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Importance, Causes, and Management Responses to Farm Risks: Evidence From Florida and Alabama

Published online by Cambridge University Press:  28 April 2015

William G. Boggess
Affiliation:
Department of Food and Resource Economics, University of Florida
Kwabena A. Anaman
Affiliation:
Department of Food and Resource Economics, University of Florida
Gregory D. Hanson
Affiliation:
Economic Indicators Research and Income Forecasts, Economic Indicators Branch, Economic Research Service, USDA Auburn University

Abstract

Despite the contention that risk and uncertainty play an important role in agriculture in North Florida and South Alabama, very little is known about producers' perceptions of risk. This paper describes the procedures used and the results obtained from a statistically random survey of farmers' perceptions of the importance of various sources of risk and alternative risk management practices. Initially, farmers were asked to define risk and then to rank various sources of risk and management responses to risk based on the relative importance of each to their operation. Summary statistics, Chi-square analyses, and logistic regression techniques were used to analyze the data.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 1985

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References

Anderson, J. R., Dillon, J. L., and Hardaker, B.. Agricultural Decision Analysis. Ames, Iowa: Iowa State University Press, 1977.Google Scholar
Antel, John M.Incorporating Risk into Production Analysis.Amer. J. Agr. Econ., 65,5 (1985):1,0991,106.CrossRefGoogle Scholar
Barry, Peter J.Financing Growth and Adjustment of Farm Firms Under Risk and Inflation: Implications for Micromodeling.” In Baum, K. H..and Schertz, L. P..(eds.), Modeling Farm Decisions for Policy Analysis; Boulder, Colorado: Westview Press; 1983a, pp. 111134.Google Scholar
Barry, Peter J.Perspectives of Risk Management Research: Contributions of Regional Project W-149Risk Management Strategies for Agricultural Production Firms: Perspectives and Research Issues. Department of Agricultural Economics, Oklahoma State University, AE-8350; May, 1983B; pp. 16.Google Scholar
Barry, P. J., Baker, C. B., and Sanint, L. R.. “Farmers' Credit Risks and Liquidity Management.Amer. J. Agr. Econ., 63,2(1981):216227.CrossRefGoogle Scholar
Boggess, W. G. and Amerling, C. B.. “A Bioeconomic Simulation Analysis of Irrigation Investments.So. J. Agr. Econ., 15,2(1983):8592.Google Scholar
Boggess, W. G., Lynn, G. D., Jones, J. W., and Swaney, D. P.. “Risk-Return Assessment of Irrigation Decisions in Humid Regions.So. J. Agr. Econ., 15,1(1983):135144.Google Scholar
Carlson, Gerald A.A Decision Theoretic Approach to Crop Disease Prediciton and Control.Amer. J. Agr. Econ., 52,2(1970):216223.CrossRefGoogle Scholar
Eidman, V. R.Cash Flow, Price Risk, and Production Uncertainty Considerations.” In Baum, K. H. and Schertz, L. P..(eds.), Modeling Farm Decisions for Policy Analysis; Boulder, Farm Credit Administration, Colorado: Westview Press; 1983, pp. 159180.Google Scholar
Farm Credit Administration, Agricultural and Credit Outlook. Washington, D.C.; December, 1983.Google Scholar
Hanson, Gregory D. and Eidman, Vernon R.. “Farm Size Evaluation in the El Paso Valley: Comment.Amer. J. Agr. Econ., 65,2(1983):340343.CrossRefGoogle Scholar
Hanson, G. D., Martin, N. R. Jr., and Flynn, J. B.. “Production, Price and Risk Factors in Channel Catfish Farming.So. J. Agr. Econ., 16,1(1984):173182.Google Scholar
Johnston, J.Econometric Methods. Third Ed., McGraw-Hill Book Company; New York, New York, 1984.Google Scholar
Jolly, R. W.Risk Management in Agricultural Production.Amer. J. Agr., Econ., 65,5(1983):1,1071,113.CrossRefGoogle Scholar
King, R. P. and Robison, L.J., “An Interval Approach to Modeling Decisionmaker Preferences.Amer. J. Agr. Econ., 63,3(1981):510520.CrossRefGoogle Scholar
Lee, L. E. Jr.. “A Perspective on the Evolution and Status of Micromodeling in Agricultural Economics.” In Baum, K. H..and Schern, L. P..(eds.) Modeling Farm Decisions for Policy Analysis. Boulder, Colorado: Westview Press; 1983, pp. 111134.Google Scholar
Love, R. O. and Robison, L. J.. “An Empirical Analysis of the Intertemporal Stability of Risk Preference.So. J. Agr. Econ., 16,1(1984):159166.Google Scholar
Mapp, Harry P. Jr. and Eidman, Vernon R.. “Simulation of Soil Water-Crop Yield Systems: The Potential for Economic Analysis.So. J. Agr. Econ., 7,1(1975):4753.Google Scholar
McCarl, Bruce A. and Nelson, A. Gene. “Model Validation: An Overview with Some Emphasis on Risk Models.Risk Management Strategies for Agricultural Production Firms: Perspectives and Research Issues. Oklahoma State University, Dept. of Agr. Econ. AE-8350; May, 1983, pp. 90106.Google Scholar
Musser, W. N. and Tew, B. V.. “Use of Biophysical Simulation in Production Economics.So. J. Agr. Econ., 16,1(1984):7786.Google Scholar
Patrick, George R., “Producers' Attitudes, Perceptions and Management Responses to Variability.Risk Analysis for Agricultural Production Firms: Concepts, Information Requirements and Policy Issues. Dept. of Agr. Econ., University of Illinois; AE-4574; July, 1984, pp. 197256.Google Scholar
Richardson, James W. and Condra, Gary D.. “Farm Size Evaluation in the El Paso Valley: A Survival/Success Approach.Amer. J. Agr. Econ., 63,3(1981):430437.CrossRefGoogle Scholar
SAS Institute Inc. SAS User's Guide. 1982 Edition. Cary, North Carolina, 1982, pp. 923Google Scholar
Theil, H.Principles of Econometrics. John Wiley and Sons, Inc., New York, 1971.Google Scholar
Weiss, M. D.Risk Concepts in Agriculture: A Closer Look.” Paper presented at annual meeting of the Amer. Assn. of Agr. Econ.; Ithaca, New York; August, 1984.Google Scholar
Wilkerson, G. G., Mishoe, J. W.Jones, W. G. Boggess, and Swaney, D. P.. “Within- Season Decision Making for Pest Control in Soybeans.” Agr. Econ. Paper No. 83-4044; University of Florida, 1983.Google Scholar
Young, D., Lin, W., Pope, R., Robison, L., and Selley, R.. “Risk Preference of Agricultural Producers: Their Measurement and Use.Risk Management in Agriculture: Behavorial Managerial and Policy Issues, AE-4478; University of Illinois, Dept. of Agr. Econ.; July, 1979, pp. 128.Google Scholar