Peer Review Report For: “Analyzing the determinants of rural household welfare in Ethiopia: Does agricultural technology adoption matters”: Using seemingly unrelated multi-variate probit model” [version 1; peer review: 2 approved with reservations]

Résumé

Background This study analyzed the nexus between rural household welfare and agricultural technology adoption in Ethiopia using secondary data from the Ethiopian Socioeconomic Survey (ESS). The agricultural sector plays a pivotal role in Ethiopia’s economy, contributing significantly to income, consumption, and employment. This research aims to analyze how adopting agricultural technologies such as improved seeds, fertilizers, and irrigation affects poverty and food insecurity among rural households. The research examined poverty and food insecurity levels in Ethiopia and investigates the impact of adopting agricultural technologies on rural household welfare. Methods We used both Descriptive and econometric methods, in which descriptive analysis has been used to assess poverty and food insecurity levels, and a seemingly unrelated bivariate and multivariate probit model applied to analyze the effect of agricultural technology adoption. Result From descriptive summary, it is noted that out of a total sample of the study, 47.61% (2322 out of 4877) are adopting agricultural technologies in many forms more than 70% of female-headed households are food secured and non-poor and 68% of male-headed households are food secured and nun poor. The findings from regression model indicate that access to irrigation, improved seeds, and fertilizers significantly reduces the likelihood of poverty and food insecurity among rural households. Conclusion Based on these results, policy recommendations include promoting agricultural technologies, enhancing access to credit, investing in agricultural extension services, diversifying livelihoods, improving education, and implementing targeted poverty alleviation programs. Further research is encouraged to explore the reasons behind insignificant variables and to identify additional factors affecting rural household welfare in Ethiopia.

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