A binary logit analysis of factors impacting adoption of genetically modified cotton

  • Banerjee S
  • Martin S
  • 28


    Mendeley users who have this article in their library.
  • 3


    Citations of this article.


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 herbicide-resistant (HR) cottonseed was considered GM cottonseed adoption, and another in which adoption of Bt, HR, or stacked-gene (SG) cottonseed was considered GM cottonseed adoption. Results indicate conservation tillage did not positively affect adoption of GM cottonseed with either of these definitions, while adoption of GM cottonseed in the previous year did. Conventional, non-GM cottonseed, used as "refuge," also did not affect these adoption decisions for the study year.

Author-supplied keywords

  • Agricultural Resource Management Survey (ARMS)
  • Binary logit model
  • Conservation tillage
  • Cotton
  • Genetically modified seed
  • Herbicide-resistant cotton
  • Jackknife procedure
  • Refuge cotton
  • Stacked-gene cotton
  • Technology adoption

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

  • SCOPUS: 2-s2.0-75449107208
  • SGR: 75449107208
  • ISBN: 1522-936X
  • ISSN: 1522936X
  • PUI: 358200015


  • Swagata Ban Banerjee

  • Steven W. Martin

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free