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    Understanding Immigration

    Issues and Challenges in an Era of Mass Population Movement

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    Author(s)
    Hoskin, Marilyn
    Collection
    Knowledge Unlatched (KU)
    Number
    6348
    Language
    English
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    Abstract
    Based on the dual premise that nations need to learn from how immigration issues are handled in other modern democracies, and that adaptation to a new era of refugee and emigration movements is critical to a stable world, Marilyn Hoskin systematically compares the immigration policies of the United States, Britain, Germany, and France as prime examples of the challenges faced in the twenty-first century. Because immigration is a complex phenomenon, Understanding Immigration provides students with a multidisciplinary framework based on the thesis that a nation's geography, history, economy, and political system define its immigration policy. In the process, it is possible to weigh the influence of such factors as isolation, colonialism, labor imbalances, and tolerance of fringe parties and groups in determining how governments ultimately respond to both routine immigration requests and the more dramatic surges witnessed in both Europe and the United States since 2013.
    URI
    https://library.oapen.org/handle/20.500.12657/53482
    Keywords
    Political Science; Public Policy; Immigration
    DOI
    10.1353/book.100023
    ISBN
    9781438466897
    Publisher
    State University of New York Press
    Publisher website
    http://www.sunypress.edu/
    Publication date and place
    2017
    Grantor
    • Knowledge Unlatched
    Imprint
    SUNY Press
    Series
    SUNY Press Open Access,
    Classification
    Central / national / federal government policies
    Pages
    218
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • Harvested from KU

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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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