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Registros recuperados: 12 | |
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Velandia, Margarita M.; Rejesus, Roderick M.; Knight, Thomas O.; Sherrick, Bruce J.. |
Factors affecting the adoption of crop insurance, forward contracting, and spreading sales are analyzed using multivariate and multinomial probit approaches that account for simultaneous adoption and/or correlation among the three risk management adoption decisions. Our empirical results suggest that the decision to adopt crop insurance, forward contracting, and/or spreading sales are correlated. Richer insights can be drawn from our multivariate and multinomial probit analysis than from separate, single-equation probit estimation that assumes independence of adoption decisions. Some factors significantly affecting the adoption of the risk management tools analyzed are proportion of owned acres, off-farm income, education, age, and level of business risks. |
Tipo: Journal Article |
Palavras-chave: Adoption decisions; Crop insurance; Forward contracting; Multinomial probit; Multivariate probit; Risk management; Spreading sales; Agribusiness; Agricultural Finance; Crop Production/Industries; Demand and Price Analysis; Risk and Uncertainty; G22; Q12; Q18. |
Ano: 2009 |
URL: http://purl.umn.edu/48751 |
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Jenkins, Amanda; Velandia, Margarita M.; Lambert, Dayton M.; Roberts, Roland K.; Larson, James A.; English, Burton C.; Martin, Steven W.. |
Precision farming information demanded by cotton producers is provided by various suppliers, including consultants, farm input dealerships, University Extension systems, and media sources. Factors associated with the decisions to select among information sources to search for precision farming information are analyzed using a multivariate probit regression accounting for correlation among the different selection decisions. Factors influencing these decisions are age, education, and income. These findings should be valuable to precision farming information providers who may be able to better meet their target clientele needs. |
Tipo: Journal Article |
Palavras-chave: Extension; Information-source-use decisions; Media; Multivariate probit; Precision agriculture technologies; Private sources; Farm Management; Teaching/Communication/Extension/Profession. |
Ano: 2011 |
URL: http://purl.umn.edu/117779 |
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Davis, James A.; Velandia, Margarita M.; Clark, Christopher D.; Lambert, Dayton M.; Jensen, Kimberly L.; Wilcox, Michael D.; Wszelaki, Annette. |
State programs promoting agricultural products have proliferated in response to increased consumer interest in locally grown foods. Tennessee, for example, currently has two state-sponsored programs promoting Tennessee agricultural products. This study examines the factors associated with fruit and vegetable farmer participation in these programs using mean comparisons and bivariate probit regression. Results suggest that farmer participation in these programs was associated with operation size, percentage of income from farming, percentage of annual sales from fresh produce, and attendance to University Extension educational events. These results should interest individuals attempting to increase producer participation in these types of programs. |
Tipo: Presentation |
Palavras-chave: State-sponsored marketing program; Fruit and vegetable marketing; Tennessee producer participation; Bivariate probit regression.JEL: Q13; Q18.; Agribusiness; Agricultural and Food Policy; Marketing; Q13; Q18.. |
Ano: 2012 |
URL: http://purl.umn.edu/123923 |
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Mooney, Daniel F.; Roberts, Roland K.; English, Burton C.; Lambert, Dayton M.; Larson, James A.; Velandia, Margarita M.; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Mishra, Ashok K.; Paxton, Kenneth W.; Rejesus, Roderick M.; Segarra, Eduardo; Wang, Chenggang; Reeves, Jeanne M.. |
Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey |
Tipo: Report |
Palavras-chave: Cotton; Precision farming; Survey; Agribusiness; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies. |
Ano: 2010 |
URL: http://purl.umn.edu/91333 |
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Velandia, Margarita M.; Lambert, Dayton M.; Mendieta, Maria P.; Roberts, Roland K.; Larson, James A.; English, Burton C.; Rejesus, Roderick M.; Mishra, Ashok K.. |
Information generated by precision farming technologies is of particular importance to producers. Precision farming technologies implies the ability to improve the management of production factors using site-specific information. This study examines factors influencing cotton farmers’ perceptions about the importance of crop consultants, farm input dealerships, Extension, other farmers, trade shows, the Internet and printed news/media for making precision farming decisions using a rank ordered logit model (ROLM). Results suggest that age, land tenure, income, percentage of income from farming, and location may affect farmers’ perceptions about the importance of different information sources when making decisions about precision farming technologies.... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Information-source preferences; Rank Ordered Logit Model; Precision Farming; Production Economics; Research Methods/ Statistical Methods; Q16; C25. |
Ano: 2011 |
URL: http://purl.umn.edu/103752 |
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Pandit, Mahesh; Mishra, Ashok K.; Paudel, Krishna P.; Larkin, Sherry L.; Rejesus, Roderick M.; Lambert, Dayton M.; English, Burton C.; Larson, James A.; Velandia, Margarita M.; Roberts, Roland K.; Kotsiri, Sofia. |
We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors influencing cotton farmers’ decisions to adopt precision farming. Using a seemingly unrelated ordered probit model, we found that younger, educated and computer literate farmers chose precision farming for profit reason. Farmers who perceived precision farming to be profitable adopt it to be at the forefront of agricultural technology. We also found that farmers who were concerned with environment emphasize precision farming adoption as a reason to improve environmental quality. Our results also indicate that farmers in coastal states such as Alabama, Mississippi, and North Carolina chose environmental benefits as a reason for precision farming technology... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Precision technologies; Seemingly unrelated ordered probit; Cotton; Agricultural Finance; Farm Management; Q16; C35. |
Ano: 2011 |
URL: http://purl.umn.edu/98575 |
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Velandia, Margarita M.; Rejesus, Roderick M.; Segarra, Eduardo; Bronson, Kevin. |
This paper develops a management zone delineation procedure based on a spatial statistics approach and evaluates its economic impact for the case of Texas cotton production. With the use of an optimization model that utilizes a yield response function estimated through spatial econometric methods, we found that applying variable N rates based on the management zones delineated would result in higher cotton yields and higher net returns, above Nitrogen cost, relative to uniformly applying a single N rate for the whole field. In addition, a variable rate N application using the delineated management zones produced higher net returns, above Nitrogen cost, relative to a variable N rate system where the zones are based solely on landscape position. This is... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Management Zones; Exploratory Spatial Data Analysis; Site-Specific Nitrogen Management; Cotton Precision Agriculture.; Crop Production/Industries; Q1; Q16. |
Ano: 2006 |
URL: http://purl.umn.edu/35387 |
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Registros recuperados: 12 | |
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