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The rising numbers of immigrants from developing countries during the past decades is the most important economic issues facing the countries of the world. Understanding the underlying motives behind the phenomenon of international migration is a prerequisite for making informed political decisions. Therefore, this study aims to investigate the determinants of individuals ‘migration from lowand middle-income developing countries to high income countries; (Canada, France, Germany, Britain, USA), using Unbalanced Panel Data For the period of . The study used the utility function through the push and pull factors of international migration, by applying standard analysis to the extended gravity model for a number of developing countries. using negative binomial regression; this is considered as the most appropriate to estimate the relationship between the number of immigrants as a dependent variable and other explanatory variables in this study. The results of the study showed that the level of per capita income is the most important economic determinant. In ddition to the presence of former immigrants from the same immigrant country in the destination countries.
Laila Touhami Morghem. 2020. \u201cApplying Gravity Model to Analyze Determinants of International Migration from Developing Countries\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 20 (GJHSS Volume 20 Issue E6): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 101
Country: Libya
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Laila Touhami Morghem (PhD/Dr. count: 0)
View Count (all-time): 152
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Publish Date: 2020 08, Wed
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The rising numbers of immigrants from developing countries during the past decades is the most important economic issues facing the countries of the world. Understanding the underlying motives behind the phenomenon of international migration is a prerequisite for making informed political decisions. Therefore, this study aims to investigate the determinants of individuals ‘migration from lowand middle-income developing countries to high income countries; (Canada, France, Germany, Britain, USA), using Unbalanced Panel Data For the period of . The study used the utility function through the push and pull factors of international migration, by applying standard analysis to the extended gravity model for a number of developing countries. using negative binomial regression; this is considered as the most appropriate to estimate the relationship between the number of immigrants as a dependent variable and other explanatory variables in this study. The results of the study showed that the level of per capita income is the most important economic determinant. In ddition to the presence of former immigrants from the same immigrant country in the destination countries.
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