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    Mobilities of the Highly Skilled towards Switzerland

    The Role of Intermediaries in Defining “Wanted Immigrants”

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    Author(s)
    Sandoz, Laure
    Language
    English
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    Abstract
    This open access book analyses the strategies of migration intermediaries from the public and private sectors in Switzerland to select, attract, and retain highly skilled migrants who represent value to them. It reveals how state and economic actors define “wanted immigrants” and provide them with privileged access to the Swiss territory and labour market. The analysis draws on an ethnographic study conducted in the French-speaking Lake Geneva area and the German-speaking northwestern region of Switzerland between 2014 and 2018. It shows how institutional actors influence which resources are available to different groups of newcomers by defining and dividing migrants according to constructed social categories that correlate with specific status and privileges. This research thus shifts the focus from an approach that takes the category of highly skilled migrant for granted to one that regards context as crucial for structuring migrants’ characteristics, trajectories, and experiences. Beyond consideration of professional qualifications, the ways decision-makers perceive candidates and shape their resource environments are crucial for constructing them as skilled or unskilled, wanted or unwanted, welcome or unwelcome.
    URI
    http://library.oapen.org/handle/20.500.12657/23040
    Keywords
    Social sciences; Emigration and immigration; Labor economics
    DOI
    10.1007/978-3-030-21122-6
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2019
    Series
    IMISCOE Research Series,
    Classification
    Migration, immigration & emigration
    Labour economics
    Pages
    244
    Rights
    https://creativecommons.org/licenses/by/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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