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A Binary Logit Estimation of Factors Affecting Adoption of GPS Guidance Systems by Cotton Producers

Published online by Cambridge University Press:  26 January 2015

Swagata “Ban” Banerjee
Affiliation:
Delta Research and Extension Center, Mississippi State University, Stoneville, MS
Steven W. Martin
Affiliation:
Delta Research and Extension Center, Mississippi State University, Stoneville, MS
Roland K. Roberts
Affiliation:
Department of Agricultural Economics, University of Tennessee, Knoxville, TN
Sherry L. Larkin
Affiliation:
Food and Resource Economics Department, University of Florida, Gainesville, FL
James A. Larson
Affiliation:
Department of Agricultural Economics, University of Tennessee, Knoxville, TN
Kenneth W. Paxton
Affiliation:
Department of Agricultural Economics and Agribusiness, Louisiana State University, Baton Rouge, LA
Burton C. English
Affiliation:
Department of Agricultural Economics, University of Tennessee, Knoxville, TN
Michele C. Marra
Affiliation:
Department of Agricultural and Resource Economics, North Carolina State University, Raleigh, NC
Jeanne M. Reeves
Affiliation:
Cotton Incorporated, Cary, NC

Abstract

Binary logit analysis was used to identify the factors influencing adoption of Global Positioning System (GPS) guidance systems by cotton farmers in 11 Mid-south and Southeastern states. Results indicate that adoption was more likely by those who had already adopted other precision-farming practices and had used computers for farm management. In addition, younger and more affluent farmers were more likely to adopt. Farmers with larger farms and with relatively high yields were also more likely to adopt. Education was not a significant factor in a farmer's decision to adopt GPS guidance systems.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 2008

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