Real Options Analysis of Fishing Fleet Dynamics: A Test
Abstract
This paper develops and tests a dynamic optimization model of fishermen’s
investment behavior in a limited-entry fishery. Because exit from limited-entry
fisheries may be irreversible, the fisherman has an incentive to maintain
the right to fish (whether by actually fishing or by purchasing an annual
license) even when the fishery is not profitable, in the hope that conditions
may improve. This incentive provides at least a partial explanation for
excess capacity in fishing fleets, one of the most pressing fisheries
management issues in limited-entry (and other) fisheries around the world.
To assess the ability of simple financial models to explain observed investment
behavior, we develop a two-factor (price and catch) real options model
of the decision problem faced by an active fisherman who has the option
to exit a fishery irrevocably. The immediate reason for adopting a two-factor
model is the hope of achieving greater predictive power, since obviously
both price and catch are important to fishermen’s decisions. Another
advantage to this approach is that it provides a mechanism by which investment
behavior can be linked in a real options framework to exogenous factors
that affect price and catch separately. For example, international market
forces are likely to affect price while having a negligible effect on
a local fish stock, while local fish stock dynamics may affect catch directly
but have little influence on prices (assuming the demand for a particular
fish is relatively elastic). In a comparison of model predictions about
fishermen’s exit decisions to 5059 observed decisions in the California
salmon fishery in the 1990s, 65% of the model’s predictions are
correct, suggesting this approach may be useful in the
analysis of fishing fleet dynamics.
Source: Bosetti, V., and D. Tomberlin. 2004. “Real
Options Analysis of Fishing Fleet Dynamics: A Test. ” FEEM
Natural Resource Management Working Paper 102. Milan:
Fondazione
Eni Enrico Mattei (FEEM).
For more information, please contact: David.Tomberlin@noaa.gov
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