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| Egbendewe-Mondzozo, Aklesso; Swinton, Scott M.; Izaurralde, R. Cesar; Manowitz, David H.; Zhang, Xuesong. |
| This paper introduces a spatial bioeconomic model for study of potential cellulosic biomass supply at regional scale. By modeling the profitability of alternative crop production practices, it captures the opportunity cost of replacing current crops by cellulosic biomass crops. The model draws upon biophysical crop input-output coefficients, price and cost data, and spatial transportation costs in the context of profit maximization theory. Yields are simulated using temperature, precipitation and soil quality data with various commercial crops and potential new cellulosic biomass crops. Three types of alternative crop management scenarios are simulated by varying crop rotation, fertilization and tillage. The cost of transporting biomass to a specific... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Biomass production; Bioenergy supply; Biofuel policy; Bioenergy; Cellulosic ethanol; Agro-ecosystem economics; Ecosystem services economics; Agro-environmental trade-off analysis; Mathematical programming; EPIC; Agricultural and Food Policy; Crop Production/Industries; Environmental Economics and Policy; Land Economics/Use; Production Economics; Resource /Energy Economics and Policy; Q16; Q15; Q57; Q18. |
| Ano: 2010 |
URL: http://purl.umn.edu/98277 |
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| Egbendewe-Mondzozo, Aklesso. |
| This paper investigates the extent of the market, using a switching regimes model similar to those used in stochastic frontiers estimations. We started by performing a Monte Carlo simulation on our model, seeking to evaluate its performance in terms of correctly estimating the probability of integration of two markets. Our Monte Carlo results under the assumption of half-normal and exponential distribution of the errors, revealed that these two distributions predict almost correctly the probability of integration of two markets. The half-normal error distribution model tends to slightly underestimate the true probability of integration, while the exponential error distribution model tends to slightly overestimate the true probability of integration. We,... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Industrial Organization. |
| Ano: 2009 |
URL: http://purl.umn.edu/46420 |
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