fasika chekol

This study investigates the factors influencing garlic producers’ market outlet selection decisions in Goncha Siso Enese District, Ethiopia. A total of 359 garlic producer households were polled, and the results were analyzed using a multivariate probit (MVP) model. According to the MVP model results, extension contact, access to market information, quantity of garlic sold, and farm experience in farming were negatively and significantly associated with the choice of consumer outlet. Besides this, the estimated MVP for retailer outlet choice is positively influenced by the amount of quantity sold, and farm experiences in garlic have a significant and positive effect on the choice of retailer outlets. In contrast, education level, access to credit, extension contact, and land area allocated for garlic have a negative influence on the choice of retail outlet. Moreover, wholesaler outlet choice is significantly and positively influenced by education level, access to credit, amount of q...

The aim of the research was to identify and evaluate the main determinants of small-scale biogas technology adoption and its impact on crop yields. The case study is based on cross-sectional data gathered from 335 rural households in Ethiopia's East Gojjam Zone. This study made use of both primary and secondary data. A questionnaire-based survey was used to collect primary data from 197 biogas adopter (treated) and 138 non-adopter (control) households. Propensity score matching (PSM) methods were used to estimate the determinants and impact of biogas technology adoption on cereal crop yields. According to probit model estimates, the main determinants were cattle head, follow-up and support, extension contact, training access, distance to water sources, and distance to the market. Ethiopian agricultural and rural development policies should consider the impact of household biogas technology adoption behavior when developing policy actions under the Agricultural Transformation Plan.

The aim of the research was to identify and evaluate the main determinants of small-scale biogas technology adoption and its impact on crop yields. The case study is based on cross-sectional data gathered from 335 rural households in Ethiopia's East Gojjam Zone. This study made use of both primary and secondary data. A questionnaire-based survey was used to collect primary data from 197 biogas adopter (treated) and 138 non-adopter (control) households. Propensity score matching (PSM) methods were used to estimate the determinants and impact of biogas technology adoption on cereal crop yields. According to probit model estimates, the main determinants were cattle head, follow-up and support, extension contact, training access, distance to water sources, and distance to the market. Ethiopian agricultural and rural development policies should consider the impact of household biogas technology adoption behavior when developing policy actions under the Agricultural Transformation Plan.

The objective of this study was to identify and assess the main determinants of small-scale biogas technology adoption and its effect on crop yields. The case study is based on cross-sectional data collected from 335 rural households in the East Gojjam Zone of Ethiopia. Both primary and secondary data were used for this study. Primary data were collected through a questioner-based survey from 197 biogas adopter (treated) and 138 non-adopter (control) households. The analysis was based on propensity score matching (PSM) methods to estimate the determinants and impact of biogas technology adoption on cereal crop yields. Estimates from the probit model indicate that cattle head, follow-up and support, extension contact, training access, distance to water sources, and distance to the market were the main determinants of the adoption of biogas technology. The comparison between adopters and non-adopters based on PSM reveals that the adopters and users of bio-slurry significantly increase...