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On the Road to Better Management: An investigation into the benefits of managing the impacts of dryland salinity on roads

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  • Graham, Tennille

Abstract

In Australia, more than 80 per cent of regional towns and cities have ongoing repair costs due to local infrastructure damage from dryland salinity. In some salt affected catchments up to 30 per cent of regional roads are affected to some degree, with major highway reconstruction costing up to $1million per kilometre. This research investigates a series of different road types in order to quantify the net benefits of alternative abatement strategies and to determine when government intervention is justified to encourage landholders to assist in action to mitigate the impacts of dryland salinity on roads. The paper shows that cooperation with landholders in terms of revegetation strategies is not effective or profitable when dryland salinity is at an advanced stage and already having impacts upon the road. Where suitable revegetation strategies are available, and the risk from dryland salinity is not imminent, then revegetation strategy can be effective and, in some cases, a net benefit to the catchment.

Suggested Citation

  • Graham, Tennille, 2005. "On the Road to Better Management: An investigation into the benefits of managing the impacts of dryland salinity on roads," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137921, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare05:137921
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    File URL: http://purl.umn.edu/137921
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    References listed on IDEAS

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    1. Stefan Hajkowicz (Ed), 2002. "Regional Priority Setting in Queensland: A multi-criteria evaluation framework," Natural Resource Management Economics 02_010, Policy and Economic Research Unit, CSIRO Land and Water, Adelaide, Australia.
    2. Cacho, Oscar J. & Greiner, Romy & Fulloon, Lachlan, 2001. "An economic analysis of farm forestry as a means of controlling dryland salinity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(2), June.
    3. Kleijnen, Jack P.C., 1992. "Sensitivity analysis of simulation experiments: regression analysis and statistical design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 34(3), pages 297-315.
    4. Graham, Tennille & White, Benedict & Pannell, David J., 2003. "Efficiency Policies for Salinity Management: Preliminary Research from a Spatial and Dynamic Metamodel," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57879, Australian Agricultural and Resource Economics Society.
    5. Kleijnen, Jack P. C. & Sargent, Robert G., 2000. "A methodology for fitting and validating metamodels in simulation," European Journal of Operational Research, Elsevier, vol. 120(1), pages 14-29, January.
    6. Aziz Bouzaher & Richard Cabe & Alicia L. Carriquiry & Philip W. Gassman & P. G. Lakshminarayan & Jason F. Shogren, 1992. "Metamodels and Nonpoint Pollution Policy in Agriculture," Center for Agricultural and Rural Development (CARD) Publications 92-wp97, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    7. Pavelic, Paul & Dillon, Peter J. & Narayan, Kumar A. & Herrmann, Tim N. & Barnett, Stephen R., 1997. "Integrated groundwater flow and agronomic modelling for management of dryland salinity of a coastal plain in southern Australia," Agricultural Water Management, Elsevier, vol. 35(1-2), pages 75-93, December.
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