LINEAR PROGRAMMING AS A TOOL FOR AGRICULTURAL SECTOR ANALYSIS

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.


Issue Date:
1976-12
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/9167
Published in:
Review of Marketing and Agricultural Economics, Volume 44, Number 04
Page range:
165-178
Total Pages:
14




 Record created 2017-04-01, last modified 2017-04-27

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