Hostname: page-component-76fb5796d-qxdb6 Total loading time: 0 Render date: 2024-04-26T02:57:56.920Z Has data issue: false hasContentIssue false

Seasonality of Class I Price Differential Estimates for the Southeastern United States

Published online by Cambridge University Press:  12 June 2017

Carlos E. Testuri
Affiliation:
Dairy and Poultry Science Department at the , University of Florida
Richard L. Kilmer
Affiliation:
Food and Resource Economics Department at the, University of Florida
Thomas Spreen
Affiliation:
Food and Resource Economics Department at the, University of Florida
Get access

Abstract

This study provides insight into the seasonality of Class I price differentials in the southeastern dairy industry. This is accomplished by analyzing monthly estimates of Class I price differentials obtained from the imputed price solution or dual solution of a generalized capacitated minimum cost network flow model of the dairy industry. A smooth seasonal pattern emerges through the monthly sequence with the lowest and highest estimated Class I price differentials occurring in April and September respectively. Miami and Jacksonville areas reach $ 5.40 and $ 4.36 per hundredweight in April and $ 6.79 and $ 5.53 per hundredweight in September.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 2001

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.)

References

Babb, E.M., Banker, D.E., Goldman, O., Martella, D.R., and Pratt, J.E. (1977). “Economie Model of Federal Milk Marketing Order Policy Simulator-Model A.” Statistical Report 158. Purdue University. Agricultural Experiment Station.Google Scholar
Bailey, K.W. Marketing and pricing of milk and dairy products in the United States. 1st ed. Ames, IA1: Iowa State University Press, 1997.Google Scholar
Kilmer, R.L., DeLorenzo, M., and Rahmani, M. (1990). “Potential for a Supply and Demand Balance in the Florida Milk Market.” Staff paper 397. University of Florida. Food and Resource Economics Department, November 1990.Google Scholar
Intrilligator, Michael. Mathematical Optimization and Economic Theory. Englewood Cliffs: Prentice-Hall, 1971.Google Scholar
Novakovic, M.A., Babb, B.E., Martella, R.D., and Pratt, E.J. (1980). “An Economic and Mathematical Description of the Dairy Policy Simulator.” Res, A.E. 8021. Cornell University. Agricultural Experiment Station.Google Scholar
Pratt, J.A., Bishop, M.P., Erba, M.E., Novakovic, M.A., and Stephenson, W.M. (1997). “A Description of the Methods and Data Employed in the U.S. Dairy Sector Simulator, Version 97.3.” R.B. 97-09. Cornell University. Department of Agricultural, Resources and Managerial Economics, July 1997. Pratt, E.J., Novakovic, E.M., Bishop, E.M., Erba, E. Erba, , and Alexander, S. C. (1998). “Estimation of Regional Differences in Class I Milk Values across Milk, U.S. Markets.” E.B. 98-01. Cornell University. Department of Agricultural, Resource and Managerial Economics, January 1998.Google Scholar
Pratt, J.E., Novakovic, A.M. Elterich, G.J.. Hahn, D.E. Smith, B.J., and (1986). “An Analysis of the Spatial Organization of the Northeast Industry.” Bulletin 32. Cornell University. Agricultural Experimental Station.Google Scholar
Riley, J.B. and Blakley, V.L. (1976). “Equilibrium Impact of Alternative Pricing Policies and Structural Changes in the Fluid Milk Industry, 1972-1976.” Res, Rept. P-733. Oklahoma State University. Agricultural Experiment Station.Google Scholar
Schiek, W.A, and Babb, L.M. (1989). “Impact of Reverse Osmosis on Florida Milk Markets.” Staff paper 364. Food and Resource Economics Department. Institute of Food and Agricultural Economics. University of Florida, July 1989.Google Scholar
Snodgrass, M., and French, C. (1958). “Linear Programming Approach to the Study of Interregional Competition in Dairying.” S.B. 637. Purdue University. Agricultural Experiment Station.Google Scholar
Takayama, T., and Judge, G.J. (1971). Spatial and temporal price and allocation models. Amsterdam: North-Holland Pub. Co.Google Scholar
Testuri, C. (1999) Seasonality of Class I Price Differentials for the Southeastern United States. MSc thesis.Google Scholar
USDA (1989). “The Federal Milk Marketing Order Program.” MB 27. USDA, Agricultural Marketing Service, January, 1989.Google Scholar
USDA (1996). “Provisions of the Federal Agriculture Improvement and Reform Act of 1996.” Agr. Inf. Bull. 729. USDA. Economic Research Service. Commercial Agriculture Division., September 1996.Google Scholar
USDA (1998). “Federal Milk Order Market Statistics. 1997 Annual Summary.” Stat. bull. 942. USDA. Marketing and Regulatory Programs. Agricultural Marketing Service. Dairy Programs, June 1998.Google Scholar
USDA (1999). “Milk in the New England and Other Marketing Areas: Decision on Proposed Amendments to Marketing Agreements and to Orders.” DA 97-12. USDA, Agricultural and Marketing Service.Google Scholar