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Analysis of Ethnic Homophily in International Trade Using Large-Scale Surname Data

Author

Listed:
  • Joomi Jun

    (The Graduate University for Advanced Studies, SOKENDAI)

  • Takayuki Mizuno

    (The Graduate University for Advanced Studies, SOKENDAI
    National Institute of Informatics)

Abstract

Although previous studies described the role of ethnic factors in international trade, due to the difficulty of estimating the ethnicity of trade entities, such analysis was limited to a few ethnic groups, and the differences in the strength of factors across ethnic groups were not identified. By estimating corporate ethnicity using the large-scale surname data of corporate managers, we quantitatively compare and analyze the dependence of various ethnic groups on ethnicity. Asian and Middle Eastern ethnic groups have strong ethnic homophily. An analysis of ethnic factors in commerce between same-language countries using the gravity model suggests that the effect of ethnicity is significant even when language barriers are removed.

Suggested Citation

  • Joomi Jun & Takayuki Mizuno, 2022. "Analysis of Ethnic Homophily in International Trade Using Large-Scale Surname Data," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 399-415, October.
    • Handle: RePEc:spr:trosos:v:16:y:2022:i:2:d:10.1007_s12626-022-00117-9
    DOI: 10.1007/s12626-022-00117-9
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    References listed on IDEAS

    as
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    Cited by:

    1. Takayuki Mizuno & Takaaki Ohnishi & Ryohei Hisano & Hiroshi Iyetomi & Tsutomu Watanabe, 2022. "Preface of Special Issue on Data Science Questing for a Better Society," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 333-335, October.

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