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	Provedor de dados AgEcon (2) Autor Merel, Pierre R. (2) Yi, Fujin (2) Lee, Juhwan (1) Simon, Leo K. (1) Six, Johan (1) Palavra-chave Crop Production/Industries (2) Positive mathematical programming (2) Bioenergy crop (1) California agriculture (1) Generalized CES (1) Opportunity cost (1) Production Economics (1) Research Methods/ Statistical Methods (1) Resource /Energy Economics and Policy (1) Supply elasticities (1) Mais... Tipo do documento Conference Paper or Presentation (2) Ano 2011 (1) 2010 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Assessing the Opportunity Cost of Growing a Bioenergy Crop in California: a PMP Approach AgEcon Yi, Fujin; Merel, Pierre R.; Lee, Juhwan; Six, Johan. A significant increase in demand for fuel ethanol in California should be expected if all gasoline sold in the state were to be blended with 10% ethanol, as envisaged in the State Alternative Fuels Plan. This paper assesses the potential of California agriculture to supply biofuel feedstock in the form of switchgrass. We construct a fully calibrated, multi-region, multi-input and multi-output model of agricultural supply for California’s Central Valley based on the principles of Positive Mathematical Programming. We exploit the biogeochemical model DAYCENT to estimate production functions for switchgrass in each agricultural region. We then predict the extent and location of potential switchgrass production in the Central Valley. Our results suggest that... Tipo: Conference Paper or Presentation Palavras-chave: California agriculture; Bioenergy crop; Opportunity cost; Positive mathematical programming; Crop Production/Industries; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy. Ano: 2011 URL: http://purl.umn.edu/104519 A Fully Calibrated Generalized CES Programming Model of Agricultural Supply AgEcon Merel, Pierre R.; Simon, Leo K.; Yi, Fujin. The use of prior information on supply elasticities to calibrate programming models of agricultural supply has been advocated repeatedly in the recent literature (Heckelei and Britz 2005). Yet, Mérel and Bucaram (2009) have shown that the dual goal of calibrating such models to a reference allocation while replicating an exogenous set of supply elasticities is not always feasible. This article lays out the methodological foundation to exactly calibrate programming models of agricultural supply using generalized CES production functions. We formally derive the necessary and sufficient conditions under which such models can be calibrated to replicate the reference allocation while displaying crop-specific supply responses that are consistent with prior... Tipo: Conference Paper or Presentation Palavras-chave: Positive mathematical programming; Generalized CES; Supply elasticities; Crop Production/Industries; Production Economics. Ano: 2010 URL: http://purl.umn.edu/60906 Registros recuperados: 2 Primeira ... 1 ... Última

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