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

iological productivity of the underlying fish stock. In Model B, this
assumption is relaxed. Results of both models suggest that if harvesting
effort in the FAD fishery is unregulated, installation of FAD networks will
not generally increase fishermen';s aggregate profit position. Furthermore,
depending on relative productivity and cost of effort in FAD and non-FAD
fishery, deployment of FADs may generate unintended results; decreases in
employment, harvest levels, and sustained gross revenues. Potential problems
are especially acute when FAD fishing effort is low cost and efficient, and
FADs are effective at aggregating fish. These findings point to the need for
managing levels of commercial fishing effort at FAD locations. Limited entry
schemes, licensing and user fees are discussed as possible management options.
Sampson, David B. (1991). "Fishing Tactics and Fish Abundance, and
Their Influence on Catch Rates." ICES J. Mar. Sci., 48:291-301.
Choosing a location for fishing is the major short run decision made by
the skipper of a fishing vessel. Because the spatial density of fish is not
uniform everywhere, where a skipper decides to fish largely determines the
size and value of his catch. For that to be a rational decision, the skipper
must consider not only the catches he is likely to make at different locations
but also the costs incurred in fishing at those locations. As a consequence
the catch rates and the catch per unit effort observed in a fishery depend not
just on fish stock abundance but also on economic factors such as wage rates
and fish and fuel prices. This paper develops some simple theoretical models
for examining a fisherman's selection of fishing location. The spatial
distribution of the fish stock is reduced to a single dimension, distance from
port, and it is assume d that fish density increases linearly with distance
from port and that the relative densities remain constant regardless of the
absolute level of fish stock abundance. If a skipper operates his vessel
further from port, he gains access to greater densities of fish and higher
instantaneous catch rates but uses more fuel and time for travel. A skipper
can maximize his share of the fishing profits by operating his vessel at a
particular distance from port. The skipper operates within constraints that
determine the form of the revenue and cost functions. Two models are
considered. In the first, the duration of a fishing trip is considered by the
size of the fish hold or by some other limit to the amount of fish that can be
landed; each fishing trip continues until the hold is filled. In this case
catch and revenue per trip are constant but the fishing costs vary nonlinearly
with distance from port. Here the catch per unit effort is a nonlinear
function of the total biomass of the fish stock but the cpue is independent of
the price of fish. In the second model, there is a time constraint: to fill
the hold would take too much time. In this case each trip is of a fixed
duration and catch and revenue per trip are quadratic functions of distance
from port and operating costs vary linearly. Here cpue is a linear function
of fish stock biomass and a nonlinear function of fish price.
Sampson, David B. (1992). "Fishing Technology and Fleet Dynamics:
Predictions from a Bioeconomic Model." Marine Resource Economics,
7(1):37-58.
Bioeconomic models of fisheries usually do not provide details of
fishermen's short-run behavior. This paper develops a model for the short-run
selection of fishing location by profit maximizing fisherman in an open access
fishery given that fish density increases further from port and given that
fishing trips have a fixed duration. For any particular level of fish price
and fish stock abundance, a fishing vessel's technical characteristics (fuel
consumption, catch rate, vessel speed) and economic characteristics (wage
rates, fuel price) determine the optimum location for fishing. A long run
model is derived; the cost flows for the fishing vessel and the biological
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