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Modelling basin level allocation of water in the Murray Darling Basin in a world of uncertainty

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  • Adamson, David
  • Mallawaarachchi, Thilak
  • Quiggin, John

Abstract

The Murray-Darling Basin comprises over 1 million km2; it lies within four states and one territory; and over 12, 800 GL of irrigation water is used to produce over 40% of the nation's gross value of agricultural production. This production is used by a diverse collection of some-times mutually exclusive commodities (e.g. pasture; stone fruit; grapes; cotton and field crops). The supply of water for irrigation is subject to climatic and policy uncertainty. Variable inflows mean that water property rights do not provide a guaranteed supply. With increasing public scrutiny and environmental issues facing irrigators, greater pressure is being placed on this finite resource. The uncertainty of the water supply, water quality (salinity), combined with where water is utilised, while attempting to maximising return for investment makes for an interesting research field. The utilisation and comparison of a GAMS and Excel based modelling approach has been used to ask: where should we allocate water?; amongst what commodities?; and how does this affect both the quantity of water and the quality of water along the Murray-Darling river system?

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Bibliographic Info

Paper provided by University of Queensland, School of Economics in its series Risk and Sustainable Management Group Working Papers with number 149844.

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Date of creation: 2004
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Handle: RePEc:ags:uqsers:149844

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Related research

Keywords: Water; Uncertainty; Salinity; GAMS v EXCEL & Optimisation; Environmental Economics and Policy; Risk and Uncertainty; Q25;

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  1. Svend Rasmussen, 2003. "Criteria for optimal production under uncertainty. The state-contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 447-476, December.
  2. Chambers, Robert G. & Quiggin, John C., 2004. "Technological and financial approaches to risk management in agriculture: an integrate approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), June.
  3. C.J. O'Donnell & W.E. Griffiths, 2004. "Estimating State-Contingent Production Frontiers," Department of Economics - Working Papers Series 911, The University of Melbourne.
  4. Hall, Nigel H. & Mallawaarachchi, Thilak & Batterham, Robert L., 1991. "The Market for Irrigation Water: A Modelling Approach," 1991 Conference (35th), February 11-14, 1991, Armidale, Australia 145889, Australian Agricultural and Resource Economics Society.
  5. Quiggin, John & Chambers, Robert G, 2003. "Drought Policy: A State-contingent View," Risk and Sustainable Management Group Working Papers 149836, University of Queensland, School of Economics.
  6. Quiggin, John C., 1991. "Salinity Mitigation in the Murray River System," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 59(01), April.
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