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A Travel-Cost Analysis of the Demand for Hunting Trips in Kansas

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  • Lisa A. Offenbach
  • Barry K. Goodwin

Abstract

The travel-cost method is used to evaluate the demand for hunting trips in Kansas. In contrast to earlier studies, time spent on site for other recreational activities is explicitly included in the empirical analysis. The demand for hunting trips falls as cost rises. The hunter's age, investment in hunting equipment, and site quality characteristics significantly influence demand. Conversely, time-on-site for non-hunting activities and length of stay do not significantly influence the demand for hunting trips. These results lend support to other analyses which have implicitly assumed that length of stay and time spent in secondary recreational activities are not relevant to recreational demand estimation. The estimates suggest that Kansas hunters realize benefits of about $170 per hunting trip.

Suggested Citation

  • Lisa A. Offenbach & Barry K. Goodwin, 1994. "A Travel-Cost Analysis of the Demand for Hunting Trips in Kansas," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 16(1), pages 55-61.
  • Handle: RePEc:oup:revage:v:16:y:1994:i:1:p:55-61.
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    File URL: http://hdl.handle.net/10.2307/1349520
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    Citations

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    Cited by:

    1. Stephen Hynes & Cathal Buckley & Tom van Rensburg, 2006. "Agricultural versus Recreational Activity on Marginal Farm Land: A Discrete-Choice Model of Recreational Activity on Irish Farm Commonage," Working Papers 0603, Rural Economy and Development Programme,Teagasc.
    2. Häggmark-Svensson, Tobias & Elofsson, Katarina & Engelmann, Marc & Gren, Ing-Marie, 2015. "A review of the literature on benefits, costs, and policies for wildlife management," Working Paper Series 2015:1, Swedish University of Agricultural Sciences, Department Economics.
    3. Stephen Hynes & Brian Cahill & Emma J. Dillon, 2007. "A Negative Binomial Discrete Choice Model of Forestry Recreation in Ireland," Working Papers 0709, Rural Economy and Development Programme,Teagasc.
    4. Pang, Arwin, 2017. "Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting," Journal of Forest Economics, Elsevier, vol. 28(C), pages 12-17.
    5. John A. Curtis, 2002. "Estimating the Demand for Salmon Angling in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 33(3), pages 319-332.
    6. Whitten, Stuart M. & Bennett, Jeffrey W., 2001. "A Travel Cost Study of Duck Hunting in the Upper South East of South Australia," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 126064, Australian Agricultural and Resource Economics Society.
    7. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.
    8. Coupal, Roger H. & Bastian, Christopher T. & May, Juliet A. & Taylor, David T., 1999. "The Economic Benefits Of Snowmobiling In Wyoming: A Travel Cost Approach With Market Segmentation," 1999 Annual Meeting, July 11-14, 1999, Fargo, ND 35681, Western Agricultural Economics Association.
    9. Stephen Hynes & Cathal Buckley & Tom van Rensburg, 2007. "Recreational Pursuits on Marginal Farm Land: A Discrete-Choice Model of Irish Farm Commonage Recreation," The Economic and Social Review, Economic and Social Studies, vol. 38(1), pages 63-84.
    10. Jagoda Adamus, 2023. "How Much Are Public Spaces Worth? Non-Market Valuation Methods in Valuing Public Spaces," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 66-89.
    11. Mohammad Nur Nobi, 2021. "Cost-Benefit Analysis of Kaptai Dam in Rangamati District, Chittagong, Bangladesh," Papers 2109.05419, arXiv.org, revised Nov 2022.

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