Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-14T22:08:23.055Z Has data issue: false hasContentIssue false

Economies of Size and Operating Efficiency of Livestock Markets: A Frontier Function Approach

Published online by Cambridge University Press:  10 May 2017

W. H. Lesser
Affiliation:
Cornell University
W. H. Greene
Affiliation:
Cornell University
Get access

Abstract

A cost curve for livestock auction markets was estimated using a frontier function estimator. This estimator has the advantages of consistency and asymptotic efficiency (for certain disturbance specifications). The one-sided residuals satisfy theoretical requirements for cost curves and allow estimates of operational efficiency. Results indicate little size savings above 50,000 LMU, (12 percent of markets in 1976). Estimated operational inefficiencies ranged from 0 to 45 percent. Total technical efficiency (size diseconomies plus operational inefficiencies) are high for some markets and some size groups. Little consolidation is predicted for the industry because the estimated cost of technical inefficiency is small compared to distance related costs (e.g., transport and shrink).

Type
Research Article
Copyright
Copyright © Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

The funding for this study was provided by Hatch Projects NY(C) 141420 and NY(C) 141443 in conjunction with Regional Project NC-117.

References

Aigner, D. J. and Chu, D. S.On Estimating the Industry Production Function.” Am. Econ. Rev. 58(1968): 826839.Google Scholar
Aigner, D. J., Lovell, K. and Schmidt, P.Formulation and Estimation of Stochastic Frontier Production Models.” Jr. Econometrics. 5(1977): 2138.Google Scholar
Buccola, S. T. and Polishuk, L. M.Short Run and Long Run Cost Structures in Livestock Auction Markets: Average Versus Optimal Efficiency.” Paper presented at the NE Ag. Econ. council Annual Meetings, June 18–20, 1979.Google Scholar
French, B. C.The Analysis of Productive Efficiency in Agricultural Marketing Models, Methods, and Progress,” in A Survey of Agricultural Economics Literature. St. Paul: University of Minnesota Press, 1977.Google Scholar
Greene, W. H.Maximum Likelihood Estimation of Econometric Frontier Functions,” J. Econometrics, forthcoming.Google Scholar
Kuehn, J. P. Cost and Efficiencies of Model Livestock Auctions in West Virginia. Bulletin No. 606, West Virginia University Agricultural Experiment Station, December 1971.Google Scholar
Marion, D. Livestock Marketing in New York State, 1953 Part II: Livestock Auction Operations. Cornell University, Dept. Ag. Econ., A.E. 1021, February 1956.Google Scholar
Nerlove, M.Returns to Scale in Electricity Supply.” In Christ, C.F., Ed., Measurement in Economics, Studies in Mathematical Economics and Econometrics in Honor of Yehuda Grunfeld. 1963, Stanford: Stanford University Press.Google Scholar
Scherer, F. M. Industrial Market Structure and Economic Performance. 1970, Chicago: Rand McNally Co.Google Scholar
Schmidt, POn the Statistical Estimation of Parametric Frontier Production Functions.” Rev. Econ. Stat., 58(1975): 238239.Google Scholar
St. Clair, J. S. Marketing Alternatives and Costs for Wyoming Cattle, Univ. Wyoming, Ag. Exp. St., Research Journal No. 108, November 1976.Google Scholar
Stoddard, E. An Economic Analysis of Cost of Service and Value of Service Tariffs in the Livestock Auction Industry, Unpublished Ph.D. dissertation, University of Maryland, 1975.Google Scholar
Wilson, E. M. and Kuehn, J. P. A Cost Analysis of the Livestock Auction Markets in West Virginia. Bulletin No. 600T, West Virginia University Agricultural Experiment Station, April 1971.Google Scholar