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

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year class <strong>of</strong> prawns. A model <strong>of</strong> the fishery is constructed that is then<br />

subjected to optimization techniques to derive optimal management strategies.<br />

Dynamic programming is used to derive optimal fishery closures for a given<br />

number <strong>of</strong> vessels. The derived controls take into account the major source <strong>of</strong><br />

variation (variable recruitment). Their sensitivity to the uncertain<br />

parameters and to possible changes in costs is also considered, and the best<br />

number <strong>of</strong> vessels is determined taking into account parameter uncertainty,<br />

expected total pr<strong>of</strong>its, returns to capital, and the statistical distribution<br />

<strong>of</strong> returns.<br />

Sminkey, Thomas R. and John A. Musick (1995). Demographic Analysis <strong>of</strong> the<br />

Sandbar Shark, Carcharhinus plumbeus, in the Western North Atlantic. <br />

Virginia Institute <strong>of</strong> Marine Science, College <strong>of</strong> William and Mary,<br />

Gloucester Point, Virginia, 16 pp.<br />

Sandbar shark demographic analyses, using known and estimated life<br />

history parameters, including fishing mortality (F) at ages and levels<br />

estimated in a recent stock assessment, were used to estimate potential<br />

population growth and exploitation.<br />

Smit, Wil (1996). An Economic Approach to Measuring Fishing Effort:<br />

Application to a Dutch Cutter Fleet. Marine Resource Economics,<br />

11(4):305-311.<br />

This paper reports on the on-going attempt to assess fishing capacity<br />

and fishing effort for a range <strong>of</strong> years on the basis <strong>of</strong> common definitions.<br />

An aggregate effort measurement for a specific fleet is developed, taking into<br />

account capacity <strong>of</strong> the fleet and the number <strong>of</strong> days at sea. In this<br />

measurement, the changes in the size and composition <strong>of</strong> the fleet over time is<br />

measured using engine power, by weighting the engine power <strong>of</strong> vessels <strong>of</strong><br />

different sizes according to their economic productivity. Then, to find a<br />

relationship between fishing effort and productive output, using landings by<br />

species is not enough because catchability <strong>of</strong> the species varies over a wide<br />

range. Instead quantities <strong>of</strong> landings are weighted by using average prices.<br />

Thus, output is then a function <strong>of</strong> fishing effort and the availability <strong>of</strong> fish<br />

stocks.<br />

Smith, Baron A. (1978). "Measuring the Value <strong>of</strong> Urban Amenities."<br />

Journal <strong>of</strong> Urban Economics, 5:370-387.<br />

This paper develops a model for estimating price gradients for several<br />

urban amenities that departs from traditional techniques. The approach used<br />

is both intuitively appealing and fully consistent with basic urban location<br />

theory developed over the past decade. Multidimensional price gradients are<br />

estimated for such amenities as low crime, clean air, accessibility to work,<br />

the local quality <strong>of</strong> education and local taxes. In addition subgroup analysis<br />

allows the comparison <strong>of</strong> the estimated shadow prices for two different income<br />

groups.<br />

Smith, Courtland L. (1977). "The Failure <strong>of</strong> Success in Fisheries<br />

Management." Environmental Management, 1(3):239-247.<br />

Law <strong>of</strong> the Sea negotiations and The Fishery Conservation and Management<br />

Act <strong>of</strong> 1976 create new options for <strong>fisheries</strong> management. Historical analysis<br />

<strong>of</strong> two major management programs in the United States <strong>of</strong> America, columbia<br />

River chinook salmon and Pacific halibut, shows two unresolved management<br />

problems. One is the innovativeness <strong>of</strong> fishermen in seeking ways to improve<br />

their harvests. The other is changing social priorities that are largely<br />

unpredictable and outside the control <strong>of</strong> <strong>fisheries</strong> managers. A method for<br />

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