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Calculating the migration industries knowing the successful expatriate in the Global Mobility Industry.pdf (1.83 MB)

Calculating the migration industries: knowing the successful expatriate in the Global Mobility Industry

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journal contribution
posted on 2017-01-31, 16:24 authored by Sophie CranstonSophie Cranston
This paper argues that we need to pay more theoretical attention to the ways in which migration industries come into being, how they produce a need for themselves within the management of migration processes. Using the example of the Global Mobility Industry, an industry that supports expatriate migration, the paper suggests that we can theorise migration industries as being part of the knowledge economy. It shows how the Global Mobility Industry is produced around the practices of knowing the successful expatriate which work to ‘calculate’ what expatriate migration should look like. In doing so, the paper shows the way in which the calculative practice of compartmentalisation, in producing knowledge about expatriate migration, produce a need for the Global Mobility Industry. This illustrates the importance of widening our understanding of the economy when researching the migration industries.

Funding

This work was supported by the ESRC under Grant ES/I018670/1.

History

School

  • Social Sciences

Department

  • Geography and Environment

Published in

Journal of Ethnic and Migration Studies

Citation

CRANSTON, S., 2017. Calculating the migration industries: knowing the successful expatriate in the Global Mobility Industry. Journal of Ethnic and Migration Studies, 44 (4), pp.626-643.

Publisher

© 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2016-12-13

Publication date

2017

Notes

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

ISSN

1469-9451

Language

  • en