Assisting Decision-Making in Queensland Barley Production Through Chance Constrained Programming

Posted: 7 Aug 2000

See all articles by V. Jyothi Gali

V. Jyothi Gali

Government of the Commonwealth of Australia - Productivity Commission

Colin G. Brown

University of Queensland - School of Natural and Rural Systems Management

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.

JEL Classification: Q12

Suggested Citation

Gali, V. Jyothi and Brown, Colin G., Assisting Decision-Making in Queensland Barley Production Through Chance Constrained Programming. Available at SSRN: https://ssrn.com/abstract=236021

V. Jyothi Gali (Contact Author)

Government of the Commonwealth of Australia - Productivity Commission ( email )

Level 28
35 Collins St.
Melbourne, Victoria, Victoria 3000
Australia

Colin G. Brown

University of Queensland - School of Natural and Rural Systems Management ( email )

Brisbane St Lucia
Queensland 4072
Australia

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