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Soil Conservation or Commodity Programs: Trade Offs During the Transition to Dryland Crop Production

Published online by Cambridge University Press:  08 February 2017

John G. Lee
Affiliation:
Department of Agricultural Economics, Purdue University
Ronald D. Lacewell
Affiliation:
Department of Agricultural Economics, Texas A&M University
James W. Richardson
Affiliation:
Department of Agricultural Economics, Texas A&M University

Abstract

Predicted crop yields and wind erosion rates from a multi-year/multi-crop growth simulation model provided input into a multi-period recursive QP model to evaluate erosion implications during the transition to dryland crop production on the Texas Southern High Plains. Three farm-program participation options were considered in this study. Participation in an extension of the current farm program resulted in an increase in net returns and wind erosion rates above nonparticipation. Imposition of a soil loss limit without consideration of a flexible base option can significantly reduce discounted present values. Increasing risk aversion across producers affects crop mix selection which can result in lower per acre wind erosion rates for this particular region.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 1991

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References

Boggess, W.G. and Amerling, C.B.. “A Bioeconomic Simulation Analysis of Irrigation Investments.So. J. Agr. Econ., 5(1983):8592.Google Scholar
Burt, R.O.Farm Level Economics of Soil Conservation in the Palouse Area of the Northwest.A m. J. Agr. Econ., 63(1981):8392.Google Scholar
Ervin, D.E., Heffernan, W.D., and Green, G.P.. “Cross-Compliance for Erosion Control: Anticipated Efficiency and Distributive Impacts.’ Mm. J. Agr. Econ., 66(1984):273278.Google Scholar
Hoag, D.L. and Young, D.L.. Commodity and Conservation Policy Impacts on Risk and Returns.West J. Agr. Econ., 11(1986):211220.Google Scholar
Huszar, P.C.Economics of Reducing Off-Site Cost of Wind Erosion.Land Econ. 65(1989);333340.CrossRefGoogle Scholar
Kramer, R.A., McSweeney, W.T. and Stavros, R.W.. “Soil Conservation and Uncertain Revenues and Input Supplies.Am. J. Agr. Econ., 65(1983):694702.CrossRefGoogle Scholar
Lacewell, R.D. and Lee, J.G.. “Land and Water Management Issues: Texas High Plains.” Water and the Arid Lands of the United States. London: Cambridge U. Press, 1988.Google Scholar
Mapp, H.P., and Eidman, V.R.. “A Bioeconomic Simulation Analysis of Regulating Groundwater Irrigation.Am. J. Agr. Econ., 58(1976):391402.Google Scholar
Meyer, J.Two-Moment Decision Models and Expected Utility Maximization.” Am. Econ. Rev., 77(1987):421430.Google Scholar
Miranowski, J.A.Impacts of Productivity Loss on Crop Production and Management in a Dynamic Economic Model.Am. J. Agr. Econ., 66(1984):6171.Google Scholar
Sandmo, A.On the Theory ofthe Competitive Firm Under Price Uncertainty.” Am. Econ. itev., 61(1971):6573.Google Scholar
Segarra, E., Kramer, R.A. and Taylor, D.B.. “A Stochastic Programming Analysis of the Farm Level Implications of Soil Erosion Control.So. J. Agr. Econ., 17(1985): 147154.Google Scholar
Sonka, S.T., Dixon, B.L. and Jones, B.L.. “Input of Farm Financial Structure on the Credit Reserves of Farm Business.Am. J. Agr. Econ., 62(1980):565570.Google Scholar
Taylor, D.B. and Young, D.L.. “The Influence of Technological Progress on the Long Run Farm Level Economics of Soil Conservation.West J. Agr. Econ., 10(1985): 6376.Google Scholar
Texas Department of Water Resources. “Inventories of Irrigation in Texas 1958, 1964, 1974, 1979 and 1984.” Report 294, August 1986.Google Scholar
U.S. Department of Agriculture. Soil Survey of Dawson County, Texas. Soil Conservation Service. Washington, D.C, 1959.Google Scholar
U.S. Department of Agriculture. Data for Decisions: 1982, National Resources Inventory. Soil Conservation Service. Washington, D.C, 1984.Google Scholar
U.S. Department of Agriculture. Soil and Water Resources Conservation Act: 1980 Appraisal, Part 1. Washington, D.C, March 1981.Google Scholar
Walker, D.J.ADamage Function to Evaluate Erosion Control Economics.” Am. J. Agr. Econ., 64(1982):690698.Google Scholar
Williams, J.R., Renard, K.G. and Dyke, P.T. “EPIC: A New Method for Assessing Erosion's Effect on Soil Productivity.J. Soil and Water Cons., 38(1983):381383.Google Scholar
Zobeck, T.M. and Fryrear, D.W.. “Chemical and Physical Characteristics of Wind Blown Sediment I. Quantities and Physical Characteristics.”. Trans. Am. Soc. Agr. Eng., 29(1986): 10321036.Google Scholar