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000043204 037__ $$a1379-2016-113558
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000043204 041__ $$aen
000043204 084__ $$aC61
000043204 084__ $$aQ16
000043204 245__ $$aProfit and Variance Analysis of Cotton Production Technologies and Rotation Crops in Georgia
000043204 260__ $$c2003-12
000043204 269__ $$a2003-12
000043204 300__ $$a10
000043204 336__ $$aJournal Article
000043204 520__ $$aGenetically 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 solutions as higher levels of risk aversion were considered.
000043204 542__ $$fLicense granted by Sandy Hamm (shamm@uark.edu) on 2008-09-17T15:54:23Z (GMT):

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000043204 6531_ $$acotton production technologies
000043204 6531_ $$amathematical optimization
000043204 6531_ $$arisk aversion
000043204 6531_ $$awhole farm analysis
000043204 700__ $$aFlanders, Archie
000043204 700__ $$aWhite, Fred C.
000043204 700__ $$aShurley, W. Donald
000043204 700__ $$aBrown, Steve M.
000043204 773__ $$dDecember 2003$$jVolume 35$$kNumber 3$$o694$$q685$$tJournal of Agricultural and Applied Economics
000043204 8564_ $$s4065620$$uhttps://ageconsearch.umn.edu/record/43204/files/Flanders%20JAAE%20December%202003.pdf
000043204 887__ $$ahttp://purl.umn.edu/43204
000043204 909CO $$ooai:ageconsearch.umn.edu:43204$$pGLOBAL_SET
000043204 912__ $$nSubmitted by Sandy Hamm (shamm@uark.edu) on 2008-09-17T16:00:34Z
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  Previous issue date: 2003-12
000043204 982__ $$gJournal of Agricultural and Applied Economics>Volume 35, Number 03, December 2003
000043204 980__ $$a1379