David Adamson () (Risk and Sustainable Management Group, University of Queensland) Thilak Mallawaarachchi () (Risk and Sustainable Management Group, University of Queensland) John Quiggin () (Risk & Sustainable Management Group, School of Economics, University of Queensland)
Additional information is available for the following
registered author(s):
The MurrayÐDarling Basin comprises over 1 million square kilometres; it lies within four states and one territory; and over 12,800 gigalitres of irrigation water is used to produce over 40 per cent of the nation's gross value of agricultural production. 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 nonlinear programming models commonly used in modelling problems such as those arising in the MurrayÐDarling Basin may be adapted to incorporate a state-contingent representation of uncertainty.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Risk and Sustainable Management Group, University of Queensland in its series Murray-Darling Program Working Papers with number
WP5M06.
Find related papers by JEL classification: D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
This paper has been announced in the following NEP Reports: