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Provedor de dados:  AgEcon
País:  United States
Título:  POISSON COUNT MODELS TO EXPLAIN THE ADOPTION OF AGRICULTURAL AND NATURAL RESOURCE MANAGEMENT TECHNOLOGIES BY SMALL FARMERS IN CENTRAL AMERICAN COUNTRIES
Autores:  Ramirez, Octavio A.
Schultz, Steven D.
Data:  2003-01-22
Ano:  2000
Palavras-chave:  Agroforestry
Evaluation of development projects
Integrated pest management
Poisson count regressions
Soil conservation
Technology adoption
Farm Management
Research and Development/Tech Change/Emerging Technologies
Resumo:  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.
Tipo:  Journal Article
Idioma:  Inglês
Identificador:  6823

http://purl.umn.edu/15400
Editor:  AgEcon Search
Relação:  Journal of Agricultural and Applied Economics>Volume 32, Number 01, April 2000
Formato:  13

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