Using choice modelling to establish the supply of riparian services (Establishing the Potential for Offset Trading in the Lower Fitzroy River, Research Report No. 5)

Windle, Jill and Rolfe, John and Whitten, Stuart and Alam, Khorshed (2005) Using choice modelling to establish the supply of riparian services (Establishing the Potential for Offset Trading in the Lower Fitzroy River, Research Report No. 5). Project Report. Central Queensland University, Rockhampton, Australia.

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Abstract

[Abstract]: The potential supply of water quality mitigation actions from diffuse sources is difficult to assess, although important for designing policies to encourage such actions. In this report the design and results of a Choice Modelling (CM) valuation exercise to assess the potential supply of rural mitigation actions from altered grazing management are reported. The exercise was focused on the supply of mitigating services (specified riparian management standards), the total cost of provision, and the extent to which these costs varied between landholders. CM has traditionally been applied to environmental valuation issues, but there is increasing use of the method to design agricultural markets. This study extends that application to markets for environmental actions.


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Item Type: Report (Project Report)
Item Status: Live Archive
Additional Information: Published version deposited with permission from Project Head, A/Prof. J. Rolfe.
Depositing User: Dr Khorshed Alam
Faculty / Department / School: Historic - Faculty of Business - Department of Economics and Resource Management
Date Deposited: 23 Dec 2009 05:46
Last Modified: 02 Jul 2013 23:29
Uncontrolled Keywords: riparian management, choice modelling, grazing management
Fields of Research (FOR2008): 14 Economics > 1402 Applied Economics > 140205 Environment and Resource Economics
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9605 Ecosystem Assessment and Management > 960506 Ecosystem Assessment and Management of Fresh, Ground and Surface Water Environments
Identification Number or DOI: ISSN: 1449-3721
URI: http://eprints.usq.edu.au/id/eprint/6160

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