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Assisting decision‐making in Queensland barley production through chance constrained programming
Author(s) -
Gali V. Jyothi,
Brown Colin G.
Publication year - 2000
Publication title -
australian journal of agricultural and resource economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.683
H-Index - 49
eISSN - 1467-8489
pISSN - 1364-985X
DOI - 10.1111/1467-8489.00111
Subject(s) - production (economics) , product (mathematics) , stochastic programming , computer science , agricultural engineering , agricultural science , mathematics , engineering , economics , mathematical optimization , microeconomics , environmental science , geometry
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.