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

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

Abstract

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.

Suggested Citation

  • Adamson, David & Mallawaarachchi, Thilak & Quiggin, John, 2006. "Water use and salinity in the Murray-Darling Basin: a state contingent model," Risk and Sustainable Management Group Working Papers 149861, University of Queensland, School of Economics.
    • Handle: RePEc:ags:uqsers:149861
    DOI: 10.22004/ag.econ.149861
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    as
    1. John Quiggin & Robert G. Chambers, 2006. "The state-contingent approach to production under uncertainty ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(2), pages 153-169, June.
    2. Christopher O’Donnell & Robert Chambers & John Quiggin, 2010. "Efficiency analysis in the presence of uncertainty," Journal of Productivity Analysis, Springer, vol. 33(1), pages 1-17, February.
    3. C. J. O'Donnell & W. E. Griffiths, 2006. "Estimating State-Contingent Production Frontiers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 249-266.
    4. David Adamson & Thilak Mallawaarachchi & John Quiggin, 2006. "State-contingent modelling of the Murray Darling Basin: implications for the design of property rights," Murray-Darling Program Working Papers WP2M06, Risk and Sustainable Management Group, University of Queensland.
    5. 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.
    6. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John C., 2007. "Water use and salinity in the Murray–Darling Basin: A state-contingent model," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(3), pages 1-19.
    7. John Freebairn & John Quiggin, 2006. "Water rights for variable supplies ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(3), pages 295-312, September.
    8. Quiggin, John C. & Chambers, Robert G., 2004. "Drought policy: a graphical analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 1-27.
    9. Rasmussen, Svend, 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 1-30.
    10. Pannell, David J. & Nordblom, Thomas L., 1998. "Impacts of risk aversion on whole-farm management in Syria," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-21.
    11. John Quiggin, 1988. "Murray River Salinity—An Illustrative Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 635-645.
    12. 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), pages 1-13, April.
    13. J. Brian Hardaker & Louise H. Patten & David J. Pannell, 1988. "Utility‐Efficient Programming For Whole‐Farm Planning," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 32(2-3), pages 88-97, 08-12.
    14. Kingwell, Ross S. & Pannell, David J. & Robinson, Stephen D., 1993. "Tactical responses to seasonal conditions in whole-farm planning in Western Australia," Agricultural Economics, Blackwell, vol. 8(3), pages 211-226, March.
    15. Chambers, Christopher P. & Miller, Alan D., "undated". "Inefficiency," Working Papers WP2011/14, University of Haifa, Department of Economics, revised 30 Nov 2011.
    16. Brown, Colin G. & Drynan, Ross G., 1986. "Plant Location Analysis Using Discrete Stochastic Programming," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 30(1), pages 1-22, April.
    17. 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), pages 1-25.
    18. Peterson, Deborah C. & Dwyer, Gavan & Appels, David & Fry, Jane, 2004. "Modelling Water Trade in the Southern Murray-Darling Basin," Staff Working Papers 31925, Productivity Commission.
    19. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235.
    20. Kingwell, R. S., 1994. "Risk attitude and dryland farm management," Agricultural Systems, Elsevier, vol. 45(2), pages 191-202.
    21. K. D. Cocks, 1968. "Discrete Stochastic Programming," Management Science, INFORMS, vol. 15(1), pages 72-79, September.
    22. Chambers, Robert G. & Quiggin, John, 2005. "Cost minimization and asset pricing," Risk and Sustainable Management Group Working Papers 151170, University of Queensland, School of Economics.
    23. Colin G. Brown & Ross G. Drynan, 1986. "Plant Location Analysis Using Discrete Stochastic Programming1," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 30(1), pages 1-22, April.
    24. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521622448.
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    More about this item

    Keywords

    Environmental Economics and Policy;

    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

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