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A Gsd Estimation Of The Relative Worth Of Cover Crops In Cotton Production Systems

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  • Giesler, G. Grant
  • Paxton, Kenneth W.
  • Millhollon, E.P.

Abstract

Cover crops can help reduce the negative environmental impacts of cotton production. Using time series yield data, this study utilizes generalized stochastic dominance to evaluate the relative worth, via risk premiums, of three cover crop and two conventional production systems based on expected net returns of each system and decision maker risk attitude. Results indicate, within the limitation of the study, two cover crop regimes possess a high degree of dominance over conventional systems. Determination of the dominant regime depends upon the risk attitude of a specific decision maker. This research suggests cover crop production systems may be feasible alternatives to conventional practices.

Suggested Citation

  • Giesler, G. Grant & Paxton, Kenneth W. & Millhollon, E.P., 1993. "A Gsd Estimation Of The Relative Worth Of Cover Crops In Cotton Production Systems," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-10, July.
    • Handle: RePEc:ags:jlaare:30821
    DOI: 10.22004/ag.econ.30821
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    References listed on IDEAS

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    6. McCarl, Bruce A., 1990. "Generalized Stochastic Dominance: An Empirical Examination," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(1), pages 1-7, December.
    7. Goh, Siew & Shih, Chao-Chyuan & Cochran, Mark J. & Raskin, Rob, 1989. "A Generalized Stochastic Dominance Program for the IBM PC," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 21(2), pages 175-182, December.
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    Cited by:

    1. Jaenicke, Edward C. & Larson, James A., 2001. "Production Risk Revisited In A Stochastic Frontier Framework: Evaluating Noise And Inefficiency In Cover Crop Systems," 2001 Annual meeting, August 5-8, Chicago, IL 20477, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Jaenicke, Edward C. & Frechette, Darren L. & Larson, James A., 2003. "Estimating Production Risk and Inefficiency Simultaneously: An Application to Cotton Cropping Systems," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-18, December.
    3. Boyer, Christopher N. & Jensen, Kimberly L. & McLeod, Elizabeth & Larson, James A., 2016. "Upland Cotton Producers’ Willingness to participate in a BMP/STAX Pilot Program," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 234975, Agricultural and Applied Economics Association.
    4. Dias, Weeratilake & Helmers, Glenn A. & Eghball, Bahman, 1999. "Economic And Environmental Risk Efficiency Analysis Of Land Application Of Cattle Feedlot Manure: Generalized Stochastic Dominance Analysis," 1999 Annual Meeting, July 11-14, 1999, Fargo, ND 35715, Western Agricultural Economics Association.
    5. Adusumilli, Naveen & Wang, Hua & Dodla, Syam & Deliberto, Michael, 2020. "Estimating risk premiums for adopting no-till and cover crops management practices in soybean production system using stochastic efficiency approach," Agricultural Systems, Elsevier, vol. 178(C).

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