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

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current management policy in sustaining swordfish stocks and improving long<br />

run net economic returns to the fishery, (2) provide comparisons <strong>of</strong> current<br />

policy (i.e. TAC direct and bycatch quotas) to proposed policies in terms <strong>of</strong><br />

sustainability <strong>of</strong> the fishery and long run economic returns, and (3) compute<br />

the optimal 6 month harvest quota and bycatch limit under the following<br />

alternate goals: maximize long run economic returns, maximize annual yields,<br />

and maximize likelihood <strong>of</strong> sustaining the fishery beyond a specified target<br />

date.<br />

Lee, Donna, Sherry L. Larkin, and Charles Adams (1996). A Bioeconomic<br />

Analysis <strong>of</strong> Proposed Regulations in the U.S. North Atlantic Swordfish<br />

Fishery. Staff Paper SP 98-10, Institute <strong>of</strong> Food and Agricultural<br />

Sciences, Food and Resource Economics Department, University <strong>of</strong> Florida,<br />

Gainesville, Fl, June, 56 pp.<br />

A bioeconomic programming model was developed for the North Atlantic<br />

swordfish (Xiphias gladius)fishery to examine the effect <strong>of</strong> alternative<br />

management schemes. The model uses population dynamic equations obtained from<br />

the International Commission for the Conservation <strong>of</strong> Atlantic Tunas (ICCAT)<br />

and characteristics <strong>of</strong> the domestic fleet as reported to National Marine<br />

Fisheries Service (NMFS) in 1996. The model chooses the annual harvest level<br />

and domestic fleet size that maximize the net present value <strong>of</strong> returns to the<br />

U.S. commercial fishery across a five-year time horizon ( which corresponds<br />

with the ICCAT management time line). The model explicitly includes<br />

conservation measures.<br />

Results indicate that five-year economic returns to the U.S. Atlantic<br />

longline fishery (discounted at ten percent annually) can be increased by<br />

reducing fleet size or by lowering the mortality <strong>of</strong> incidentally caught<br />

juveniles. Domestic policies aimed at reducing juvenile mortality may<br />

increase biomass in subsequent years and benefit the entire industry.<br />

Regulators need, however, to jointly consider such policies since an increase<br />

in stock size may be able to support a larger domestic fleet (which would<br />

contrast with proposed limited entry policies.).<br />

Lee, John, Jr. (1994). Transparency, Empowerment, and the Public Interest: A<br />

View on the Role <strong>of</strong> Publicly-Employed Agricultural Economists. <br />

American Journal <strong>of</strong> Agricultural Economics, 76(5):1010-1021.<br />

What should publicly supported institutions that employ agricultural<br />

economists expect <strong>of</strong> them.<br />

Lee, Lung Fei and Robert P. Trost (1978). "Estimation <strong>of</strong> some Limited<br />

Dependent Variable Models with Application to Housing Demand."<br />

Journal <strong>of</strong> Econometrics, 8:357-382.<br />

A model that extends the switching regression models and combines<br />

several different limited dependent variable models into a general framework<br />

is introduced. Methods to get consistent estimates and asymptotic efficient<br />

estimates are derived. Our estimation procedures are then used to study a<br />

housing expenditure model that takes into account the simultaneous<br />

determination <strong>of</strong> whether or not to own and how much to spend.<br />

Lee, S. Todd and Daniel Holland (1999). The Impact <strong>of</strong> Noisy Catch Data on<br />

Estimates <strong>of</strong> Fishing Capacity Derived From DEA and Stochastic Frontier<br />

Models: A Monte Carlo Comparison. Draft report, Alaska Fisheries<br />

Science Center, NMFS, 7600 Sand Point Way NE, Seattle, WA, 23 pp.<br />

There is currently much national and international interest in measuring<br />

commercial fishing capacity. Two quantitative methods that will likely be<br />

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