IDEAS home Printed from https://ideas.repec.org/p/ags/aare05/137740.html
   My bibliography  Save this paper

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

Author

Listed:
  • Adamson, David
  • Quiggin, John C.
  • Mallawaarachchi, Thilak

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?

Suggested Citation

  • Adamson, David & Quiggin, John C. & Mallawaarachchi, Thilak, 2005. "Modelling basin level allocation of water in the Murray Darling Basin in a world of Uncertainty," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137740, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare05:137740
    DOI: 10.22004/ag.econ.137740
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/137740/files/2005_adamson.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.137740?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Robert G. Chambers & John Quiggin, 2004. "Technological and financial approaches to risk management in agriculture: an integrated approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 199-223, June.
    2. 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.
    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. 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. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521622448, October.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John C., 2007. "Climate change and climate uncertainty in the Murray-Darling Basin," 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand 10361, Australian Agricultural and Resource Economics Society.
    2. 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.
    3. David Adamson & Thilak Mallawaarachchi & John Quiggin, 2009. "Declining inflows and more frequent droughts in the Murray-Darling Basin: climate change, impacts and adaptation ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 345-366, July.
    4. John Quiggin, 2008. "Managing The Murray-Darling Basin: Some Implications For Climate Change Policy," Economic Papers, The Economic Society of Australia, vol. 27(2), pages 160-166, June.
    5. 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.
    6. Graeme J. Doole & David J. Pannell, 2012. "Empirical evaluation of nonpoint pollution policies under agent heterogeneity: regulating intensive dairy production in the Waikato region of New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(1), pages 82-101, January.
    7. Venn, Tyron J. & Quiggin, John, 2007. "Accommodating indigenous cultural heritage values in resource assessment: Cape York Peninsula and the Murray-Darling Basin, Australia," Ecological Economics, Elsevier, vol. 61(2-3), pages 334-344, March.
    8. Venn, Tyron J. & Quiggin, John C., 2006. "Accommodating Indigenous Cultural Heritage Values in Resource Assessment," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 139919, Australian Agricultural and Resource Economics Society.
    9. John Quiggin & David Adamson & Sarah Chambers & Peggy Schrobback, 2010. "Climate Change, Uncertainty, and Adaptation: The Case of Irrigated Agriculture in the Murray–Darling Basin in Australia," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(4), pages 531-554, December.
    10. Jerry Courvisanos, 2009. "Regional Innovation for Sustainable Development: An Australian Perspective," Journal of Innovation Economics, De Boeck Université, vol. 0(1), pages 119-143.
    11. Peggy Schrobback & David Adamson & John Quiggin, 2008. "Options for salinity mitigation in the Murray-Darling Basin," Murray-Darling Program Working Papers WP1M08, Risk and Sustainable Management Group, University of Queensland.
    12. Quiggin, John & Chambers, Robert G., 2005. "The state-contingent approach to production and uncertainty," Risk and Sustainable Management Group Working Papers 151168, University of Queensland, School of Economics.
    13. Quiggin, John & Adamson, David & Chambers, Sarah & Schrobback, Peggy, 2009. "Climate change, mitigation and adaptation: the case of the Murray-Darling Basin in Australia," Risk and Sustainable Management Group Working Papers 149878, University of Queensland, School of Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Quiggin, John C. & Chambers, Robert G., 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 1-17, June.
    3. Sriram Shankar & John Quiggin, 2013. "Production under uncertainty: a simulation study," Journal of Productivity Analysis, Springer, vol. 39(3), pages 207-215, June.
    4. Adam Loch & David Adamson, 2015. "Drought and the rebound effect: a Murray–Darling Basin example," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1429-1449, December.
    5. Quiggin, John & Chambers, Robert G., 2005. "The state-contingent approach to production and uncertainty," Risk and Sustainable Management Group Working Papers 151168, University of Queensland, School of Economics.
    6. Pedro Macedo & Elvira Silva & Manuel Scotto, 2014. "Technical efficiency with state-contingent production frontiers using maximum entropy estimators," Journal of Productivity Analysis, Springer, vol. 41(1), pages 131-140, February.
    7. Jean-Paul Chavas, 2012. "On learning and the economics of firm efficiency: a state-contingent approach," Journal of Productivity Analysis, Springer, vol. 38(1), pages 53-62, August.
    8. John Quiggin & Robert G. Chambers, 2004. "Drought policy: a graphical analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 225-251, June.
    9. O'Donnell, Christopher J. & Shankar, Sriram, 2009. "Estimating State-Allocable Production Technologies When There are Two States of Nature and State Allocations of Inputs are Unobserved," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 50898, Australian Agricultural and Resource Economics Society.
    10. Just, Richard E. & Just, David R., 2011. "Global identification of risk preferences with revealed preference data," Journal of Econometrics, Elsevier, vol. 162(1), pages 6-17, May.
    11. Mallawaarachchi, Thilak & Auricht, Christopher & Loch, Adam & Adamson, David & Quiggin, John, 2020. "Water allocation in Australia’s Murray–Darling Basin: Managing change under heightened uncertainty," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 345-369.
    12. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    13. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    14. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    15. Serra, Teresa & Zilberman, David & Gil, Jose Maria, 2008. "Farms' technical inefficiencies in the presence of government programs," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(1), pages 1-20.
    16. Céline Nauges & Christopher J. O'Donnell & John Quiggin, 2011. "Uncertainty and technical efficiency in Finnish agriculture: a state-contingent approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 38(4), pages 449-467, October.
    17. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.
    18. 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.
    19. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
    20. Robert Chambers & Teresa Serra & Spiro Stefanou, 2015. "Using ex ante output elicitation to model state-contingent technologies," Journal of Productivity Analysis, Springer, vol. 43(1), pages 75-83, February.

    More about this item

    Keywords

    Research and Development/Tech Change/Emerging Technologies; Resource /Energy Economics and Policy;

    JEL classification:

    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aare05:137740. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/aaresea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.