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The Effects of Increasing Flex Acres on Farm Planning and Profitability

Published online by Cambridge University Press:  15 September 2016

Patricia A. Duffy
Affiliation:
Department of Agricultural Economics and Rural Sociology, Auburn University, Alabama
C. Robert Taylor
Affiliation:
Department of Agricultural Economics and Rural Sociology, Auburn University, Alabama

Abstract

Dynamic programming techniques were used to evaluate the effects of alternative levels of normal flex acreage requirements on a Midwestern corn-soybean farm and a Southeastern cotton farm. Results indicate that increasing normal flex acres from the current level of 15 percent to 35 percent would provide inducement for farmers in both regions to plant more soybeans. In general, the cotton farm incurs considerably higher expected losses from the change. Thus, there are unequal regional consequences of such a policy change.

Type
Agricultural, Resource, and Environmental Policies in the 1990s
Copyright
Copyright © 1994 Northeastern Agricultural and Resource Economics Association 

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References

Burden, R.L. and Faires, J.D. Numerical Analysis. Third Edition. Boston: Prindle, Weber, and Schmidt, 1985: 153198.Google Scholar
Cain, D.L.Acreage and Farm Program Participation Decisions Made on Alabama Cotton Farms under the 1990 Farm Bill.” Unpublished M.S. Thesis. Auburn University, 1992.Google Scholar
Duffy, P.A. and Taylor, C.R.Long-Term Planning on a Corn-Soybean Farm: A Dynamic Programming Approach.” Agricultural Systems. 42 (1993): 5771.Google Scholar
Duffy, Patricia A. and Taylor, C. RobertThe Effects of Uncertainty about the Future of Farm Programs on a Corn-Soybean Farm.” American Journal of Agricultural Economics. 76(February, 1994): 141152.Google Scholar
Duffy, Patricia A., Taylor, C. Robert, Cain, Danny L., and Young, George J.The Economic Value of Farm Program Base.” Land Economics. 70(August, 1994). Forthcoming.Google Scholar
Herriges, J.A., Barickman, N.E., and Shogren, J.F.The Implicit Value of Corn Base Acreage.” American Journal of Agricultural Economics. 74(February, 1992): 5058.Google Scholar
Kramer, R.A. and Pope, R.P.Participation in Farm Commodity Programs: A Stochastic Dominance Analysis.” American Journal of Agricultural Economics, 63(February, 1981): 119–28.Google Scholar
Mercier, S. Corn: Background for 1990 Farm Legislation. Staff Report No. 89–47. ERS-USDA. Washington, D.C., September, 1989.Google Scholar
Mims, A.M., Duffy, P.A., and Young, G.Effects of Alternative Acreage Restriction Provisions on Alabama Cotton Farms.” Southern Journal of Agricultural Economics. 21, 2 (1989): 8594.Google Scholar
Musser, W.N. and Stamoulis, K.G.Evaluating the Food and Agriculture Act of 1977 with Firm Quadratic Risk Programming.” American Journal of Agricultural Economics, 63(August, 1981): 448–56.Google Scholar
Persaud, T. and Mapp, H.P. Jr.Analysis of Alternative Production and Marketing Strategies in Southwestern Oklahoma: A MOTAD Approach.” Risk Analysis in Agriculture: Research and Educational Development. Department of Agricultural Economics, AE-4492, University of Illinois, June, 1980.Google Scholar
Scott, J.T. Jr. and Baker, C.B.A Practical Way to Select an Optimal Farm Plan under Risk.” American Journal of Agricultural Economics, 54(November, 1972): 657–60.Google Scholar
United States Department of Agriculture. Economic Indicators of the Farm Sector, Costs of Production—Major Field Crops, 1989. USDA-ERS., Washington, D.C. Google Scholar