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A Binary Logit Analysis of Factors Impacting Adoption of Genetically Modified Cotton

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  • Banerjee, Swagata (Ban)
  • Martin, Steven W.

Abstract

Agricultural Resource Management Survey (ARMS) data for 2003 were used to estimate two binary logit models for two definitions of genetically modified (GM) cottonseed adoption. Results indicate conservation tillage did not positively affect adoption of GM cotton with either of these definitions, while adoption of GM cotton in the previous year did. Refuge cotton also did not affect these adoption decisions for the study year.

Suggested Citation

  • Banerjee, Swagata (Ban) & Martin, Steven W., 2008. "A Binary Logit Analysis of Factors Impacting Adoption of Genetically Modified Cotton," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 37140, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeaed:37140
    DOI: 10.22004/ag.econ.37140
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    References listed on IDEAS

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    1. Roberts, Roland K. & English, Burton C. & Gao, Qi & Larson, James A., 2006. "Simultaneous Adoption of Herbicide-Resistant and Conservation-Tillage Cotton Technologies," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(3), pages 629-643, December.
    2. Fernandez-Cornejo, Jorge & McBride, William D., 2002. "Adoption Of Bioengineered Crops," Agricultural Economic Reports 33957, United States Department of Agriculture, Economic Research Service.
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