Determinants of MigrationSouth Africa Using Count Regression Model: the Case of Soro and Misha Districts in SNNPR
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Date
2018-06-03
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Addis Ababa University
Abstract
The labor power migration affects the socioeconomic development of the people in developing countries like Ethiopia. The goal of this study was to explore the determinants that affect the number of migrants per household in Soro and Misha woreda, Hadiya zone and to investigate impacts of migration in the Society which is related to the causes and consequences of labor power migration. To achieve these objectives, both quantitative and qualitative methods were employed, we used mainly primary data and for more information secondary data also were used for particular purpose. Primary information was collected mainly from the households and secondary data was collected from Labour and Social Affairs Bureaus. The data were gathered from randomly selected kebeles from the Soro and Misha District. The tool which was used to gather the primary information was questionnaires and interviews. Total 754 respondent households were selected for survey questionnaire by stratified sampling technique. Descriptive statistical method was employed to analyze quantitative data by using STATA and excel whereas to explore the determinant factors of migration, Count Regression model was applied by using R and STATA software. Among the count models considered, the Zero-Inflated Poisson (ZIP) model was found to be the most appropriate model for analyzing the number of migrants. The ZIP model results indicated that religion, HHH age, HHH education, place of residence, land size, family size, dependency ratio and HHH job occupation are significantly associated with the number of migrants per households. The reveals that lack of job opportunities, family or peer pressure, poverty, and unemployment were identified by this study as the key push factors of migration. On the other hand, job opportunities, better income, social networks and smugglers at destination country were considered as pull factors of migration. Regarding the problem on the journey imprisonment, robbery, lack of food and water, and human trafficking were identified.
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Determinants of Migration, South Africa Using Count Regression Model, Case of Soro, Misha Districts, SNNPR