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Estimating Insecticide Application Frequencies: A Comparison of Geometric and Other Count Data Models

Published online by Cambridge University Press:  28 April 2015

Bryan J. Hubbell
Bryan J. Hubbell*
Affiliation:
Department of Agricultural and Applied Economics, University of Georgia
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Abstract

The number of insecticide applications made by an apple grower to control an insect infestation is modeled as a geometric random variable. Insecticide efficacy, rate per application, month of treatment, and method of application all have significant impacts on the expected number of applications. The number of applications to control a given insect population is dependent on the probability of achieving successful control with a given application. Results suggest that northeastern growers have the highest and mid-Atlantic growers the lowest probability of controlling an infestation with a given application. Results also indicate that scales require the least and moths the most number of applications. Growers are not responsive to per unit insecticide prices, but respond negatively to insecticide toxicity, supporting findings from previous pesticide demand analyses.

Keywords

applescount datageometricinsect controlpesticides
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 29 , Issue 2 , December 1997 , pp. 225 - 242
Copyright
Copyright © Southern Agricultural Economics Association 1998

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