article · International Journal of Finance & Economics
This study investigated the impact of adopting agricultural technologies on poverty reduction in the north Shewa zone of Ethiopia in 2020. Using a selection model, the research identified that factors such as the sex of the household head, access to credit and savings, extension visits, farm cooperatives, and distance from markets significantly influence a farm household's decision to adopt these technologies. An endogenous switching regression model revealed that households adopting agricultural technologies had higher food consumption expenditure per adult. The findings confirmed that agricultural technology adoption has a direct and significant impact on increasing household consumption expenditure and reducing poverty. The study concluded that improving access to and adoption of agricultural technologies substantially enhances the welfare of farm households.
This research demonstrates a clear link between adopting new farming methods and improving the financial well-being of rural families. It highlights how supporting farmers with access to technology, credit, and information can directly lead to reduced poverty and enhanced food security, which is vital for regional development and stability.
The abstract indicates that increasing access to agricultural technologies improves household welfare. This suggests a need for programmes and policies that facilitate technology dissemination and adoption among smallholder farmers. Potential users include agricultural extension services, microfinance institutions, and government agencies aiming to reduce rural poverty. This is early-stage research informing policy and development programmes rather than a direct commercial product.
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Abstract This study investigates the impact of agricultural technology adoption on poverty reduction in north Shewa zone of Amhara region of Ethiopia in 2020. Using the selection model, this study finds that farm household's decision to adopt agricultural technologies are mainly influenced by sex of the household head, credit access, saving, extension visit, farm cooperatives and distance from market. Using an endogenous switching regression model, this study finds that adopters of agricultural technologies have higher food consumption expenditure per adult. Moreover, the significant difference in food consumption expenditure per adult equivalent between the actual and counterfactual scenario is very high. The result of the study confirmed that adoption of agricultural technology has a direct and significant impact on increasing household's consumption expenditure while also reducing household poverty. The findings of the study suggest that increasing the access and adoptions of agricultural technologies significantly improves the welfare of farm households.
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DOI: 10.1002/ijfe.2479
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