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Abstract Using a combination of quantitative and qualitative research approaches, the study aimed to analyze the factors influencing decisions about international labor migration in the North Shewa zone, Eastern Amhara, Ethiopia. The data for the analysis came from 384 samples that were selected using a multi-stage sampling technique. The quantitative analysis included multinomial logistic regression models, while the qualitative data came from focused group discussions and key informant interviews. The results of the multinomial logistic regression model indicated that various factors were either positively or negatively affecting decisions about international migration. The factors that affect international migration decisions positively include local ethnic conflicts for illegal migrants, drought, migrant’s network, family size for illegal migrants and age of household head. The factors that affect international migration decisions negatively include alternative income sources, participation in irrigation, access to credit for legal migrants, land quality, education level of migrants and cultivated land size for legal migrants were found the significant factors for migration decisions at a different significant level. As per the research results the researchers recommended that promoting rural entrepreneurship to have alternative income sources, improving the land quality, increasing irrigation use of farmers to mitigate the effect of drought and ceasing the local ethnic conflicts are the possible solutions for the problem of international labor migration in the study area.
Degfachew et al. (Thu,) studied this question.