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

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Sylvia, Gilbert and Sherry L. Larkin (1995). "Firm-Level Intermediate<br />

Demand for Pacific Whiting Products: a Multi-Attribute, Multisector<br />

Analysis." Canadian Journal <strong>of</strong> Agricultural Economics,<br />

43(3):501-518.<br />

Variation in seafood prices resulting from differences in product<br />

characteristics are <strong>of</strong>ten obscured by highly aggregated data or data<br />

representing only upstream sectors. This can lead to myopic commodity-based<br />

analysis that fails to identify how changes in public and private <strong>fisheries</strong><br />

management may impact product characteristics, market development, and long<br />

run social benefits. Given these problems, alternative methods are needed to<br />

complement traditional demand, supply, and cost-benefit analysis. Mail and<br />

personal surveys <strong>of</strong> seafood wholesalers were conducted to determine<br />

preferences for Pacific whiting products. The relative importance <strong>of</strong> fillet<br />

and headed and gutted product characteristics were determined using conjoint<br />

analyses and factorial based market experiments. Estimation <strong>of</strong> relative<br />

pr<strong>of</strong>itability, probability <strong>of</strong> purchase, and sort run conditional demand<br />

models revealed the importance <strong>of</strong> wholesaler characteristics, physical product<br />

characteristics, and contractual arrangements. Marketing margins and demands<br />

for improved products were also estimated. Implications for private and<br />

public resource management are discussed.<br />

Sylvia, Gilbert, Robert Hannah, and Michael Morrissey (1997). Bioeconomic<br />

Analysis <strong>of</strong> the Pink Shrimp Fishery. Proposal, Coastal Oregon Marine<br />

Experiment Station, University <strong>of</strong> Oregon, Newport, Oregon.<br />

The objective <strong>of</strong> the proposed analysis is to integrate the harvesting<br />

and processing sectors <strong>of</strong> the Oregon pink shrimp industry and evaluate<br />

economic impacts <strong>of</strong> altering the mix <strong>of</strong> product sizes, product recoveries, and<br />

product quality; to evaluate the impacts <strong>of</strong> growth overfishing and economic<br />

yield per recruit within an integrated bioeconomic model; to evaluate the<br />

economic benefits <strong>of</strong> using finfish excluder devices; to develop a model that<br />

incorporates these objectives and evaluate alternative management policies <strong>of</strong><br />

the pink shrimp fishery; and to disseminate research results through<br />

publications and presentations to industry, managers, and scientists.<br />

Takeuchi, Kunio and Tadashi Yamamoto (1993). "Change in Demand Pattern<br />

<strong>of</strong> Salmons in Japan with the Advent <strong>of</strong> Farmed Salmon." Presented<br />

at the International Conference on Fisheries Economics, Os,<br />

Norway, May 26-28.<br />

In the present study an attempt is made to clarify how an increase in<br />

the farmed salmon production affects the demand pattern <strong>of</strong> salmon in Japan.<br />

Talvitie, Antti (1972). "Comparison <strong>of</strong> Probabilistic Modal-Choice<br />

Models: Estimation Methods and System Inputs." Highway Research<br />

Record, 392:111-120.<br />

Twelve models were formulated by segmenting the total travel time and<br />

total travel cost by rapid transit and by automobile in different ways or by<br />

leaving them out completely and including only socioeconomic variables in the<br />

model. These models were then estimated by using logit, probit, and<br />

discriminant analyses. The results were evaluated in two respects: (1) are<br />

there differences in performance among the methods <strong>of</strong> estimation and (2) are<br />

there differences in performance among the twelve model specifications? The<br />

results indicate that there are no statistically significant differences<br />

either among the methods <strong>of</strong> estimation or among the model specifications<br />

themselves. A model that uses only two user characteristics, income and the<br />

number <strong>of</strong> working household members, and one system related variable, a dummy<br />

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