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Contingent Valuation Of Rural Tourism Development With Tests Of Scope And Mode Stability

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  • Lindberg, Kreg
  • Johnson, Rebecca L.
  • Berrens, Robert P.

Abstract

Contingent valuation is used to measure the social impacts of tourism in rural Oregon communities. Impacts are substantial, for example, annual household willingness to pay (WTP) to reduce traffic congestion is $186. Study features include tests of sensitivity to a change in scope, tests of stability across survey mode, and a thorough system of no vote follow-up questions in a referendum format. While there is no evidence of scope effects (at the 0.05 level), results indicate that conclusions regarding sensitivity to scope may be dependent on the test used. WTP estimates are substantially less with the mail versus telephone survey mode.

Suggested Citation

  • Lindberg, Kreg & Johnson, Rebecca L. & Berrens, Robert P., 1997. "Contingent Valuation Of Rural Tourism Development With Tests Of Scope And Mode Stability," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(1), pages 1-17, July.
    • Handle: RePEc:ags:jlaare:31005
    DOI: 10.22004/ag.econ.31005
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    References listed on IDEAS

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    1. Boyle Kevin J. & Desvousges William H. & Johnson F. Reed & Dunford Richard W. & Hudson Sara P., 1994. "An Investigation of Part-Whole Biases in Contingent-Valuation Studies," Journal of Environmental Economics and Management, Elsevier, vol. 27(1), pages 64-83, July.
    2. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    3. Kahneman, Daniel & Knetsch, Jack L., 1992. "Valuing public goods: The purchase of moral satisfaction," Journal of Environmental Economics and Management, Elsevier, vol. 22(1), pages 57-70, January.
    4. W. Michael Hanemann, 1994. "Valuing the Environment through Contingent Valuation," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 19-43, Fall.
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    Cited by:

    1. Davis, Jennifer, 2004. "Assessing Community Preferences for Development Projects: Are Willingness-to-Pay Studies Robust to Mode Effects?," World Development, Elsevier, vol. 32(4), pages 655-672, April.
    2. George Parsons & Kelley Myers, 2017. "Fat tails and truncated bids in contingent valuation: an application to an endangered shorebird species," Chapters, in: Daniel McFadden & Kenneth Train (ed.), Contingent Valuation of Environmental Goods, chapter 2, pages 17-42, Edward Elgar Publishing.
    3. Thomas G. Poder & Jie He, 2016. "Willingness to pay and the sensitivity of willingness to pay for interdisciplinary musculoskeletal clinics: a contingent valuation study in Quebec, Canada," International Journal of Health Economics and Management, Springer, vol. 16(4), pages 337-361, December.
    4. Lindhjem, Henrik & Navrud, Ståle, 2011. "Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes," International Review of Environmental and Resource Economics, now publishers, vol. 5(4), pages 309-351, September.
    5. Lindhjem, Henrik & Navrud, Ståle, 2008. "Internet CV surveys – a cheap, fast way to get large samples of biased values?," MPRA Paper 11471, University Library of Munich, Germany.
    6. Tavárez, Héctor & Elbakidze, Levan, 2021. "Urban forests valuation and environmental disposition: The case of Puerto Rico," Forest Policy and Economics, Elsevier, vol. 131(C).
    7. Christopher G. Leggett & Naomi S. Kleckner & Kevin J. Boyle & John W. Dufield & Robert Cameron Mitchell, 2003. "Social Desirability Bias in Contingent Valuation Surveys Administered Through In-Person Interviews," Land Economics, University of Wisconsin Press, vol. 79(4), pages 561-575.
    8. Nielsen, Jytte Seested, 2011. "Use of the Internet for willingness-to-pay surveys: A comparison of face-to-face and web-based interviews," Resource and Energy Economics, Elsevier, vol. 33(1), pages 119-129, January.

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