Adoption and intensity use of malt barley technology package by smallholder farmers in Ethiopia: A double hurdle model approach

Ethiopia has an enormous production potential for malted barley due to its ideal agroecology, notably in the central and Bale highlands. However, local production cannot meet the demand for both new and old malt and brewing plants. Millions of dollars have been invested to import malt at the national level. The objective of this study was to investigate the factors that influence smallholder farmers' adoption and level of use of the malt barley technology package. A multistage sampling procedure was employed to choose representative kebeles and households. The study relied on actual data collected from 201 randomly selected barley-producing households. Descriptive statistics and Double Hurdle economic models were used to analyze the data. The descriptive findings show that malt barley varieties and the malt barley technology package were adopted at rates of 0.3 and 0.9, respectively. The Double Hurdle model results reveal that factors such as the household head's age, the total area under cultivation, the availability of information on malt barley production, distance from the main road, participation in the field day program, and membership in the agricultural cooperative all had an effect on smallholder farmers' decisions to adopt and use the malt barley technology package. The recommendation made by this research was to boost farmers' knowledge of malt barley production through training and field trip programs. Organizing smallholder farmers in nearby agricultural cooperatives, as well as ensuring access to roads and public transit for easy access to agricultural inputs and output markets.

Automated summary

Ethiopia has great potential for malted barley production, but cannot meet the demand due to the need for imports. This study explores the factors influencing smallholder farmers' adoption and use of malt barley technology. The findings suggest that factors such as age, cultivation area, information availability, proximity to roads, participation in field day programs, and membership in agricultural cooperatives impact farmers' decisions. Recommendations include increasing farmers' knowledge through training, organizing cooperatives, and improving access to transportation and markets.