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Registros recuperados: 12
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Factors Affecting Farmers’ Utilization of Agricultural Risk Management Tools: The Case of Crop Insurance, Forward Contracting, and Spreading Sales AgEcon
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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Economics of Management Zone Delineation in Cotton Precision Agriculture AgEcon
Velandia, Margarita M.; Rejesus, Roderick M.; Segarra, Eduardo; Bronson, Kevin.
This paper develops a management zone delineation procedure based on a spatial clustering approach and evaluates its economic impact for the case of Texas cotton production. The results show that there is potential economic value in using a spatial approach to management zone delineation, but its value critically depends on the cost of collecting soil test information needed to delineate those zones.
Tipo: Conference Paper or Presentation Palavras-chave: Management Zones; Exploratory Spatial Data Analysis; Site-Specific Nitrogen Management; Cotton Precision Agriculture; Crop Production/Industries; Q12.
Ano: 2006 URL: http://purl.umn.edu/25783
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The Relevance of Information Sources on Adoption of Precision Farming Technologies by Cotton Producers AgEcon
Garcia-Jimenez, Carlos I.; Mishra, Ashok K.; Paxton, Kenneth W.; Lambert, Dayton M.; Velandia, Margarita M.; Rejesus, Roderick M.; Segarra, Eduardo.
Replaced with revised version of paper 02/16/11.
Tipo: Conference Paper or Presentation Palavras-chave: Strategic communication; Competitiveness; Extension; Economics of information; Technology diffusion; Technology supply; Communication methods; Knowledge management; Production Economics; Research and Development/Tech Change/Emerging Technologies; Teaching/Communication/Extension/Profession; D22; D80; D82; D83; Q12; Q16.
Ano: 2010 URL: http://purl.umn.edu/98123
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Factors Influencing the Selection of Precision Farming Information Sources by Cotton Producers AgEcon
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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Factors Affecting Producer Participation in State-Sponsored Marketing Programs By Fruit and Vegetable Growers in Tennessee AgEcon
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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Adoption of Variability Detection and Variable Rate Application Technologies by Cotton Farmers in Southern United States AgEcon
Nair, Shyam; Wang, Chenggang; Segarra, Eduardo; Belasco, Eric J.; Velandia, Margarita M.; Reeves, Jeanne M..
A nested logit model was used to analyze the 2009 Southern Cotton Precision Farming Survey to study the impact of farmer and farm characteristics on the adoption of Variability Detection Technologies (VDT) and the adoption of Variability Rate application Technology (VRT) conditioned on the type of the VDT chosen. The results showed that the farm size and exposure to extension activities are important factors affecting the choice of VDTs. The farmers adopting both soil and plant based VDTs are more likely to adopt VRT. The probability of adoption of VRTs was lower for Texas cotton farmers irrespective of the type of VDT adopted. In general, younger, more educated farmers who use computers for farming operations are more likely to adopt VRT when they...
Tipo: Conference Paper or Presentation Palavras-chave: Precision Agriculture; Technology Adoption; Cotton; Crop Production/Industries; Farm Management; Research and Development/Tech Change/Emerging Technologies; O33; Q16.
Ano: 2011 URL: http://purl.umn.edu/103567
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Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey AgEcon
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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Factors Influencing Cotton Farmers’ Perceptions about the Importance of Information Sources in Precision Farming Decisions AgEcon
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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Farmers' Perceptions about Spatial Yield Variability and Precision Farming Technology Adoption: An Empirical Study of Cotton Production in 12 Southeastern States AgEcon
Kotsiri, Sofia; Rejesus, Roderick M.; Marra, Michele C.; Velandia, Margarita M..
This paper examines how cotton farmers' perceptions about their spatial yield variability influence their decision to adopt precision farming technologies. Utilizing cross-section survey data from 12 Southeastern states and a two-step econometric modeling approach, we find that farmers who perceive their yields as more spatially heterogeneous will more likely use site specific information gathering technologies and apply their inputs at a variable rate. In addition, our empirical analysis shows that perceptions about future profitability and importance of precision farming, along with socio-economic factors, also drive the technology adoption decision. These results have implications for producers contemplating the variable rate management decisions, as...
Tipo: Conference Paper or Presentation Palavras-chave: Multinomial logit; Endogeneity; Variable rate input applications; Site specific information gathering technology; Yield perceptions; Agribusiness; Farm Management; Production Economics; Productivity Analysis; Q12; Q16.
Ano: 2011 URL: http://purl.umn.edu/98689
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Factors Influencing Selection of Information Sources by Cotton Producers Considering Adoption of Precision Agriculture Technologies AgEcon
Velandia, Margarita M.; Lambert, Dayton M.; Jenkins, Amanda; Roberts, Roland K.; Larson, James A.; English, Burton C.; Martin, Steven W..
Acknowledgements: The authors thank Cotton Incorporated and the Tennessee Agricultural Experiment Station for financial support
Tipo: Conference Paper or Presentation Palavras-chave: Information source use decisions; Precision Agriculture Technologies; Extension; Media; Private sources; Multivariate Probit; Teaching/Communication/Extension/Profession; Q12; Q16.
Ano: 2009 URL: http://purl.umn.edu/49326
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Reasons for Adopting Precision Farming: A Case Study of U.S. Cotton Farmers AgEcon
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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Economics of Management Zone Delineation in Cotton Precision Agriculture AgEcon
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
Registros recuperados: 12
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