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A Principal-Agent Model for Regional Pest Control Adoption

Published online by Cambridge University Press:  28 April 2015

Nicolas B. C. Ahouissoussi*
Affiliation:
Department of Agricultural and Applied Economics, University of Georgia, Athens, Georgia

Abstract

Investigating the underlying producer characteristics associated with regional pest control adoption revealed an interesting proposition. Early adopting producers of firm-specific techniques with characteristics including higher education, more specialized operations, and larger sized business units are dissatisfied with a regional pest control technique. This study provides an explanation of the proposition based on a principal-agent model. Empirical support for the proposition is also presented by developing a multinomial logit model for predicting producers' dissatisfaction with boll weevil eradication.

Type
Winning Graduate Student Paper
Copyright
Copyright © Southern Agricultural Economics Association 1995

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References

Ahouissoussi, N., Wetzstein, M., and Duffy, P.. “Economic Retums to the Boll Weevil Eradication Program.Journal of Agricultural and Applied Economics. 25(1993):4655.CrossRefGoogle Scholar
Batte, M., Jones, E., and Schnitkey, G.. “Computer Use by Ohio Commercial Farmers.American Journal of Agricultural Economics. 72(1990):935945.CrossRefGoogle Scholar
Burrows, T.Pesticide Demand and Integrated Pest Management: A Limited Dependent Variable Analysis.American Journal of Agricultural Economics. 65(1983):906610.CrossRefGoogle Scholar
Carlson, G.A., Sappie, G. and Hammig, M.. Economic Returns to Boll Weevil Eradication. Agricultural Economic Report Number 621, Economic Research Service USDA September, 1989.Google Scholar
Carlson, G.A. and Suguiyama, L.. An Economic Evaluation of Area-Wide Cotton Insect Management: Boll Weevils in the Southeastern United States. North Carolina Agricultural Research Service Bulletin Number 473, Raleigh, North Carolina, 1985.Google Scholar
Dinar, A. and Yaron, D.. “Influence of Quality and Scarcity of Inputs on the Adoption of Modern Irrigation Technologies.Western Journal of Agricultural Economics. 15(1990):224233.Google Scholar
Lambert, W.The Southeastern Boll Weevil Eradication Program: Extension Perspective.” Paper presented at the 1991 Beltwide Cotton Conference in San Antonio, Texas.Google Scholar
Maddala, G.Limited-Dependent and Qualitative Variables in Econometrics. Cambridge: Cambridge University Press, 1983.CrossRefGoogle Scholar
McFadden, D.Conditional Logit Analysis of Qualitative Choice Behavior,” in Zarembka, P., ed., Frontiers in Econometrics, Academic, New York, (1974)105142.Google Scholar
McPherson, R. and Douce, G.. Summary of Losses from Insect Damage and Costs of Control in Georgia, 1992. The Georgia Agricultural Experiment Stations, University of Georgia, Special Publication 83, January 1993.Google Scholar
Putler, D. and Zilberman, D.. “Computer Use in Agriculture: Evidence from Tulare County, California.American Journal of Agricultural Economics. 70(1988):790802.CrossRefGoogle Scholar
Rahm, M. and Huffman, W.. “The Adoption of Reduced Tillage: The Role of Human Capital and Other Variables.American Journal of Agricultural Economics. 66(1984):405413.CrossRefGoogle Scholar
Rogers, E.Diffusion of Innovations. New York: Macmillan Publishing C, 1983.Google Scholar
Rook, S. and Carlson, G.. “Participation in Pest Management Groups.American Journal of Agricultural Economics. 67(1985):563566.CrossRefGoogle Scholar
Tiróle, J.The Theory of Industrial Organization. MIT Press, Cambridge, Massachusetts, 1988.Google Scholar
Varían, H.Microeconomic Analysis. Third Edition. W.W. Norton and Co. New York, New York, 1992.Google Scholar