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Productivity Divergence Across Kansas Farms AgEcon
Yeager, Elizabeth A.; Langemeier, Michael R..
This study used 30 years of continuous data for 135 farms in Kansas to explore changes in productivity using Malmquist productivity indices. The indices were used to determine whether there was productivity convergence or divergence in Kansas farms. The results showed that there was significant divergence among the farms and not a tendency for farms to catch-up to the same levels of productivity as the top farms in the sample. The average annual productivity growth over the sample period, 1979-2008, was 0.50 percent. The top farms based on MPI were larger in terms of value of farm production, crop farm income and livestock farm income and received a larger percentage of their income from oilseeds, feed grains, and swine than the other farms on average and...
Tipo: Conference Paper or Presentation Palavras-chave: Farm Management; Production Economics; Productivity Analysis.
Ano: 2010 URL: http://purl.umn.edu/61174
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Economic Efficiency Adjusted for Risk Preferences AgEcon
Yeager, Elizabeth A.; Langemeier, Michael R..
This study investigates the impact of risk preferences on economic efficiency scores. Risk averse individuals may be less likely to adopt new technologies and have lower production levels than individuals with other risk preferences. Nonparametric techniques are used to estimate cost and revenue efficiency for a sample of Kansas farms. Each farm had a risk preference score and the scores in the sample ranged from 5 to 86 where a smaller value represents greater risk aversion. Efficiency estimates were first calculated using traditional input and output measures. Efficiency was re-estimated including the inverse risk preference score as a non-discretionary input. Comparisons were made between the characteristics of the farms with an observed...
Tipo: Presentation Palavras-chave: Cost Efficiency; Revenue Efficiency; Risk Preference; Agribusiness; Farm Management; Production Economics; Risk and Uncertainty; C14; D22; D81.
Ano: 2012 URL: http://purl.umn.edu/124012
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A Case Study of the Impact of Bioenergy Development Upon Crop Production, Livestock Feeding, and Water Resource Usage in Kansas AgEcon
O'Brien, Daniel M.; Woolverton, Mike; Maddy, Lucas; Pozo, Veronica F.; Roe, Joshua D.; Tajchman, Jenna R.; Yeager, Elizabeth A..
The development of grain-based ethanol production in Kansas has had a marked impact upon the feedgrain and livestock industries of the state. The increased focus on feedgrain production stemming from ethanol development impacts the use and sustainability of Kansas water resources, and has changed the proportional mix of crops grown in the state. The need to handle increased amounts of feedgrains and to transport them to ethanol plants has affected the functional role of local grain elevators as well as the directional flow of grain within the state. The grain trucking industry has been dramatically affected by the increase in demand for moving both feedstock inputs and co-product outputs to and from ethanol plants in the state.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries; Livestock Production/Industries; Resource /Energy Economics and Policy.
Ano: 2008 URL: http://purl.umn.edu/6432
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Sample Size and Robustness of Inferences from Logistic Regression in the Presence of Nonlinearity and Multicollinearity AgEcon
Bergtold, Jason S.; Yeager, Elizabeth A.; Featherstone, Allen M..
The logistic regression models has been widely used in the social and natural sciences and results from studies using this model can have significant impact. Thus, confidence in the reliability of inferences drawn from these models is essential. The robustness of such inferences is dependent on sample size. The purpose of this study is to examine the impact of sample size on the mean estimated bias and efficiency of parameter estimation and inference for the logistic regression model. A number of simulations are conducted examining the impact of sample size, nonlinear predictors, and multicollinearity on substantive inferences (e.g. odds ratios, marginal effects) and goodness of fit (e.g. pseudo-R2, predictability) of logistic regression models. Findings...
Tipo: Conference Paper or Presentation Palavras-chave: Logistic Regression Model; Multicollinearity; Nonlinearity; Robustness; Small Sample Bias; Research Methods/ Statistical Methods.
Ano: 2011 URL: http://purl.umn.edu/103771
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Productivity Divergence across Kansas Farms AgEcon
Yeager, Elizabeth A.; Langemeier, Michael R..
This study used 30 years of continuous data for 135 farms in Kansas to explore changes in productivity using Malmquist productivity indices (MPI). The indices were used to determine whether there was productivity convergence or divergence in Kansas farms. The results showed there was significant divergence among the farms. The average annual productivity growth was 0.50 percent; the top farms based on MPI were larger in terms of value of farm production, crop farm income, and livestock farm income and received a larger percentage of their income from oilseeds, feed grains, and swine than the other farms on average.
Tipo: Journal Article Palavras-chave: Convergence; Divergence; Productivity growth; Production Economics; Productivity Analysis.
Ano: 2011 URL: http://purl.umn.edu/117777
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Impact of Changes in Energy Input Prices on Ethanol Importation and Prices AgEcon
Yeager, Elizabeth A.; Featherstone, Allen M..
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis; International Relations/Trade; Resource /Energy Economics and Policy.
Ano: 2011 URL: http://purl.umn.edu/104026
Registros recuperados: 6
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