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Future Structure of the Texas Cattle Feeding Industry as Projected by Transition Probabilities Utilizing a Convex Program

Published online by Cambridge University Press:  28 April 2015

Ernest E. Davis*
Affiliation:
Department of Agricultural Economics and Rural Sociology, Texas A&M University

Extract

Cattle feeding in Texas has been characterized in the last decade by large increases in cattle marketings and rapid expansion of the number of feedlots with capacities1 greater than 1,000 head [3]. To illustrate this dynamic growth, Texas fed cattle marketings increased by 1,950,000 head from 1962 to 1969 and more than doubled its relative proportion of the total marketed cattle from the twenty-two major feeding states [13]. During the same seven-year period, Texas cattle feedlots with capacities over 1,000 head increased from 120 to 300 [13, 14].

Type
Research Article
Copyright
Copyright © Southern Agricultural Economics Association 1971

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References

1.Adelman, I. G., “A Stochastic Analysis of the Size Distribution of Firms,” J. Am. Sta. Assoc., Vol. 53, pp. 893904, Dec. 1958.CrossRefGoogle Scholar
2.Dietrich, Raymond A., Cost and Economies of Size in Texas-Oklahoma Cattle Feedlot Operations, Texas Agr. Exp. Sta. Bul. 1083, Texas A&M University, May 1969.Google Scholar
3.Dietrich, Raymond A., The Texas-Oklahoma Cattle Feeding Industry Structure and Operational Characteristics, Texas Agr. Exp. Sta. Bul. 1079, Texas A&M University, Dec. 1968.Google Scholar
4.Farris, Paul L. and Padberg, Daniel I., “Measures of Market Structure Change in the Florida Fresh Citrus Packing Industry,” Agr. Econ. Res., Vol. 16, pp. 93102, Oct. 1964.Google Scholar
5.Judge, G. G. and Swanson, E. R., Markov Chains: Basic Concepts and Suggested Uses in Agricultural Economics, Dept. Agr. Econ. AERR-49, University of Illinois, Dec. 1961.Google Scholar
6.Kemeny, John G., Snell, J. Laurie, and Thompson, Gerald L., Introduction to Finite Mathematics, Second ed., Englewood Cliffs, N. J., Prentice-Hall, Inc., 1966.Google Scholar
7.Krenz, Ronald D., “Projection of Farm Numbers for North Dakota with Markov Chains,” Agr. Econ. Res., Vol. 16, pp. 7783, July 1964.Google Scholar
8.Lee, T. C, Judge, G. G., and Takayama, T., “On Estimating the Transition Probabilities of a Markov Process,” J. Farm Econ., Vol. 47, pp. 742762, Aug. 1965.CrossRefGoogle Scholar
9.Padberg, Daniel I., “The Use of Markov Process in Measuring Changes in Market Structure,” J. Farm Econ., Vol. 44, pp. 189199, Feb. 1962.CrossRefGoogle Scholar
10.Snedecor, George W. and Cochran, William G., Statistical Methods, Sixth ed., Ames, Iowa, Iowa State University Press, 1967.Google Scholar
11.Solow, R., “Some Long-Run Aspects of the Distribution of Wage Incomes,” Econometrica, pp. 333334, July 1951.Google Scholar
12.Telser, Lester G., “Least-Squares Estimates of Transition Probabilities,” Measurement in Economics, pp. 270292, Stanford University Press, 1963.Google Scholar
13.U. S. Department of Agriculture, Cattle on Feed, Crop Reporting Board, Statistical Reporting Service, selected issues.Google Scholar
14.U. S. Department of Agriculture, Texas Cattle on Feed, Crop Reporting Board, Statistical Reporting Service, selected issues.Google Scholar
15.Williams, Ed, “The Influence of Feed/Cattle Price Relationships on the Optimum Location of Cattle Feeding Systems in Texas,” unpublished thesis, Texas A&M University, 1970.Google Scholar