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

Author

Listed:
  • 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)

Abstract

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.

Suggested Citation

  • David Adamson & Thilak Mallawaarachchi & John Quiggin, 2006. "Water use and salinity in the MurrayÐDarling Basin: a state-contingent model," Murray-Darling Program Working Papers WP5M06, Risk and Sustainable Management Group, University of Queensland.
  • Handle: RePEc:rsm:murray:m06_5
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    File URL: http://www.uq.edu.au/rsmg/WP/WPM06_5.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John C., 2006. "State-contingent modelling of the Murray Darling Basin: implications for the design of property rights," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 137977, Australian Agricultural and Resource Economics Society.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Chambers, Christopher P. & Miller, Alan D., "undated". "Inefficiency," Working Papers WP2011/14, University of Haifa, Department of Economics, revised 30 Nov 2011.
    10. 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.
    11. 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.
    12. 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.
    13. Kingwell, R. S., 1994. "Risk attitude and dryland farm management," Agricultural Systems, Elsevier, vol. 45(2), pages 191-202.
    14. 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.
    15. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235, September.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. K. D. Cocks, 1968. "Discrete Stochastic Programming," Management Science, INFORMS, vol. 15(1), pages 72-79, September.
    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.
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    More about this item

    Keywords

    Murray model state-contingent;

    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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