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| Registros recuperados: 14 | |
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| Falatoonzadeh, Hamid; Conner, J. Richard; Pope, Rulon D.. |
| The most useful and practical strategy available for reducing variability of net farm income is ascertained. Of the many risk management tools presently available, five of the most commonly used are simultaneously incorporated in an empirically tested model. Quadratic programming provides the basis for decision-making in risk management wherein expected utility is assumed to be a function of the mean and variance of net income. Results demonstrate that farmers can reduce production and price risks when a combination strategy including a diversified crop production plan and participation in the futures market and the Federal Crop Insurance Program (FCIP) is implemented. |
| Tipo: Journal Article |
Palavras-chave: Risk and Uncertainty. |
| Ano: 1985 |
URL: http://purl.umn.edu/29374 |
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| Bach, Joel P.; Conner, J. Richard. |
| A feasibility study of brush for off-site water yield was undertaken in 1998 on the North Concho River near San Angelo, Texas. Subsequently, studies were conducted on eight additional Texas watersheds. Economic analysis was based on estimated control costs of the different options compared to the estimated rancher benefits of brush control. Control costs included initial and follow-up treatments required to reduce brush canopy to between 3 and 8%, and maintain it at the reduced level for 10 years. The state cost-share was estimated by subtracting the present value of rancher benefits from the present value of the total cost of the control program. The total cost of additional water was determined by dividing the total state cost-share if all eligible... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Resource /Energy Economics and Policy. |
| Ano: 2001 |
URL: http://purl.umn.edu/16631 |
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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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| Lee, Andrew C.; Conner, J. Richard; Mjelde, James W.; Richardson, James W.; Stuth, Jerry W.. |
| Large-scale brush-control programs are being proposed in Texas to increase off-site water yields. Biophysical and economic simulation models are combined to estimate the effects of brush control on representative ranches in four ecological regions of the Edwards Plateau area of Texas. Net present values of representative ranches in three of four regions decrease with brush control. Cost shares necessary for ranches from the three regions to break even range from 7% to 31% of total brush-control costs. Any large-scale brush-control program will therefore require a substantial investment by the state of Texas. |
| Tipo: Journal Article |
Palavras-chave: Agribusiness. |
| Ano: 2001 |
URL: http://purl.umn.edu/31036 |
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| Garoian, Lee; Conner, J. Richard; Scifres, C.J.. |
| McCartney rose is a range management problem on 500,000 acres of rangeland in Texas. Roller chopping followed by burning is an effective method of improving infested rangeland. However, uncertainty associated with implementing effective burns adversely affects economic feasibility of the treatment sequence. Discrete stochastic programming is used to determine optimal burning schedules under uncertainty. Optimal schedules and expected net returns vary with changes in the probability of a successful burn. |
| Tipo: Journal Article |
Palavras-chave: Resource /Energy Economics and Policy. |
| Ano: 1987 |
URL: http://purl.umn.edu/30208 |
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| Schumann, Keith D.; Conner, J. Richard; Richardson, James W.; Stuth, Jerry W.; Hamilton, Wayne T.; Drawe, D. Lynn. |
| Woody plant encroachment restricts forage production and capacity to produce grazing livestock. Biophysical plant growth simulation and economic simulation were used to evaluate a prescribed burning range management technique. Modeling systems incorporated management practices and costs, historical climate data, vegetation and soil inventories, livestock production data, and historical regional livestock prices. The process compared baseline non-treatment return estimates to expected change in livestock returns resulting from prescribed burning. Stochastic analyses of production and price variability produced estimates of greater net returns resulting from use of prescribed burning relative to the baseline. |
| Tipo: Journal Article |
Palavras-chave: Biophysical simulation; Prescribed burning; Range management; Simulation; Land Economics/Use. |
| Ano: 2001 |
URL: http://purl.umn.edu/15452 |
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| Registros recuperados: 14 | |
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