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A Statistical Analysis of the Migration Process: A Case Study—Romania

Author

Listed:
  • Rodica Pripoaie

    (Faculty of Law and Administrative Sciences, “Dunărea de Jos” University of Galati, 800008 Galati, Romania)

  • Carmen-Mihaela Cretu

    (Faculty of Economic Sciences, Danubius University of Galati, 800654 Galati, Romania)

  • Anca-Gabriela Turtureanu

    (Faculty of Economic Sciences, Danubius University of Galati, 800654 Galati, Romania)

  • Carmen-Gabriela Sirbu

    (Faculty of Economic Sciences, Danubius University of Galati, 800654 Galati, Romania)

  • Emanuel Ştefan Marinescu

    (Faculty of Communication and International Relations, Danubius University of Galati, 800654 Galati, Romania)

  • Laurentiu-Gabriel Talaghir

    (Faculty of Physical Education and Sport, “Dunărea de Jos” University of Galati, 800008 Galati, Romania
    Institute of Sport, Tourism and Service, South Ural State University, Chelyabinsk 454080, Russia)

  • Florentina Chițu

    (The Economics and International Business Doctoral School, Bucharest University of Economic Studies, 010374 Bucharest, Romania)

  • Daniela Monica Robu

    (Press Department of Danubius University of Galati, Faculty of Communication and International Relations, Danubius University, 800654 Galati, Romania)

Abstract

The research aims at studying and predicting the migration process in Romania over the last 20 years and at identifying the impact of the COVID-19 pandemic. The study analyzes several models for estimating migration through linear regression, but also a VAR (Vector autoregression) analysis, as the variables can influence each other. Vector autoregression (VAR) is also used to model multivariate time series, and it can analyze the dynamics of a migration process. Therefore, the best model for forecasting the migration process in Romania is Model 1 of linear regression. This phenomenon generates many positive and negative economic, demographic and political effects. The migration process has become particularly important for Romania in the last 20 years, and its socio-economic, political and cultural effects affect the Romanian state. That is why flexible policies are needed in order to be coherent, to have as main purpose keeping specialists in the country in certain basic economic fields, as well to implement measures to determine the return of specialists and students who have left to study abroad.

Suggested Citation

  • Rodica Pripoaie & Carmen-Mihaela Cretu & Anca-Gabriela Turtureanu & Carmen-Gabriela Sirbu & Emanuel Ştefan Marinescu & Laurentiu-Gabriel Talaghir & Florentina Chițu & Daniela Monica Robu, 2022. "A Statistical Analysis of the Migration Process: A Case Study—Romania," Sustainability, MDPI, vol. 14(5), pages 1-27, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2784-:d:759854
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    References listed on IDEAS

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    Cited by:

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    3. Aniela Bălăcescu & Marian Zaharia & Rodica-Manuela Gogonea & Genu Alexandru Căruntu, 2022. "The Image of Sustainability in European Regions Considering the Social Sustainability Index," Sustainability, MDPI, vol. 14(20), pages 1-32, October.
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    5. Galina Ševčenko-Kozlovska & Kristina Čižiūnienė, 2022. "A Study of the Relationship between Lithuanian International Migration Flows and Transport Sector Performance Indicators," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    6. Andrei-Florin Băbăț & Mirela Mazilu & Amalia Niță & Ionuț-Adrian Drăguleasa & Mihaela Grigore, 2023. "Tourism and Travel Competitiveness Index: From Theoretical Definition to Practical Analysis in Romania," Sustainability, MDPI, vol. 15(13), pages 1-26, June.

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