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

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Structure <strong>of</strong> the Florida Shrimp Processing Industry." Report No.<br />

9, State University System <strong>of</strong> Florida, Sea Grant Program,<br />

February, 46 pp.<br />

This report provides information about the Florida shrimp processing<br />

industry based on 1972 data including the raw product supply situation,<br />

marketing channels and market structure, and conduct and performance. Changes<br />

and trends are identified to assist firms and potential investors in planning<br />

future participation in the industry. Specifically, the objectives are (1)<br />

delineate the organization and behavior <strong>of</strong> firms in the Florida shrimp<br />

processing industry by studying entry and exit, market concentration, product<br />

differentiation, and vertical integration; (2) identify emerging changes and<br />

important trends in procurement, processing activities, and product markets<br />

that will influence the shrimp processing industry in Florida.<br />

Alverson, D.L. and Steven E. Hughes (1997). Bycatch: From Emotion to<br />

Effective Natural Resource Management. In Solving Bycatch,<br />

Considerations for Today and Tomorrow, Alaskan Sea Grant College Program<br />

Report No. 96-03, University <strong>of</strong> Alaska, Fairbanks, Alaska, 322 pp.<br />

Bycatch <strong>of</strong> discards is not a new <strong>fisheries</strong> management problem. Bycatch<br />

has been with us as an integral component <strong>of</strong> fishing since humans began to use<br />

the world seas, lakes, rivers, and streams as sources <strong>of</strong> food. What is new,<br />

however, is the explosive growth <strong>of</strong> bycatch as a major management issue over<br />

the past decade and the formal national and international recognition that<br />

bycatch in many world <strong>fisheries</strong> constitutes important waste and raises<br />

conservation, ecological, and economic issues requiring the priority attention<br />

<strong>of</strong> managers. This paper provides: (1) a cursory review <strong>of</strong> the recent<br />

development <strong>of</strong> bycatch policy, (2) presentation <strong>of</strong> bycatch as a problem in<br />

world <strong>fisheries</strong>, (3) discussion <strong>of</strong> bycatch as a component <strong>of</strong> fishing induced<br />

mortalities with examples <strong>of</strong> graphics and tabular presentations <strong>of</strong> information<br />

on fishery induced mortalities, and (4) refections on issues <strong>of</strong> a<br />

philosophical nature.<br />

Alverson, D.L., M.H. Freeberg, J.G. Pope, and S.A. Murawski (1994). A Global<br />

Assessment <strong>of</strong> Fisheries Bycatch and Discards. FAO Fisheries Technical<br />

Paper, No. 339, Rome, FAO, 233 pp.<br />

An average <strong>of</strong> 27 million tons <strong>of</strong> fish are discarded each year in<br />

commercial <strong>fisheries</strong>. Of four major gear groups, shrimp trawls stand alone at<br />

the top <strong>of</strong> the list. The authors point to inadequate data to determine the<br />

biological, ecological, economic, and cultural impacts <strong>of</strong> discards although<br />

economic losses run to billions <strong>of</strong> dollars. However, it appears most likely<br />

that socio-cultural attitudes towards marine resources will guide<br />

international discard policies. Techniques to reduce bycatch levels including<br />

traditional net selectivity, fishing gear development and time/area<br />

restrictions are discussed. Effort reduction, incentive programmes and<br />

individual transferable quotas (that make the vessel responsible for bycatch<br />

reduction) are seen as promising avenues for the future. However, quick<br />

solutions to the problem are unlikely and much more information is required.<br />

Amemiya, Takeshi, (1974). "Multivariate Regression and Simultaneous<br />

Equation Models when the Dependent Variables are Truncated<br />

Normal." Econometrica, 42(6):999-1012.<br />

This paper extends the single equation regression model with the<br />

truncated dependent variable considered by Tobin and Amemiya to multivariate<br />

and simultaneous equation models and proposes a computationally simple<br />

consistent estimator.<br />

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