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

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

Please use this identifier to cite or link to this item: http://hdl.handle.net/10355/3854

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Title: A Binary Logit Analysis of Factors Impacting Adoption of Genetically Modified Cotton
Author: Banerjee, Swagata, 1964-; Martin, Steven W., (Steven Wayne)
Keywords: Agricultural Resource Management Survey (ARMS)
binary logit model
conservation tillage
herbicide-resistant cotton
genetically modified seed
Date: 2009
Publisher: AgBioForum
Citation: AgBioForum, 12(2) 2009: 218-225.
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
ISSN: 1522-936X

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