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

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(Mackerel) Management Unit." NOAA Technical Memorandum, NMFS-<br />

SEFC-84, U.S. Department <strong>of</strong> Commerce, National Oceanic and<br />

Atmospheric Administration, National Marine Fisheries Service,<br />

Southeast Fisheries Center, Miami, FL, March, 42 pp.<br />

This report presents an inventory <strong>of</strong> existing economic data useful in<br />

the analysis <strong>of</strong> the coastal migratory pelagic resources (mackerel) within the<br />

southeast region. The actual list providing an inventory <strong>of</strong> the existing data<br />

describes the available data and provides representative examples. The second<br />

section <strong>of</strong> this report discusses this data inventory and describes near term<br />

plans to supplement the existing data bases. A fairly complete list <strong>of</strong> the<br />

bibliographic influences applicable to the economic analysis <strong>of</strong> the coastal<br />

pelagic fishery is also presented.<br />

Ward, John M. and John R. P<strong>of</strong>fenberger (1982). "Survey <strong>of</strong> Ice Plants in<br />

Louisiana, Mississippi, and Alabama, 1980-81." Marine Fisheries<br />

Review, 44(9-10):55-57.<br />

This report presents the findings <strong>of</strong> the 1980-81 survey <strong>of</strong> ice plants in<br />

the coastal areas <strong>of</strong> Louisiana, Mississippi, and Alabama. The survey was<br />

undertaken by the National Marine Fisheries Service's Southeast Fisheries<br />

Center to determine the impact <strong>of</strong> the Texas Closure regulation on the level <strong>of</strong><br />

ice sales in this region. The 1980 survey was limited to Louisiana ice plants<br />

during the 13 week period <strong>of</strong> the spring brown shrimp season. The 1981 survey<br />

<strong>of</strong> Louisiana, Mississippi, and Alabama ice plants covered an 18 week period.<br />

The two surveys were compared using the 13 week period <strong>of</strong> the 1980 Louisiana<br />

survey. Results <strong>of</strong> the analysis indicate that weekly ice sales did not exceed<br />

productive and storage capacity in either year despite both the increased<br />

shrimp landings and the Texas closure regulation in 1981.<br />

Ward, John M. and Jon G. Sutinen (1992). "Modeling Vessel Mobility: The<br />

Gulf <strong>of</strong> Mexico Shrimp Fleet." NOAA Technical Report, National<br />

Marine Laboratory, F/AKC3, National Marine Fisheries Service,<br />

NOAA, 7600 Sand Point Way, N.E., Seattle, WA 98115-0070.<br />

Given the heterogeneous nature <strong>of</strong> the fishing fleet and the complex<br />

behavior <strong>of</strong> vessels, the traditional marginalist supply models are not well<br />

suited for modeling vessel mobility. A discrete choice model is utilized in<br />

this analysis to predict the probability that a vessel will enter, exit, or<br />

remain in the Gulf <strong>of</strong> Mexico shrimp fishery based on a myopic pr<strong>of</strong>it<br />

maximization criteria. The multinomial logit model indicates that stock<br />

variability does not influence fisherman behavior in the Gulf <strong>of</strong> Mexico shrimp<br />

fishery. The crowding externality, represented by the size <strong>of</strong> the fishing<br />

fleet, exhibits a strong negative impact on the probability <strong>of</strong> entry by<br />

fishing vessels independent <strong>of</strong> changes in abundance, ex-vessel prices, or<br />

harvesting costs. Lastly, the Gulf <strong>of</strong> Mexico shrimp fishery is not the<br />

autonomous system <strong>of</strong> fishing vessels as was initially believed.<br />

Ward, John M. and Jon G. Sutinen (1992). "Modeling Vessel Entry-Exit<br />

Behavior in the Gulf <strong>of</strong> Mexico Shrimp Fishery." Draft report<br />

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

Given the heterogeneous nature <strong>of</strong> the fishing fleet and the complex<br />

behavior <strong>of</strong> vessels, the traditional marginalist supply models are not well<br />

suited for modeling vessel mobility. A discrete choice model is utilized in<br />

this analysis to predict the probability that a vessel will enter, exit, or<br />

remain in the Gulf <strong>of</strong> Mexico shrimp fishery based on a myopic pr<strong>of</strong>it<br />

maximization criteria. The multinomial logit model indicates that stock<br />

variability does not influence fisherman behavior in the Gulf <strong>of</strong> Mexico shrimp<br />

7 0 8

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