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A DYNAMIC ANALYSIS OF THE IMPACT OF WATER QUALITY POLICIES ON IRRIGATION INVESTMENT AND CROP CHOICE DECISIONS AgEcon
Wu, JunJie; Mapp, Harry P., Jr.; Bernardo, Daniel J..
A dynamic model is developed to analyze farmers' irrigation investment and crop choice decisions under alternative water quality protection policies. The model is applied to an empirical example in the Oklahoma High Plains. The choices of crops and irrigation systems and the resulting levels of irrigation, income, and nitrogen runoff and percolation are simulated over a ten-year period. An effluent tax on nitrogen runoff and percolation is shown to be effective in reducing nitrate pollution. The efficacy of cost sharing in adopting modern irrigation technologies and restrictions on irrigation water use depends on soil type. A tax on nitrogen use is shown to be the least effective policy.
Tipo: Journal Article Palavras-chave: Crop selection; Dynamic optimization; Irrigation investment; Water quality; Crop Production/Industries.
Ano: 1994 URL: http://purl.umn.edu/15167
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A DYNAMIC MODEL FOR DETERMINING OPTIMAL RANGE IMPROVEMENT PROGRAMS AgEcon
Bernardo, Daniel J..
A Markov chain dynamic programming model is presented for determining optimal range improvement strategies as well as accompanying livestock production practices. The model specification focuses on the improved representation of rangeland dynamics and livestock response under alternative range conditions. The model is applied to range management decision making in the Cross Timbers Region of central Oklahoma. Results indicate that tebuthiuron treatments are economically feasible over the range of treatment costs evaluated. Optimal utilization of forage production following a treatment requires the conjunctive employment of prescribed burning and variable stocking rates over the treatment’s life.
Tipo: Journal Article Palavras-chave: Land Economics/Use; Livestock Production/Industries.
Ano: 1989 URL: http://purl.umn.edu/32358
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AN IRRIGATION MODEL FOR MANAGEMENT OF LIMITED WATER SUPPLIES AgEcon
Bernardo, Daniel J.; Whittlesey, Norman K.; Saxton, Keith E.; Bassett, Day L..
A two-stage simulation/mathematical programming model is presented for determining the optimal intraseasonal allocation of irrigation water under conditions of limited water supply. The model is applied to a series of water shortage scenarios under both surface and center pivot irrigation. Economically efficient irrigation management is shown to involve the coordination of a number of managerial decisions, including irrigation scheduling, crop substitution, the adoption of improved irrigation labor practices, and idling land. The results indicate that significant opportunities exist for conserving water in the study area under both surface and center pivot irrigation.
Tipo: Journal Article Palavras-chave: Crop Production/Industries; Resource /Energy Economics and Policy.
Ano: 1987 URL: http://purl.umn.edu/32222
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ENERGY SUPPLEMENTATION STRATEGIES FOR WHEAT PASTURE STOCKER CATTLE UNDER UNCERTAIN FORAGE AVAILABILITY AgEcon
Coulibaly, Nouhoun; Bernardo, Daniel J.; Horn, Gerald W..
Energy supplementation provides a means of reducing production risk of growing stocker cattle on winter wheat pasture. This study addresses the issue of risk aversion and energy supplement input use. Differences in supplementation practices induced by risk aversion and the effects of cattle and feed market conditions are examined. Results show that supplementation practices are likely to be similar across producers, irrespective of their risk attitudes. Cattle and feed market conditions, however, markedly affect supplementation practices. These findings provide information for assisting stockmen in identifying efficient supplement strategies.
Tipo: Journal Article Palavras-chave: Risk; Wheat pasture grazing; Numerical integration; Energy supplementation; Livestock Production/Industries.
Ano: 1996 URL: http://purl.umn.edu/15244
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ENVIRONMENTAL AND ECONOMIC IMPACTS OF SOIL EROSION AND FERTILITY MINING IN NORTHERN TANZANIA AgEcon
Nkonya, Ephraim M.; Barkley, Andrew P.; Hamilton, Stephen F.; Bernardo, Daniel J..
This paper develops a soil conservation model that is relevant to smallholder farmers who apply little or no fertilizer. Empirical results drawn from northern Tanzania imply that, ignoring fertility mining problem in model specification leads to overestimation of profits for farms that apply little or no fertilizer. The model also shows that, the impact of output price on soil conservation efforts depends on the curvature of the soil erosion function.
Tipo: Conference Paper or Presentation Palavras-chave: Soil erosion; Fertility mining; Soil conservation; Price policy; Soil erosion function; Sub-Saharan Africa; Tanzania.; Environmental Economics and Policy; Land Economics/Use.
Ano: 1999 URL: http://purl.umn.edu/21623
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Improving Agriculture Students' Understanding of Global Production Systems through Distance Learning AgEcon
Bernardo, Daniel J.; Cameron, Donald; Conforte, Daniel; Sorokin, Pavel.
Globalization is a fundamental force currently shaping agricultural sector throughout the world. To make sound decisions in a globalised economy, agricultural producers and agribusiness managers must have a high level of understanding of the international dimensions of their industry. To address this need, we are developing a course aimed at helping agricultural students better understand the managerial environment faced by producers worldwide. This course will provide students an opportunity to learn about agricultural production, and the context in which it occurs, by analyzing real-world farm case studies in various countries on four continents in both hemispheres of the globe. Eight case studies are being developed to exemplify the production and...
Tipo: Conference Paper or Presentation Palavras-chave: Globalization; International; Comparative farm case studies; Distance learning; Teaching/Communication/Extension/Profession.
Ano: 2005 URL: http://purl.umn.edu/24244
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INCORPORATING UNCERTAINTY IN THE ANALYSIS OF OPTIMAL BEEF-FORAGE PRODUCTION SYSTEMS AgEcon
Rawlins, Richard B.; Bernardo, Daniel J..
A risk programming model was developed to evaluate the tradeoffs between risk and expected returns in beef-forage production systems. The specification represents nutrient and intake considerations when allocating forage among cattle enterprises; it also incorporates the various sources of risk facing livestock producers. Efficient ranch organizations were derived for a representative eastern Oklahoma ranch using MOTAD and Target-MOTAD formulations. Diversification of forage enterprises, introduction of cow-calf enterprises, and retained ownership of weaned calves were identified as important responses to reductions in acceptable levels of risk. Results also indicated efficient ranch plans to be sensitive to the risk criteria and producer's willingness...
Tipo: Journal Article Palavras-chave: Livestock Production/Industries; Risk and Uncertainty.
Ano: 1991 URL: http://purl.umn.edu/30308
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THE EFFECT OF SPATIAL VARIABILITY OF IRRIGATION APPLICATIONS ON RISK-EFFICIENT IRRIGATION STRATEGIES AgEcon
Bernardo, Daniel J..
The effect of irrigation system uniformity on the selection of risk-efficient irrigation strategies is evaluated using crop simulation and stochastic dominance procedures. Alternative strategies are evaluated under assumptions of both uniform and non-uniform application. Results indicate that the variability of net returns resulting from the employment of a specified schedule increases when irrigation uniformity is explicitly represented. Solutions derived using economic efficiency and stochastic dominance criteria indicate that the uniformity with which irrigations are applied contributes to the application of water-intensive irrigation schedules.
Tipo: Journal Article Palavras-chave: Crop Production/Industries.
Ano: 1988 URL: http://purl.umn.edu/29715
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