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A Binary Logit Estimation of Factors Affecting Adoption of GPS Guidance Systems by Cotton Producers

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  • “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.

Abstract

Binary logit analysis was used to identify the factors influencing adoption of Global Positioning System (GPS) guidance systems by cotton farmers in 11 Mid-south and Southeastern states. Results indicate that adoption was more likely by those who had already adopted other precision-farming practices and had used computers for farm management. In addition, younger and more affluent farmers were more likely to adopt. Farmers with larger farms and with relatively high yields were also more likely to adopt. Education was not a significant factor in a farmer's decision to adopt GPS guidance systems.

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  • “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.
    • Handle: RePEc:cup:jagaec:v:40:y:2008:i:01:p:345-355_02
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    1. Fernandez-Cornejo, Jorge & Daberkow, Stan G. & McBride, William D., 2001. "Decomposing The Size Effect On The Adoption Of Innovations: Agrobiotechnology And Precision Farming," 2001 Annual meeting, August 5-8, Chicago, IL 20527, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    3. Lowenberg-DeBoer, J., 1999. "Risk Management Potential of Precision Farming Technologies," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(2), pages 275-285, August.
    4. El-Osta, Hisham S. & Mishra, Ashok K., 2001. "Adoption And Economic Impact Of Site-Specific Technologies In U.S. Agriculture," 2001 Annual meeting, August 5-8, Chicago, IL 20593, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Lowenberg-DeBoer, James, 1999. "Risk Management Potential Of Precision Farming Technologies," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(2), pages 1-11, August.
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    4. Asare, Eric & Segarra, Eduardo, 2017. "Adoption and Extent of Adoption of Georeferenced Grid Soil Sampling Technology by Cotton Producers in the Southern US," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252773, Southern Agricultural Economics Association.
    5. Velandia, Margarita & Edge, Brittani & Boyer, Christopher & Larson, James & Lambert, Dayton & Wilson, Bradley & Buschermohle, Michael & Rejesus, Roderick & Falconer, Larry & English, Burton C., 2016. "Factors Influencing the Adoption of Automatic Section Control Technologies and GPS Auto-Guidance Systems in Cotton Production," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235563, Agricultural and Applied Economics Association.
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    9. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    10. Yagi, Hironori & Howitt, Richard, 2013. "PR - Scope Of The Firm And Management Information In Large-scale Rice Farms," 19th Congress, Warsaw, Poland, 2013 345705, International Farm Management Association.
    11. Pandit, Mahesh & Paudel, Krishna P. & Mishra, Ashok K. & Segarra, Eduardo, 2012. "Adoption and Nonadoption of Precision Farming Technologies by Cotton Farmers," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125004, Agricultural and Applied Economics Association.
    12. Wafullah, Teresah Nekesah, 2017. "Analysis Of The Use Of Inoculant-Based Technologies By Smallholder Farmers And Its Effect On Output Commercialization: Case Of Field Bean Farmers In Western Kenya," Research Theses 276457, Collaborative Masters Program in Agricultural and Applied Economics.
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    15. Wafula, Teresia Nekesah & Okello, Julius Juma & Otieno, David Jakinda, 2017. "Analysis Of The Use Of Inoculant-Based Technologies By Smallholder Farmers And Its Effect On Output Commercialization: Case Of Field Bean Farmers In Western Kenya," Dissertations and Theses 269392, University of Nairobi, Department of Agricultural Economics.
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    More about this item

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land

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