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

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The impact <strong>of</strong> <strong>fisheries</strong> exploitation, development, and pollution on the<br />

Gulf <strong>of</strong> Mexico. An entire section is devoted to the shrimp fishery and<br />

another to aquaculture. Emphasis is also placed on the people who earn their<br />

living from harvesting living marine resources and the prospects for their<br />

future. A most insightful assessment.<br />

McKee, David A., Addison L. Lawrence, and Wade L. Griffin (1989).<br />

"Stocking Strategies and an Investment Analysis for Producing<br />

Penaeus setiferus as a Live Bait-Shrimp on the Texas Coast."<br />

Journal <strong>of</strong> the World Aquaculture Society, 20(2):72-80.<br />

An economic and investment analysis was performed to determine the<br />

viability <strong>of</strong> bait-shrimp farming in Texas. A single pond analysis producing 5<br />

- 5.5 g shrimp always had higher returns above selected cost (RASC) than<br />

producing 4 - 4.5 g shrimp. Stocking 0.01 g shrimp had a higher RASC than<br />

stocking 0.25 g, 0.50 g, or 0.75 g shrimp. In the 20 pond analysis, which<br />

accounted for marketing considerations, stocking 0.25 g shrimp had the highest<br />

RASC. The investment analysis, assuming average management, was declared<br />

bankrupt by the end <strong>of</strong> the fifth year. Under "excellent" management the<br />

internal rate <strong>of</strong> return was only 11.7%. It is unlikely that bait-shrimp<br />

farming will become a viable industry in Texas in the near future.<br />

McKelvey, Richard D. and William Zavoina (1975). "A Statistical Model<br />

for the Analysis <strong>of</strong> Ordinal Level Dependent Variables." Journal<br />

<strong>of</strong> Mathematical Sociology, 4:103-120.<br />

This paper develops a model with assumptions similar to the linear model<br />

for use when the observed dependent variable is ordinal. This model is an<br />

extension <strong>of</strong> the dichotomous probit model and assumes that the ordinal nature<br />

<strong>of</strong> the observed dependent variable is due to methodological limitations in<br />

collecting the data that force the researcher to lump together and identify<br />

various portions <strong>of</strong> an otherwise interval level variable. The model assumes a<br />

linear effect <strong>of</strong> each independent variable as well as a series <strong>of</strong> break points<br />

between categories for the dependent variable. Maximum likelihood estimators<br />

are found for these parameters along with their asymptotic sampling<br />

distributions and an analogue <strong>of</strong> R 2 (the coefficient <strong>of</strong> determination in<br />

regression analysis) is defined to measure goodness <strong>of</strong> fit. The use <strong>of</strong> the<br />

model is illustrated with an analysis <strong>of</strong> Congressional voting on the 1965<br />

Medicare Bill.<br />

McKelvey, Robert (1983). "The Fishery in a Fluctuating Environment:<br />

Coexistence <strong>of</strong> Specialist and Generalist Fishing Vessels in a<br />

Multipurpose Fleet." Journal <strong>of</strong> Environmental Economics and<br />

Management, 10:287-309.<br />

The fishery is a prime example <strong>of</strong> a common property renewable resource<br />

industry. A second prominent feature is the extreme variability <strong>of</strong> its<br />

environment, both biologic and economic. Traditionally fishing vessels have<br />

harvested a single species or aggregation, but now powerful multipurpose<br />

vessel have been introduced that switch targets as opportunities arise. These<br />

vessels represent an adaptation to the fluctuating environment: they give up<br />

efficiency <strong>of</strong> specialized operations for flexibility under changing<br />

conditions. We analyze, from the point <strong>of</strong> view <strong>of</strong> economic efficiency, the<br />

common property operation <strong>of</strong> a mixed fleet <strong>of</strong> generalist and specialist<br />

fishing vessels in a fluctuating environment.<br />

McKenna, James E., Jr. (1994). "Commercial Landings and Quota<br />

Monitoring <strong>of</strong> Florida's 1992-1993 King Mackerel Fishery." In<br />

South Atlantic Fishery Management Council, Gulf <strong>of</strong> Mexico Fishery<br />

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