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Attitude towards Immigrants in Russia: Regional Aspect

Author

Listed:
  • Olga Anatolyevna Demidova

    (National Research University Higher School of Economics)

Abstract

The paper examines the issues related to the identifying factors that influence the attitude of Russian people towards immigrants. As such factors, we selected the individual characteristics of the respondents (gender, age, educational level, marital status, income level, etc.), as well as indicators characterizing the respondent’s place of residence (region, type of settlement) and the economic situation in the corresponding region. (gross regional product per capita, unemployment rate, share of industries in which migrants are most employed, etc.). The analysis was based on the data of the 7th World Value Survey for Russia in 2017, containing information on 1,810 respondents from 61 Russian regions. With the help of linear regression models and geographically weighted regression was shown that the best attitude towards immigrants demonstrated young people and older generation, respondents with higher education and with average or high-income level. However, attitudes towards immigrants are varying sufficiently and greatly depend on the place of residence. The best attitude towards immigrants demonstrate residents of non-capital cities, as well as residents of the Samara and Saratov regions, the worst – residents of the most poor and most rich regions.Attitude towards immigrants is also improving with an increase in the share of construction and trade in the economy of the region (these industries employ the most immigrants). Local residents are gradually getting used to immigrants, the higher the proportion of migrants who came from abroad, the better the residents of the respective region relate to immigrants

Suggested Citation

  • Olga Anatolyevna Demidova, 2021. "Attitude towards Immigrants in Russia: Regional Aspect," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 3, pages 133-155.
    • Handle: RePEc:far:spaeco:y:2021:i:3:p:133-155
    DOI: https://dx.doi.org/10.14530/se.2021.3.133-155
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    References listed on IDEAS

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    1. Christian Dustmann & Tommaso Frattini & Ian P. Preston, 2013. "The Effect of Immigration along the Distribution of Wages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 145-173.
    2. Olga Demidova, 2014. "How Russian and Ukrainian citizens perceive the role of immigrants in their country: a comparison with European residents," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(1/2), pages 181-206.
    3. Olga Balash & Vladimir Balash & Alexander Harlamov, 2011. "A spatial econometric analysis of the housing market," Applied Econometrics, Russian Academy of National Economy and Public Administration (RANEPA), vol. 22(2), pages 62-77.
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    Keywords

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    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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