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Fortunado’s, Desperado’s and Clandestino’s in Diaspora Labour Markets: The Circular ‘Homo Mobilis’

  • Karima Kourtit
  • Peter Nijkamp
  • Masood Gheasi
Chapter
Part of the Advances in Spatial Science book series (ADVSPATIAL)

Abstract

Demographic developments in our world (e.g., aging processes, changing birth and death rates) are increasingly influenced by migration movements. A rising number of people is ‘on the move’, in search of a better fortune elsewhere. It is noteworthy that nowadays many migration movements do not show anymore stable patterns, but reflect a high degree of dynamics, for instance, in the form of return migration, circular and temporary migration, or chain migration. There is also a great heterogeneity in the motivations of many migrants that may have significant impacts on the migration choice, the destination place, the migrant’s status, and the duration of stay. Consequently, return migration, temporary migration and circular migration have in recent years become important research and policy issues. This note offers a short review of the dilemma’s and assessment issues inherent in the effects of non-structural or temporary migrants (so-called ‘movers’) on host economies. Particular attention will be paid to circular migration policy in Europe as a vehicle to both mitigate temporary tensions on regional labour markets of host economics and to provide a solid base for sustainable growth in the sending countries. Various research and policy challenges are outlined as well.

Notes

Acknowledgement

The authors acknowledge support of the EU ‘Mobile Identities’ project and wish to thank the participants for their support to the publication. Website: http://www.iprs.it/pubblicazione/mobile-identities-background-paper/. This paper is being issued simultaneously as Global Labor Organization (GLO) Discussion Paper No. 39, https://www.econstor.eu/handle/10419/156159.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Karima Kourtit
    • 1
    • 2
    • 3
    • 4
  • Peter Nijkamp
    • 1
    • 2
    • 3
  • Masood Gheasi
    • 5
  1. 1.JADS (Jheronimus Academy of Data Science)’s-HertogenboschThe Netherlands
  2. 2.Adam Mickiewicz UniversityPoznanPoland
  3. 3.Tinbergen InstituteAmsterdamThe Netherlands
  4. 4.Uppsala UniversityUppsalaSweden
  5. 5.VU UniversityAmsterdamThe Netherlands

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