| dc.contributor.author |
Rozakis, S |
en |
| dc.date.accessioned |
2014-06-06T06:51:00Z |
|
| dc.date.available |
2014-06-06T06:51:00Z |
|
| dc.date.issued |
2011 |
en |
| dc.identifier.issn |
2040106X |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1504/IJMCDM.2011.041192 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/5268 |
|
| dc.subject |
Interval programming |
en |
| dc.subject |
IP |
en |
| dc.subject |
PMC models |
en |
| dc.subject |
Policy analysis |
en |
| dc.subject |
Positive multicriteria models |
en |
| dc.subject |
Supply curves |
en |
| dc.title |
Positive multicriteria (PMC) models in agriculture for energy and environmental policy analysis |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1504/IJMCDM.2011.041192 |
en |
| heal.publicationDate |
2011 |
en |
| heal.abstract |
Environmental consciousness and accompanying actions have been paralleled by the evolution of multicriteria (MC) methods which have provided tools to assist policy makers in discovering compromises in order to muddle through. This paper recalls the development of MC methods in agriculture, focusing on their contribution to produce input or output functions useful for environmental and/or energy policy. Response curves generated by MC models can more accurately predict farmers' response to market and policy parameters compared with classic profit maximising behaviour. Concrete examples from recent literature illustrate the above statements and ideas for further research are provided. Copyright © 2011 Inderscience Enterprises Ltd. |
en |
| heal.journalName |
International Journal of Multicriteria Decision Making |
en |
| dc.identifier.issue |
3 |
en |
| dc.identifier.volume |
1 |
en |
| dc.identifier.doi |
10.1504/IJMCDM.2011.041192 |
en |
| dc.identifier.spage |
321 |
en |
| dc.identifier.epage |
337 |
en |