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Provedor de dados:  AgEcon
País:  United States
Título:  A Binary Logit Analysis of Factors Impacting Adoption of Genetically Modified Cotton
Autores:  Banerjee, Swagata (Ban)
Martin, Steven W.
Data:  2008-06-12
Ano:  2008
Palavras-chave:  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
Resumo:  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.
Tipo:  Conference Paper or Presentation
Idioma:  Inglês
Identificador:  http://purl.umn.edu/37140
Relação:  Southern Agricultural Economics Association>2008 Annual Meeting, February 2-6, 2008, Dallas, Texas
Poster Paper
Formato:  9
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