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dc.contributor.authorSahi, Ram Kumaren_US
dc.date.accessioned2012-05-14T18:05:33Z
dc.date.available2012-05-14T18:05:33Z
dc.date.issued1972en_US
dc.identifierocm72801917en_US
dc.identifier.urihttp://hdl.handle.net/1993/5850
dc.description.abstractTo operate agricultural supply management programs efficiently in Canada, production response information is needed. This information will assist farmers in adjusting their crop acreages each year in order to bring supply of individual crops in line with demands. The general objective of the study was to explain historical prairie land utilization patterns as well as to predict future crop acreages for alternative levels of policy variables. To deal with these objectives, a recursive programming model was developed. Six grain crops and summerfallow were included in the model. The crops were wheat, oats, barley, rye, flaxseed and rapeseed. Several programming restraints were used in the study. The major restrictions were flexibility restraints which are the upper and lower bounds on allowable year-to-year changes in the acreages of each crop in the model. These restraints add predictive and recursive quality to the ordinary programming model...en_US
dc.format.extentxiv, 238 p.en_US
dc.language.isoengen_US
dc.rightsen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleRecursive programming analysis of prairie land utilization patternsen_US
dc.typeinfo:eu-repo/semantics/doctoralThesis
dc.typedoctoral thesisen_US
dc.degree.disciplineAgricultural Economics and Farm Managementen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
local.subject.manitobayesen_US


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