tncuth of the river lies the virtually unused, out historically 



important, public- ground Bridgeport Natural Bed (4,600 acres). 



Laws, changed to allow dredging instead of hand tonging (1968); 



shell spreading, lifting, and desilting ; predator control in the 



seeding area; grower association expansion; leasing of recently 



unused grounds; widespread and intense spat set in summer 1973 



and other factors suggest a possible industry regrowth. Some 



data are given on such items as catch, yield, and spat-per 



bushel. 



SuDject descriptors: 



Oysters; problems; general description; legal oarriers. 



101 



Charbonneau, Joseph John. 



1974. 



A spatial analysis of selected impacts on the South Atlantic 

 oyster processing industry. 

 Ph.D. Thesis, Univ. Md., 92 pp. 



While the "primary objective of this study is to determine the 

 regional impacts of a shift in the processing cost structure" 

 associated with both pollution abatement and introduction of an 

 automatic shucking machine, some of the results may be of use in 

 evaluations of oyster aquaculture. A simultaneous equations ap- 

 proach was used to estimate supply and demand functions. Income 

 elasticities of demand were in the range -0.297 to +0.389, and 

 were based upon three procedures and 1969 cross-section household 

 survey data for nine regions of the country. 

 Subject descriptors: 

 Oysters; supply; demand analysis; model. 



102 



Costello, Frederick A.; Marsh, Brent L. 



1972. 



Systems engineering of oyster production. 



Univ. Del., Coll. Mar. Studies, Dep. Mech. Aero. Eng . , Pub. no. 



2EN066, Sea Grant GH-109, Rep. no. D£L-SG-5-72, 55 pp. 



An interim report descrining Driefly some aspects of the 



methodological approach used to optimize a system with stochastic 



properties, unknown distribution functions, large numoers of 



variables and equations, and other problems. The application 



discussed is to algae production which is a subsystem process 



that is part of the larger system, production of oysters in a 



closed environment. Algae production costs for a cost-optimized 



American Cyanamid originated process are shown; they form the 



baseline for sensitivity analysis. The results of the 



sensitivity analysis that are shown are based on changing certain 



stochastic variables 10% and 20% from their nominal values. 



Those variables requiring further study are identified in terms 



of their frequency-distribution deviation values (investment or 



initial cost deviation values and amortized annual equivalent 



cost deviation values) . The discussion is technical in setting, 



46 



