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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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Paxton, Kenneth W.; Mishra, Ashok K.; Chintawar, Sachin; Roberts, Roland K.; Larson, James A.; 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 intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the role 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 higher number of precision agriculture technologies. Younger and better educated producers and the number of precision agriculture technologies used were significantly correlated. Finally, farmers using computers for management decisions... |
Tipo: Journal Article |
Palavras-chave: Precision technologies; Poisson; Negative binomial count data method; GPS; Education; Cotton; Crop Production/Industries; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies. |
Ano: 2011 |
URL: http://purl.umn.edu/105464 |
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Chintawar, Sachin; Gabrielyan, Gnel; Westra, John V.. |
Multiple studies have estimated factors influencing cover crop adoption which include control weed population (Ngouajio et al. 2002), increased soil health (Santhi Wicks and Richard Howitt, 2005), and increased productivity (Johannes M. S. Scholberg, Santiago Dogliotti, Lincoln Zotarelli, Corey M. Cherr, Carolina Leoni and Walter A. H. Rossing, 2010, Jason Bergtold, Jason Fewella, and Patricia Duffy, 2010). An externality of adoption of cover crops that has not been explored is its potential impact on the amount of nitrogen use by farmers. Using a 2009 survey of conventional and organic corn farmers in 7 states of the US, we estimate the factors affecting adoption of cover crops and its impact on nitrogen use. While nitrogen used by farmers is considered... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Cover Crop Adoption; Nitrogen Management; Limited Dependent Endogenous Variable Model; Agricultural and Food Policy; Crop Production/Industries; Farm Management; Land Economics/Use; Production Economics; Resource /Energy Economics and Policy. |
Ano: 2011 |
URL: http://purl.umn.edu/98825 |
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