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	Provedor de dados AgEcon (2) Autor Flanders, Archie (1) Lemmer, Wessel J. (1) McKissick, John C. (1) Outlaw, Joe L. (1) Richardson, James W. (1) Smith, Nathan B. (1) Mais... Palavra-chave Simetar (2) Agribusiness (1) Biofuels (1) Crop Production/Industries (1) Economic impact (1) Economic viability (1) Ethanol (1) FSRI (1) IMPLAN (1) Industry model (1) Multivariate empirical distribution (1) Research and Development/Tech Change/Emerging Technologies (1) Resource /Energy Economics and Policy (1) Risk analysis (1) SERF (1) Simulation (1) Social welfare analysis (1) Stochastic simulation (1) Mais... Tipo do documento Journal Article (2) Ano 2007 (1) 2006 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Input-Output Analysis with Public Policy Objectives: A Case Study of the Georgia Cotton Industry AgEcon Flanders, Archie; Smith, Nathan B.; McKissick, John C.. Farm bill legislation directed at agricultural commodities contributes to economies of rural areas. This research quantifies the economic impacts of the Georgia cotton industry for the U.S. economy. A cotton industry model with cotton and peanut acreage is utilized with IMPLAN to estimate impacts. The Georgia cotton industry creates 4% more tax revenues for federal, state, and local governments than it receives in commodity support payments. Stochastic simulation analysis indicates that the Georgia cotton industry is not likely to remain viable without government payments. Tipo: Journal Article Palavras-chave: Economic impact; FSRI; IMPLAN; Industry model; Multivariate empirical distribution; Simetar; Social welfare analysis; Stochastic simulation; Agribusiness; Research and Development/Tech Change/Emerging Technologies. Ano: 2006 URL: http://purl.umn.edu/62279 Bio-ethanol Production from Wheat in the Winter Rainfall Region of South Africa: A Quantitative Risk Analysis AgEcon Richardson, James W.; Lemmer, Wessel J.; Outlaw, Joe L.. Contrary to developments in other parts of the world, South Africa has not developed a bio-ethanol industry. The objective was to quantify the risks and economic viability of a wheat based bio-ethanol plant in the winter rainfall region of South Africa. Monte Carlo simulation of a bio-ethanol plant was used to quantify the risk that investors will likely face. Under the Base scenario a 103 million liter bio-ethanol plant would not offer a reasonable chance of being economically viable. Alternative price enhancing policies were analyzed to determine policy changes needed to make a bio-ethanol plant economically viable in the region. Tipo: Journal Article Palavras-chave: Biofuels; Ethanol; Risk analysis; Simulation; Economic viability; Simetar; SERF; Crop Production/Industries; Resource /Energy Economics and Policy. Ano: 2007 URL: http://purl.umn.edu/8192 Registros recuperados: 2 Primeira ... 1 ... Última

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