Modelling socially optimal land allocations for sugar cane growing in North Queensland: a linked mathematical programming and choice modelling study

Mallawaarachchi, T and Quiggin, J (2001) Modelling socially optimal land allocations for sugar cane growing in North Queensland: a linked mathematical programming and choice modelling study. Australian Journal of Agricultural And Resource Economics, 45 3: 383-409. doi:10.1111/1467-8489.00149


Author Mallawaarachchi, T
Quiggin, J
Title Modelling socially optimal land allocations for sugar cane growing in North Queensland: a linked mathematical programming and choice modelling study
Journal name Australian Journal of Agricultural And Resource Economics   Check publisher's open access policy
ISSN 1364-985X
Publication date 2001-01-01
Sub-type Article (original research)
DOI 10.1111/1467-8489.00149
Open Access Status Not Open Access
Volume 45
Issue 3
Start page 383
End page 409
Total pages 27
Place of publication Oxford
Publisher Blackwell Publ Ltd
Language eng
Abstract A modelling framework is developed to determine the joint economic and environmental net benefits of alternative land allocation strategies. Estimates of community preferences for preservation of natural land, derived from a choice modelling study, are used as input to a model of agricultural production in an optimisation framework. The trade-offs between agricultural production and environmental protection are analysed using the sugar industry of the Herbert River district of north Queensland as an example. Spatially-differentiated resource attributes and the opportunity costs of natural land determine the optimal tradeoffs between production and conservation for a range of sugar prices.
Keyword Agricultural Economics & Policy
Economics
Values
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Economics Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 15 times in Scopus Article | Citations
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Created: Mon, 13 Aug 2007, 22:37:23 EST