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Analysis and Forecast of Labor Immigration to Japan in 2009–2019

In: Challenges and Solutions in the Digital Economy and Finance

Author

Listed:
  • Rinas V. Kashbrasiev

    (Kazan (Volga Region) Federal University)

  • Artur A. Fomin

    (National Research University “Higher School of Economics”)

  • Yuliya S. Valeeva

    (Kazan State Power Engineering University)

  • Ilgiz I. Nurtdinov

    (Kazan State Medical University)

Abstract

The article presents an analysis and forecast of the main categories of migrants arriving in Japan. It is shown that this country, which for a long time differed from most economically developed countries in a small number of immigrants, is nowadays (in conditions of a demographic crisis) on the path of gradual changes in its migration policy towards attracting an increasing number of migrants of different categories. Currently, foreigners in Japan are mostly represented by citizens of the People’s Republic of China, the Republic of Korea, countries of Southeast Asia, as well as people of Japanese origin from Brazil and Peru, who occupy working professions that are unpopular among the Japanese. The result of the study is the identification of the main categories of immigrants, the description of trends in their development for 2009–2019, as well as the forecast of the number of immigrants by their main categories. The use of cluster classification methods for immigration data allowed us to establish the most similar categories of migrants who arrived in Japan in 2009–2019. These are long-term residents, skilled workers, and interns. Based on the simplex method, a map of isolines of the ratios of these categories in the total number of migrants to Japan over the past decade has been compiled.

Suggested Citation

  • Rinas V. Kashbrasiev & Artur A. Fomin & Yuliya S. Valeeva & Ilgiz I. Nurtdinov, 2022. "Analysis and Forecast of Labor Immigration to Japan in 2009–2019," Springer Proceedings in Business and Economics, in: Anna Rumyantseva & Vladimir Plotnikov & Alexey Minin & Hod Anyigba (ed.), Challenges and Solutions in the Digital Economy and Finance, pages 533-549, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-14410-3_55
    DOI: 10.1007/978-3-031-14410-3_55
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