The Effects of Variations in Game Fish Abundance on Texas Recreational Fishing Demand: Welfare Estimates,” unpublished

In an extensive earlier paper (Cameron, 1988a) we developed a fully utility-theoretic model for the demand for recreational fishing access days, applied to a sample of 3366 Texas Gulf Coast anglers. The model employs "contingent valuation " and "travel cost " data, jointly, in th...

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Bibliographic Details
Main Author: Trudy Ann Cameron
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 1989
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.504.9798
http://yosemite.epa.gov/ee/epa/eerm.nsf/vwAN/EE-0094.pdf/$file/EE-0094.pdf
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Summary:In an extensive earlier paper (Cameron, 1988a) we developed a fully utility-theoretic model for the demand for recreational fishing access days, applied to a sample of 3366 Texas Gulf Coast anglers. The model employs "contingent valuation " and "travel cost " data, jointly, in the process of calibrating a single utility function defined over fishing days versus all other goods and services. The theoretical specification (quadratic direct utility) and the econometric implementation will not be reproduced here. In this application, we supplement the original data set with information from the ongoing Resource Monitoring Program of the Texas Department of Parks and Wildlife. The RMP concerns all species, but we focus on the abundance of the primary game fish (red drum) across the eight major bay systems and over time. This improves upon earlier studies which utilize endogenous actual catch information. We allow the parameters of the underlying utility function to vary systematically with exogenously measured abundance to assess the impact of this important resource attribute upon the demand for access days. We use empirical estimates (and counterfactual simulations) of equivalent variation as measures of the social value of the fishery under current conditions and under alternative fish stock scenarios.