IDEAS home Printed from https://ideas.repec.org/a/spr/rrorus/v15y2025i1d10.1134_s2079970525600106.html
   My bibliography  Save this article

Motivational Drivers of Population Migration (on the Example of Young People in the Arctic Zone of Russia)

Author

Listed:
  • I. S. Stepus

    (Petrozavodsk State University)

  • A. O. Averyanov

    (Petrozavodsk State University)

  • E. A. Khoteeva

    (Petrozavodsk State University)

  • A. V. Simakova

    (Petrozavodsk State University)

  • S. V. Shabaeva

    (OOO Opti-Soft)

Abstract

The article presents an approach to studying the determination of migration processes, based on the sociopsychological essence of this phenomenon. The authors propose considering the activity of migration actions as a result of the interaction of environmental factors and individual personality traits based on the integrated concept of the motivational driver of migration. To identify motivational drivers of migration, a step-by-step methodology has been developed that can determine combinations of external factors and personality traits that most strongly correlate with migration activity. The methodology includes the use of such statistical methods as factor analysis, regression analysis, the chi-square test of independence, cluster analysis, and decision trees. The methodology was tested using the example of priority geostrategic territories of the Arctic Zone of Russia for a cohort of young people from the population. The empirical basis of the study was the results of a survey of 8600 people aged 16–35 years living in the Arctic territories of nine federal subjects of the Russian Arctic. The study identified ten motivational drivers of out-migration of young people from the Arctic regions, grouped into four types of factors: professional development, education, climate and ecology, and social connections. The structural components of motivational drivers are indicated and are meaningfully interpreted. The results of the study enrich the existing tools for studying migration processes, since they make it possible to analyze the complex configuration of the motivational driver of migration, which consists of a combination of environmental conditions and personality traits that have a nonlinear combined effect on the decision to migrate. Identifying the motivational drivers of migration has practical significance in adjusting the socioeconomic and migration policies implemented in the region.

Suggested Citation

  • I. S. Stepus & A. O. Averyanov & E. A. Khoteeva & A. V. Simakova & S. V. Shabaeva, 2025. "Motivational Drivers of Population Migration (on the Example of Young People in the Arctic Zone of Russia)," Regional Research of Russia, Springer, vol. 15(1), pages 70-80, March.
  • Handle: RePEc:spr:rrorus:v:15:y:2025:i:1:d:10.1134_s2079970525600106
    DOI: 10.1134/S2079970525600106
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S2079970525600106
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S2079970525600106?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Li Wang & Jixia Huang & Hongyan Cai & Hengzi Liu & Jinmei Lu & Linsheng Yang, 2019. "A Study of the Socioeconomic Factors Influencing Migration in Russia," Sustainability, MDPI, vol. 11(6), pages 1-14, March.
    2. L. B. Karachurina & N. V. Mkrtchyan & M. S. Savoskul, 2022. "New Data on Population Migration in Russia: a Challenge for Researchers?," Regional Research of Russia, Springer, vol. 12(1), pages 51-66, March.
    3. I. S. Stepus & V. A. Gurtov & A. O. Averyanov, 2022. "Population Migration for the Development of the Russian Arctic: Features and Capabilities," Regional Research of Russia, Springer, vol. 12(4), pages 483-494, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiangyu Dong & Mengge Du & Shichen Zhao, 2025. "Drivers of Population Dynamics in High-Altitude Counties of Sichuan Province, China," Sustainability, MDPI, vol. 17(15), pages 1-25, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Elena Vakulenko, 2019. "Motives for internal migration in Russia: what has changed in recent years?," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 113-138.
    2. Elena Batunova & Giovanni Perucca, 2020. "Population shrinkage and economic growth in Russian regions 1998–2012," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(4), pages 595-609, August.
    3. R. A. Babkin & A. G. Makhrova & D. M. Medvednikova, 2024. "Foreign Migrants in the Moscow Agglomeration: Spatio-Temporal Analysis Based on Mobile Network Operator Data," Regional Research of Russia, Springer, vol. 14(3), pages 420-430, September.
    4. Amina Chanysheva & Pierre Kopp & Natalia Romasheva & Anni Nikulina, 2021. "Migration Attractiveness as a Factor in the Development of the Russian Arctic Mineral Resource Potential," Resources, MDPI, vol. 10(6), pages 1-25, June.
    5. Elena Bogdanova & Konstantin Filant & Ekaterina Sukhova & Maria Zabolotnikova & Praskovia Filant & Dele Raheem & Olga Shaduyko & Sergei Andronov & Andrey Lobanov, 2022. "The Impact of Environmental and Anthropogenic Factors on the Migration of the Rural Arctic Population of Western Siberia," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    6. Li, Baoxi & Cheng, Shixiong & Xiao, De, 2020. "The impacts of environmental pollution and brain drain on income inequality," China Economic Review, Elsevier, vol. 62(C).
    7. Zhao, Pengjun & Zeng, Liangen & Li, Peilin & Lu, Haiyan & Hu, Haoyu & Li, Chengming & Zheng, Mengyuan & Li, Haitao & Yu, Zhao & Yuan, Dandan & Xie, Jinxin & Huang, Qi & Qi, Yuting, 2022. "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, Elsevier, vol. 238(PC).
    8. A. D. Volkov & S. V. Tishkov & V. V. Karginova-Gubinova & N. G. Kolesnikov, 2023. "Environmental Well-Being of the Russian Arctic Regions: Official Data and Population Estimates," Regional Research of Russia, Springer, vol. 13(1), pages 141-155, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:rrorus:v:15:y:2025:i:1:d:10.1134_s2079970525600106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.