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

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Action Coordination <strong>of</strong> Research in Fishery Economics, Working<br />

Document Nr: 7,(AIR CT94 1489), Workshop, Edinburgh, October: 52-<br />

67.<br />

A constrained optimization model is developed to determine the impact <strong>of</strong><br />

fishing effort constraints on pr<strong>of</strong>its, the issuing process <strong>of</strong> effort licenses<br />

and allocation, management and control costs, bioeconomic efficiency, income<br />

distribution, and compliance in European Union <strong>fisheries</strong>. Given the limited<br />

yield from the fish stocks (implicit TAC), the transition from TAC to effort<br />

regulation problem is to determine the level <strong>of</strong> effort, preferably expressed<br />

in umber <strong>of</strong> fishing days for fleet segments, that corresponds to the amount <strong>of</strong><br />

fish a particular stock may yield, be it a quota or sustainable yield.<br />

Fulton, Murray and Richard E. Just (1989). "Antitrust, Exploration, and<br />

Social Optimality in Nonrenewable Resource Markets." Journal <strong>of</strong><br />

Environmental Economics and Management, 17:1-21.<br />

Dependence <strong>of</strong> electrical utilities on uncertain supplies <strong>of</strong> uranium<br />

apparently has led to an unusual conditioning <strong>of</strong> uranium demand on the<br />

uncertainty <strong>of</strong> supply that, in turn, depends on the volume <strong>of</strong> reserves. This<br />

paper examines the implications <strong>of</strong> controlling resource production uncertainty<br />

through exploration. Exploration gives a monopolistic resource supplier<br />

another tool (in addition to restricting output) that can be used to exercise<br />

market power. Exploration, however, is not subject to antitrust regulation.<br />

Results show that traditional antitrust laws may move such an industry away<br />

rather than toward social optimality.<br />

Funk, Fritz (1993). Preliminary Forecasts <strong>of</strong> Catch and Stock Abundance for<br />

1993 Alaska Herring Fisheries. Regional Information Report No. 5J93-<br />

06, Alaska Department <strong>of</strong> Fish and Game, P.O. Box 25526, Juneau, Alaska,<br />

May, 92 pp.<br />

The Pacific herring Clupea pallasi sac roe harvest in Alaska for 1993 is<br />

projected to be 76,063 tons. Herring food/bait harvests for 1993 are<br />

projected to be 9,938 tons. Herring spawn-on-pound-kelp <strong>fisheries</strong> are<br />

expected to produce 335 tons <strong>of</strong> product and spawn-on-wild-kelp harvests are<br />

expected to produce an additional 443 tons. The projected sac roe, food/bait,<br />

and spawn-on--kelp harvests are expected to increase from the 1992 levels.<br />

The 1992 herring harvest had an estimated value to fishermen <strong>of</strong> $31,504,867.<br />

Of the total 1992 value, sac roe <strong>fisheries</strong> contributed $25,160,330, spawn-onpound-kelp<br />

<strong>fisheries</strong> $3,722,000, food/bait <strong>fisheries</strong> $2,135,156, and spawn-onwild-kelp<br />

<strong>fisheries</strong> $487,381. Excellent recruitment from the 1988 year class<br />

in most areas has caused stock levels to increase. In many areas the 1988<br />

year class appears to be the largest on record. This strong year class will<br />

be age 5 for the 1993 harvest.<br />

Funk, Robert D., Wade L. Griffin, James W. Mjelde, and John M. Ward<br />

(1999). "A General Bioeconomic Fisheries Simulation Model <strong>of</strong><br />

License Limitation and Buyback in the Texas Bay Shrimp Fishery."<br />

Manuscript submitted to the American Journal <strong>of</strong> Agricultural<br />

Economics.<br />

The effect <strong>of</strong> a license limitation and buyback program being implemented<br />

for the Texas bay shrimp fishery on effort, rents, license price, and consumer<br />

and producer surplus is simulated. Results indicate the current program will<br />

not reduce effort and increase rents until year 16 <strong>of</strong> the program. To<br />

decrease the time necessary to reduce effort, additional funds to buyback<br />

licenses are necessary. Simulated results indicate that an additional<br />

$500,000 available per year at the beginning <strong>of</strong> the program to buy licenses<br />

2 0 9

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