Profit and Variance Analysis of Cotton Production Technologies and Rotation Crops in Georgia
Archie Flanders,
Fred C. White,
W. Don Shurley and
Steve M. Brown
Journal of Agricultural and Applied Economics, 2003, vol. 35, issue 3, 685-694
Abstract:
Genetically modified cotton varieties have the potential for increasing returns and/or decreasing labor requirements. A nonlinear optimization model is applied to a whole farm analysis for evaluating cotton production technologies. This model maximizes farm utility, composed of expected returns and their variability, at various risk aversion levels in order to evaluate cotton production technologies. Results show that while conventional cotton maximizes utility in a risk-neutral situation, transgenic cotton varieties entered into the optimal solution as higher levels of risk aversion were considered.
Date: 2003
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
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: https://EconPapers.repec.org/RePEc:cup:jagaec:v:35:y:2003:i:03:p:685-694_02
Access Statistics for this article
More articles in Journal of Agricultural and Applied Economics from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().