IDEAS home Printed from https://ideas.repec.org/a/eee/resene/v63y2021ics0928765518303130.html
   My bibliography  Save this article

Exploring the shelf-life of travel cost methods of valuing recreation for benefits transfer

Author

Listed:
  • He, Xiaoyang
  • Poe, Gregory L.

Abstract

This study tests the stability of willingness to pay (WTP) for recreational fishing over two decades based on three rounds of a representative angler survey conducted in New York State in 1988, 1996, and 2007. We employ the travel cost method (TCM) by using the repeated conditional logit and mixed logit models to estimate demand for daily fishing trips. Our estimates suggest that anglers’ WTP for fishing in 1988 and 1996 were similar, with values per trip at $35.2 and $36.4, respectively. However, there was a noticeable decrease in WTP, to $30.6, in 2007. This decrease is consistent with two salient features of the 2007 survey: (1) long-distance trips, such as those to the Great Lakes were less frequent, and (2) anglers were, on average, older than in previous surveys.

Suggested Citation

  • He, Xiaoyang & Poe, Gregory L., 2021. "Exploring the shelf-life of travel cost methods of valuing recreation for benefits transfer," Resource and Energy Economics, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:resene:v:63:y:2021:i:c:s0928765518303130
    DOI: 10.1016/j.reseneeco.2019.101123
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0928765518303130
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.reseneeco.2019.101123?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John Rolfe & Prabha Prayaga, 2007. "Estimating values for recreational fishing at freshwater dams in Queensland ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 157-174, June.
    2. Charles Griffiths & Heather Klemick & Matt Massey & Chris Moore & Steve Newbold & David Simpson & Patrick Walsh & William Wheeler, 2012. "U.S. Environmental Protection Agency Valuation of Surface Water Quality Improvements," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 6(1), pages 130-146.
    3. John Whitehead & Richard Aiken, 2007. "Temporal reliability of willingness to pay from the National Survey of Fishing, Hunting and Wildlife-Associated Recreation," Applied Economics, Taylor & Francis Journals, vol. 39(6), pages 777-786.
    4. Joseph A. Herriges & Daniel J. Phaneuf, 2002. "Inducing Patterns of Correlation and Substitution in Repeated Logit Models of Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1076-1090.
    5. Morey, Edward R. & Shaw, W. Douglass & Rowe, Robert D., 1991. "A discrete-choice model of recreational participation, site choice, and activity valuation when complete trip data are not available," Journal of Environmental Economics and Management, Elsevier, vol. 20(2), pages 181-201, March.
    6. Willig, Robert D, 1976. "Consumer's Surplus without Apology," American Economic Review, American Economic Association, vol. 66(4), pages 589-597, September.
    7. Ward, Frank A. & Loomis, John B., 1986. "The Travel Cost Demand Model As An Environmental Policy Assessment Tool: A Review Of Literature," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(2), pages 1-15, December.
    8. Herriges, Joseph A. & Phaneuf, Daniel J., 2002. "Inducing Patterns Correlation and Substitution in Repeated Logit Model of Recreation Demand," Staff General Research Papers Archive 5035, Iowa State University, Department of Economics.
    9. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    10. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    11. Stephen D. Reiling & Kevin J. Boyle & Marcia L. Phillips & Mark W. Anderson, 1990. "Temporal Reliability of Contingent Values," Land Economics, University of Wisconsin Press, vol. 66(2), pages 128-134.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    13. Loomis, John B., 1990. "Comparative reliability of the dichotomous choice and open-ended contingent valuation techniques," Journal of Environmental Economics and Management, Elsevier, vol. 18(1), pages 78-85, January.
    14. Whitehead John C. & Blomquist Glenn C. & Hoban Thomas J. & Clifford William B., 1995. "Assessing the Validity and Reliability of Contingent Values: A Comparison of On-Site Users, Off-Site Users, and Non-users," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 238-251, September.
    15. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    16. Alan Randall, 1994. "Difficulty with the Travel Cost Method," Land Economics, University of Wisconsin Press, vol. 70(1), pages 88-96.
    17. Mattias Boman & Leif Mattsson & Göran Ericsson & Bengt Kriström, 2011. "Moose Hunting Values in Sweden Now and Two Decades Ago: The Swedish Hunters Revisited," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(4), pages 515-530, December.
    18. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    19. Hindsley, Paul & Landry, Craig E. & Gentner, Brad, 2011. "Addressing onsite sampling in recreation site choice models," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 95-110, July.
    20. John A. Downing, 2009. "Valuing Water Quality as a Function of Water Quality Measures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 106-123.
    21. Englin, Jeffrey & Lambert, David & Shaw, W. Douglass, 1997. "A Structural Equations Approach to Modeling Consumptive Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 33(1), pages 33-43, May.
    22. Rolfe, John & Prayaga, Prabha, 2007. "Estimating values for recreational fishing at freshwater dams in Queensland," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 1-18.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Melstrom, Richard & Reeling, Carson, 2023. "Using aggregate trip data to value recreation sites: A comparison with individual-level methods," 2023 Annual Meeting, July 23-25, Washington D.C. 335687, Agricultural and Applied Economics Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Lew, Daniel K. & Wallmo, Kristy, 2017. "Temporal stability of stated preferences for endangered species protection from choice experiments," Ecological Economics, Elsevier, vol. 131(C), pages 87-97.
    3. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    4. Staus, Alexander, 2008. "Standard and Shuffled Halton Sequences in a Mixed Logit Model," Working Papers 93856, Universitaet Hohenheim, Institute of Agricultural Policy and Agricultural Markets.
    5. Bujosa Bestard, Angel & Font, Antoni Riera, 2009. "Environmental diversity in recreational choice modelling," Ecological Economics, Elsevier, vol. 68(11), pages 2743-2750, September.
    6. Yongsik Jeon & Joseph Herriges, 2010. "Convergent Validity of Contingent Behavior Responses in Models of Recreation Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(2), pages 223-250, February.
    7. Marco A. Palma & Dmitry V. Vedenov & David Bessler, 2020. "The order of variables, simulation noise, and accuracy of mixed logit estimates," Empirical Economics, Springer, vol. 58(5), pages 2049-2083, May.
    8. Czajkowski, Mikołaj & Budziński, Wiktor, 2019. "Simulation error in maximum likelihood estimation of discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 73-85.
    9. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.
    10. Smith, Martin D., 2005. "State dependence and heterogeneity in fishing location choice," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 319-340, September.
    11. Babatunde O. Abidoye & Joseph A. Herriges & Justin L. Tobias, 2012. "Controlling for Observed and Unobserved Site Characteristics in RUM Models of Recreation Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1070-1093.
    12. Nakamura, Akihiro, 2015. "Mobile and fixed broadband access services substitution in Japan considering new broadband features," Telecommunications Policy, Elsevier, vol. 39(2), pages 140-154.
    13. Stephane Hess & John W. Polak, 2004. "An analysis of parking behaviour using discrete choice models calibrated on SP datasets," ERSA conference papers ersa04p60, European Regional Science Association.
    14. Jegnie, Alemken & Hailu, Atakelty & Burton, Michael P., 2017. "Boat-based and other recreational fishing in Western Australia: Analysis of site choice, access values and bag limit effects," Working Papers 257167, University of Western Australia, School of Agricultural and Resource Economics.
    15. Grigolon, Anna B. & Borgers, Aloys W.J. & Kemperman, Astrid D.A.M. & Timmermans, Harry J.P., 2014. "Vacation length choice: A dynamic mixed multinomial logit model," Tourism Management, Elsevier, vol. 41(C), pages 158-167.
    16. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Using Discrete Choice Experiments to Derive Individual-Specific WTP Estimates for Landscape Improvements under Agri-Environmental Schemes: Evidence from the Rural Environment Protection Scheme in Irel," Sustainability Indicators and Environmental Valuation Working Papers 12220, Fondazione Eni Enrico Mattei (FEEM).
    17. Zhu, Dianchen & Sze, N.N. & Feng, Zhongxiang & Chan, Ho-Yin, 2023. "Waiting for signalized crossing or walking to footbridge/underpass? Examining the effect of weather using stated choice experiment with panel mixed random regret minimization approach," Transport Policy, Elsevier, vol. 138(C), pages 144-169.
    18. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    19. Abay, Kibrom A. & Berhane, Guush & Taffesse, Alemayehu Seyoum & Koru, Bethlehem & Abay, Kibrewossen, 2016. "Understanding farmers’ technology adoption decisions: Input complementarity and heterogeneity:," ESSP working papers 82, International Food Policy Research Institute (IFPRI).
    20. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Sustainability Indicators and Environmental Valuation Working Papers 12224, Fondazione Eni Enrico Mattei (FEEM).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:resene:v:63:y:2021:i:c:s0928765518303130. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505569 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.