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Willingness to Pay for Non Angler Recreation at the Lower Snake River Reservoirs

Bibliographic Data

ID10138304
AuthorsJohn R McKean (0000-0002-8901-5633, AEI Economic Consultants, corresponding author), Donn M Johnson (0000-0003-0719-6053, Quinnipiac University), Donn Johnson (Economics Department Quinnipiac University), R Garth Taylor (0000-0003-2320-3102, Department of Agricultural Economics and Rural Sociology University of Idaho), Richard L Johnson (United States Geological Survey)
Year2005
Volume37
Issue2
Pages178-194
Publication date2005-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Leisure Research (JOURNAL)
Journal identifiersISSN: 0022-2216 • E-ISSN: 2159-6417
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/00222216.2005.11950049
OpenAlexW1743236026
LanguageEN
Citations received4
References cited36

This study applied the travel cost method to estimate demand for non angler recreation at the impounded Snake River in eastern Washington. Net value per person per recreation trip is estimated for the full non angler sample and separately for camping, boating, water-skiing, and swimming/picnicking. Certain recreation activities would be reduced or eliminated and new activities would be added if the dams were breached to protect endangered salmon and steelhead. The effect of breaching on non angling benefits was found by subtracting our benefits estimate from the projected non angling benefits with breaching. Major issues in demand model specification and definition of the price variables are discussed. The estimation method selected was truncated negative binomial regression with adjustment for self selection bias.KEYWORDS: Travel cost modelnon angler recreationlower Snake Riverdam breachingtwo-step decision model

Commercial fishing · Economics · Endangered species · Fishery · Fishing · Geography · Habitat · Negative binomial distribution · Recreation · Sample (material · Statistics · Willingness to pay · Ecology · Economic and Environmental Valuation · Economics of Agriculture and Food Markets · Environmental Science · Gender, Labor, and Family Dynamics · Mathematics

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Unique citing works4
Citations per year1.33
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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