Towards more inclusive long-term bulk water resource management
- 1 September 2007
- journal article
- Published by Taylor & Francis in Agrekon
- Vol. 46 (3) , 371-397
- https://doi.org/10.1080/03031853.2007.9523777
Abstract
Fresh water resources provide a platform for complex and often emotional issues to develop, particularly in resource scarcity situations. Bulk water infrastructure contains elements of a public good and proved vulnerable to failures in market and government driven allocation strategies. Common to both are uncaptured costs and benefits due to shortcomings in cost quantification techniques. Natural ecosystems stands to lose the most since ecosystem services are often not quantifiable in monetary terms and therefore neglected in allocation decision-making. This paper took on the challenge of expanding current decision-support in order to promote more inclusive long-term water management. A case-study approach with the focus on a choice related problem regarding different long-term bulk water resource management options was applied in the Western Cape province. The paper incorporated components of economic valuation theory, a public survey and a modified Delphi expert panel technique. Both spatial and temporal dimensions of the decision-making context were expanded. Two surveys were completed to accommodate these expansions. The first focused on public preference in water allocation management and the relative merit of accommodating public preference in highly specialised decision-making such as long-term water allocation decision-making. The second survey utilized a modified Delphi technique in which an expert panel indicated the relative merit of two alternative long-term allocation strategies. A willingness to pay for “greener” water was observed and may be used to motivate a paradigm shift from management's perspective to consider, without fear of harming their own political position, “greener” water supply options more seriously even if these options imply higher direct costs to public.Keywords
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