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

changes in an important managerial variable rate of water flow, on the
biological and economic productivity of the system.
The conceptual model consists of five interconnected parts including
environmental, production, engineering, marketing, and profit submodels. The
bioeconomic simulation model is coded in FORTRAN to simulate system behavior
with a daily time step on a digital computer.
Results of simulations of a projected penaeid shrimp maricultural
operation along the Texas coast suggest that such an operation would be
marginally economically feasible when based upon the particular assumptions of
this study. Baseline simulations predict a mean annual profit of US $275 per
acre with a standard deviation of US $122 per acre, which represents a 2%
chance of economic loss. The predicted annual return on investment is 4.5%.
The role of modelling in development of shrimp maricultural systems in
the United States is discussed.
Griffin, Wade L., Johannes A.D. Lambregts, M.W. Yates, and A. Garcia
(1993). "The Impact of Aquaculture Pond Engineering Design on the
Returns to Shrimp Farms." Journal of the World Aquaculture
Society, 24(1):23-30.
The effects of a pond design on the internal rate of return of a 40 ha
shrimp farm is evaluated. The influence of four pond construction parameters
(pond size, pond shape, levee crown size, and canal bank slope) on the total
amount of earth moved and construction cost is determined using an engineering
design model. The bioeconomic model, MARSIM, calculates returns to farms with
the design modifications. Of the four parameters, the pond shape is the most
influential over the range considered (from 17% to 8%). Pond size is the
second most important parameter (from 17% to 21%). Levee width and canal bank
slope influence are of lesser importance (