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Comparing the Economic Value of Mountain Biking Estimated Using Revealed and Stated Preference

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  • Peter Fix
  • John Loomis

Abstract

This research compares non-market valuation techniques by applying a count data travel cost method (TCM) and dichotomous choice contingent valuation method (CVM) to a form of recreation for which it has not been previously applied: mountain biking. Due to mountain biking's increasing popularity these estimates of benefits may be useful in addressing conflicts. One of the most famous mountain biking sites in the US (Moab, Utah) was chosen as the site for which to apply these two models. The benefits that were estimated for trips taken in the spring of 1996 are US$205 and US$235,for the TCM and CVM, respectively.These values are not statistically different using conventional significant levels.

Suggested Citation

  • Peter Fix & John Loomis, 1998. "Comparing the Economic Value of Mountain Biking Estimated Using Revealed and Stated Preference," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 41(2), pages 227-236.
    • Handle: RePEc:taf:jenpmg:v:41:y:1998:i:2:p:227-236
    DOI: 10.1080/09640569811731
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    Cited by:

    1. Chin-Huang Huang & Chiung-Hsia Wang, 2015. "Estimating the Total Economic Value of Cultivated Flower Land in Taiwan," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    2. Luís Cruz & Paula Simões & Eduardo Barata, 2014. "Combining Observed and Contingent Travel Behaviour: The Best of Both Worlds?," Notas Económicas, Faculty of Economics, University of Coimbra, issue 40, pages 7-25, December.
    3. Dhakal, Bhubaneswor & Yao, Richard T. & Turner, James A. & Barnard, Tim, 2012. "Recreational users' willingness to pay and preferences for changes in planted forest features," Forest Policy and Economics, Elsevier, vol. 17(C), pages 34-44.
    4. Mwebaze, Paul & Bennett, Jeff, 2012. "Valuing Australian botanic collections: a combined travel-cost and contingent valuation study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-23, December.
    5. Loomis, John B. & Gonzalez-Caban, Armando & Englin, Jeffrey E., 2001. "Testing For Differential Effects Of Forest Fires On Hiking And Mountain Biking Demand And Benefits," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-15, December.
    6. Xaysompheng Sengkhamyong & Helmut Yabar & Takeshi Mizunoya, 2022. "Assessing Household Willingness to Pay for the Conservation of the Phou Chom Voy Protected Area in Lao PDR," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    7. Ruiz, Tomás & Bernabé, José C., 2014. "Measuring factors influencing valuation of nonmotorized improvement measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 195-211.
    8. Mikołaj Czajkowski & Wiktor Budziński & Marianne Zandersen & Wojciech Zawadzki & Uzma Aslam & Ioannis Angelidis & Katarzyna Zagórska, 2024. "The Recreational Value of the Baltic Sea Coast: A Spatially Explicit Site Choice Model Accounting for Environmental Conditions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(1), pages 135-166, January.
    9. Ojea, Elena & Loureiro, Maria L., 2011. "Identifying the scope effect on a meta-analysis of biodiversity valuation studies," Resource and Energy Economics, Elsevier, vol. 33(3), pages 706-724, September.
    10. Edwin Muchapondwa & Eyoual Demeke & Samson Mukanjari, 2018. "Recreation Demand and Optimal Pricing for International Visitors to Kruger National Park," Working Papers 743, Economic Research Southern Africa.
    11. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, University Library of Munich, Germany.

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