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Valuing Trout Angling Benefits of Water Quality Improvements while Accounting for Unobserved Lake Characteristics: An Application to the Rotorua Lakes

  • Mkwara, Lena Asimenye
  • Marsh, Dan

Trout angling is one of the most popular water-based recreational activities in the Rotorua Lakes. Despite the high demand for trout angling and other recreational purposes, water quality in some of these lakes has been declining over the past decades and initiatives to try to restore the lakes are underway. To compliment these efforts, this study uses the travel cost random utility models to explore how changes in water quality would impact upon angler’s choice of fishing destinations. The welfare impacts due to water quality changes and possible lake closures are also explored. These findings highlight the importance of discrete choice random utility models as a policy decision making tool for recreational-based natural resource managers in New Zealand. Additionally, this study represents one of the unique cases in travel cost random utility applications that accounts fully for unobserved site effects.

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File URL: http://purl.umn.edu/115514
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Paper provided by New Zealand Agricultural and Resource Economics Society in its series 2011 Conference, August 25-26, 2011, Nelson, New Zealand with number 115514.

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Date of creation: 2011
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Handle: RePEc:ags:nzar11:115514
Contact details of provider: Web page: http://www.nzares.org.nz/

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  1. Lin, Pei-Chien & Adams, Richard M. & Berrens, Robert P., 1996. "Welfare Effects Of Fishery Policies: Native American Treaty Rights And Recreational Salmon Fishing," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(02), December.
  2. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
  3. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761 Elsevier.
  4. Egan, Kevin J. & Herriges, Joseph A. & Kling, Catherine L. & Downing, John A., 2004. "Valuing Water Quality As a Functionof Water Quality Measures," Staff General Research Papers 12210, Iowa State University, Department of Economics.
  5. Paul M. Jakus & Dimitrios Dadakas & J. Mark Fly, 1998. "Fish Consumption Advisories: Incorporating Angler-Specific Knowledge, Habits, and Catch Rates in a Site Choice Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1019-1024.
  6. Hanemann, W. Michael, 1982. "Applied Welfare Analysis with Qualitative Response Models," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7982f0k8, Department of Agricultural & Resource Economics, UC Berkeley.
  7. Kaoru, Yoshiaki, 1995. "Measuring marine recreation benefits of water quality improvements by the nested random utility model," Resource and Energy Economics, Elsevier, vol. 17(2), pages 119-136, August.
  8. Murdock, Jennifer, 2006. "Handling unobserved site characteristics in random utility models of recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 1-25, January.
  9. George R. Parsons & Mary Jo Kealy, 1992. "Randomly Drawn Opportunity Sets in a Random Utility Model of Lake Recreation," Land Economics, University of Wisconsin Press, vol. 68(1), pages 93-106.
  10. Needelman, Michael S. & Kealy, Mary Jo, 1995. "Recreational Swimming Benefits Of New Hampshire Lake Water Quality Policies: An Application Of A Repeated Discrete Choice Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(1), April.
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