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Baldwin, E. Dean; Wisner, Robert N.; Blue, E. Neal. |
Pre-harvest corn and soybean options-based pricing strategies, and crop yield and revenue insurance were applied to model farms in three states. These combinations reduced income variability while increasing net incomes relative to uninsured harvest cash sales. Adding crop insurances to pre-harvest pricing reduced net incomes from those with pre-harvest pricing alone, but produced larger incomes than uninsured harvest sales. The Ohio model farm was modified to reflect (1) a debt-free operation, (2) a cash renter, and (3) a buyer-renter operation. No strategy was able to cover opportunity costs on investments for types (1) and (3). For farm type (3), mean net cash-flow returns were negative for harvest cash sales, but positive when pre-harvest pricing was... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Demand and Price Analysis; Risk and Uncertainty. |
Ano: 1998 |
URL: http://purl.umn.edu/20843 |
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Blue, E. Neal; Wisner, Robert N.; Baldwin, E. Dean. |
This study was undertaken to update earlier work by the authors that analyzed selected preharvest pricing strategies utilizing options markets to establish a price floor for part of the crop in the spring, with additional pricing done by use of short hedges in early summer. The timing of implementing these strategies was moved back to late February if the previous year's U.S. crop was a weather-induced short crop. A weather-induced short crop as opposed to a government program induced short crop was defined as one in which U.S. production fell below the previous year's use and the U.S. average yield was at least 6% below a trend yield. Previous work by the authors indicated that selected pre-harvest strategies applied to actual farms in Iowa and Ohio over... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Marketing. |
Ano: 2004 |
URL: http://purl.umn.edu/19010 |
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Baldwin, E. Dean; Thraen, Cameron S.; Larson, Donald W.. |
Scherer's industrial organization model is modified to characterize the grain marketing system. The modified model identifies the important relationships between economic characteristics and the type of grain facilities found in three states; Alabama, Illinois, and Ohio. Multivariate linear discriminate analysis is used to identify the important basic supply, demand, and transportation variables within and among these states. It is concluded that the structural differences among selected grain marketing regions can be explained by regional differences in basic supply, demand, and transportation variables. The findings suggest that Scherer's industrial organization model can be adapted to explain the diverse structure of the grain marketing system in... |
Tipo: Journal Article |
Palavras-chave: Industrial Organization. |
Ano: 1984 |
URL: http://purl.umn.edu/29729 |
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