Search results

Given the different manifestations of the unemployment crisis, the main purpose of this study was to identify what characteristics influence the participation of youth in key self-employment business options.

The study has used both probability and nonprobability sampling techniques. Purposive sampling methods were used to identify target study areas (districts and Kebeles) while the systematic random sampling method was used to locate sample respondents. A total of 424 sample respondents were interviewed through interview scheduled questionnaires. Statistical data analysis was carried out using STATA 14 software.

Agriculture, local value-added business activities, food-related services, petty trade and local transportation were common business choices where unemployed youths were engaged in. The findings of the study also showed that sex, loan size, loan repayment period and training gap were predictors of youth engagement in various self-employment career choices.

Increasing loan size has a positive and significant influence on youth engagement in all self-employment business choices and has reminded us the need to revise or lift up loan size celling to assist youths in engaging in productive sectors. Similarly, the favourable correlation between female youths and value-added activities necessitates a well-designed female-specific intervention.

An understanding of the key determinants of youth preference to engage in specific self-employment career choices enables practitioners to intervene where necessary in supporting youth self-employment engagement. A combination of skill training, relaxed loan size and relaxed repayment is likely to gain sustainable business, which would benefit the local economy by transforming small businesses to a higher level and creating more job opportunities.

The outbreak of covid-19 has affected international migration and remittance and has also narrowed down the opportunities for internal labor migrants. The pandemic has also left internal migrants in a threatening situation due to the closure of job opportunities. Taking the migration of labor from the highland toward the sesame production belt into consideration, this study aims to examine the influencing factors of migration to the sesame belt amid covid-19 and ascertain the link between migration and translocal vulnerability.

The study followed a mixed approach that combines quantitative and qualitative methods. However, the quantitative approach tends to dominate due to the nature of the objectives of the study. The study was conducted in the central Gondar zone, using a cross-sectional survey design with a sample size of 150 households collected from January to March, 2021. Both descriptive and econometrics models such as binary logit model have been used.

Based on the study result, we came to understand that migration is part and parcel of the livelihoods of the farm household that accounts for 35% of migration status amid covid-19. Particularly, the study came to conclude that households’ decision to send family members heavily relied on their prior information and fear of transmission of the coronavirus to family members which are statistically significant. As a result, this piece of work can be a good witness for translocal vulnerability where studies are very limited in the area. For this, this study suggests that concerned bodies like social and labor affairs in consultation with the agriculture offices and bureaus at a different level and the investors in the migrant’s destination should facilitate the protection and awareness mechanisms so that the spread of covid-19 can be minimized and thereby both the migrants and the investors can be benefitted from the migrants’ work amid covid-19.

This study tries to connect the current spread of covid-19 with the translocal vulnerability context. Primarily, it empirically argued the translocal vulnerability factor is the main determinant for the farm households to send families’ labor as a livelihood diversification strategy. Very limited studies consider the translocal vulnerability implication of migration; notably to the best of the researchers’ knowledge, studies that linked covid-19 with translocal vulnerability context are scant. On top of that, many studies that link migration with covid-19 tend to be inclined to international migration with very limited attention to internal migration.