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Integrative Investment Appraisal of a Lignocellulosic Biomass-to-Ethanol Industry AgEcon
Tembo, Gelson; Epplin, Francis M.; Huhnke, Raymond L..
While theoretically more efficient than starch-based ethanol production systems, conversion of lignocellulosic biomass to ethanol is not without major challenges. A multi-region, multi-period, mixed integer mathematical programming model encompassing alternative feedstocks, feedstock production, delivery, and processing is developed. The model is used to identify key cost components and potential bottlenecks, and to reveal opportunities for reducing costs and prioritizing research. The research objective was to determine for specific regions in Oklahoma the most economical source of lignocellulosic biomass, timing of harvest and storage, inventory management, biorefinery size, and biorefinery location, as well as the breakeven price of ethanol, for a...
Tipo: Journal Article Palavras-chave: Biomass; Biorefinery location; Ethanol; Integrative investment appraisal; Logistics; Mixed integer programming; Resource /Energy Economics and Policy.
Ano: 2003 URL: http://purl.umn.edu/31070
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Multiple goals in farmers’ decision making: The case of sheep farming in Western Greece AgEcon
Sintori, Alexandra; Rozakis, Stelios; Tsiboukas, Kostas.
Management strategies and performance differ among farmers, as a result of different, multiple and often conflicting goals. Many approaches to building farm level models that incorporate multiple goals have been developed over the years, most of which share a common weakness. The determination of the goals to be used as attributes in the utility function is the result of a highly interactive process with the individual farmer, often difficult to implement. In this study, we use a non-interactive methodology, described in recent literature, to elicit the utility function of selected sheep farmers in western Greece, since farmers often appear reluctant to answer straightforward questions about their goals and preferences. Τhe results indicate that sheep...
Tipo: Conference Paper or Presentation Palavras-chave: Sheep farming; Mixed integer programming; Multiple goals; Noninteractive elicitation; Livestock Production/Industries; C61; D21; Q12.
Ano: 2009 URL: http://purl.umn.edu/51075
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The Impacts of Farm Size and Economic Risk on No-Till Rice Whole-Farm Profitability AgEcon
Watkins, K. Bradley; Hignight, Jeffrey A.; Anders, Merle M..
This study evaluated the impacts of farm size and stochastic return variability on no-till (NT) rice profitability at the whole-farm level. Mixed integer programming was used to determine optimal machinery complements, fuel consumption, and machinery labor requirements for conventional till (CT) and NT rice-soybean farms of 1200, 2400, and 3600 acres in size. Crop yields, market prices, and prices for key production inputs were simulated to construct stochastic whole-farm net returns for each farm size under CT and NT management, and both first and second degree stochastic dominance analysis were used to rank cumulative distribution functions of whole-farm returns according to specified risk preferences. The results indicate NT farms exhibit second degree...
Tipo: Conference Paper or Presentation Palavras-chave: Mixed integer programming; No-till; Profitability; Rice; Risk; Simulation; Stochastic dominance; Whole-farm; Farm Management; Production Economics; Risk and Uncertainty.
Ano: 2011 URL: http://purl.umn.edu/98733
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Whole-Farm Evaluation of No-Till Profitability in Rice Production using Mixed Integer Programming AgEcon
Watkins, K. Bradley; Hill, Jason L.; Anders, Merle M.; Windham, Tony E..
Rice production in Arkansas usually involves intensive tillage. No-till rice has been studied, but the focus has been limited to impacts on yields and per acre returns. This study uses mixed integer programming to model optimal machinery selection and evaluate whole-farm profitability of no-till management, for rice-soybean farms. Results indicate that lower machinery ownership expenses combined with lower fuel and labor expenses do enhance the profitability of no-till management, but the monetary gains appear to be modest, implying that other incentives may be necessary to entice producers to use the practice.
Tipo: Journal Article Palavras-chave: Conventional till; Economies of size; Machinery complements; Mixed integer programming; No-till; Rice; Soybean; Whole-farm net returns; Farm Management; Q12; Q15; Q16; Q24; Q25.
Ano: 2006 URL: http://purl.umn.edu/43792
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