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Intensity of Precision Agriculture Technology Adoption by Cotton Producers

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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.

Abstract

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.

Suggested Citation

  • 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. , 2011. "Intensity of Precision Agriculture Technology Adoption by Cotton Producers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(1), pages 133-144, April.
    • Handle: RePEc:cup:agrerw:v:40:y:2011:i:01:p:133-144_00
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    References listed on IDEAS

    as
    1. “Ban” Banerjee, Swagata & 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, Cambridge University Press, vol. 40(1), pages 345-355, April.
    2. 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(3), pages 1-15, December.
    3. 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(1), pages 1-13, July.
    4. 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(1), pages 1-16, April.
    5. repec:cup:jagaec:v:40:y:2008:i:1:p:345-355_25 is not listed on IDEAS
    6. 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.
    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. 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.
    9. 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 255-298, January.
    10. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    11. 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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