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Poisson Count Models to Explain the Adoption of Agricultural and Natural Resource Management Technologies by Small Farmers in Central American Countries

Published online by Cambridge University Press:  28 April 2015

Octavio A. Ramírez  and
Steven D. Shultz
Octavio A. Ramírez
Affiliation:
Department of Agricultural and Applied Economics, Texas Tech University, Lubbock, Texas
Steven D. Shultz
Affiliation:
Department of Agricultural Economics, North Dakota State University, Fargo, North Dakota
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Abstract

Evaluations of the factors influencing the adoption of agricultural and natural resource management technologies among small farmers in developing countries have been mostly limited to qualitative discussions or simple descriptive statistics resulting in superficial and inconclusive findings. This study introduces the use of Poisson Count Regressions as a statistically appropriate procedure to analyze certain common types of adoption data. It uses them to assess the impact of key socio-economic, bio-physical, and institutional factors on the adoption of integrated pest management, agroforestry, and soil conservation technologies among small farmers in three Central American countries: Costa Rica, Panama, and El Salvador.

Keywords

agroforestryevaluation of development projectsintegrated pest managementpoisson count regressionssoil conservationtechnology adoption
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 32 , Issue 1 , April 2000 , pp. 21 - 33
Copyright
Copyright © Southern Agricultural Economics Association 2000

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