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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)
            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://doab-dev.siscern.org/handle/20.500.12854/176643
            Keywords
            Political Science; Public Policy; Immigration; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies
            DOI
            10.1353/book.100023
            ISBN
            9781438466897
            Publisher
            State University of New York Press
            Publication date and place
            2017
            Grantor
            • Knowledge Unlatched
            Imprint
            SUNY Press
            Series
            SUNY Press Open Access,
            Pages
            218
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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