article · Cogent Economics & Finance
Agricultural technology adoption plays a measurable role in enhancing living standards for farming communities in rural Ethiopia. An investigation using survey data from 656 rural farm households across the Amhara regional state evaluated how the uptake of these technologies influences annual food consumption expenditure per adult equivalent. By employing an endogenous switching regression model, the research accounted for potential biases to compare actual outcomes with counterfactual scenarios. The analysis demonstrates that households adopting agricultural technologies achieve significantly higher food consumption expenditures compared to non-adopters. The observed disparity between actual uptake and counterfactual conditions proves substantial. Consequently, expanding investment in agricultural innovations and broadening farmer access to these tools directly improves rural household welfare and living conditions.
Improving rural living standards remains central to economic development and food security across sub-Saharan Africa. By demonstrating a strong positive link between technology uptake and higher food consumption expenditure, this research confirms that farming innovations directly bolster household welfare. These findings offer practical guidance for policymakers, development agencies, and agricultural programmes seeking evidence to justify expanding farm-level access to new technologies.
The findings provide evidence that rural smallholders benefit materially from agricultural innovations, indicating a receptive end-user base for agricultural technology providers and extension programmes. However, because the abstract evaluates technology adoption broadly without detailing specific devices, software, or inputs, it does not indicate an explicit commercialisation pathway or technology readiness level for individual products.
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The purpose of this study is to examine the impact of agricultural technology adoption on household food consumption expenditure in rural Amhara regional state, Ethiopia. The study is based on the data obtained from the Ethiopian Socioeconomic Survey collected in 2015/16. Household-level data were taken from 656 rural farm households in the Amhara region of Ethiopia. The study used the endogenous switching regression model to estimate the impacts of agricultural technology adoption on household food consumption expenditure per adult equivalent per annum. The result of the study reveals that adopting agricultural technology significantly increases household food consumption expenditure per adult equivalent. Moreover, the difference in household food consumption expenditure per adult equivalent between the actual and counterfactual scenarios is very high. The findings of the study reveal that broader investment in agricultural technology and increased access and adoption of agricultural technologies significantly improve the welfare of farm households.
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DOI: 10.1080/23322039.2021.2012988
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