Water use and salinity in the Murray-Darling Basin: A state-contingent model

The supply of water for irrigation is subject to climatic and policy uncertainty. The object of the present paper is to show how the linear and non-linear programming models commonly used in modelling problems such as those arising in the Murray-Darling Basin may be adapted to incorporate a state-co...

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Bibliographic Details
Published inThe Australian journal of agricultural and resource economics Vol. 51; no. 3; pp. 263 - 281
Main Authors Adamson, David, Mallawaarachchi, Thilak, Quiggin, John
Format Journal Article
LanguageEnglish
Published Melbourne, Australia Melbourne, Australia : Blackwell Publishing Asia 01.09.2007
Blackwell Publishing Asia
Blackwell Publishing Ltd
Subjects
Agricultural management
Australia
Australia. National Water Commission Act 2004
basins
Climate
Econometrics
Environmental economics
Irrigation
irrigation water
issues and policy
Linear programming
Murray-Darling Basin
National Water Initiative
Programming
Salinity
SALSA model
Studies
Uncertainty
Water management
Water resources
Water supply
Water utilization
Australia
Australia, Murray-Darling Basin
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ISSN1364-985X
1467-8489
DOI10.1111/j.1467-8489.2007.00380.x

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Summary:The supply of water for irrigation is subject to climatic and policy uncertainty. The object of the present paper is to show how the linear and non-linear programming models commonly used in modelling problems such as those arising in the Murray-Darling Basin may be adapted to incorporate a state-contingent representation of uncertainty. Estimates showing the potential value of improved water use are also derived.
Bibliography:http://dx.doi.org/10.1111/j.1467-8489.2007.00380.x
Australian Journal of Agricultural and Resource Economics, v.51, no.3, Sept 2007: (263)-281
The views expressed here do not represent those of the Australian Government Department of Agriculture Fisheries and Forestry, where Thilak Mallawaarachchi is also affiliated.
d.adamson@uq.edu.au
David Adamson (email
Thilak Mallawaarachchi and John Quiggin, Risk and Sustainable Management Group, School of Economics, University of Queensland, Brisbane 4072. The work of this group is supported by an Australian Research Council Federation Fellowship.
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ISSN:1364-985X
1467-8489
DOI:10.1111/j.1467-8489.2007.00380.x