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annotated bibliography of fisheries economics literature - Office of ...

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management using an alleged letter from a former student as the vehicle.<br />

Larkin, Sherry L. and J. Walter Milon (1997). Florida s Spiny Lobster<br />

Fishery: Preliminary Analysis Using Catch-Effort Data. Draft Report,<br />

P.O. Box 110240, Food and Resource Economics Department, University <strong>of</strong><br />

Florida, Gainesville, Florida, August, 22 pp.<br />

Several surplus production models are estimated for Florida s commercial<br />

spiny lobster (Panulirus argus) fishery. Results are used to derive and<br />

compare selected biological parameters including the intrinsic growth rate,<br />

catchability coefficient, and maximum stock level. The model developed by<br />

Clarke, Yoshimoto, and Pooley best explained the dynamics; this model had the<br />

highest explanatory power largest number <strong>of</strong> statistically significant<br />

independent variables, and reasonable estimates <strong>of</strong> the biological parameters.<br />

Using this model, a statistical difference was found during years <strong>of</strong> fishing<br />

in international waters. This result did not, however, appreciably alter the<br />

biological parameter estimates.<br />

Larkin, Sherry L. and Gilbert Sylvia (1995). Intrinsic Product<br />

Characteristics and Fisheries Management: An Intraseason Bioeconomic<br />

Analysis <strong>of</strong> the Pacific Whiting Fishery. Draft Report, Department <strong>of</strong><br />

Agriculture and Resource Economics, Ballard Extension Hall 322, Oregon<br />

State University, Corvallis, Oregon and the Coastal Oregon Marine<br />

Experiment Station, Hatfield Marine Science Center, Oregon State<br />

University, Newport, Oregon, August.<br />

An empirical bioeconomic model <strong>of</strong> the Pacific whiting fishery is<br />

developed to illustrate the inefficiency <strong>of</strong> calendar independent policies<br />

for managing stocks that display physical variation within seasons. The model<br />

uses the characteristics <strong>of</strong> the harvested product to link biological<br />

information with the <strong>economics</strong> <strong>of</strong> production. The socially optimal short run<br />

management plan jointly regulates the intra season harvest pattern and quasiproperty<br />

rights allocation. The distinct effects <strong>of</strong> these regulations are<br />

examined using sensitivity analysis. Results indicate that society benefits<br />

from harvest plans that consider intrinsic characteristics by regulating the<br />

timing <strong>of</strong> harvest within each season. Moving from an early to a later season<br />

fishery increased 3-year net present value from U.S. $36.5 million to $66.4<br />

million due to greater biological growth and higher product recovery rates<br />

associated with improved intrinsic quality <strong>of</strong> the fish. Results also show a<br />

conservation effect for both the resource stock and the ecosystem. In<br />

addition, the magnitude <strong>of</strong> benefits are robust to the allocations held by<br />

onshore and <strong>of</strong>fshore sectors. This analysis <strong>of</strong>fers insights for improving<br />

<strong>fisheries</strong> management.<br />

Larkin, Sherry L. and Gilbert Sylvia (1995). Intrinsic Product<br />

Characteristics and Intraseason Production Efficiency. Draft Report,<br />

Food and Resource Economics Department, University <strong>of</strong> Florida,<br />

Gainesville, FL and the Coastal Oregon Marine Experiment Station,<br />

Hatfield Marine Science Center, Oregon State University, Newport,<br />

Oregon.<br />

Aside from the determination <strong>of</strong> harvest levels, contemporary management<br />

<strong>of</strong> many species is dominated by concerns for the economic well-being <strong>of</strong> the<br />

harvesters, especially when there are several competing heterogenous harvest<br />

groups. Fisheries managers, therefore, <strong>of</strong>ten overlook the biological and<br />

economic effects <strong>of</strong> seasonal physiological changes in individual fish cohorts.<br />

For many marine species, these changes can affect harvest yields, processor<br />

recovery rates, and quality characteristics <strong>of</strong> processed products. Ignoring<br />

these factors can lead to smaller socks and harvests, increased costs, lower<br />

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