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Linking sportfishing trip attributes, participation decisions, and regional economic impacts in Lower and Central Cook Inlet, Alaska

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  • Charles Hamel

    ()
    (Department of Economics, University of Alaska Fairbanks, Fairbanks, AK 99775-6080, USA)

  • Hans T. Geier

    (Department of Natural Resource Management, University of Alaska Fairbanks, Fairbanks, AK 99775-7580)

  • Mark Herrmann

    ()
    (Department of Economics, University of Alaska Fairbanks, Fairbanks, AK 99775-6080, USA)

  • Keith R. Criddle

    ()
    (Department of Economics, Utah State University, Logan, UT 84322-3530, USA)

  • S. Todd Lee

    (National Marine Fisheries Service, Alaska Fishery Science Center, 7600 Sand Point Way NE, Bldg 4, Seattle, WA 98115, USA)

Abstract

Forecasts of the regional economic impacts of changes in the demand for recreation occasioned by regulatory changes, changes in the quality of the recreation experience, or changes in average trip costs require a model that links changes in these trip attributes to individual participation decisions and population participation rates. The probability that an individual will take a particular recreational trip is described using a nonlinear random effects probit model based on variable trip attributes and individual economic and demographic characteristics. These conditional individual probabilities are transformed into predictions of changes in total recreation demand using a simulation-based sample enumeration method. The regional impacts associated with ensuing changes in primary and secondary expenditure patterns are elucidated with a stand-alone recreation-sector module linked to a regionally adjusted zip code-level input-output model. Because the participation model allows for non-constant marginal utility, primary and secondary impacts exhibit nonlinear responses to variations in trip attributes. The modeling approach is demonstrated in an application to the saltwater sport fisheries for Pacific halibut and salmon in Lower and Central Cook Inlet, Alaska.

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Bibliographic Info

Article provided by Springer in its journal The Annals of Regional Science.

Volume (Year): 36 (2002)
Issue (Month): 2 ()
Pages: 247-264

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Handle: RePEc:spr:anresc:v:36:y:2002:i:2:p:247-264

Note: Received: February 2001/Accepted: December 2001
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Cited by:
  1. Devkota, Nirmala & Fannin, James Matthew & Paudel, Krishna P., 2006. "Economic Impact Estimation Using Bootstrap Samples Obtained From Internet And Intercept Survey Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21150, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  2. Starbuck, C. Meghan & Berrens, Robert P. & McKee, Michael, 2006. "Simulating changes in forest recreation demand and associated economic impacts due to fire and fuels management activities," Forest Policy and Economics, Elsevier, vol. 8(1), pages 52-66, January.

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