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Economies of Scale in the Floriculture Industry

Published online by Cambridge University Press:  28 April 2015

Sara K. Schumacher  and
Thomas L. Marsh
Sara K. Schumacher
Affiliation:
Department of Agricultural Economics, Kansas State University, Manhattan, KS
Thomas L. Marsh
Affiliation:
Department of Agricultural Economics, Kansas State University, Manhattan, KS
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Abstract

This study investigated the cost structure of the floriculture industry in the United States. Economies of scale and input elasticities were estimated with a normalized quadratic cost function. Results suggest that economies of scale exist in the floriculture industry. As producers become large and more automated, they have a cost advantage relative to smaller producers who are producing the same output product mix. The existence of economies of scale suggests that average grower size can increase in the future as growers increase in size to take advantage of cost efficiencies.

Keywords

dualityeconomies of scalefloriculturenonprice variablesQ12C31D20
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 35 , Issue 3 , December 2003 , pp. 497 - 507
Copyright
Copyright © Southern Agricultural Economics Association 2003

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References

Ashley, R., Granger, D., and Schmalensee, R.. “Advertising and Aggregate Consumption: An Analysis of Causality.” Econometrica 48(July 1980):1149–1167.CrossRefGoogle Scholar
Blackorby, C, and Russell, R.. “Will the Real Elasticity of Substitution Please Stand Up? (A Comparison of the Allen/Uzawa and Morishima Elasticities).” The American Economic Review 48(September 1989):882–888.Google Scholar
Brumfield, R., Nelson, P., Coutu, A., Willits, D., and Sowell, R.. Overhead Cost of Greenhouse Firms Differentiated by Size of Firm and Market Channel. North Carolina Agricultural Research Service, Technical Bulletin No. 269, January 1981.Google Scholar
Chambers, R.Applied Production Analysis A Dual Approach. New York: Cambridge University Press, 1988.Google Scholar
Christensen, R. “Part One: Classifying Costs and Calculating Depreciation.” Florists Review (September 7, 1978a):28, 29, 69–73.Google Scholar
Christensen, R. “Part Two: Process and Enterprise Budgets.” Florists Review (September 14, 1978b):30, 47, 63–68.Google Scholar
Christensen, R. “Part Three: Partial Budgets and Allocation of Heating Costs.” Florists Review (September 21, 1978c):24, 25, 59–63.Google Scholar
Cosgrove, T. “1999 State of the Industry Report.” Greenhouse Product News, 1999.Google Scholar
Diewert, W. “Functional Forms for Profit and Transformation Functions.” Journal of Economic Theory 6(1973):284–316.CrossRefGoogle Scholar
Hodges, A., Satterhwaite, L., and Haydu, J.J.. Business Analysis of Ornamental Plant Nurseries in Florida. University of Florida Cooperative Extension Service Institute of Food and Agricultural Sciences, July 1997.Google Scholar
Kastens, T, and Brester, G.. “Model Selection and Forecasting Ability of Theory-Constrained Food Demand Systems.” American Journal of Agricultural Economics 78(May 1996):301–312.CrossRefGoogle Scholar
Kohli, U.Technology, Duality, and Foreign Trade: The GNP Function Approach to Modeling Imports and Exports. Ann Arbor: The University of Michigan Press, 1991.Google Scholar
Judge, G., Hill, R., Griffiths, W., Lutkepohl, H., and Lee, T.. Introduction to the Theory and Practice of Econometrics. New York: John Wiley and Sons, 1988.CrossRefGoogle Scholar
Lau, L. “Testing and Imposing Monotonicity, Convexity and Quasi-Convexity Constraints.” Production Economics: A Dual Approach to Theory and Applications. Fuss, D.M..and McFadden, D., eds. Amsterdam: North-Holland Publishing Company, 1978.Google Scholar
Mittelhammer, R.C.Mathematical Statistics for Economics and Business. New York: Springer, 1996.CrossRefGoogle Scholar
Ormrod, R.K. “Local Contest and Innovation Diffusion in a Well-Connected World.” Economic Geography 66(April 1990):109–122.CrossRefGoogle Scholar
Shephard, R.Cost and Production Functions. Princeton, NJ: Princeton University Press, 1953.Google Scholar
United States Department of Agriculture (USDA), National Agricultural Statistics Service. Census of Horticultural Specialties. Washington, DC: USDA National Agricultural Statistics Service, 1998.Google Scholar
United States Department of Agriculture (USDA), National Agricultural Statistics Service, Agricultural Statistics Board. Farm Labor. Washington, DC: USDA National Agricultural Statistics Service Pub. Sp Cr 6-1, May 1999.Google Scholar
United States Department of Agriculture (USDA), National Agricultural Statistics Service. Floriculture Crops 2001 Summary. Washington, DC: USDA National Agricultural Statistics Service Pub. Sp Sy 8, April 2002.Google Scholar