Hostname: page-component-76fb5796d-45l2p Total loading time: 0 Render date: 2024-04-30T06:29:09.967Z Has data issue: false hasContentIssue false

A Strategic Agricultural Production Model with Risk and Return Considerations

Published online by Cambridge University Press:  15 September 2016

Rhonda L. Aull-Hyde
Affiliation:
Department of Food and Resource Economics/Operations Research, University of Delaware
Solomon Tadesse
Affiliation:
Department of Finance, University of Maryland
Get access

Abstract

Decision support systems are generally geared to short-term tactical decision making. As an alternative, this paper develops a mathematical programming model to evaluate long-term strategic alternatives in the context of farm-level agricultural production where a broiler farm considers long-term implications of diversification into commercial aquaculture. The model considers a ten-year strategic planning horizon, incorporates financial risk and return considerations, and accommodates capacity variations. Results indicate that a diversification strategy significantly increases farm profitability over a strategic planning horizon while simultaneously maintaining financial risk below a predetermined tolerance level and return on investment above a predetermined level.

Type
Articles
Copyright
Copyright © 1994 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adam, E. and Swamidass, P.M.Assessing Operations Management from a Strategic Perspective.” Journal of Management 15 (1989): 181203.Google Scholar
Alsagoff, K.S.A., Clonts, H.A. and Jolly, C.M.An Integrated Poultry, Multi-species Aquaculture for Malaysian Rice Farmers: A Mixed Integer Programming Approach.” Agricultural Systems. London: Elsevier, 1990.Google Scholar
Barry, P.J. Risk Management in Agriculture. Ames, Iowa: Iowa State University Press. 1984.Google Scholar
Gempesaw, C.M. and Bacon, J.R.Broilers and Aquaculture: A Case of Agricultural Output Diversification.” Journal of the American Society of Farm Managers and Rural Appraisers 57 (1993): 1826.Google Scholar
Gempesaw, C.M., Wirth, F., Bacon, J.R. and Vaughn, G. The Economics of Integration Versus Specialization: The Case of Hybrid-Striped Bass Pond Culture. Delaware Agricultural Experiment Station Bulletin no. 492, Department of Food and Resource Economics, University of Delaware, 1991.Google Scholar
Helfert, A.E. Techniques of Financial Analysis. Homewood, IL: Irwin, 1991.Google Scholar
Helms, M.Revitalizing the P/OM Function.” Production and Inventory Management 39 (1989): 4648.Google Scholar
Hodson, R., Smith, T., Mcvey, J., Harrel, R. and Davis, N. (eds). Hybrid Striped Bass Culture: Status and Perspective. University of North Carolina Sea Grant Publication, UNC-SG-87-03, 1987.Google Scholar
Maryland Department of Agriculture, Maryland Aquaculture Office. Wholesale Market Report, MDA 143, Vol. 1, No. 3.Google Scholar
Sandifer, P.Aquaculture in the West, A Perspective.” Journal of World Aquaculture Society 19 (1988): 7384.Google Scholar
Schroeder, G.Fish Farming in Manure-loaded Ponds: Integrated Agriculture-Aquaculture Systems,” Proceedings of the ICCARM-SEARCA Conference on Integrated Agriculture-Aquaculture Farming Systems, Manila, Philippines, 1979.Google Scholar
Schroeder, G.Integrated Fish Farming: An International Effort.” American Journal of Alternative Agriculture 1 (1980): 127130.CrossRefGoogle Scholar
Taylor, C.G. and Elterich, G.J. A Model Forecasting Delmarva Broiler Prices. Delaware Agricultural Experiment Station Bulletin no. 487, Department of Food and Resource Economics, University of Delaware, 1990.Google Scholar
WEFA Group, U.S. Agriculture and World Trade Long-Term Forecasts and Analysis, Bala Cynwyd, PA, May 1991.Google Scholar
Wilson, B.M., Shaftel, T.L. and Barefield, R.M.Mathematical Programming Approach to Production Decisions in Emerging Aquaculture Industry.” Decision Sciences 22 (1991): 194205.Google Scholar