Valuing Transgenic Cotton Technologies Using a Risk/Return Framework

Kelly J. Bryant, Jeanne M. Reeves, Robert L. Nichols, Jeremy K. Greene, Christopher H. Tingle, Glenn E. Studebaker, Fred M. Bourland, Charles D. Capps and Frank E. Groves

Journal of Agricultural and Applied Economics, 2008, vol. 40, issue 3, 9

Abstract: Stochastic Efficiency with Respect to a Function (SERF) is used to rank transgenic cotton technology groups and place an upper and lower bound on their value. Yield and production data from replicated plot experiments are used to build cumulative distribution functions of returns for nontransgenic, Roundup Ready, Bollgard, and stacked gene cotton cultivars. Analysis of Arkansas data indicated that the stacked gene and Roundup Ready technologies would be preferred by a large number of risk neutral and risk averse producers as long as the costs of the technology and seed are below the lower bounds calculated in this manuscript.

Keywords: Agribusiness; Crop Production/Industries; Risk and Uncertainty (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:joaaec:47257

DOI: 10.22004/ag.econ.47257

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