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Adoption of Conservation-Tillage Practices in Cotton Production AgEcon
Banerjee, Swagata (Ban); Martin, Steven W.; Roberts, Roland K.; Larson, James A.; Hogan, Robert J., Jr.; Johnson, Jason L.; Paxton, Kenneth W.; Reeves, Jeanne M..
Replaced with revised version of paper 10/23/07.
Tipo: Conference Paper or Presentation Palavras-chave: Conservation tillage; Cotton; Genetically modified seed; Herbicide-resistant cotton; Stacked-gene cotton; Simultaneous logit model; Single-equation logit model; Technology adoption; Crop Production/Industries.
Ano: 2007 URL: http://purl.umn.edu/34842
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An Economic Assessment of Water Quality Improvement BMPs for the Eagle Mountain Lake Watershed AgEcon
Johnson, Jason L.; Wolfe, Clint; Waidler, David.
Tipo: Presentation Palavras-chave: Environmental Economics and Policy; Resource /Energy Economics and Policy.
Ano: 2012 URL: http://purl.umn.edu/124224
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AN EX ANTE ASSESSMENT OF INVESTMENTS IN TEXAS GRAPEFRUIT UNDER UNCERTAINTY AgEcon
Elmer, Nicole A.; Thurow, Amy Purvis; Johnson, Jason L.; Rosson, C. Parr, III.
The Dixit-Pindyck model was applied to examine the hypothesis that uncertainty associated with grapefruit production costs and returns is an important determinant of Texas grapefruit growers' investment behavior. Freezes, price variability, and the effects of expanded trade were analyzed as risk factors. An investment decision rule based on a net-present value calculation would approve a 25-year commitment to a 20-acre grapefruit grove, given a 6-percent discount rate. The modified hurdle rate, calculated using an ex ante version of the Dixit-Pindyck model, is 24 percent. The major source of the risk borne by Texas grapefruit investors is from freezes, rather than from expanded trade.
Tipo: Journal Article Palavras-chave: Citrus; Ex ante analysis; Dixit-Pindyck model; Freezes; Investment; Simulation; Texas; Trade; Crop Production/Industries.
Ano: 2001 URL: http://purl.umn.edu/15451
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Technical Efficiency in Louisiana Sugar Cane Processing AgEcon
Johnson, Jason L.; Zapata, Hector O.; Heagler, Arthur M..
Participants in the Louisiana sugar cane industry have provided little information related to the efficiency of sugar processing operations. Using panel data from the population of Louisiana sugar processors, alternative model specifications are estimated using stochastic frontier methods to measure the technical efficiency of individual sugar factories. Results suggest the Louisiana sugar processing industry is characterized by a constant returns to scale Cobb-Douglas processing function with high technical efficiency.
Tipo: Journal Article Palavras-chave: Technical efficiency; Stochastic frontier; Resource allocation; Sugar cane processing; Agribusiness; Productivity Analysis.
Ano: 1995 URL: http://purl.umn.edu/90369
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