LINEAR PROGRAMMING AS A TOOL FOR AGRICULTURAL SECTOR ANALYSIS

Neal Walker and Richard Monypenny

Review of Marketing and Agricultural Economics, 1976, vol. 44, issue 04, 14

Abstract: As sector programming models have increased in number, they have also increased, individually, in size and complexity. This increased sophistication has presented to researchers well-defined and difficult choices, the resolution of which usually involves compromise of either model generality or theoretical rigor. This paper discusses problems typical of those encountered in construction of large-scale programming models, and presents an overview of the goals of such models and the uses to which they have been applied.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Date: 1976
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Persistent link: https://EconPapers.repec.org/RePEc:ags:remaae:9167

DOI: 10.22004/ag.econ.9167

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