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        Swallows and Settlers

        The Great Migration from North China to Manchuria

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        Author(s)
        Gottschang, Thomas R.
        Lary, Diana
        Language
        English
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        Abstract
        Between the 1890s and the Second World War, twenty-five million people traveled from the densely populated North China provinces of Shandong and Hebei to seek employment in the growing economy of China's three northeastern provinces, the area known as Manchuria. This was the greatest population movement in modern Chinese history and ranks among the largest migrations in the world. Swallows and Settlers is the first comprehensive study of that migration. Drawing methods from their respective fields of economics and history, the coauthors focus on both the broad quantitative outlines of the movement and on the decisions and experiences of individual migrants and their families. In readable narrative prose, the book lays out the historical relationship between North China and the Northeast (Manchuria) and concludes with an examination of ongoing population movement between these regions since the founding of the People's Republic in 1949.
        URI
        https://library.oapen.org/handle/20.500.12657/41843
        Keywords
        Sociology and anthropology
        DOI
        10.3998/mpub.22808
        Publisher
        University of Michigan Press
        Publisher website
        https://www.press.umich.edu/
        Publication date and place
        Ann Arbor, 2020
        Grantor
        • National Endowment for the Humanities - [grantnumber unknown]
        • Andrew W. Mellon Foundation - [grantnumber unknown]
        Imprint
        U OF M CENTER FOR CHINESE STUDIES
        Series
        Michigan Monographs In Chinese Studies, 87
        Classification
        Sociology and anthropology
        Pages
        251
        Rights
        https://creativecommons.org/licenses/by-nc-nd/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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