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

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Utility Models <strong>of</strong> Recreational Fishing: Catching Fish Using A Poisson<br />

Process. Marine Resource Economics, 10(3):247-261.<br />

This paper presents a Poisson model <strong>of</strong> expected angler catch during a<br />

sportfishing trip and employs the expected catch in a random utility model <strong>of</strong><br />

site choice. The approach permits greater heterogeneity in expected catch and<br />

individual welfare estimates from policies such as creel limits.<br />

McConnell, Kenneth E., Ivar E. Strand, S.K. Valdes, and Q.R. Weninger<br />

(1992). "The Economic Value <strong>of</strong> Mid and South Atlantic<br />

Sportfishing." Volume 2 <strong>of</strong> a report on Cooperative Agreement #CR-<br />

811043-01-0 between the University <strong>of</strong> Maryland, the Environmental<br />

Protection Agency, the National Marine Fisheries Service, and the<br />

National Oceanic and Atmospheric Administration.<br />

This projects goal is to document the value <strong>of</strong> marine resources derived<br />

from recreational fishing from New York to Florida. Sportfishing has economic<br />

value in that anglers would be willing to pay more for their opportunities<br />

than they actually have to pay. The value <strong>of</strong> opportunities for recreational<br />

fishing will depend on many aspects <strong>of</strong> the opportunities-the quality <strong>of</strong><br />

fishing, the weather, the skill <strong>of</strong> the angler, and so forth. There are two<br />

kinds <strong>of</strong> economic values <strong>of</strong> interest: a) the access value, what anglers would<br />

pay rather than do without access to the resource; and b) the value <strong>of</strong> a<br />

change in the quality <strong>of</strong> fishing, what anglers would pay for increments in<br />

fishing characteristics, such as the catch rate.<br />

McConnell, Virginia D. and Robert M. Schwab (1988). "The Impact <strong>of</strong><br />

Environmental Regulation on Industry Location Decisions: The Motor<br />

Vehicle Industry." Draft Report, University <strong>of</strong> Maryland,<br />

Baltimore County.<br />

The paper examines the impact <strong>of</strong> regional variation in environmental<br />

regulations on industry location decisions for one industry; automobile<br />

production. The focus is on location decisions in the 1970's, that was a time<br />

when there was some regional variation in environmental regulations in this<br />

industry, at both the county and state level, and when the costs <strong>of</strong> complying<br />

were sufficiently large that they might affect location decisions. Using a<br />

conditional logit model, we determine the regional factors important in firm<br />

location decisions for this industry, including various county and state<br />

measures reflecting the stringency <strong>of</strong> environmental regulations. We find no<br />

evidence that environmental regulations deter firm location in this industry<br />

when regulations are measured by a simple distinction between areas in<br />

attainment <strong>of</strong> ambient ozone standards and those not in attainment. There is<br />

some indication, though that the degree to which an area is out <strong>of</strong> attainment<br />

matters. Urban areas that are severely out <strong>of</strong> compliance with standards are<br />

less likely to be chosen.<br />

McDonald, A. David, Anthony D.M. Smith, Andre E. Punt, Ge<strong>of</strong>frey N. Tuck, and<br />

Adam J. Davidson (1997). Empirical Evaluation <strong>of</strong> Expected Returns from<br />

Research on Stock Structure for Determination <strong>of</strong> Total Allowable Catch. <br />

Natural Resource Modeling, 10(1):3-29.<br />

An approach to incorporating new information using Bayes theorem is<br />

applied to obtain estimates <strong>of</strong> expected returns from research on stock<br />

structure for determination <strong>of</strong> total allowable catch (TAC). Expected returns<br />

are measured relative to quantitative performance criteria that are outlined<br />

and a detailed case study <strong>of</strong> Tasmanian orange roughy is reported.<br />

McDonald, J.F. (1980). "Uses <strong>of</strong> Tobit Analysis." Rev. <strong>of</strong> Econ. and<br />

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