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An Analysis of Congestion Measures and Heterogeneous Angler Preferences in a Random Utility Model of Recreational Fishing

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  • Peter Schuhmann
  • Kurt Schwabe

Abstract

The potential importance ofcongestion effects on the management andrationing of recreational facilities andservices in the presence of heterogeneouspreferences were highlighted nearly twenty-fiveyears ago by Freeman and Haveman (1977). Whilethere have been a number of theoretical modelsextending and expanding upon this work(McConnell 1988; Anderson 1993), empiricalresearch evaluating such impacts is limited. Evidence of the potential impacts of congestionon resource usage is of obvious importance,especially for natural resource managers whounderstand that congestion can be an effectiverationing device and because users likelydiffer in both their preferences for use andaversion to congestion. It is the objective ofthis research to compare alternative measuresof congestion for explaining site choice withina random utility modeling framework. Thecongestion measures differ with respect to thetime horizon over which they are assumed to beformulated and the measure of central tendencyused to represent them. Furthermore, weinvestigate how the response to thesecongestion measures may differ across twodistinct angler types and the implications ofthose differences on the per trip willingnessto pay for stock enhancement. Copyright Kluwer Academic Publishers 2004

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  • Peter Schuhmann & Kurt Schwabe, 2004. "An Analysis of Congestion Measures and Heterogeneous Angler Preferences in a Random Utility Model of Recreational Fishing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(4), pages 429-450, April.
    • Handle: RePEc:kap:enreec:v:27:y:2004:i:4:p:429-450
    DOI: 10.1023/B:EARE.0000018517.33432.0b
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    2. Rolfe, John & Prayaga, Prabha, 2006. "Estimating Values for Recreational Fishing at Freshwater Dams in Queensland," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 139896, Australian Agricultural and Resource Economics Society.
    3. Raguragavan, Jananee & Hailu, Atakelty & Burton, Michael, 2013. "Economic Valuation of Recreational Fishing in Western Australia: Statewide Random Utility Modelling of Fishing Site Choice Behaviour," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 1-20.
    4. Farr, Marina & Stoeckl, Natalie, 2018. "Overoptimism and the undervaluation of ecosystem services: A case-study of recreational fishing in Townsville, adjacent to the Great Barrier Reef," Ecosystem Services, Elsevier, vol. 31(PC), pages 433-444.
    5. Kolstoe, Sonja & Cameron, Trudy Ann, 2017. "The Non-market Value of Birding Sites and the Marginal Value of Additional Species: Biodiversity in a Random Utility Model of Site Choice by eBird Members," Ecological Economics, Elsevier, vol. 137(C), pages 1-12.
    6. Carole Ropars-Collet & Philippe Le Goffe & Qods Lefnatsa, 2021. "Does catch-and-release increase the recreational value of rivers? The case of salmon fishing," Post-Print hal-03342732, HAL.
    7. Ropars‑Collet, Carole & Le Goffe, Philippe & Lefnatsa, Qods, 2021. "Does catch‑and‑release increase the recreational value of rivers? The case of salmon fishing," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 102(4), September.
    8. Carole Ropars-Collet & Philippe Goffe & Qods Lefnatsa, 2021. "Does catch-and-release increase the recreational value of rivers? The case of salmon fishing," Review of Agricultural, Food and Environmental Studies, Springer, vol. 102(4), pages 393-424, December.
    9. Robert C. Fonner & Robert P. Berrens, 2014. "A Hedonic Pricing Model of Lift Tickets for US Alpine Ski Areas: Examining the Influence of Crowding," Tourism Economics, , vol. 20(6), pages 1215-1233, December.
    10. Gao, Lei & Hailu, Atakelty, 2013. "Identifying preferred management options: An integrated agent-based recreational fishing simulation model with an AHP-TOPSIS evaluation method," Ecological Modelling, Elsevier, vol. 249(C), pages 75-83.
    11. Gao, Lei & Hailu, Atakelty, 2011. "Evaluating the effects of area closure for recreational fishing in a coral reef ecosystem: The benefits of an integrated economic and biophysical modeling," Ecological Economics, Elsevier, vol. 70(10), pages 1735-1745, August.
    12. Philippe Le Goffe & Julien Salanie, 2004. "Recreational fishing in France : Market or institutional failures ?," Post-Print hal-02338173, HAL.
    13. Chen, Min & Lupi, Frank, 2013. "Modeling Long Overnight Trips by Chaining Recreation Sites," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150489, Agricultural and Applied Economics Association.
    14. Eugenio-Martin, Juan L., 2011. "Assessing social carrying capacity of tourism destinations with random utility models/Evaluación de la capacidad de carga social de los destinos turísticos con modelos de utilidad aleatoria," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 881-902, Diciembre.
    15. Mkwara, Lena & Marsh, Dan & Scarpa, Riccardo, 2015. "The effect of within-season variability on estimates of recreational value for trout anglers in New Zealand," Ecological Economics, Elsevier, vol. 119(C), pages 338-345.
    16. 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.
    17. Timmins, Christopher & Murdock, Jennifer, 2007. "A revealed preference approach to the measurement of congestion in travel cost models," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 230-249, March.
    18. Wainger, L. & Loomis, J. & Johnston, R. & Hansen, L. & Carlisle, D. & Lawrence, D. & Gollehon, N. & Duriancik, L. & Schwartz, G. & Ribaudo, M. & Gala, C., 2017. "Ecosystem Service Benefits Generated by Improved Water Quality from Conservation Practices," C-FARE Reports 260679, Council on Food, Agricultural, and Resource Economics (C-FARE).
    19. Christopher Timmins & Jennifer Murdock, 2006. "A Revealed Preference Approach to the Measurement of Congestion in Travel Cost Models," Working Papers tecipa-213, University of Toronto, Department of Economics.

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