Urban water management: optimal price and investment policy under climate variability*
Open Access
- 17 March 2009
- journal article
- Published by Wiley in Australian Journal of Agricultural and Resource Economics
- Vol. 53 (2) , 175-192
Abstract
Australian urban water utilities face a significant challenge in designing appropriate demand management and supply augmentation policies in the presence of significant water scarcity and climate variability. This article considers the design of optimal demand management and supply augmentation policies for urban water. In particular, scarcity pricing is considered as a potential alternative to the predominant demand management policy of water restrictions. A stochastic dynamic programming model of an urban water market is developed based on data from the ACT region. Given a specification of the demand and supply for urban water state dependent optimal price and investment policies are estimated. The results illustrate how the optimal urban water price varies inversely with the prevailing storage level and how the optimal timing of investment differs significantly between rain dependent and rain independent augmentation options.Keywords
All Related Versions
This publication has 12 references indexed in Scilit:
- The welfare costs of urban outdoor water restrictionsAustralian Journal of Agricultural and Resource Economics, 2007
- Pricing Sydney water*Australian Journal of Agricultural and Resource Economics, 2007
- Urban water demand with fixed volumetric charging in a large municipality: the case of Brisbane, Australia*Australian Journal of Agricultural and Resource Economics, 2006
- Whose Values Count? Demand Management for Melbourne's Water*Economic Record, 2006
- Water Supply Security and Willingness to Pay to Avoid Drought Restrictions*Economic Record, 2006
- Price and Income Elasticities of Residential Water Demand: A Meta-AnalysisLand Economics, 2003
- Reservoir Targets for Urban Water Supply SystemsJournal of Water Resources Planning and Management, 1996
- A combined stochastic dynamic programming-statistical disaggregation approach applied to multiple reservoir systemsWater Resources Management, 1988
- Multistage Marginal Cost Model of Investment‐Pricing Decisions: Application to Urban Water Supply Treatment FacilitiesWater Resources Research, 1971
- General Multistage Marginal Cost Dynamic Programing Model for the Optimization of a Class of Investment‐Pricing DecisionsWater Resources Research, 1971