128
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

ANALYSING IMPLICATIONS OF LIMITED WATER AVAILABILITY FOR GREAT BARRIER REEF CATCHMENTS

&
Pages 263-277 | Accepted 24 May 2010, Published online: 15 Oct 2010
 

Abstract

Dependence on water is one of the factors that can determine regional vulnerability in Australia. Climate change is predicted to change rainfall patterns in the Great Barrier Reef (GBR) region, and scarce water resources have the potential to make regional Queensland economies increasingly vulnerable. Understanding which economic sectors depend on water as an input factor helps in understanding sectoral and regional vulnerability, and thus in guiding regional policy aimed at structural change. Using a regional Queensland Input–Output (IO) model, this paper integrates water consumption of the GBR region and then compares monetary IO multipliers with water consumption multipliers. We argue that these IO multipliers can inform regional decision makers about potential future regional vulnerability by taking into account limited water resources.

Acknowledgements

The authors are grateful to Aileen Smith and Beau Hug for their dedication in collating the water-related data sets. We wish to thank Manfred Lenzen, Bart Los, Michael Dunlop, Heinz Schandl, and Peter Wiegand for their excellent contributions.

The authors also wish to thank the CSIRO flagship Water for a Healthy Country for funding this research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 773.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.