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AN ECONOMIC ANALYSIS OF A CORN-SOYBEAN CROP ROTATION UNDER VARIOUS INPUT COMBINATIONS IN SOUTH CENTRAL TEXAS AgEcon
Funk, Robert D.; Mjelde, James W.; Hons, Frank M.; Saladino, Vince A..
Eight input combinations of commercial fertilizer, insecticides, and herbicides on a corn-soybean crop rotation in the Brazos River Bottom of Texas are evaluated. Input combinations which do not fully utilize all three inputs are consistently ranked higher by all criteria as the preferred input strategy for the corn-soybean rotation system. These results, which indicate limited input crop rotations that fall somewhere between the extremes of conventional agricultural production and organic agriculture, deserve further attention as a possible production alternative.
Tipo: Journal Article Palavras-chave: Corn; Limited input; Soybean; Crop Production/Industries.
Ano: 1999 URL: http://purl.umn.edu/15142
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BIOPHYSICAL SIMULATION IN SUPPORT OF CROP PRODUCTION DECISIONS: A CASE STUDY IN THE BLACKLANDS REGION OF TEXAS AgEcon
Dillon, Carl R.; Mjelde, James W.; McCarl, Bruce A..
Economic feasibility of Texas Blacklands corn production in relation to sorghum, wheat, and cotton is studied. Biophysical simulation generated yield data are integrated with an economic decision model using quadratic programming. Given the various scenarios analyzed, corn is economically feasible for the Blacklands. A crop mix of half corn and half cotton production is selected under risk neutrality with wheat entering if risk aversion is present. Corn and grain sorghum production are highly substitutable. Profit effects attributed to changing corn planting dates are more pronounced than profit changes resulting from altering corn population or maturity class.
Tipo: Journal Article Palavras-chave: Crop Production/Industries.
Ano: 1989 URL: http://purl.umn.edu/30189
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CHALLENGES AND OPPORTUNITIES PROVIDED BY SEASONAL CLIMATE FORECASTS: A LITERATURE REVIEW AgEcon
Hill, Harvey S.J.; Mjelde, James W..
Use of seasonal climate forecasts is a rapidly evolving area. Effective research and application of climate forecasts require close cooperation between scientists in diverse disciplines and decision makers. Successful collaboration requires all players to at least partially understand each other's perspectives. Issues associated with seasonal forecasts, through a selected review of both physical and social sciences literature, is presented. Our hope is that the review will improve research in this area by stimulating further collaborations.
Tipo: Journal Article Palavras-chave: Climate forecasts; Review; Value of information; Resource /Energy Economics and Policy; D80; D81; O30; Q00.
Ano: 2002 URL: http://purl.umn.edu/15071
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COMBINING ECONOMIC AND BIOLOGICAL DATA TO ESTIMATE THE IMPACT OF POLLUTION ON CROP PRODUCTION AgEcon
Dixon, Bruce L.; Garcia, Philip; Adams, Richard M.; Mjelde, James W..
Duality methods utilizing a profit function framework are employed to estimate the output elasticity of ambient ozone levels on cash grain farms in Illinois. While duality methods have been recommended as a cure to many of the statistical problems of direct estimation of production functions, multicollinearity may still be a problem. A method for utilizing stochastic information on parameters of a seemingly unrelated system of equations, which is implied by profit function estimation, is developed and applied to measuring the impact of ozone. Such an approach may be necessary in measuring other environmental effects because of a lack of regressor variability.
Tipo: Journal Article Palavras-chave: Crop Production/Industries; Environmental Economics and Policy.
Ano: 1984 URL: http://purl.umn.edu/32140
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CROP IRRIGATION SCHEDULING VIA SIMULATION-BASED EXPERIMENTATION AgEcon
Talpaz, Hovav; Mjelde, James W..
A method for optimizing the irrigation schedule is presented. When the response surface, generated by “experimenting” with the crop simulation models is concave (convex), an optimal solution can be found. The process is iteratively repeated till convergence is achieved. Corn irrigation scheduling is demonstrated, with soil moisture levels as control variables.
Tipo: Journal Article Palavras-chave: Crop Production/Industries.
Ano: 1988 URL: http://purl.umn.edu/32115
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DEVELOPING FLEXIBLE ECONOMIC THRESHOLDS FOR PEST MANAGEMENT USING DYNAMIC PROGRAMMING AgEcon
Harper, Jayson K.; Mjelde, James W.; Rister, M. Edward; Way, Michael O.; Drees, Bastiaan M..
The rice stink bug is a major pest of rice in Texas, causing quality related damage. The previous threshold used for assisting in rice stink bug spray decisions lacked flexibility in economic and production decision variables and neglected the dynamics of the pest population. Using stochastic dynamic programming, flexible economic thresholds for the rice stink bug were generated. The new thresholds offer several advantages over the old, static thresholds, including increased net returns, incorporation of pest dynamics, user flexibility, ease of implementation, and a systematic process for updating.
Tipo: Journal Article Palavras-chave: Economic thresholds; Dynamic programming; Pest management; Rice; Crop Production/Industries.
Ano: 1994 URL: http://purl.umn.edu/15411
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ESTIMATING THE VALUE OF SEQUENTIAL UPDATING SOLUTIONS FOR INTRAYEAR CROP MANAGEMENT AgEcon
Mjelde, James W.; Dixon, Bruce L.; Sonka, Steven T..
Results of comparing updating versus nonupdating modeling assumptions call into question the use of models based on nonupdating strategies as valid representations of actual farmer actions. If farmers are sequential updaters, the results indicate that models assuming no updating are inaccurate. The degree of this inaccuracy ranges between 4% and 10% of profits for the study area. Further, the results indicate that updating appears to be important for both descriptive and prescriptive studies of farmer behavior.
Tipo: Journal Article Palavras-chave: Crop Production/Industries.
Ano: 1989 URL: http://purl.umn.edu/32447
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EXAMINATION OF ALTERNATIVE HETEROSCEDASTIC ERROR STRUCTURES USING EXPERIMENTAL DATA AgEcon
Mjelde, James W.; Capps, Oral, Jr.; Griffin, Ronald C..
Impacts of alternative specifications for heteroscedastic error structures are examined by estimating various production functions for corn in Central Texas. Production- and profit- maximizing levels of input and the shape of the profit equation obtained from models not corrected for heteroscedasticity differed from those obtained from models corroded for heteroscedasticaity. Using the profit-maximizing input levels for each production function gave essentially the same estimated yield and profit, regardless of the specification for heteroscedasticity employed. Differences of up to one-quarter to one-third are noted, however, in the amount of profit-maximizing levels of input used, depending on the heteroscedasticity correction.
Tipo: Journal Article Palavras-chave: Corn; Heteroscedasticity; Production function; Research Methods/ Statistical Methods.
Ano: 1995 URL: http://purl.umn.edu/15329
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EXISTENCE OF UNIQUE LIMITING PROBABILITY VECTORS IN STOCHASTIC PROCESSES WITH MULTIPLE TRANSITION MATRICES AgEcon
Mjelde, James W.; Harris, Wesley D.; Conner, J. Richard; Schnitkey, Gary D.; Glover, Michael K.; Garoian, Lee.
Concepts associated with stochastic process containing multiple transition matricies are discussed. It is proved that under certain conditions, a process with m transition matrices has m unique limiting probability vectors. This result extends the notion of discrete Markov processes to problems with intrayear and interyear dynamics. An example using a large DP model illustrates the usefulness of the concepts developed to applied problems.
Tipo: Journal Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 1992 URL: http://purl.umn.edu/30939
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Geographical Diversification: An Application of Copula Based CVaR AgEcon
Larsen, Ryan A.; Leatham, David J.; Mjelde, James W.; Wolfley, Jared L..
Tipo: Presentation Palavras-chave: Risk and Uncertainty.
Ano: 2008 URL: http://purl.umn.edu/119533
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Geographical Diversification in Agriculture: An Applied Case to Western U.S. Wheat Growers AgEcon
Larsen, Ryan A.; Mjelde, James W.; Klinefelter, Danny A.; Wolfley, Jared L..
Yield correlations between 380 different counties are calculated for non-irrigated wheat. Using this data, a function is estimated that shows the relationship between correlation and changes in geographic and climate data. In addition movement variables are included added to the specification to capture the impact of moving from one production region to another. A negative relationship was found between changes in latitude, longitude, precipitation, elevation, and temperature. Correlations and longitude and precipitation showed downward sloping concave relationship, whereas correlations and latitude showed downward sloping convex relationships. Changes in latitude and longitude are found to have greatest impact on correlation with elasticities of -1.54...
Tipo: Conference Paper or Presentation Palavras-chave: Yield Correlations; Geographical Diversification; Farm Management; Agribusiness; Crop Production/Industries; Farm Management; Risk and Uncertainty.
Ano: 2009 URL: http://purl.umn.edu/46819
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Machinery-Sharing Contractual Issues and Impacts on Cash Flows of Agribusinesses AgEcon
Wolfley, Jared L.; Mjelde, James W.; Klinefelter, Danny A.; Salin, Victoria.
Contractual arrangements for joint machinery ownership between independent agribusinesses are explored. A two-farm economic simulation model of locations in Texas, Colorado, and Montana is developed to provide insight associated with sharing combines. Important variables include combine size (efficiency), yield losses resulting from untimely access to equipment, the penalty structure for untimely delivery, and cost-sharing and depreciation deductions claimed between producers. Combine sharing is risk-reducing in most cases. The gains to both parties are lowest when harvesting periods overlap. While the value of sharing is positive under many scenarios, benefits from sharing are small relative to total farm revenue.
Tipo: Journal Article Palavras-chave: Combines; Machinery sharing; Risk; Simulation; Agribusiness; Agricultural Finance.
Ano: 2011 URL: http://purl.umn.edu/105536
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OBTAINING LOWER AND UPPER BOUNDS ON THE VALUE OF SEASONAL CLIMATE FORECASTS AS A FUNCTION OF RISK PREFERENCES AgEcon
Mjelde, James W.; Cochran, Mark J..
A methodological approach to obtain bounds on the value of information based on an inexact representation of the decision maker’s utility function is presented. Stochastic dominance procedures are used to derive the bounds. These bounds provide more information than the single point estimates associated with traditional decision analysis approach to valuing information, in that classes of utility functions can be considered instead of one specific utility function. Empirical results for valuing seasonal climate forecasts illustrate that the type of management strategy given by the decision maker’s prior knowledge interacts with the decision maker’s risk preferences to determine the bounds.
Tipo: Journal Article Palavras-chave: Risk and Uncertainty.
Ano: 1988 URL: http://purl.umn.edu/32118
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REGIONAL COST SHARE NECESSARY FOR RANCHER PARTICIPATION IN BRUSH CONTROL AgEcon
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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THE VALUE OF EL NINO FORECAST METHODS FOR THE U.S. WINTER WHEAT PRODUCERS, DO THEY DIFFER? AgEcon
Hill, Harvey S.J.; Park, Jaehong; Mjelde, James W.; Rosenthal, Wesley; Love, H. Alan; Fuller, Stephen W..
The value of improved climate forecasts to winter wheat producers is estimated. Two El Niño/Southern Oscillation based forecasting methods are compared. In most regions, a five phase approach is more valuable than the more commonly used three phase approach. Economic value and distributional aspects have implications for producers, policy makers, and meteorologists.
Tipo: Conference Paper or Presentation Palavras-chave: El Niño; Southern Oscillation; Value of Information; Winter Wheat; Crop Production/Industries; Resource /Energy Economics and Policy.
Ano: 1998 URL: http://purl.umn.edu/20906
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The Value of Transportation for Improving the Quality of Life of the Rural Elderly AgEcon
Israel, Alicia; Mjelde, James W.; Dudensing, Rebekka M.; Cherrington, Linda; Jin, Yanhong H.; Chen, Junyi.
When an elderly individual living in a rural community is no longer able to drive, issues that come with living in an isolated area (i.e. limited access to health and personal services, distance between home and town centers) are exaggerated and the individual may experience a decrease in their quality of life. Public transportation that supports elderly individuals may be an important issue for rural communities to consider in creating an aging-friendly community and maintaining quality of life for residents who are no longer able to drive. The purpose of this research is to obtain an understanding of opinions about public transportation for the elderly held by rural county residents and their WTP for transportation options through an additional vehicle...
Tipo: Presentation Palavras-chave: Elderly Transportation; Rural Transportation; Rural Elderly; Rural Quality of Life; Community/Rural/Urban Development.
Ano: 2012 URL: http://purl.umn.edu/119667
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WHEAT TRADE AND THE ADOPTION OF ENSO-BASED FORECASTS: DIFFERENT SCENARIOS AgEcon
Rubas, Debra J.; Mjelde, James W.; Love, H. Alan.
Previous climate information studies have used static models to estimate the benefits of using seasonal forecasts. Technology adoption studies, on the other hand, have used dynamic models but have examined the benefits of adoption ex post. The objective of this study is to examine ex ante the effects of climate forecast adoption on the international wheat market over time. Two general sets of scenarios are analyzed. The first set assumes all wheat-producers within a country or set of countries adopt the forecasts, while producers in the remaining country (ies) do not. Next, producers adopt sequentially over time based on S-shaped adoption curves, whose rates vary by country. Welfare implications are examined and compared in the different scenarios....
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2003 URL: http://purl.umn.edu/22160
Registros recuperados: 17
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