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

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The paper compares four methods <strong>of</strong> rent capture in a fishery managed<br />

with individual transferable quotas using simulations from a unit pr<strong>of</strong>it<br />

function. Some theoretical properties <strong>of</strong> a quota rental charge, pr<strong>of</strong>it<br />

charge, lump sum charge, and an ad valorem royalty are examined and then<br />

compared in simulations in terms <strong>of</strong> the distribution <strong>of</strong> pr<strong>of</strong>its, distortions<br />

to the fishery, the relative burden on fishers, and flexibility to adjust to<br />

changes in the fishery.<br />

Grafton, R. Quentin (1996). Implications <strong>of</strong> Taxing Quota Value in an<br />

Individual Transferable Quota Fishery: Comment. Marine Resource<br />

Economics, 11(2):125-127.<br />

A response to an article by Johnson (1995) that examines the effects <strong>of</strong><br />

imposing resource rentals on fishermen in an individual transferable quota<br />

(ITQ) fishery. In a second best world, a tax on ITQ value may not be ideal,<br />

but could be preferable to no tax under certain conditions.<br />

Grafton, R. Quentin and J. Silva-Echenique (1997). How to Manage Nature?<br />

Strategies, Predator-Prey Models, and Chaos. Marine Resource<br />

Economics, 12(2):127-143.<br />

The Lotka-Volterra predator-prey model exemplifies the implicit and<br />

explicit assumptions managers <strong>of</strong>ten have regarding species interaction -<br />

populations are stable or fluctuate periodically. The reality is <strong>of</strong>ten much<br />

more complicated and there is overwhelming evidence that many populations<br />

fluctuate in a nonperiodic way. Using a discrete predator-prey model that<br />

generates chaos, it is possible to qualitatively mimic the interaction <strong>of</strong> some<br />

predator-prey populations. The implications <strong>of</strong> the paper are that managers<br />

should place greater emphasis on theoretical modeling and simulations, try to<br />

understand ecosystems and broad relationships between species rather than<br />

obtain minute details and data on individual populations, make management as<br />

flexible as possible to help people adjust to rapid changes in populations,<br />

employ mixed strategies so as to give options whatever the underlying<br />

dynamics, and, where appropriate, experiment with different strategies for<br />

different subpopulations to learn more about the effectiveness <strong>of</strong> alternative<br />

management approaches.<br />

Granger, C.W.J. (1989). Forecasting in Business and Economics.<br />

Academic Press, Inc., New York.<br />

This text provides a clear cut strategy for tackling a forecasting<br />

problem. The importance <strong>of</strong> the selection <strong>of</strong> a relevant information set is<br />

emphasized together with the question <strong>of</strong> how to evaluate one's forecasts once<br />

they have been prepared. With this strategy in mind, a variety <strong>of</strong> forecasting<br />

techniques and problems, <strong>of</strong> increasing scope and complexity, are discussed.<br />

Grant, George (1990). "The U.S. Swordfish Industry: A Socio-Economic<br />

Overview." Final Report, New Jersey <strong>fisheries</strong> Development<br />

Commission, April, 29 pp.<br />

This monograph presents a compilation <strong>of</strong> descriptive, survey and<br />

analytical data relating to the possible socioeconomic impacts <strong>of</strong> Amendment 1<br />

to the Swordfish Management Plan focusing on the state <strong>of</strong> New Jersey fishery.<br />

Grant, William E. (1986). Systems Analysis and Simulation in Wildlife<br />

and Fisheries Sciences. John Wiley & Sons, New York.<br />

The book's objectives are to describe the systems approach to problem<br />

solving, demonstrate its applicability to wildlife and <strong>fisheries</strong> problems, and<br />

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