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

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($450 million lost annually).<br />

Chambers, Robert B. and Ivar E. Strand, Jr. (1986). "Estimating<br />

Parameters <strong>of</strong> a Renewable Resource Model Without Population Data."<br />

Marine Resource Economics, 2(3):263-274.<br />

A general approach to determining parameters <strong>of</strong> a traditional<br />

bioeconomic model is <strong>of</strong>fered for the situation in which knowledge <strong>of</strong> resource<br />

abundance is unknown. Production parameters (such as catchability<br />

coefficients) and biological factors (such as natural mortality and<br />

recruitment) are included in the model. The general model is articulated for<br />

a typical fishery and further specified to obtain estimates <strong>of</strong> parameters for<br />

the St. John's river Shad fishery. The results, considering the illustrative<br />

nature <strong>of</strong> the analysis, are promising and suggest avenues <strong>of</strong> additional<br />

research.<br />

Chambers, Robert B., Rolf Fare, Shawna Grosskopf, James Kirkley, Johan<br />

A. Mistiaen, Catherine J. Morrison Paul, Dale Squires, and Ivar E.<br />

Strand, Jr. (1999). "A Workshop on Measuring Productivity in<br />

Fisheries." Draft report, Department <strong>of</strong> Agricultural and Resource<br />

Economics, University <strong>of</strong> Maryland, May.<br />

A summary <strong>of</strong> the results <strong>of</strong> a workshop held to develop an index <strong>of</strong><br />

fishery productivity. Unique problems arising from common property <strong>fisheries</strong>,<br />

regulation, and multiple outputs were discussed in the context <strong>of</strong> existing<br />

productivity theory. Case studies were presented for a number <strong>of</strong> different<br />

approaches including econometric analysis and an application <strong>of</strong> a Malmquist<br />

index.<br />

Chapman, D.G. (1964). "A Critical Study <strong>of</strong> Pribil<strong>of</strong> Fur Seal Population<br />

Estimates." Fishery Bulletin, 63(3):657-669.<br />

Previously unresolved problems in the populations studies <strong>of</strong> the<br />

Pribil<strong>of</strong> fur seal are reviewed. The tagging estimates <strong>of</strong> fur seal pups may<br />

have been biased by tag mortality and hence the apparent year class<br />

fluctuations after 1952 may be unreal. A set <strong>of</strong> cumulative estimates are<br />

given for the number <strong>of</strong> pups born in each year since 1950. These cumulative<br />

estimates depend on the estimate <strong>of</strong> the ratio <strong>of</strong> survival <strong>of</strong> females to males<br />

from birth to age 3. An estimate <strong>of</strong> this ratio is given. The implications <strong>of</strong><br />

this study on the population dynamics model <strong>of</strong> the fur seal are reviewed: in<br />

particular while the exact model is less definite, the suggested optimum<br />

population level is almost unchanged from that suggested in earlier studies.<br />

Charles, Anthony T. (1983). "Optimal Fisheries Investment: Comparative<br />

Dynamics for a Deterministic Seasonal Fishery." Can J. Fish.<br />

Aquat. Sci., 40:2069-2079.<br />

A dynamic <strong>fisheries</strong> model is developed to simultaneously optimize<br />

investment in the resource stock (the fish) and investment in the capital<br />

stock (the fleet). Each <strong>of</strong> these investment problems faces a major<br />

complication; investment in the resource is constrained by the natural<br />

population dynamics, while investment in the physical capital stock tends to<br />

be irreversible because capital used in natural resource industries is <strong>of</strong>ten<br />

nonmalleable. The model assumes a seasonal fishery in which annual escapement<br />

and capital investment levels can be controlled. A dynamic programming<br />

approach is used to analyze the model heuristically and numerically. The<br />

comparative dynamics <strong>of</strong> optimal investment strategies are studied, with regard<br />

to (i) delays in investment, (ii) population dynamics parameters, (iii) fish<br />

price, (iv) capital cost, (v) depreciation rate, and (vi) discount rate. In<br />

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