Abstract
This research aimed to critically analyze the determinants of technology adoption and the use intensity by small farm households in the study area (Masha District). Six kebeles were randomly selected from the district, and 251 sample households were proportionally and randomly identified from the selected kebeles. The data collected from the sample households have been analyzed using both descriptive as well as inferential analysis. For inferential analysis, the Double Hurdle Model was adopted to estimate the technology adoption decision as well as use intensity of small farm households in the study area. The findings show that technology adoption decisions were associated with household-specific characteristics such as sex, education, extension, and family size, increasing the likelihood of technology adoption. In contrast, the age of the household head has a negative contribution to it. On the other hand, institutional factors such as access to extension service and access to credit facilities have a significant impact where the latter has contributed negatively to the farmers’ decision regarding technology adoption.
Highlights
The African Union report recognized that there had been little improvement in agricultural production and factor productivity in Africa (New Partnership for Africa’s Development, 2014)
Though Agricultural growth in Africa is generally achieved by land-intensive production and by mobilizing a larger agricultural labor force, the two production factors remain stagnant in terms of productivity
The country has continued to import food items from the rest of the world, though 80 percent of the labor force has been engaging in the sector, Descriptive analysis As shown from Table 2, out of 251 sampled farm households, 166 individuals are agricultural technology adopters, and the remaining 85 individuals are non-users
Summary
The African Union report recognized that there had been little improvement in agricultural production and factor productivity in Africa (New Partnership for Africa’s Development, 2014). Though Agricultural growth in Africa is generally achieved by land-intensive production and by mobilizing a larger agricultural labor force, the two production factors (labor and land) remain stagnant in terms of productivity. In the last three decades, Africa’s population has doubled, which implies the continent has more mouths to feed and less per-capita land to cultivate. Agricultural output has been unable to keep growing side by side. It resulted in food self-insufficiency, which puts the continent into a net importer of cereals from the rest of the world
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