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

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.

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Year of publication:	2008
Authors:	Banerjee, Swagata ; Martin, Steven W.
Institutions:	Southern Agricultural Economics Association - SAEA
Subject:	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

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Extent:	application/pdf
Series:	2008 Annual Meeting, February 2-6, 2008, Dallas, Texas.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas Number 37140
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005338905