IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0368.html
   My bibliography  Save this article

Modeling of spatial dependence in the migration flows of graduates of the higher education institutions of the Russian Federation

Author

Listed:
  • Antosik, Liubov

    (Volgograd State University, Volgograd, Russian Federation)

  • Ivashina, Natalya

    (Far Eastern Federal University, Vladivostok, Russian Federation)

Abstract

This paper presents the results of modeling the migration processes of university graduates, with the influence of neighboring regions being taken into account. Significant factors of migration of graduates of Russian universities appear to be the higher incomes, GRP per capita and the unemployment rate in the destination region. Using tools of spatial econometrics it was proven that there is a positive spatial autocorrelation by the outflow and influx of graduates between neighboring regions.

Suggested Citation

  • Antosik, Liubov & Ivashina, Natalya, 2019. "Modeling of spatial dependence in the migration flows of graduates of the higher education institutions of the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 54, pages 70-89.
    • Handle: RePEc:ris:apltrx:0368
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2019_54_070-089.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beine, Michel & Noël, Romain & Ragot, Lionel, 2014. "Determinants of the international mobility of students," Economics of Education Review, Elsevier, vol. 41(C), pages 40-54.
    2. Andrei Rogers & Frans Willekens & James Raymer & Jani Little, 2002. "articles: Describing migration spatial structure," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(1), pages 29-48.
    3. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, March.
    4. Daria Ciriaci, 2014. "Does University Quality Influence the Interregional Mobility of Students and Graduates? The Case of Italy," Regional Studies, Taylor & Francis Journals, vol. 48(10), pages 1592-1608, October.
    5. Guriev, Sergei & Vakulenko, Elena, 2015. "Breaking out of poverty traps: Internal migration and interregional convergence in Russia," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 633-649.
    6. Edward Baryla & Douglas Dotterweich, 2001. "Student Migration: Do Significant Factors Vary by Region?," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 269-280.
    7. Tom Wilson, 2010. "Model migration schedules incorporating student migration peaks," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 23(8), pages 191-222.
    8. repec:spo:wpmain:info:hdl:2441/29rpk7q0oq98a9ckfivpgfdvo0 is not listed on IDEAS
    9. James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.
    10. Subrata Ghatak & Alan Mulhern & John Watson, 2008. "Inter‐Regional Migration in Transition Economies: The Case of Poland," Review of Development Economics, Wiley Blackwell, vol. 12(1), pages 209-222, February.
    11. Ivan Etzo, 2011. "The Determinants Of The Recent Interregional Migration Flows In Italy: A Panel Data Analysis," Journal of Regional Science, Wiley Blackwell, vol. 51(5), pages 948-966, December.
    12. repec:hal:spmain:info:hdl:2441/29rpk7q0oq98a9ckfivpgfdvo0 is not listed on IDEAS
    13. Sergei Guriev & Elena Vakulenko, 2015. "Breaking Out of Poverty Traps," SciencePo Working papers Main hal-03392969, HAL.
    14. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, 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. Kseniia A. Borzykh, 2022. "Влияние Характеристик Региональной Системы Высшего Образования На Послевузовскую Миграцию," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 9, pages 52-62, September.
    2. Moskvina, Victoria, 2019. "Modelling interregional mobility of university graduates in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 99-122.
    3. Антосик Л. В. & Ивашина Н. В., 2021. "Факторы И Направления Межрегиональной Миграции Выпускников Вузов В России," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 107-125.
    4. Kseniia A. Borzykh, 2022. "Impact of Higher Education Systems on Graduates’ Interregional Employment Mobility [Влияние Характеристик Региональной Системы Высшего Образования На Послевузовскую Миграцию]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 9, pages 52-62, September.

    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. Sardadvar, Sascha & Vakulenko, Elena, 2020. "Estimating and interpreting internal migration flows in Russia by accounting for network effects," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    2. Ilya Kashnitsky & Nikita Mkrtchyan & Oleg Leshukov, 2016. "Interregional Migration of Youths in Russia: A Comprehensive Analysis of Demographic Statistics," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 169-203.
    3. E. S. Vakulenko, 2016. "Econometric analysis of factors of internal migration in Russia," Regional Research of Russia, Springer, vol. 6(4), pages 344-356, October.
    4. Yingxia Pu & Guangqing Chi & Jin Zhao & Fanhua Kong & Xinyi Zhao, 2019. "A spatial dynamic panel approach to modelling the space-time dynamics of interprovincial migration flows in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(31), pages 913-948.
    5. Vakulenko, Elena, 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.
    6. Andrew J. Cassey & Katherine N. Schmeiser & Andreas Waldkirch, 2016. "Exporting Spatial Externalities," Open Economies Review, Springer, vol. 27(4), pages 697-720, September.
    7. Sascha Sardadvar & Elena Vakulenko, 2017. "A model of interregional migration under the presence of natural resources: theory and evidence from Russia," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 535-569, September.
    8. Sascha Sardadvar & Elena Vakulenko, 2016. "Interregional Migration Within Russia And Its East-West Divide: Evidence From Spatial Panel Regressions," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 28(2), pages 123-141, July.
    9. 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.
    10. Ekaterina Aleksandrova & Kristian Behrens & Maria Kuznetsova, 2020. "Manufacturing (co)agglomeration in a transition country: Evidence from Russia," Journal of Regional Science, Wiley Blackwell, vol. 60(1), pages 88-128, January.
    11. repec:ehl:wpaper:90574 is not listed on IDEAS
    12. Daniel A. Griffith & Manfred M. Fischer, 2016. "Constrained Variants of the Gravity Model and Spatial Dependence: Model Specification and Estimation Issues," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 37-66, Springer.
    13. Beine, Michel & Noël, Romain & Ragot, Lionel, 2014. "Determinants of the international mobility of students," Economics of Education Review, Elsevier, vol. 41(C), pages 40-54.
    14. Tamara Mata & Carlos Llano, 2013. "Social networks and trade of services: modelling interregional flows with spatial and network autocorrelation effects," Journal of Geographical Systems, Springer, vol. 15(3), pages 319-367, July.
    15. Ni, Linglin & Wang, Xiaokun (Cara) & Zhang, Dapeng, 2016. "Impacts of information technology and urbanization on less-than-truckload freight flows in China: An analysis considering spatial effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 12-25.
    16. Alexander S. Skorobogatov, 2021. "The effect of alcohol sales restrictions on alcohol poisoning mortality: Evidence from Russia," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1417-1442, June.
    17. Justyna Wilk, 2015. "Using symbolic data in gravity model of population migration to reduce modifiable areal unit problem (MAUP)," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(2), pages 243-264, June.
    18. S. Bacci & B. Bertaccini, 2021. "Assessment of the University Reputation Through the Analysis of the Student Mobility," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 363-388, August.
    19. Paula Margaretic & Christine Thomas-Agnan & Romain Doucet, 2017. "Spatial dependence in (origin-destination) air passenger flows," Papers in Regional Science, Wiley Blackwell, vol. 96(2), pages 357-380, June.
    20. Justyna Wilk, 2015. "Using Symbolic Data In Gravity Model Of Population Migration To Reduce Modifiable Areal Unit Problem (Maup)," Statistics in Transition New Series, Polish Statistical Association, vol. 16(2), pages 243-264, June.
    21. Koji Murayama & Jun Nagayasu & Lamia Bazzaoui, 2022. "Spatial Dependence, Social Networks, and Economic Structures in Japanese Regional Labor Migration," Sustainability, MDPI, vol. 14(3), pages 1-31, February.

    More about this item

    Keywords

    migration; graduates of universities; modify gravity model; spatial effects; Russian regions;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

    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:ris:apltrx:0368. 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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.