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Production Relationships in South Central Agriculture

Published online by Cambridge University Press:  28 April 2015

Rudolph A. Poison  and
C. Richard Shumway
Rudolph A. Poison
Affiliation:
World Bank in Washington DC
C. Richard Shumway
Affiliation:
Department of Agricultural Economics at Texas A&M University
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Abstract

Output supplies and input demands were estimated for each of five South Central states. The model structure in each state was based on prior parametric tests of homothetic separability, and estimates were generally consistent with a competitive, profit-maximizing industry. Considerable diversity among states was evident in selected production relationships. These results further document the non-uniform ways in which producers respond to government farm programs and market information.

Keywords

competitive behaviorconsistent aggregationoutput supplies

Information

Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 24 , Issue 2 , December 1992 , pp. 121 - 135
Copyright
Copyright © Southern Agricultural Economics Association 1992

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References

Ball, V. E. “Modeling Supply Response in a Multiproduct Framework.” Am. J. Agr. Econ., 70(1988):813–825.CrossRefGoogle Scholar
Clark, J. S., and Youngblood, C. E.. “Estimating Duality Models with Biased Technical Change: A Time Series Approach.” Am. J. Agr. Econ., 74(1992):353–360.CrossRefGoogle Scholar
Evenson, R. “State-Level Data Set for U.S. Agriculture, 1949–1982.” Economic Growth Center, Yale University, 1986.Google Scholar
Houck, J. P., et al. Analyzing the Impacts of Government Programs on Crop Acreage. Washington, DC: USDA ERS Tech. Bull. No. 1548, 1976.Google Scholar
Huffman, W.E., and Evenson, R.E.. “Supply and Demand Functions for Multiproduct U.S. Cash Grain Farms: Biases Caused by Research and Other Policies.” Am. J. Agr. Econ., 71(1989):763–773.CrossRefGoogle Scholar
Lau, L.J. “Applications of Profit Functions.” In Production Econonomics: A Dual Approach to Theory and Applications, edited by Fuss, M. and McFadden, D.. Amsterdam: North-Holland, 1978.Google Scholar
Leathers, H. D. “Allocable Fixed Inputs as a Cause of Joint Production: A Cost Function Approach.” Am. J. Agr. Econ., 73(1991):1083–1090.CrossRefGoogle Scholar
Lim, H. “Profit Maximization, Returns to Scale, Separability, and Measurement Error in State-Level Agricultural Technology.” Ph.D. dissertation, Texas A&M University, 1989.Google Scholar
Mcintosh, C. S. “Specification of Government Policy Variables.” Agr. Econ. Faculty Series 89-61, University of Georgia, 1989.Google Scholar
Mcintosh, C. S., and Shumway, C. R.. “Multiproduct Production Choices and Policy Response.” West. J. Agr. Econ., 16(1991): 291–303.Google Scholar
Miller, S. E., Capps, O., and Wells, G. J.. “Confidence Intervals for Elasticities and Flexibilities from Linear Equations.” Am. J. Agr. Econ., 66(1984):392–396.CrossRefGoogle Scholar
Moschini, G. “Normal Inputs and Joint Production with Allocatable Fixed Factors.” Am. J. Agr. Econ., 71(1989):1021–1024.CrossRefGoogle Scholar
Murtagh, B. A., and Saunders, M. A.. MINOS 5.0 User's Guide. Technical Report No. 83-20, Stanford University, 1983.CrossRefGoogle Scholar
Nelson, C. R., and Kang, H.. “Pitfalls in the Use of Time as an Explanatory Variable in Regression.” J. Bus. and Econ. Stat., 2(1984):73–82.Google Scholar
Ornelas, F. S., Shumway, C. R., and Ozuna, T.. “Functional Form Selection and Dual Profit Functions for U.S. Agriculture.” Paper presented at the annual meeting of the SAEA, Forth Worth, TX, February 1991.Google Scholar
Polson, R. A., and Shumway, C. R.. “Structure of South Central Agricultural Production.” So. J. Agr. Econ., 22(1990):153–163.Google Scholar
Pope, R. D., and Hallam, A.. “Separability in Production Economics.” Am.J.Agr. Econ., 70(1988):142–152.CrossRefGoogle Scholar
Romain, R. F. J. “A Commodity Specific Policy Simulation Model for U. S. Agriculture.” Ph.D. dissertation, Texas A&M University, 1983.Google Scholar
Shumway, C. R. “Supply, Demand, and Technology in a Multiproduct Industry: Texas Field Crops.” Am. J. Agr. Econ., 65(1983):748–760.CrossRefGoogle Scholar
Shumway, C. R., and Alexander, W. P.. “Agricultural Product Supplies and Input Demands: Regional Comparisons.” Am. J. Agr. Econ., 70(1988):154–152.CrossRefGoogle Scholar
Shumway, C. R., Alexander, W. P., and Talpaz, H.. “Texas Field Crops: Estimation with Curvature.” West. J. Agr. Econ., 15(1990):45–54.Google Scholar
Stuth, J. W., and Sheffield, W. J.. “Determining Carrying Capacities for Combinations of Livestock, White-Tailed Deer, and Exoctic Ungulates.” In Proceedings of International Ranchers Roundup, Kerrville, TX, 1986, pp. 241–254.Google Scholar
Talpaz, H., Alexander, W. P., and Shumway, C. R.. “Estimation of Systems of Equations Subject to Curvature Constraints.” J. Stat. Comp. and Sim., 32(1989):201–214.Google Scholar
Taylor, T. G., and Kalaitzandonakes, N.. “A Test of Asset Fixity in Southeastern U.S. Agriculture.” So. J. Agr. Econ., 22(1990):105–111.Google Scholar
Weiss, M.D., Whittington, M. W., and Teigen, L. D.. Weather in U. S. Agriculture: Monthly Temperature and Precipitation by State and Farm Production Region, 1950–1984. Washington, DC: USDA ERS, Statistical Bulletin No. 737, December, 1985.Google Scholar