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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

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  • Ramirez, Octavio A.
  • Schultz, Steven D.

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.

Suggested Citation

  • Ramirez, Octavio A. & Schultz, Steven D., 2000. "Poisson Count Models To Explain The Adoption Of Agricultural And Natural Resource Management Technologies By Small Farmers In Central American Countries," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(01), pages 1-13, April.
    • Handle: RePEc:ags:joaaec:15400
    DOI: 10.22004/ag.econ.15400
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    1. Lutz, Ernst & Pagiola, Stefano & Reiche, Carlos, 1994. "The Costs and Benefits of Soil Conservation: The Farmers' Viewpoint," The World Bank Research Observer, World Bank, vol. 9(2), pages 273-295, July.
    2. Derek Byerlee & Edith Hesse de Polanco, 1986. "Farmers' Stepwise Adoption of Technological Packages: Evidence from the Mexican Altiplano," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(3), pages 519-527.
    3. Current, Dean & Lutz, Ernst & Scherr, Sara J, 1995. "The Costs and Benefits of Agroforestry to Farmers," The World Bank Research Observer, World Bank, vol. 10(2), pages 151-180, August.
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