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

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.


Issue Date:
2000
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/117838
Published in:
Australian Journal of Agricultural and Resource Economics, Volume 44, Issue 2
Page range:
269-287
Total Pages:
19




 Record created 2017-04-01, last modified 2017-08-26

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)