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A Choice Modelling Survey of Community Attitudes to Improvements in Environmental Quality in NSW Catchments

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  • Mazur, Kasia
  • Bennett, Jeffrey W.

Abstract

The survey was designed to estimate environmental values suitable for integration into MOSAIC, a bio-economic model for catchment and farm level planning. Local residents, as well as distant rural and distant urban communities, were surveyed in three NSW catchments (Lachlan, Namoi and Hawkesbury-Nepean) using choice modelling (CM). The survey aimed to find out respondents’ attitudes about, and preferences for, potential natural resource management (NRM) improvements. In total, 3,997 responses were collected from seven different locations in NSW. Fourteen split samples were established to allow for testing of incentive compatibility in CM, the impact of respondent location on values held, and scale effects. This research report describes the development of the CM questionnaires, the survey design and the data collection process.

Suggested Citation

  • Mazur, Kasia & Bennett, Jeffrey W., 2009. "A Choice Modelling Survey of Community Attitudes to Improvements in Environmental Quality in NSW Catchments," Research Reports 94813, Australian National University, Environmental Economics Research Hub.
    • Handle: RePEc:ags:eerhrr:94813
    DOI: 10.22004/ag.econ.94813
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    References listed on IDEAS

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    1. Adamowicz, Wiktor & Swait, Joffre & Boxall, Peter & Louviere, Jordan & Williams, Michael, 1997. "Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(1), pages 65-84, January.
    2. Lawson, Kenton & Hill, Christine M. & Hodges, Andrew & Jacobs, Brent, 2007. "Exploring natural resource management tradeoffs in an agricultural landscape - an application of the MOSAIC model," 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand 10374, Australian Agricultural and Resource Economics Society.
    3. Jeff Bennett & Russell Blamey (ed.), 2001. "The Choice Modelling Approach to Environmental Valuation," Books, Edward Elgar Publishing, number 2028.
    4. Hill, Christine M. & Farquharson, Robert J. & Ferrier, Simon & Grieve, Alastair, 2007. "Issues of scale and scope in bio-physical modelling for natural resource management decision making in New South Wales," 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand 10427, Australian Agricultural and Resource Economics Society.
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    Citations

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    Cited by:

    1. Tertius Greyling & Jeff Bennett, 2010. "Revegetation of Regent Honeyeater habitat in the Capertee Valley: a Cost-Benefit Analysis," Environmental Economics Research Hub Research Reports 1081, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    2. Greyling, Tertius & Bennett, Jeffrey W., 2011. "Protecting the Booroolong Frog in the Namoi Catchment: A Cost-Benefit Analysis," Research Reports 107851, Australian National University, Environmental Economics Research Hub.
    3. Tertius Greyling & Jeff Bennett, 2011. "Cost-Benefit Analysis of the Protection of Malleefowl in the Lachlan Catchment," Environmental Economics Research Hub Research Reports 1099, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    4. Gillespie, Robert & Bennett, Jeff, 2017. "Costs and Benefits of Rodent Eradication on Lord Howe Island, Australia," Ecological Economics, Elsevier, vol. 140(C), pages 215-224.
    5. Farquharson, Robert J. & Kelly, Jason A. & Welsh, Pam & Mazur, Kasia & Bennett, Jeffrey W., 2009. "Policy responses to invasive native species: issues of social and private benefits and costs," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48157, Australian Agricultural and Resource Economics Society.
    6. Leroux, Anke D. & Whitten, Stuart M., 2014. "Optimal investment in ecological rehabilitation under climate change," Ecological Economics, Elsevier, vol. 107(C), pages 133-144.

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