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Integrating biophysical and economic systems in a Bayesian Network Hydro-economic framework

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  • Kragt, Marit Ellen

Abstract

Management of water resources needs to jointly consider the multiple, interdependent, uses of water. Decision support tools that aim to assist efficient integrated water resources management should integrate the environmental and socio-economic systems affected by changes in resource allocation. There exist, however, few models that assess the trade-offs between environmental and economic impacts of water management changes in an integrated framework. This paper presents a hydro-economic model that integrates hydrological and ecological systems with economic costs and nonmarket benefits in a Bayesian Network modelling framework. A suite of different modelling tools were used to assess the biophysical and economic impacts of catchment management scenarios, for a case study in Tasmania, Australia. The Bayesian Network provides a flexible modelling approach to incorporate different types of data and had the advantage of explicitly accounting for accumulated uncertainty in information.

Suggested Citation

  • Kragt, Marit Ellen, 2013. "Integrating biophysical and economic systems in a Bayesian Network Hydro-economic framework," Working Papers 153334, University of Western Australia, School of Agricultural and Resource Economics.
  • Handle: RePEc:ags:uwauwp:153334
    DOI: 10.22004/ag.econ.153334
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    File URL: http://ageconsearch.umn.edu/record/153334/files/SARE_WP130009_Hydro-economic%20BN%20modelling_revised%20page%201.pdf
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    References listed on IDEAS

    as
    1. George, Biju & Malano, Hector & Davidson, Brian & Hellegers, Petra & Bharati, Luna & Massuel, Sylvain, 2011. "An integrated hydro-economic modelling framework to evaluate water allocation strategies II: Scenario assessment," Agricultural Water Management, Elsevier, vol. 98(5), pages 747-758, March.
    2. Barton, D.N. & Saloranta, T. & Moe, S.J. & Eggestad, H.O. & Kuikka, S., 2008. "Bayesian belief networks as a meta-modelling tool in integrated river basin management -- Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin," Ecological Economics, Elsevier, vol. 66(1), pages 91-104, May.
    3. Marit E. Kragt & J.W. Bennett, 2011. "Using choice experiments to value catchment and estuary health in Tasmania with individual preference heterogeneity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 159-179, April.
    4. Bateman, Ian J. & Day, Brett H. & Jones, Andrew P. & Jude, Simon, 2009. "Reducing gain-loss asymmetry: A virtual reality choice experiment valuing land use change," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 106-118, July.
    5. Marit Kragt, 2013. "The Effects of Changing Cost Vectors on Choices and Scale Heterogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(2), pages 201-221, February.
    6. I. Heinz & M. Pulido-Velazquez & J. Lund & J. Andreu, 2007. "Hydro-economic Modeling in River Basin Management: Implications and Applications for the European Water Framework Directive," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(7), pages 1103-1125, July.
    7. Marit Kragt, 2010. "An Integrated Assessment approach to linking biophysical modelling and economic valuation tools," Environmental Economics Research Hub Research Reports 1053, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
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    Keywords

    Environmental Economics and Policy; Land Economics/Use;

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