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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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Van Asseldonk, Marcel A.P.M.; Majewski, Edward; Meuwissen, Miranda P.M.; Was, Adam; Guba, Waldemar; Dalton, Graham E.; Landmesser, Joanna; Berg, Ernst; Huirne, Ruud B.M.. |
The main objective was to assess the risk of farmers in the European Union and to analyze the impact of agricultural policy changes on the main components of income namely price and production risks. In order to achieve this, qualitative considerations and quantitative analyses covering the period 2004 – 2018 have been made. Future policy scenarios have been defined, taking into account likely Common Agricultural Policy developments, including possible outcomes of the Doha round of the WTO negotiations. Subsequently, the economic impact of policy scenarios in conjunction with a set of prospective risk management instruments for the European Union are determined. |
Tipo: Conference Paper or Presentation |
Palavras-chave: Portfolio analysis; Policy scenarios; Risk Management Instruments. |
Ano: 2008 |
URL: http://purl.umn.edu/48104 |
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Meuwissen, Miranda P.M.; Van Asseldonk, Marcel A.P.M.; Huirne, Ruud B.M.. |
Recent animal feed crises caused substantial damage throughout food supply chains and, consequently, initiated debates on the liability insurance cover of animal feed companies. In this framework, a quantitative risk analysis for wet feed producers in the Netherlands is presented. The simulation model developed is parameterised by among others data from three Dutch wet feed companies reflecting about 45% of the wet feed market in the Netherlands. The model addresses direct damage up to farm level. Default outcomes per crisis show that the number of contaminated farms is expected to be 117, with a variation from 19 farms in the 5% percentile to 331 farms in the 95% percentile. Projected direct damage per crisis is on average Euro 0.9 million, ranging from... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Contamination risk; Simulation model; Direct damage; Agribusiness. |
Ano: 2008 |
URL: http://purl.umn.edu/44396 |
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