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Registros recuperados: 9
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A Bayesian Belief Network to Infer Incentive Mechanisms to Reduce Antibiotic Use in Livestock Production AgEcon
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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Coping with Climate Change in Agriculture: A Portfolio Analysis AgEcon
Van Asseldonk, Marcel A.P.M.; Langeveld, J.W.A..
Replaced with revised version of paper 10/18/07.
Tipo: Conference Paper or Presentation Palavras-chave: Portfolio analysis; Climate change; Crop growth models; Environmental Economics and Policy; Farm Management.
Ano: 2007 URL: http://purl.umn.edu/9247
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ECONOMIC EFFECTS OF INFORMATION TECHNOLOGY ON DAIRY FARMS IN THE NETHERLANDS AND ISRAEL AgEcon
Van Asseldonk, Marcel A.P.M.; Huirne, Ruud B.M.; Dijkhuizen, Aalt A.; Tomaszewski, Michael A.; Gelb, Ehud M..
Effects of a number of information technology applications were quantified empirically which were implemented on Dutch and Israeli dairy farms. Data comprised annual farm performances from 1987 to 1996, and included both adopters and nonadopters as well as farm results before and after adoption. Significant effects were estimated, making a differentiation between the different technologies.
Tipo: Conference Paper or Presentation Palavras-chave: Information technology; Panel analysis; Dairy farming; Livestock Production/Industries; Research and Development/Tech Change/Emerging Technologies.
Ano: 1998 URL: http://purl.umn.edu/20993
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Economic Impact of Prospective Risk Management Instruments Under Alternative Policy Scenarios AgEcon
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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Factors Explaining Farmers' Insurance Purchase in the Dutch Dairy Sector AgEcon
Ogurtsov, Victor A.; Van Asseldonk, Marcel A.P.M.; Huirne, Ruud B.M..
This paper analyzed the impact of farm and farmer characteristics on the acceptability to dairy farmers in the Netherlands of an all-risk insurance package and underlying specific categories of insurance coverage. The major farm characteristics considered were structural, operational and financial variables, while farmer age was the major farmer-specific characteristic analyzed. The specific insurance categories reviewed were damage, legal, disability, liability and health insurance. The results suggest that there are common and insurance-specific factors that can improve the design of insurance policies for dairy farmers.
Tipo: Conference Paper or Presentation Palavras-chave: Insurance; Farm characteristics; Risk; Dairy farm; Livestock Production/Industries; Risk and Uncertainty.
Ano: 2006 URL: http://purl.umn.edu/7774
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Income insurance as a risk management tool after 2013 CAP reforms? AgEcon
Meuwissen, Miranda P.M.; Van Asseldonk, Marcel A.P.M.; Pietola, Kyosti; Hardaker, J. Brian; Huirne, Ruud B.M..
The ecosystem and the economic subsystem are interlinked. In fact, it is the overconsumption of scarce resources or the overproduction of bad outputs at economic system level that causes a great part of the imbalances at the ecosystem level. Some imbalances do not originate at the economic system level, but are due to external factors. Given the possibility of external shocks, respecting static sustainability thresholds is not a guarantee for system sustainability. In a dynamic setting, the concept of resilience is therefore helpful. In this paper we show how this concept can complement the traditional efficiency approach to come to a sustainable value creating economic system.
Tipo: Conference Paper or Presentation Palavras-chave: Income volatility; Income insurance; Expert elicitation; Price insurance; Risk and Uncertainty.
Ano: 2011 URL: http://purl.umn.edu/114649
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Insure or Invest in Green Technologies to Protect Against Adverse Weather Events? AgEcon
Pietola, Kyosti; Myyra, Sami; Niemi, Jarkko K.; Van Asseldonk, Marcel A.P.M..
This paper analyses investments in green technologies when insurance is also an option. Green technologies are defined to have the power to increase productivity and decrease volatility of future revenues. The insurance options involve the scale and coverage either in a yield insurance or in an index insurance. The stochastic process is a combination of insurable stationary short-run process and non-stationary long run process. The optimal decision rules are solved numerically by stochastic dynamic programming. The results suggest that the index insurance maintains market based incentives to invest in green technologies whereas a yield insurance substantially decreases investments, as expected. An actuarially fair yield insurance decreases investments at...
Tipo: Working or Discussion Paper Palavras-chave: Investment; Insurance; Uncertainty; Dynamic programming; Green technology; Agribusiness; Agricultural Finance; Financial Economics; Risk and Uncertainty.
Ano: 2011 URL: http://purl.umn.edu/100738
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Liability Risks in Agri-food Supply Chains: The Case of Wet Feed AgEcon
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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Risk programming and sparse data: how to get more reliable results AgEcon
Hardaker, J. Brian; Lien, Gudbrand D.; Van Asseldonk, Marcel A.P.M.; Richardson, James W.; Hegrenes, Agnar.
Because relevant historical data for farms are inevitably sparse, most risk programming studies rely on few observations. We discuss how to use available information to derive an appropriate multivariate distribution function that can be sampled for a more complete representation of the possible risks in riskbased models. For the particular example of a Norwegian mixed livestock and crop farm, the solution is shown to be unstable with few states, although the cost of picking a sub-optimal plan declines with increases in number of states by Latin Hypercube sampling.
Tipo: Conference Paper or Presentation Palavras-chave: Risk programming; States of nature; Sparse data; Risk and Uncertainty.
Ano: 2008 URL: http://purl.umn.edu/44051
Registros recuperados: 9
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