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Assisting decision-making in Queensland barley production through chance constrained programming

Author

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  • Gali, Jyothi
  • Brown, Colin G.

Abstract

A chance constrained programming model is developed to assist Queensland barley growers make varietal and agronomic decisions in the face of changing product demands and volatile production conditions. Unsuitable or overlooked in many risk programming applications, the chance constrained programming approach nonetheless aptly captures the single‐stage decision problem faced by barley growers of whether to plant lower‐yielding but potentially higher‐priced malting varieties, given a particular expectation of meeting malting grade standards. Different expectations greatly affect the optimal mix of malting and feed barley activities. The analysis highlights the suitability of chance constrained programming to this specific class of farm decision problem.

Suggested Citation

  • Gali, Jyothi & Brown, Colin G., 2000. "Assisting decision-making in Queensland barley production through chance constrained programming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(2), pages 1-19.
    • Handle: RePEc:ags:aareaj:117838
    DOI: 10.22004/ag.econ.117838
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    References listed on IDEAS

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    Cited by:

    1. Loughrey, Jason & Thorne, Fiona & Hennessy, Thia, 2015. "The Direct Impact of Risk Management Tools on Farm Income: The Case of Irelands Spring Barley Producers," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204228, Agricultural Economics Society.

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