Vol. 114 No. 1 (2020)
Research Papers

Drivers of Farm-level Adoption of Crop Extension Packages in Ethiopia

admin Tefera
Hawassa University, School of Environment, Gender and Development Studies, Ethiopia
Eyasu Elias
Addis Ababa University, Centre for Environmental Studies, Ethiopia
Irene Koomen
Wageningen University & Research, Wageningen Centre for Development Innovation, The Netherlands
Eritrean Western Lowland: Baobab woodland, 1927. Photographic Archive of the former Istituto Agronomico per l'Oltre
Published July 30, 2020
How to Cite
Tefera, admin, Elias, E., & Koomen, I. (2020). Drivers of Farm-level Adoption of Crop Extension Packages in Ethiopia. Journal of Agriculture and Environment for International Development (JAEID), 114(1), 5-32. https://doi.org/10.12895/jaeid.20201.749


Smallholder farmers’ adoption of agricultural technologies varies to a great degree with respect to spatial diversity, household related characteristics, access to infrastructure and institutional design. This cross-sectional study was conducted in order to understand the factors affecting the uptake agricultural technologies in the highlands of Ethiopia. Analysis was conducted on data collected in 2014 from a survey of 2,880 households in four major regions of the country covering 30 districts. Econometric method (two-limit Tobit model) was used to analyse determinants of farm-level adoption of crop technology packages promoted by the national agricultural extension service. Findings reveal that 71%, 66%, 60%, 52%, 46% and 29% of the sample households adopted recommended technology packages for potato, wheat, maize, tef, barley, and sorghum respectively. Results demonstrate that agro-ecology and spatial variability, distance from homestead to farm plots, slope index of the farm, access to extension services, access to credit, lagged gross annual income and membership to a cooperatives were all significant factors influencing technology adoption. The study shows there is significant variation in technology adoption between model farmers and non-model farmers. However, the productivity difference is limited to few crops. The findings suggest that investment in infrastructure, promoting access to institutional services and access to credit are instrumental to technology adoption by smallholders. The extension strategy should therefore promote inclusive strategy in which both model and non-model farmers have equal access to technology supply and extension services.