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Intensity of Precision Agriculture Technology Adoption by Cotton Producers

  • 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 also adopted a higher number of precision agriculture technologies.

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File URL: http://purl.umn.edu/105464
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Article provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.

Volume (Year): 40 (2011)
Issue (Month): 1 (April)
Pages:

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Handle: RePEc:ags:arerjl:105464
Contact details of provider: Web page: http://www.narea.org/

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  1. Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," NBER Technical Working Papers 0017, National Bureau of Economic Research, Inc.
  2. Banerjee, Swagata (Ban) & Martin, Steven W. & Roberts, Roland K. & Larkin, Sherry L. & Larson, James A. & Paxton, Kenneth W. & English, Burton C. & Marra, Michele C. & Reeves, Jeanne M., 2008. "A Binary Logit Estimation of Factors Affecting Adoption of GPS Guidance Systems by Cotton Producers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(01), April.
  3. Winkelmann, Rainer & Zimmermann, Klaus F, 1995. " Recent Developments in Count Data Modelling: Theory and Application," Journal of Economic Surveys, Wiley Blackwell, vol. 9(1), pages 1-24, March.
  4. Gopinath, Munisamy & Vasavada, Utpal, 1999. "Patents, R&D, And Market Structure In The U.S. Food Processing Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(01), July.
  5. Timothy C. Haab & Kenneth E. McConnell, 1996. "Count Data Models and the Problem of Zeros in Recreation Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 89-102.
  6. Mishra, Ashok K. & El-Osta, Hisham S. & Johnson, James D., 1999. "Factors Contributing To Earnings Success Of Cash Grain Farms," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(03), December.
  7. Madhu Khanna, 2001. "Sequential Adoption of Site-Specific Technologies and its Implications for Nitrogen Productivity: A Double Selectivity Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 35-51.
  8. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-98, January.
  9. Roberts, Roland K. & English, Burton C. & Larson, James A. & Cochran, Rebecca L. & Goodman, W. Robert & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Shurley, W. Donald & Reeves, Jeanne , 2004. "Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(01), April.
  10. Roberts, Roland K. & Larson, James A., 2004. "Farmers' Perceptions Of Spatial Yield Variability As Influenced By Precision Farming Information Gathering Technologies," 2004 Annual Meeting, February 14-18, 2004, Tulsa, Oklahoma 34600, Southern Agricultural Economics Association.
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