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| Monypenny, J. Richard; Walker, Neal. |
| An Aggregative Programming Model of Australian Agriculture (APMAA) is being developed by a research team at the University of New England. This paper presents a minimum-level version of APMAA, known as APMAA'74 which was developed as a framework for further model development. In addition to insights gained with APMAA'74, the paper presents an example of its application to the State of New South Wales. In this application, a comparison is made of farm plans and their aggregative effects generated under the contrasting assumptions of producers holding expectations of there being a slump or there not being a slump in the price of wool. |
| Tipo: Journal Article |
Palavras-chave: Farm Management. |
| Ano: 1976 |
URL: http://purl.umn.edu/9222 |
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| Walker, Neal; Monypenny, Richard. |
| 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. |
| Tipo: Journal Article |
Palavras-chave: Research Methods/ Statistical Methods. |
| Ano: 1976 |
URL: http://purl.umn.edu/9167 |
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