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Registros recuperados: 24
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From total farm to household risk: implication for risk management AgEcon
de Mey, Yann; Wauters, Erwin; van Winsen, Frankwin; Vancauteren, Mark; Van Passel, Steven; Lauwers, Ludwig H..
Modeling the farm level impact of risk management programs, policies and instruments is traditionally been done on a farm-level basis. Hence, farm simulation models typically use the behavioural assumption of profit or utility maximization is risk aversion taken into account. However, abundant – albeit indirect – evidence from different literature sources suggest that minimization of household risk – being the chance of falling below a certain threshold level of household cash flow – might be more realistic behavioural assumption. In this paper, we present concepts of operational, financial, total farm and household risk. Further, using a stochastic simulation model on two typical Belgian dairy farms, we illustrate possible farmers responses in the...
Tipo: Presentation Palavras-chave: Household risk; Typical dairy farms; Stochastic simulation; Household buffering capacity; Risk and Uncertainty.
Ano: 2012 URL: http://purl.umn.edu/122470
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The Impacts of U.S. Cotton Programs on the West and Central African Countries Cotton Export Earnings AgEcon
Fadiga, Mohamadou L.; Mohanty, Samarendu; Pan, Suwen.
This study uses a stochastic simulation approach based on a partial equilibrium structural econometric model of the world fiber market to examine the effects of a removal of U.S. cotton programs on the world market. The effects on world cotton prices and African export earnings were analyzed. The results suggest that on average an elimination of U.S. cotton programs would lead to a marginal increase in the world cotton prices thus resulting in minimal gain for cotton exporting countries in Africa.
Tipo: Journal Article Palavras-chave: Stochastic simulation; Partial equilibrium model; United States; Africa; Cotton subsidies; Export earnings; Crop Production/Industries; International Relations/Trade.
Ano: 2005 URL: http://purl.umn.edu/44098
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Optimierung unter Unsicherheit mit Hilfe stochastischer Simulation und Genetischer Algorithmen – dargestellt anhand der Optimierung des Produktionsprogramms eines Brandenburger Marktfruchtbetriebes AgEcon
Musshoff, Oliver; Hirschauer, Norbert.
Optimization has been recognized as a powerful tool in teaching and research for a long time. In spite of its well known problem solving capacity, some methodological obstacles have persisted over the years. The main problem is that stochastic variables and their correlations cannot be adequately accounted for within traditional optimization procedures. In this paper, we develop a methodological mix of stochastic simulation and a heuristic optimization procedure which has become known as genetic algorithms. The simulation part of the mix allows for the consideration of complex information such as stochastic processes; the genetic algorithms-part ensures that the method remains manageable in terms of required time and resources. We demonstrate the decision...
Tipo: Journal Article Palavras-chave: Optimization; Optimal production program; Stochastic simulation; Genetic algorithms; Uncertainty; Stochastic processes; Farm Management; Risk and Uncertainty.
Ano: 2004 URL: http://purl.umn.edu/97454
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Simulation and economic analysis of bovine sex selection R. Bras. Zootec.
Beltrame,Renato Travassos; Quirino,Celia Raquel; Barioni,Luís Gustavo; Lima,Vera Fernanda Martins Hossepian de.
A simulation model implemented in the programming software Delphi XE® was applied to evaluate sex selection in bovine. The hypothesis under investigation was that a dynamic model with stochastic and deterministic elements could detect the sexed semen technique to minimize pregnancy cost and to determine the adequate number of recipients required for in vivo (ET) and in vitro embryo production (IVP) in the proposed scenarios. Sex selection was compared through semen sexed using flow cytometry (C1) and density gradient centrifugation techniques (C2) in ET and IVP. Sensibility analyses were used to identify the adequate number of recipients for each scenario. This number was reinserted into the model to determine the biological and financial values that...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Beef cattle; In vitro fertilization; Modeling; Stochastic simulation.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982013000500003
Registros recuperados: 24
Primeira ... 12 ... Última
 

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