. However, price support has an important indirect effect by improving the sectors investment possibilities and therewith the capital stock. Public R&D expenditure mainly affected agriculture by contributing to yield improvement therewith favoring intensification of production. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Growth; Technology; Cointegration; Non-stationarity; Agricultural policy; Agribusiness; Q18; O13. |
| Ano: 2005 |
URL: http://purl.umn.edu/24573 |
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