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

Banerjee, Swagata (Ban) 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: Crop; Production/Industries (search for similar items in EconPapers)
Pages: 9
Date: 2008
New Economics Papers: this item is included in nep-agr
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Persistent link: https://EconPapers.repec.org/RePEc:ags:saeaed:37140

DOI: 10.22004/ag.econ.37140

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