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

Gali, V. Jyothi and Brown, C. G. (2000) Assisting decision-making in Queensland barley production through chance constrained programming. Australian Journal of Agricultural And Resource Economics, 44 2: 269-287. doi:10.1111/1467-8489.00111


Author Gali, V. Jyothi
Brown, C. G.
Title Assisting decision-making in Queensland barley production through chance constrained programming
Journal name Australian Journal of Agricultural And Resource Economics   Check publisher's open access policy
ISSN 1364-985X
1467-8489
Publication date 2000-01-01
Sub-type Article (original research)
DOI 10.1111/1467-8489.00111
Open Access Status Not Open Access
Volume 44
Issue 2
Start page 269
End page 287
Total pages 19
Editor G. Edwards
Place of publication Oxford
Publisher Blackwell Publisher Ltd
Language eng
Subject 340201 Agricultural Economics
720299 Microeconomic issues not elsewhere classified
C1
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.
Keyword Agricultural Economics & Policy
Economics
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Agriculture and Food Sciences
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 5 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 13 Aug 2007, 22:27:29 EST