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Registros recuperados: 5
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To Remain Relevant, Changes Agents Also Need to Change AgEcon
Klinefelter, Danny A..
Tipo: Journal Article
Ano: 2006 URL: http://purl.umn.edu/43874
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DISCUSSION: CAPITAL FOR THE AGRICULTURE OF THE FUTURE AgEcon
Klinefelter, Danny A..
Tipo: Journal Article Palavras-chave: Agricultural Finance.
Ano: 1985 URL: http://purl.umn.edu/29379
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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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Growing Complexity of Agricultural Lending Decisions AgEcon
Klinefelter, Danny A.; Penson, John B., Jr..
Tipo: Journal Article Palavras-chave: Agricultural Finance.
Ano: 2005 URL: http://purl.umn.edu/93319
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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
Registros recuperados: 5
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