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Simulation Modeling to Set Priorities for Research on Oyster Production

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  • Darrell J. Bosch
  • Leonard A. Shabman

Abstract

Private oyster production in Virginia has declined significantly because of factors including losses from MSX (Haplosporidium nelsoni). Increased state and federal funding is being proposed to support research to stimulate oyster productivity. A model of oyster production under uncertainty, including growth, disease, and economic components, is used to aid in setting research priorities. The model shows effects of different types of research information on returns to a representative oyster planting enterprise. Seed harvest technology and accurate knowledge of the salinity threshold at which MSX mortalities occur are found to have greatest promise for increasing profitability of oyster production.

Suggested Citation

  • Darrell J. Bosch & Leonard A. Shabman, 1990. "Simulation Modeling to Set Priorities for Research on Oyster Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 371-381.
    • Handle: RePEc:oup:ajagec:v:72:y:1990:i:2:p:371-381.
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    File URL: http://hdl.handle.net/10.2307/1242340
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    Cited by:

    1. Oriade, Caleb A. & Dillon, Carl R., 1997. "Developments in biophysical and bioeconomic simulation of agricultural systems: a review," Agricultural Economics, Blackwell, vol. 17(1), pages 45-58, October.

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