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

Swagata Ban Banerjee and Steven W. Martin

No 37140, 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas from Southern Agricultural Economics Association

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.

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; Crop Production/Industries (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr
Date: 2008
View list of references

Downloads: (external link)
http://purl.umn.edu/37140 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:ags:saeaed:37140

Access Statistics for this paper

More papers in 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas from Southern Agricultural Economics Association
Contact information at EDIRC.
Series data maintained by AgEcon Search ().