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Analysis of Spatial Variation in Flood Risk Perception AgEcon
Atreya, Ajita; Susana, Ferreira.
We use hedonic property models to estimate the spatial variation in flood risk in the city of Albany, GA. In addition to knowing whether a property is in the floodplain, we have a unique dataset with actual inundation maps from tropical storm Alberto that hit Albany in 1994. In the absence of information on the structural damages caused by a flood, having information on the actual inundated area can be useful to tease out information effect of a new flood from potential reconstruction cost. We find that the discount in actually inundated properties is larger which supports our hypothesis that homeowners respond better to what they have visualized (“seeing is believing”) and also the potential reconstruction cost in addition to information effect is...
Tipo: Presentation Palavras-chave: Flood Risk; Inundation; Spatial; Discount; Environmental Economics and Policy; Land Economics/Use; Q; R.
Ano: 2012 URL: http://purl.umn.edu/119738
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Effect of Corn Price on Profitability of Control Vs Phytase Enhanced Diet of Hogs AgEcon
Atreya, Ajita; Vitale, Jeffrey D.; Stoecker, Arthur L.; Carter, Scott D..
Economic Simulation model (SIMETAR) was used to investigate the effect of future corn price on profitability of control and phytase enhanced diet of hogs. The completed simulation model was used to estimate probability distribution for control vs lower excretion diet profitability under different corn prices. Data used was collected from recent field trials in Oklahoma that tested the effect of phytase enhanced diets on reducing phosphorus emission. The results showed that as the market price of corn increases control diet will be more profitable than phytase enhanced diet, given the cost of other remaining feed ingredient is constant for both the diets.
Tipo: Conference Paper or Presentation Palavras-chave: Profitability; SIMETAR; Control diet; Phytase enhanced diet; Swine; Production Economics.
Ano: 2009 URL: http://purl.umn.edu/46864
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