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

Dados Bibliográficos

ID10138304
AutoresJohn R McKean (0000-0002-8901-5633, AEI Economic Consultants, autor correspondente), 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)
Ano2005
Volume37
Fascículo2
Páginas178-194
Data de publicação2005-06-01
Open AccessNão
TipoARTICLE
PeriódicoJournal of Leisure Research (JOURNAL)
Identificadores do periódicoISSN: 0022-2216 • E-ISSN: 2159-6417
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/00222216.2005.11950049
OpenAlexW1743236026
IdiomaEN
Citações recebidas4
Referências citadas36

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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