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Responsiveness of demand for irrigation water: A focus on the southern Murray-Darling Basin

Staff working paper

This paper by David Appels, Robert Douglas and Gavin Dwyer, was released on 31 August 2004. This research is part of a suite of research related to water reform, including the effects of expanding water trade and the management of environmental externalities associated with the supply and use of irrigation water.

A foundation for this research is a detailed understanding of irrigated agriculture in the southern Murray-Darling Basin, including: the existing patterns of water use; the emerging trade in water property rights and the likely behavioural responses of individual irrigators to changing water prices. This paper explores the determinants of the elasticity of demand for irrigation water. It focuses on three main irrigated industries — rice, dairy and horticulture — to gain a greater understanding of the value that farmers place on water as an input. The paper provides detail relating to farm decision behaviour and biophysical production realities faced by irrigators in the southern Murray-Darling Basin.

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  • Contents

Cover, Copyright, Contents, Preface, Acknowledgments, Abbreviations and explanations, Key points

1   Introduction
1.1   Background and scope
1.2   Determinants of water demand
1.3   Measuring the responsiveness of water demand
1.4   Outline of the paper

2   Understanding irrigator demand and water prices
2.1   Physical factors influencing use of irrigation water
2.2   Water trade
2.3   Seasonal conditions and trade
2.4   Irrigation water charges and prices
2.5 Summary

3   A conceptual framework
3.1   Factors affecting demand responsiveness
3.2   Estimation studies and market data
3.3   Summary

4   Short run responses
4.1   Influences on irrigator responses
4.2   Short run responses in selected industries
4.3   Summary

5   Long run responses - sources and use of water
5.1   Broad technological responses
5.2   Long run responses in selected industries
5.3   Summing up

6   Other long run responses
6.1   Long run decision making
6.2   Changing outputs
6.3   Summary

A   Previous Australian estimation studies