simple empirical model of data fouling by high-grading in capture fisheries[Erratum: 2007 Aug., v. 83, no. 3.]

A serious problem facing fisheries managers is how to improve estimates of the distortion in stock assessments resulting from "fouling" of commercial catch data. We propose a simple analytical model of discarding and high-grading, and estimate the "data fouling factor"--the wedge...

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Bibliographic Details
Published in:Land economics 2007-02, Vol.83 (1), p.74-85
Main Authors: Wernerheim, C.M, Haedrich, R.L
Format: Article
Language:English
Subjects:
Biology
Costs
Data analysis
data collection
economic analysis
Economic models
Economic theory
Empirical research
equations
Fisheries
Fisheries law
Fisheries management
Fisheries science
Fishery economics
Fishery management
Fouling
Marine
Marine ecosystems
Marine fishes
mathematical models
natural resource management
Ocean fisheries
Oceans
Policy making
Prices
Statistical analysis
Studies
Sustainable fisheries management
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Summary:A serious problem facing fisheries managers is how to improve estimates of the distortion in stock assessments resulting from "fouling" of commercial catch data. We propose a simple analytical model of discarding and high-grading, and estimate the "data fouling factor"--the wedge between what is caught and discarded at sea, and what is reported to the regulator. Using available data on biology, harvesting technology, prices, and costs, the model is parameterized and solved numerically for the profit-maximizing effort level and the associated number of high-grading operations. Some illustrative policy implications are derived.
ISSN:0023-7639
1543-8325
DOI:10.3368/le.83.1.74