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One way of fostering smallholder farmers’ agricultural productivity is through encouraging agricultural technology adoptions. However, agricultural technology adoption remains very low in Ethiopia. As a consequence, many studies have been researched why agricultural technology adoption remained low. Nonetheless, a handful information is available on aggregate factors influencing agricultural technology adoption in Ethiopia. Therefore, very little is known about the common factors affecting agricultural technology adoption in Ethiopia. Hence, this meta-analysis was aimed to quantify the determinants of agricultural technology adoption from adoption literature. Based on a comprehensive and systematic search strategy, and inclusion and exclusion criterion, 12 studies conducted between 2010 and 2018 were included in this meta-analysis. Random effect model was used to identify the determinants of agricultural technology adoption in Ethiopia. Results of random effect model confirmed that age of the household head, education level, farm size, livestock holding, access to extension services, access to credit services, cooperative membership and distance from the market were significantly associated with agricultural technology adoption. Therefore, policy makers and other stakeholders should focus on common variables found to affect agricultural technology adoption in designing policies that encourage agricultural technology adoption in Ethiopia.
Bekele Wegi Feyisa (Wed,) studied this question.