International Migration, Gender and Family: A Miroir from Latin America

Author(s):  
Silvia E. Giorguli ◽  
Maria Adela Angoa
2012 ◽  
Vol 9 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Agustín Escobar Latapi

Although the migration – development nexus is widely recognized as a complex one, it is generally thought that there is a relationship between poverty and emigration, and that remittances lessen inequality. On the basis of Latin American and Mexican data, this chapter intends to show that for Mexico, the exchange of migrants for remittances is among the lowest in Latin America, that extreme poor Mexicans don't migrate although the moderately poor do, that remittances have a small, non-significant impact on the most widely used inequality index of all households and a very large one on the inequality index of remittance-receiving households, and finally that, to Mexican households, the opportunity cost of international migration is higher than remittance income. In summary, there is a relationship between poverty and migration (and vice versa), but this relationship is far from linear, and in some respects may be a perverse one for Mexico and for Mexican households.


2018 ◽  
Vol 28 (2) ◽  
pp. 240-257 ◽  
Author(s):  
Jorge Alcaraz ◽  
Elizabeth Salamanca

Purpose The purpose of this study is to identify, based on social network theory, the relationship between the direction of international migration (immigration/emigration) and the international movement of enterprises and their location. Design/methodology/approach A traditional gravity model and the Tobit estimation method are applied to three groups of countries from three different regions: Latin America, North America and the European Union. The study considers a period from 2001 to 2012. Findings The main results suggest that the international migration that goes from the European Union and North America to Latin America is related with the firms’ internationalization and their respective location. Practical implications Given that migration can be an important and reliable source of information, trust and knowledge, managers should see it as a “bridge” between the home and host countries, which, in turn, can increase their competitive advantage. Social implications Governments can learn how migration and outward foreign direct investment interact. In addition, they could develop political frameworks to accurately and effectively manage international migration (immigration and emigration) and FDI in the best interests of the stakeholders. Originality/value This study extends the social network theory by suggesting that networks are not only related with firms’ expansion abroad but as well with their location. This statement could be generalizable as long as emigration/networks (ethnic ties) are considered the links between the home and the host country.


2011 ◽  
Vol 2011 ◽  
pp. 1-18 ◽  
Author(s):  
Douglas S. Massey ◽  
María Aysa-Lastra

We combine data from the Latin American Migration Project and the Mexican Migration Project to estimate models predicting the likelihood of taking of first and later trips to the United States from five nations: Mexico, the Dominican Republic, Costa Rica, Nicaragua, and Peru. The models test specific hypotheses about the effects of social capital on international migration and how these effects vary with respect to contextual factors. Our findings confirm the ubiquity of migrant networks and the universality of social capital effects throughout Latin America. They also reveal how the sizes of these effects are not uniform across settings. Social capital operates more powerfully on first as opposed to later trips and interacts with the cost of migration. In addition, effects are somewhat different when considering individual social capital (measuring strong ties) and community social capital (measuring weak ties). On first trips, the effect of strong ties in promoting migration increases with distance whereas the effect of weak ties decreases with distance. On later trips, the direction of effects for both individual and community social capital is negative for long distances but positive for short distances.


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