Hostname: page-component-848d4c4894-tn8tq Total loading time: 0 Render date: 2024-06-24T03:03:16.919Z Has data issue: false hasContentIssue false
  • English
  • Français

Georgia Cotton Acreage Response to the Boll Weevil Eradication Program

Published online by Cambridge University Press:  28 April 2015

Camille M. Tribble ,
Christopher S. Mcintosh  and
Michael E. Wetzstein
Camille M. Tribble
Affiliation:
Department of Agricultural and Resource Economics, University of California, Davis
Christopher S. Mcintosh
Affiliation:
Department of Agricultural Economics and Rural Sociology, University of Idaho.
Michael E. Wetzstein
Affiliation:
Department of Agricultural and Applied Economics, The University of Georgia
Get access Rights & Permissions [Opens in a new window]

Abstract

An adaptive regression model is employed for estimating pre- and post-boll weevil eradication cotton-acreage response. Results indicate cotton acreage becoming more inelastic to own- and cross-price changes. As a result of this shift in acreage response and yield increases from eradication, net producer benefits on average are $88.73 per acre.

Keywords

adaptive regressionpest eradicationproducer surplus
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 31 , Issue 3 , December 1999 , pp. 499 - 506
Copyright
Copyright © Southern Agricultural Economics Association 1999

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

Ahouissoussi, N.B.C., Wetzstein, M.E., and Duffy, P.A.. “Economic Retums to the Boll Weevil Eradication Program.” Journal of Agricultural and Applied Economics 25(1993):46–55.CrossRefGoogle Scholar
Carlson, G.A., Sappie, G., and M. Hammig, . Economic Returns to Boll Weevil Eradication. Agricultural Economic Report Number 621, Economic Research Service USDA September, 1989.Google Scholar
Cooley, T.F. and Prescott, E.C.. “An Adaptive Regression Model.” International Economic Review 14(1973):364–371CrossRefGoogle Scholar
Cooley, T.F. and Prescott, E.C.. “Estimation in the Presence of Stochastic Parameter Variation.” Econometrica 44(1976)167–84.CrossRefGoogle Scholar
Duffy, P.A., Richardson, J.W., and Wohlgenant, M.K.. “Regional Cotton Acreage Rresponse.” Southern Journal of Agricultural Economics 19(1987):99–109.Google Scholar
Judge, G.C., Griffiths, W.E., Hill, R.C., Lütkepohl, H., and T. Lee, . The Theory and Practice of Econometrics. John Wiley and Sons, New York, 1985.Google Scholar
Parrot, S.D. and McIntosh, C.S.. “Nonconstant Price Expectations and Acreage Response: The Case of Cotton Production in Georgia.” Journal of Agricultural and Applied Economics 28(1996):203–210.CrossRefGoogle Scholar
Shumway, C.R. “Supply, Demand, and Technology in a Multiproduct Industry: Texas Field Crops.” American Journal of Agricultural Economics 65(1983):748–760.CrossRefGoogle Scholar
U.S. Department of Agriculture, Commodity Fact Sheet, Upland Cotton. Washington D.C Various issues, 1966–1995.Google Scholar
U.S. Department of Agriculture, Statistical reporting Service. Agricultural Prices. Washington DC: Government Printing Office. Various issues, 1966–1995.Google Scholar
U.S. Department of Agriculture, Statistical reporting Service. Georgia Agricultural Facts. Athens, GA: Georgia Crop Reporting Service. Various issues, 1996–1995.Google Scholar