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    • University of Missouri-Columbia
    • College of Agriculture, Food and Natural Resources (MU)
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    • Economics and Management of Agrobiotechnology Center (MU)
    • AgBioForum (Journal)
    • AgBioForum, vol. 12, no. 2 (2009)
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    •   MOspace Home
    • University of Missouri-Columbia
    • College of Agriculture, Food and Natural Resources (MU)
    • Division of Applied Social Sciences (MU)
    • Department of Agricultural Economics (MU)
    • Economics and Management of Agrobiotechnology Center (MU)
    • AgBioForum (Journal)
    • AgBioForum, vol. 12, no. 2 (2009)
    • View Item
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    A Binary Logit Analysis of Factors Impacting Adoption of Genetically Modified Cotton

    Banerjee, Swagata, 1964-
    Martin, Steven W., (Steven Wayne)
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    [PDF] BinaryLogitAnalysisFactorsCotton.pdf (205.8Kb)
    Date
    2009
    Format
    Article
    Metadata
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    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: one in which adoption of either Bacillus thuringiensis (Bt) or herbicideresistant (HR) cottonseed was considered GM cottonseed adoption, and another in which adoption of Bt, HR, or stackedgene (SG) cottonseed was considered GM cottonseed adoption.
    URI
    http://hdl.handle.net/10355/3854
    Citation
    AgBioForum, 12(2) 2009: 218-225.
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
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    • AgBioForum, vol. 12, no. 2 (2009)

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