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| Registros recuperados: 80 | |
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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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| Paxton, Kenneth W.; Mishra, Ashok K.; Chintawar, Sachin; Larson, James A.; Roberts, Roland K.; English, Burton C.; Lambert, Dayton M.; Marra, Michele C.; Larkin, Sherry L.; Reeves, Jeanne M.; Martin, Steven W.. |
| Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the number of specific types of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the influence of spatial yield variability on the number of precision farming technologies adopted, using a Count data estimation procedure and farm-level data. Results indicate that farmers with more within-field yield variability adopted a larger number of precision agriculture technologies. Younger and better educated producers and the number of precision agriculture technologies were significantly correlated. Finally, farmers using computers for... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Precision technologies; Poisson; Negative Binomial; Count-data method; GIS; Education; Cotton; Agricultural and Food Policy; Farm Management; Labor and Human Capital; Land Economics/Use; Productivity Analysis; Resource /Energy Economics and Policy. |
| Ano: 2010 |
URL: http://purl.umn.edu/56486 |
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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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| Qualls, D. Joshua; Jensen, Kimberly L.; English, Burton C.; Larson, James A.; Clark, Christopher D.. |
| In the United States, biomass is the largest source of renewable energy accounting for over 3 percent of the energy consumed domestically and is currently the only source for liquid, renewable, transportation fuels. Continued development of biomass as a renewable energy source is being driven in large part by the Energy Independence and Security Act of 2007, which mandates that by 2022 at least 36 billion gallons of fuel ethanol be produced, with at least 16 billion gallons being derived from cellulose, hemi-cellulose, or lignin. However, the market for cellulosic biofuels is still under development. As such, little is known about producer response to feedstock prices paid for dedicated energy crops. While there have been some studies done on factors that... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Switchgrass; Farmer Adoption; Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies; Resource /Energy Economics and Policy; Q12; Q16. |
| Ano: 2011 |
URL: http://purl.umn.edu/98625 |
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| Jensen, Kimberly L.; Jakus, Paul M.; English, Burton C.; Menard, R. Jamey. |
| We use Kristrom’s simple spike model to assess the factors influencing consumers’ willingness to pay a premium for a variety of certified wood products. A survey of over 1,600 Pennsylvania and Tennessee residents found that approximately 35% were willing to pay some positive “premium” for environmentally certified wood products. For three types of weed products (a $28.80 shelf, a $199 chair, and a $799 table), we find the estimated market premiums to be $3.74, $15.94, and $45.07, respectively. |
| Tipo: Journal Article |
Palavras-chave: Eco-certification; Eco-labeling; Price premium; Spike models; Q5; Q23. |
| Ano: 2004 |
URL: http://purl.umn.edu/43452 |
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| Roberts, Roland K.; English, Burton C.; Gao, Qi; Larson, James A.. |
| If adoption of herbicide-resistant seed and adoption of conservation-tillage practices are determined simultaneously, adoption of herbicide-resistant seed could indirectly reduce soil erosion and adoption of conservation-tillage practices could indirectly reduce residual herbicide use and increase farm profits. Our objective was to evaluate the relationship between these technologies for Tennessee cotton production. Evidence from simultaneous estimation of a trinomial logit model for adoption of no-tillage, other conservation-tillage, and conventional-tillage practices and a binomial logit model for adoption of herbicide-resistant and conventional cotton seed suggests a simultaneous relationship. The elasticity for acreage in herbicide-resistant seed... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Environmental Economics and Policy. |
| Ano: 2006 |
URL: http://purl.umn.edu/21304 |
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| Registros recuperados: 80 | |
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