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

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individual gulf vessels <strong>of</strong> using a turtle excluder device, a key issue in the<br />

ongoing debate over whether TEDs should be used. The results <strong>of</strong> four<br />

scenarios indicated a decline for negative impacts and an increase for<br />

positive impacts on shrimp production.<br />

Clark, Joy, Wade Griffin, Jerry Clark, and James Richardson (1991).<br />

"Simulated Economic Impact <strong>of</strong> TED Regulations on Selected Vessels<br />

in the Texas Shrimp Fishery." Marine Fisheries Review, 53(2):1-8.<br />

Shrimp fishermen trawling in the Gulf <strong>of</strong> Mexico and south Atlantic<br />

inadvertently capture and kill sea turtles that are classified as endangered<br />

species. Recent legislation requires the use <strong>of</strong> a Turtle Excluder Device<br />

(TED), that when in place in the shrimp trawl, reduces sea turtle mortality.<br />

The impact <strong>of</strong> the TED on shrimp production is not known. This intermediate<br />

analysis <strong>of</strong> the TED regulations using an annual firm level simulation model<br />

indicates that the average Texas shrimp vessel had a low probability <strong>of</strong> being<br />

an economic success before regulations were enacted. An assumption that the<br />

TED regulations resulted in decreased production aggravated this condition and<br />

the change in Ending Net Worth and Net Present Value <strong>of</strong> Ending Net Worth<br />

before and after a TED was placed in the net was significant at the 5 percent<br />

level.<br />

However, the difference in the Internal Rate <strong>of</strong> Return for the TED and<br />

non-TED simulations was not significant unless the TED caused a substantial<br />

change in catch. This analysis did not allow for interactions between the<br />

fishermen in the shrimp industry, an assumption that could significantly alter<br />

the impact <strong>of</strong> TED use on the catch and earnings <strong>of</strong> the individual shrimp<br />

vessel.<br />

Clarke, Raymond P. and Stacey S. Yoshimoto (1990). "Application <strong>of</strong> the<br />

Leslie Model to Commercial Catch and Effort <strong>of</strong> the Slipper<br />

Lobster, Scyllarides squammosus, Fishery in the Northwestern<br />

Hawaiian Islands." Marine Fisheries Review, 52(2):1-7.<br />

Commercial catch and effort data were fit to the Leslie model to<br />

estimate preexploitation abundance and the catchability coefficient <strong>of</strong> slipper<br />

lobster, Scyllarides squammosus, in the Northwestern Hawaiian Islands (NWHI).<br />

A single vessel fished for 34 consecutive days in the vicinity <strong>of</strong> Laysan<br />

Island and caught 126,127 total slipper lobster in 36,170 trap hauls.<br />

Adjusted catch <strong>of</strong> legal slipper lobster dropped from a high <strong>of</strong> 3.70 to 1.16<br />

lobster per trap haul. Preexploitation abundance at Laysan Island was an<br />

estimate 204,000 legal slipper lobster, which was extrapolated to yield an<br />

estimate <strong>of</strong> 1.2 x 10 6 to 3.8 x 10 6 lobster for the entire NWHI slipper lobster<br />

fishery.<br />

Clark, Simon and Donald A.R. George (1990). "Investment in the British<br />

Fishing Industry." Economics Research Papers, No.10, Sea Fish<br />

Industry Authority, Fisheries Economics Research Unit, Sea<br />

Fisheries House, 10 Young St., Edinburgh EH2 4JQ.<br />

Vessel length or horsepower are used as proxies for firm size in an<br />

applied study <strong>of</strong> the capital investment level for each new boat that enters<br />

the fishing industry. The price <strong>of</strong> fish although statistically insignificant<br />

in the linear model had a positive effect on the level <strong>of</strong> new investment.<br />

Fuel prices and the interest rate were not statistically significant in the<br />

model due to the nature <strong>of</strong> the data or the behavior <strong>of</strong> fishermen,<br />

respectively. The grant rate was highly significant in determining the level<br />

<strong>of</strong> investment in a new boat. However, this may have been a dominate variable<br />

in the regression equation causing other important variables to appear<br />

insignificant.<br />

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