Upstream-downstream benefit analysis of policy on water use by upstream tree plantations

This study focuses on the problem of water use by new upstream commercial tree plantations where fully-committed water entitlements are already held and traded among downstream sectors (urban water, wetlands and agricultural industries). High tree product prices strongly incentivise expansion of upstream plantation areas, particularly if there is no accounting for the predictable extra interception and use of water by trees. Planters could benefit greatly at the expense of downstream water users. Plotting this in a public-private benefit framework (PPBF) suggests a policy of “flexible negative incentives” to limit expansion of new trees, rather than ‘across the board’ banning of new plantations. We explore the ‘flexible’ option and the current ‘no control’ option for a case-study area, the Macquarie River catchment in central- west NSW, Australia, using three scenario sets: (1) Policy setting — without or with the requirement for distributions of water use entitlements to be handled by extending the existing downstream market to new upstream plantations (the flexible negative incentive). (2) Expected tree-product values — four exogenous levels ($40, $50, $60 or $70/m3), provide positive incentives for establishing trees. (3) Water quality — FRESH or a hypothetical SALTY scenario where one of six up- stream watersheds seeps so much salt into the river that water for urban use is compromised when new plantations reduce fresh water yields from the other five. We estimate quantitative consequences of all 16 combinations of the above scenarios, and show how an extended water market can deliver “flexible incentives” for efficient water distributions in which all new upstream and old downstream users either benefit by trading or remain unaffected.


Issue Date:
2013-02
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/152173
Total Pages:
21
JEL Codes:
Q0; Q57; Q58




 Record created 2017-04-01, last modified 2017-08-22

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