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

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happen to fishing outside the marine reserve and to the stock size in the<br />

entire area as a result <strong>of</strong> establishing a marine reserve. Three regimes are<br />

compared: (i) open access to the entire area, (ii) open access to the area<br />

outside the marine reserve, and (iii) optimum fishing in the entire area. Two<br />

models are used: (i) a continuous-time model, and (ii) a discrete-time model,<br />

both using the logistic growth equation. Both models are deterministic<br />

equilibrium models. The conservation effect <strong>of</strong> a marine reserve is shown to<br />

be critically dependent on the size <strong>of</strong> the marine reserve and the migration<br />

rate <strong>of</strong> fish. A marine reserve will increase fishing costs and<br />

overcapitalization in the fishing industry, to the extent that it has any<br />

conservation effect on the stock, and in a seasonal fishery it will shorten<br />

the fishing season. For stocks with moderate to high migration rates, a<br />

marine reserve <strong>of</strong> a moderate size will have only a small conservation effect,<br />

compared with open access to the entire area inhabited by a stock. The higher<br />

the migration rate <strong>of</strong> fish, the larger the marine reserve must be in order to<br />

achieve a given level <strong>of</strong> stock conservation. A marine reserve <strong>of</strong> an<br />

appropriate size would achieve the same conservation effect as optimum<br />

fishing, but with a smaller catch.<br />

Hannesson, Rognvaldur and Stein Ivar Steinshamn (1991). "How to Set<br />

Catch Quotas: Constant Effort or Constant Catch?" Journal <strong>of</strong><br />

Environmental Economics and Management, 20:71-91.<br />

This paper considers whether the total allowable catch from a fish stock<br />

should be a fixed annual quantity or based on constant fishing effort. It<br />

consists <strong>of</strong> two parts, a theoretical part and an empirical part based on data<br />

from the Arcto-Norwegian cod stock. In the theoretical part it is shown that<br />

realistic cost and revenue functions have opposite effects on whether a<br />

constant quota or a constant effort yields the highest expected pr<strong>of</strong>it. A<br />

concave revenue function implies that a constant quota will be preferable,<br />

while a stock dependent unit cost <strong>of</strong> landed fish has the opposite implication.<br />

The empirical part investigates how large the difference between the average<br />

pr<strong>of</strong>it yielded by the two strategies is likely to be, on the basis <strong>of</strong> some<br />

stylized facts about the Arcto-Norwegian cod stock. The size <strong>of</strong> this stock<br />

fluctuates considerably over time, due mainly to fluctuations in the size <strong>of</strong><br />

year classes. Spectral analysis indicates cyclical movements, and so a sine<br />

curve was used to generate recruitment cycles. The difference in average<br />

pr<strong>of</strong>it yielded by the two harvest strategies is very small in most cases, or<br />

<strong>of</strong> the order <strong>of</strong> 1-2%. This result is relatively robust with respect to<br />

alternative specifications <strong>of</strong> the cost and the revenue functions, but a<br />

maximum difference <strong>of</strong> 20% was produced by a non-stock-dependent unit cost <strong>of</strong><br />

fish and a kinked revenue function, where catches exceeding a certain quantity<br />

are worthless.<br />

Hanson, Gregory D., James W. Dunn, and Ganesh P. Rauniyar (1996). Marketing<br />

Characteristics Associated with Seafood Counters in Grocery Stores. <br />

Marine Resource Economics, 11(1):11-22.<br />

This study provides a benchmark analysis <strong>of</strong> seafood counter<br />

characteristics corresponding to the peaking <strong>of</strong> per capita seafood demand in<br />

the U.S. Logistic regression results show separate seafood counters are less<br />

likely in small stores, in rural stores, and in stores in low or medium income<br />

areas. Chain stores and stores with a significant number <strong>of</strong> non-white<br />

customers were more likely to have a seafood counter. Stores in the East<br />

South Central region were less likely, and stores in New England more likely<br />

to have a seafood counter. The likelihood that sores will develop seafood<br />

counters was related to differences in sales volume, floor space, urban/rural<br />

location, income level <strong>of</strong> clients and regional location. Continuing<br />

innovations in marketing technology <strong>of</strong> seafood counters are likely to provide<br />

2 8 2

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