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| Registros recuperados: 62 | |
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| McCarl, Bruce A.; Rister, M. Edward; Ward, Ruby A.; Long, Charles R.; McCorkle, Dean A.; Ziari, Houshmand A.; Conner, J. Richard; Sturdivant, Allen W.; Thompson, Troy N.. |
| Mathematical programming-based systems analysis is used to examine the consequences of alternative operation configuration for the agricultural operations within the Texas Department of Criminal Justice. Continuation versus elimination of the total operation as well as individual operating departments are considered. Methodology includes a firm systems operation model combined with capital budgeting and an integer programming based investment model. Results indicate the resources realize a positive return as a whole, but some enterprises are not using resources profitably. The integer investment model is found to be superior for investigating whether to continue multiple interrelated enterprises. |
| Tipo: Journal Article |
Palavras-chave: Agribusiness; Enterprise selection; Mathematical programming; Optimal enterprise organization; Agribusiness. |
| Ano: 2000 |
URL: http://purl.umn.edu/15404 |
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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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| Helming, John F.M.; Peerlings, Jack H.M.. |
| The objective of this research is to give insights into the production, income and environmental effects of the introduction of an EU flat rate for Dutch agriculture. For this purpose, a detailed agri-environmental programming model for Dutch agriculture is used. Results of the EU flat rate scenario are compared to a reference scenario that describes agricultural production in the Netherlands in 2020. Results show that total gross margin in Dutch agriculture decreases because of the EU flat rate with 7%. The supply of starch potatoes and cow milk decreases most. Production of seed and consumption potatoes, vegetables and intensive livestock products increases slightly. This is largely due to a shift of farm payments from milk and starch potatoes... |
| Tipo: Presentation |
Palavras-chave: EU flat rate; Mathematical programming; Income volatility; Agricultural and Food Policy; Risk and Uncertainty; Q1; D8. |
| Ano: 2012 |
URL: http://purl.umn.edu/122481 |
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| Dillon, Carl R.. |
| Production risk includes yield and days suitable for fieldwork variability. Both were modeled using biophysical simulation and a mean-variance, chance-constrained mathematical programming formulation representing a Kentucky corn, soybean, and wheat producer. While crop diversification, planting date, and maturity group can be used to reduce the types of risk considered, interaction between the two influences how production practices are used to manage risk. For the conditions studied, plant population alterations were less effective for risk reduction of either component. The study provides evidence of the importance of the consideration of both elements of production risk in whole farm planning. |
| Tipo: Journal Article |
Palavras-chave: Days suitable for fieldwork; Mathematical programming; Risk management; Crop Production/Industries; Risk and Uncertainty. |
| Ano: 1999 |
URL: http://purl.umn.edu/15382 |
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| Havlik, Petr; Bamiére, Laure; Jacquet, Florence; Millet, Guy. |
| A mathematical programming model is developed and associated to a spatial pattern index (Ripley L function) to analyse the optimal reserve design and implementation for the Little Bustard conservation in Plaine de Niort. The model structure corresponds to three spatial levels, fields, farm and landscape. Simple in terms of area representation, it is detailed in terms of farm behaviour and spatially explicit. The model is applied in a normative and in a positive way. The major findings of the normative approach relate to the trade-offs between the reserve pattern and its cost. It was found that the environmentally optimal reserve, which is randomly dispersed across the zone, is the most costly one. Within the positive approach, it is illustrated that the... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Biodiversity; Spatial optimization; Mathematical programming; Environmental Economics and Policy; Farm Management. |
| Ano: 2008 |
URL: http://purl.umn.edu/44172 |
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| Registros recuperados: 62 | |
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