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

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esponsible and good <strong>fisheries</strong> management to ensure the efficacy <strong>of</strong><br />

development and viability <strong>of</strong> the resource, and 2) we have got to look at<br />

<strong>fisheries</strong> development in the recreational sector differently than we've looked<br />

at it in the past.<br />

Hayne, Don W. (1990). "Report <strong>of</strong> my Attendance <strong>of</strong> Workshop at<br />

Pascagoula, Mississippi in mid-May, 1990." Memorandum to Douglas<br />

R. Gregory, North Carolina State University, Raleigh, NC, June, 7<br />

pp.<br />

Comments concerning a workshop to compare the results <strong>of</strong> two studies <strong>of</strong><br />

the red snapper fishery with divergent results by Gutherz and Pellegrin (1987)<br />

and Nichols et al. (1987).<br />

Haynes, Jos and Sean Pascoe (1988). "A Policy Model <strong>of</strong> the Northern<br />

Prawn Fishery." Occasional Paper 103, Australian Bureau <strong>of</strong><br />

Agricultural and Resource Economics, GPO Box 1563, Canberra 2601.<br />

The northern prawn fishery has been subject to management since the<br />

early 1970's in an attempt to control the expansion <strong>of</strong> effort and prevent the<br />

overexploitation <strong>of</strong> the resource. Many <strong>of</strong> the management policies developed<br />

over this period have proved to be ineffective in controlling effort.<br />

Moreover, the increasing cost <strong>of</strong> management and the need to avoid costly and<br />

ineffective measures will lead to increasing demands for analysis <strong>of</strong> the cost<br />

effectiveness <strong>of</strong> such policies. This report outlines the mathematical<br />

programming model <strong>of</strong> the fishery designed to assess current and alternative<br />

management policies on both effort and pr<strong>of</strong>itability. Then the short and long<br />

run effects <strong>of</strong> the current and alternative management policies on the fishery<br />

are assessed.<br />

Heaps, Terry (1995). Density Dependent Growth and the Culling <strong>of</strong> Farmed<br />

Fish. Marine Resource Economics, 10(3):285-298.<br />

The aquaculture model <strong>of</strong> Arnason (1992) is extended to allow for density<br />

dependent growth. It is then shown that the optimal management policy for a<br />

fish farm may include a period in which there is culling <strong>of</strong> the stock up to a<br />

final slaughter date when all the remaining fish are slaughtered. Results in<br />

Heaps (1993), who dealt with density independent growth, for the effects <strong>of</strong><br />

changes in model parameters on the optimal final slaughter weight are shown to<br />

generalize to the case <strong>of</strong> density dependent growth. As well, a numerical<br />

example is provided where culling is definitely part <strong>of</strong> the optimal management<br />

plan.<br />

Heckman, James (1974). "Shadow Prices, Market Wages, and Labor Supply."<br />

Econometrica, 42(4):679-694.<br />

A common set <strong>of</strong> parameters that underlie the functions determining the<br />

probability that a woman works, her hours <strong>of</strong> work, her observed wage rate, and<br />

her asking wage or shadow price <strong>of</strong> time is derived in this paper. Two<br />

behavioral schedules are relied upon: the function determining the wage a<br />

woman faces in the market (the <strong>of</strong>fered wage), and the function determining the<br />

value a woman places on her time (the asking wage). If a woman works, her<br />

hours <strong>of</strong> work adjust to equate these wages if she has freedom to set her<br />

working hours. If a woman does not work, no <strong>of</strong>fered wage matches her asking<br />

wage. If both wage schedules are estimated, the estimated parameters can be<br />

used to determine the probability that a woman works, her actual hours <strong>of</strong> work<br />

given that she works, the potential market wage rates facing nonworking women,<br />

and the implicit value <strong>of</strong> time for nonworking women.<br />

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