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Valuing Transgenic Cotton Technologies Using a Risk/Return Framework

Author

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

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.

Suggested Citation

  • Bryant, Kelly J. & Reeves, Jeanne M. & Nichols, Robert L. & Greene, Jeremy K. & Tingle, Christopher H. & Studebaker, Glenn E. & Bourland, Fred M. & Capps, Charles D. & Groves, Frank E., 2008. "Valuing Transgenic Cotton Technologies Using a Risk/Return Framework," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(3), pages 767-775, December.
    • Handle: RePEc:cup:jagaec:v:40:y:2008:i:03:p:767-775_00
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    Cited by:

    1. Robert Finger & Nadja El Benni & Timo Kaphengst & Clive Evans & Sophie Herbert & Bernard Lehmann & Stephen Morse & Nataliya Stupak, 2011. "A Meta Analysis on Farm-Level Costs and Benefits of GM Crops," Sustainability, MDPI, vol. 3(5), pages 1-20, May.

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