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A Theory of Dynamic Biofuel Tax Credit AgEcon
Ye, Fanglin; Lu, Liang; Du, Xiaoxue.
In this paper, we set up a social cost minimization problem for a government. Using dynamic optimization tools, we analytically shows how exogenous parameters could affect the optimal social cost and the optimal tax credit policy path.
Tipo: Presentation Palavras-chave: Optimal Control; Biofuel; Tax Credit; Environmental Economics and Policy; Resource /Energy Economics and Policy; Q42; Q48.
Ano: 2012 URL: http://purl.umn.edu/123750
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Evaluating Vector-Virus-Plant Interaction in Regional Supply of Peas and Lentils: A Limited Dependent Variable Analysis AgEcon
Elbakidze, Levan; Lu, Liang; Eigenbrode, Sanford.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2010 URL: http://purl.umn.edu/61892
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Evaluating Vector-Virus-Yield Interactions for Peas and Lentils under Climatic Variability: A Limited Dependent Variable Analysis AgEcon
Elbakidze, Levan; Lu, Liang; Eigenbrode, Sanford.
This study examines the effects of climatic conditions on interactions among pea and lentil yields, pea aphid Acyrthosiphon pisum (Harris) infestations, and outbreaks of PEMV (Pea enation mosaic) and BLRV (Bean leaf roll) viruses in the Palouse region of easternWashington. The study analytically and empirically evaluates the effects of aphid outbreaks on per acre yields, implicitly including the effects of adopted pest management activities and explicitly taking into account possible effects of climatic conditions on the severity of pea aphid outbreaks. The results show that aphid outbreaks have historically decreased pea and lentil yields by approximately 5% and 7% on average respectively.
Tipo: Article Palavras-chave: Climate; Pest damages; Yields; Crop Production/Industries; Production Economics; Productivity Analysis.
Ano: 2011 URL: http://purl.umn.edu/119177
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Weather Forecast Based Conditional Pest Management: A Stochastic Optimal Control Investigation AgEcon
Lu, Liang; Elbakidze, Levan.
In this paper, we examine conditional, forecast-based dynamic pest management in agricultural crop production given stochastic pest infestations and stochastic climate dynamics throughout the growing season. Using stochastic optimal control we show that correlation between forecast error for climate prediction and forecast error for pest outbreaks can be used to improve pesticide application efficiency. In the general setting, we apply modified Hamiltonian approach to discuss the steady state equilibrium. Given specific functional forms, a closed form solution can be found for the stochastic optimal control problem. Moreover, we find conditions for model parameters so that the optimal pesticide usage path will be monotonically increasing or decreasing in...
Tipo: Conference Paper or Presentation Palavras-chave: Pest Management; Stochastic Optimal Control; Production Economics.
Ano: 2011 URL: http://purl.umn.edu/103655
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