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The Relevance of Information Sources on Adoption of Precision Farming Technologies by Cotton Producers

Author

Listed:
  • Garcia-Jimenez, Carlos I.
  • Mishra, Ashok K.
  • Paxton, Kenneth W.
  • Lambert, Dayton M.
  • Velandia, Margarita M.
  • Rejesus, Roderick M.
  • Segarra, Eduardo

Abstract

The effectiveness of sources of information on adoption of precision farming technologies (PFT) by US cotton producers is evaluated. The conceptual framework considers information flows as production inputs with derived demand from the demand for PFT’s and output. By using multivariate probit regression, it’s found that the use of university publications and attendance to events organized by universities had more consistent and significant positive effects on adoption of PFT’s. Information from farm dealers impacted significantly the adoption of zone soil sampling technologies and soil survey maps. In conclusion, sources of information have positive and asymmetric effects on adoption of PFT’s.

Suggested Citation

  • Garcia-Jimenez, Carlos I. & Mishra, Ashok K. & Paxton, Kenneth W. & Lambert, Dayton M. & Velandia, Margarita M. & Rejesus, Roderick M. & Segarra, Eduardo, 2011. "The Relevance of Information Sources on Adoption of Precision Farming Technologies by Cotton Producers," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98123, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea11:98123
    DOI: 10.22004/ag.econ.98123
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    References listed on IDEAS

    as
    1. Gloy, Brent A. & Akridge, Jay T. & Whipker, Linda D., 2000. "Sources Of Information For Commercial Farms: Usefulness Of Media And Personal Sources," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 3(2), pages 1-16.
    2. Lorenzo Cappellari & Stephen P. Jenkins, 2006. "Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation," Stata Journal, StataCorp LLC, vol. 6(2), pages 156-189, June.
    3. Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February.
    4. 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.
    5. Rahelizatovo, Noro C. & Gillespie, Jeffrey M., 2004. "The Adoption of Best-Management Practices by Louisiana Dairy Producers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(01), pages 1-12, April.
    6. Mooney, Daniel F. & Roberts, Roland K. & English, Burton C. & Lambert, Dayton M. & Larson, James A. & Velandia, Margarita M. & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Mishra, Ashok, 2010. "Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey," Research Reports 91333, University of Tennessee, Department of Agricultural and Resource Economics.
    7. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LLC, vol. 3(3), pages 278-294, September.
    8. John Holt, 1989. "Managing Change in Extension," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(4), pages 869-873.
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    Cited by:

    1. Waters, James, 2013. "The influence of information sources on inter- and intra-firm diffusion: evidence from UK farming," MPRA Paper 50955, University Library of Munich, Germany.

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