Return to Mexico: what influences Mexican migrants’ return decisions?

Lorena Guzman Elizalde // Geography // Wednesday 8th March 2017 // 1-2pm // Arts C 133


Despite return migration being an important aspect in the US-Mexican migration flow it has been largely under studied, especially when it comes to migrants’ post-return experiences. My PhD research aims to highlight the intersections between types of return and (re)integration, focusing on the central factors that shape (re)integration, the multidimensionality of this process, and the key elements that can contribute (or not) to migrants’ wellbeing upon return. In this talk, I will present a general background of my research, followed by some thoughts on what motivates migrants’ return decisions and how pre-return experiences, personal characteristics and geographies, affect such experience. I will illustrate this through narratives of migrants coming back from the United States to two different locations in Mexico: Huaquechula, Puebla and Mexico City.


Lorena Guzman is a fourth year PhD student in Migration Studies. She has worked for more than ten years delivering psychosocial services for asylum seekers, migrants and refugees and doing research related to migrants’ local integration and psychosocial wellbeing. Lorena has also collaborated with a number of nongovernmental organisations and research institutions in Mexico and internationally. She holds a BA in Psychology and an MA in Migration, Mental Health and Social Care from the University of Kent in the UK.

This entry was posted in Geography, Uncategorized and tagged , , , , . Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s