IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2024i3p469-479.html
   My bibliography  Save this article

Workforce Mobility in Eastern Europe: Dynamics and Economic Impact

Author

Listed:
  • Diana-Mihaela Tirca

    (Constantin Brancusi University of Targu-Jiu, Romania)

  • Razvan Bujor

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

This paper explores the dynamics of workforce mobility in Eastern Europe and its economic impact on both origin and destination countries. It examines the key drivers of migration, such as wage disparities, labor market demands, and economic development, with a focus on the role of migration networks and remittances. The analysis highlights how labor migration from Eastern Europe has contributed to economic growth in both sending and receiving countries by addressing labor shortages, boosting entrepreneurship, and enhancing skill acquisition. However, it also addresses the challenges, including brain drain, dependency on remittances, and the impact on local labor markets. Additionally, the paper discusses the evolving role of Eastern European countries as both sources and destinations for migration, driven by foreign investments and internal economic development. Finally, the study assesses the broader social, political, and economic implications of workforce mobility in the region, offering insights into future migration trends and policy considerations.

Suggested Citation

  • Diana-Mihaela Tirca & Razvan Bujor, 2024. "Workforce Mobility in Eastern Europe: Dynamics and Economic Impact," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 469-479.
    • Handle: RePEc:ddj:fseeai:y:2024:i:3:p:469-479
    DOI: https://doi.org/10.35219/eai15840409475
    as

    Download full text from publisher

    File URL: http://eia.feaa.ugal.ro/images/eia/2024_3/Tirca_Bujor.pdf
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.35219/eai15840409475?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
    ---><---

    References listed on IDEAS

    as
    1. Ekrame Boubtane & Dramane Coulibaly & Christophe Rault, 2013. "Immigration, Growth, and Unemployment: Panel VAR Evidence from OECD Countries," LABOUR, CEIS, vol. 27(4), pages 399-420, December.
    2. Chloe N. East & Annie L. Hines & Philip Luck & Hani Mansour & Andrea Velásquez, 2023. "The Labor Market Effects of Immigration Enforcement," Journal of Labor Economics, University of Chicago Press, vol. 41(4), pages 957-996.
    3. Henrik Kleven & Camille Landais & Mathilde Muñoz & Stefanie Stantcheva, 2020. "Taxation and Migration: Evidence and Policy Implications," Journal of Economic Perspectives, American Economic Association, vol. 34(2), pages 119-142, Spring.
    4. Christian Dustmann & Francesca Fabbri, 2003. "Language proficiency and labour market performance of immigrants in the UK," Economic Journal, Royal Economic Society, vol. 113(489), pages 695-717, July.
    5. Sari Pekkala Kerr & William R. Kerr, 2011. "Economic Impacts of Immigration: A Survey," Finnish Economic Papers, Finnish Economic Association, vol. 24(1), pages 1-32, Spring.
    6. Silke Uebelmesser, 2006. "To Go or Not to Go: Emigration from Germany," German Economic Review, Verein für Socialpolitik, vol. 7(2), pages 211-231, May.
    7. Michel Beine & Fréderic Docquier & Hillel Rapoport, 2008. "Brain Drain and Human Capital Formation in Developing Countries: Winners and Losers," Economic Journal, Royal Economic Society, vol. 118(528), pages 631-652, April.
    8. David Dorn & Josef Zweimüller, 2021. "Migration and Labor Market Integration in Europe," Journal of Economic Perspectives, American Economic Association, vol. 35(2), pages 49-76, Spring.
    9. Timothy J. Hatton, 2016. "Refugees, Asylum Seekers, and Policy in OECD Countries," American Economic Review, American Economic Association, vol. 106(5), pages 441-445, May.
    10. Reichlin, Pietro & Rustichini, Aldo, 1998. "Diverging patterns with endogenous labor migration," Journal of Economic Dynamics and Control, Elsevier, vol. 22(5), pages 703-728, May.
    11. Maffei-Faccioli, Nicolò & Vella, Eugenia, 2021. "Does immigration grow the pie? Asymmetric evidence from Germany," European Economic Review, Elsevier, vol. 138(C).
    12. Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
    13. Braun, Sebastian Till & Weber, Henning, 2021. "How do regional labor markets adjust to immigration? A dynamic analysis for post-war Germany," Journal of International Economics, Elsevier, vol. 129(C).
    14. Kahanec, Martin & Zaiceva, Anzelika & Zimmermann, Klaus F., 2009. "Lessons from Migration after EU Enlargement," IZA Discussion Papers 4230, Institute of Labor Economics (IZA).
    15. Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
    16. Timothy J. Hatton, 2017. "Refugees and asylum seekers, the crisis in Europe and the future of policy," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 32(91), pages 447-496.
    17. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    18. Zsolt Darvas & Jean Pisani-Ferry & Guntram B. Wolff, 2013. "Europe's growth problem (and what to do about it)," Bruegel Policy Brief 776, Bruegel.
    19. Hendrik P. van Dalen & Kène Henkens, 2013. "Explaining emigration intentions and behaviour in the Netherlands, 2005-10," Population Studies, Taylor & Francis Journals, vol. 67(2), pages 225-241, July.
    20. Olena Oliinyk & Yuriy Bilan & Halyna Mishchuk & Oleksandr Akimov & László Vasa, 2021. "The Impact of Migration of Highly Skilled Workers on The Country’s Competitiveness and Economic Growth," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 17(3), pages 7-19.
    21. Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
    22. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    23. van Dalen, H.P. & Henkens, C.J.I.M., 2013. "Explaining emigration intentions and behaviour in the Netherlands 2005-2010," Other publications TiSEM 511bab2c-f350-423e-9843-e, Tilburg University, School of Economics and Management.
    Full references (including those not matched with items on IDEAS)

    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. Oguzhan Cepni & Ibrahim Ethem Guney & Doruk Kucuksarac & M. Hasan Yilmaz, 2021. "Do local and global factors impact the emerging markets' sovereign yield curves? Evidence from a data‐rich environment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1214-1229, November.
    2. Narayan, Seema & Smyth, Russell, 2015. "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
    3. Tutz, Gerhard & Pößnecker, Wolfgang & Uhlmann, Lorenz, 2015. "Variable selection in general multinomial logit models," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 207-222.
    4. Mkhadri, Abdallah & Ouhourane, Mohamed, 2013. "An extended variable inclusion and shrinkage algorithm for correlated variables," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 631-644.
    5. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.
    6. Chuliá, Helena & Garrón, Ignacio & Uribe, Jorge M., 2024. "Daily growth at risk: Financial or real drivers? The answer is not always the same," International Journal of Forecasting, Elsevier, vol. 40(2), pages 762-776.
    7. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    8. Immanuel Bayer & Philip Groth & Sebastian Schneckener, 2013. "Prediction Errors in Learning Drug Response from Gene Expression Data – Influence of Labeling, Sample Size, and Machine Learning Algorithm," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-13, July.
    9. Mostafa Rezaei & Ivor Cribben & Michele Samorani, 2021. "A clustering-based feature selection method for automatically generated relational attributes," Annals of Operations Research, Springer, vol. 303(1), pages 233-263, August.
    10. Gustavo A. Alonso-Silverio & Víctor Francisco-García & Iris P. Guzmán-Guzmán & Elías Ventura-Molina & Antonio Alarcón-Paredes, 2021. "Toward Non-Invasive Estimation of Blood Glucose Concentration: A Comparative Performance," Mathematics, MDPI, vol. 9(20), pages 1-13, October.
    11. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    12. Karim Barigou & Stéphane Loisel & Yahia Salhi, 2020. "Parsimonious Predictive Mortality Modeling by Regularization and Cross-Validation with and without Covid-Type Effect," Risks, MDPI, vol. 9(1), pages 1-18, December.
    13. Gurgul Henryk & Machno Artur, 2017. "Trade Pattern on Warsaw Stock Exchange and Prediction of Number of Trades," Statistics in Transition New Series, Statistics Poland, vol. 18(1), pages 91-114, March.
    14. Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
    15. Camila Epprecht & Dominique Guegan & Álvaro Veiga & Joel Correa da Rosa, 2017. "Variable selection and forecasting via automated methods for linear models: LASSO/adaLASSO and Autometrics," Post-Print halshs-00917797, HAL.
    16. Zichen Zhang & Ye Eun Bae & Jonathan R. Bradley & Lang Wu & Chong Wu, 2022. "SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    17. Štefan Lyócsa & Petra Vašaničová & Branka Hadji Misheva & Marko Dávid Vateha, 2022. "Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-21, December.
    18. Peter Bühlmann & Jacopo Mandozzi, 2014. "High-dimensional variable screening and bias in subsequent inference, with an empirical comparison," Computational Statistics, Springer, vol. 29(3), pages 407-430, June.
    19. Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Risks, MDPI, vol. 6(2), pages 1-20, April.
    20. Capanu, Marinela & Giurcanu, Mihai & Begg, Colin B. & Gönen, Mithat, 2023. "Subsampling based variable selection for generalized linear models," Computational Statistics & Data Analysis, Elsevier, vol. 184(C).

    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:ddj:fseeai:y:2024:i:3:p:469-479. 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: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

    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.