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Developing a Questionnaire for Valuing Changes in Natural Resource Management in the George Catchment, Tasmania

  • Marit E. Kragt

    ()

    (Crawford School of Public Policy, The Australian National University, Australia)

  • Jeff Bennett

    ()

    (Crawford School of Public Policy, The Australian National University, Australia)

In this study a combination of literature review, expert interviews, biophysical modelling and focus group discussions were used to design a Choice Modelling (CM) questionnaire. This questionnaire was used to value changes in natural resource management in the George catchment, Tasmania. This report describes the questionnaire development, the selection of George catchment attributes and the assessment of attribute levels. The (experimental) design and delivery of the questionnaire are also presented.

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File URL: https://crawford.anu.edu.au/research_units/eerh/pdf/EERH_RR8.pdf
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Paper provided by Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University in its series Environmental Economics Research Hub Research Reports with number 0808.

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Date of creation: Nov 2008
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Handle: RePEc:een:eenhrr:0808
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  2. Carlsson, Fredrik & Frykblom, Peter & Liljenstolpe, Carolina, 2003. "Valuing wetland attributes: an application of choice experiments," Ecological Economics, Elsevier, vol. 47(1), pages 95-103, November.
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  4. Kevin J. Egan & Joseph A. Herriges & Catherine L. Kling & John A. Downing, 2004. "Recreation Demand Using Physical Measures of Water Quality," Center for Agricultural and Rural Development (CARD) Publications 04-wp372, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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  6. Sergio Colombo & Javier Calatrava-Requena & Nick Hanley, 2007. "Testing Choice Experiment for Benefit Transfer with Preference Heterogeneity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 135-151.
  7. Blamey, Russell K. & Gordon, Jenny & Chapman, Ross, 1999. "Choice modelling: assessing the environmental values of water supply options," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(3), September.
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  9. Riccardo Scarpa & John M. Rose, 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 253-282, 09.
  10. Jayson L. Lusk & F. Bailey Norwood, 2005. "Effect of Experimental Design on Choice-Based Conjoint Valuation Estimates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 771-785.
  11. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
  12. Mark Morrison & Jeff Bennett, 2004. "Valuing New South Wales rivers for use in benefit transfer," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(4), pages 591-611, December.
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  14. Fredrik Carlsson & Peter Martinsson, 2003. "Design techniques for stated preference methods in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 12(4), pages 281-294.
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  16. Holmes, Thomas P. & Bergstrom, John C. & Huszar, Eric & Kask, Susan B. & Orr, Fritz III, 2004. "Contingent valuation, net marginal benefits, and the scale of riparian ecosystem restoration," Ecological Economics, Elsevier, vol. 49(1), pages 19-30, May.
  17. Rolfe, John & Windle, Jill, 2005. "Valuing options for reserve water in the Fitzroy Basin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(1), March.
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  19. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
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