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Analysing International Student Mobility Flows in Higher Education: A Comparative Study on European Countries

Author

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  • Marialuisa Restaino

    (University of Salerno)

  • Maria Prosperina Vitale

    (University of Salerno)

  • Ilaria Primerano

    (University of Salerno)

Abstract

The analysis of the factors pulling and pushing students in a foreign country to complete their higher education is key for the implementation of university policies aimed at increasing the number of credits gained by students abroad and hence the degree of internationalisation of institutions. Consistent with previous studies, the present contribution examines the roles played by countries in the Erasmus student mobility flows by considering a joint strategy of analysis based on social network analysis and exploratory data analysis. First, data on Erasmus student exchanges among countries are gathered at macro-level from the European Union Open Data Portal and network data structures are analysed. Second, educational indicators from the Eurostat website are collected to describe the investments in higher education. The main findings suggest the presence of a core-periphery configuration in the student mobility network with few central countries in which the economic benefits and the investments in education seem to act as key elements for university attractiveness.

Suggested Citation

  • Marialuisa Restaino & Maria Prosperina Vitale & Ilaria Primerano, 2020. "Analysing International Student Mobility Flows in Higher Education: A Comparative Study on European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 947-965, June.
    • Handle: RePEc:spr:soinre:v:149:y:2020:i:3:d:10.1007_s11205-020-02282-2
    DOI: 10.1007/s11205-020-02282-2
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    References listed on IDEAS

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    1. Matthias Parey & Fabian Waldinger, 2011. "Studying Abroad and the Effect on International Labour Market Mobility: Evidence from the Introduction of ERASMUS," Economic Journal, Royal Economic Society, vol. 121(551), pages 194-222, March.
    2. Kristijan Breznik & Goran Ä aković, 2016. "Erasmus student mobility flows - the national-level social network analysis of Slovenia," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 20(2), pages 124-137.
    3. Alessandra Amendola & Marialuisa Restaino, 2017. "An evaluation study on students’ international mobility experience," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 525-544, March.
    4. Derzsi, A. & Derzsy, N. & Káptalan, E. & Néda, Z., 2011. "Topology of the Erasmus student mobility network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2601-2610.
    5. Doren Chadee & Vikash Naidoo, 2009. "Higher educational services exports: sources of growth of Asian students in US and UK," Service Business, Springer;Pan-Pacific Business Association, vol. 3(2), pages 173-187, June.
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    Cited by:

    1. Vincenzo G. Genova & Michele Tumminello & Fabio Aiello & Massimo Attanasio, 2021. "A network analysis of student mobility patterns from high school to master’s," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(5), pages 1445-1464, December.
    2. Nicolae Marinescu & Anca Madar & Nicoleta Andreea Neacsu & Camelia Schiopu, 2022. "An Empirical Research on the Behavioral Perceptions of University Students on Their ERASMUS Mobilities Abroad," IJERPH, MDPI, vol. 19(9), pages 1-17, May.
    3. Anita Kéri & Erzsébet Hetesi, 2022. "Is it only the university they are satisfied with? – Foreign student satisfaction and its effect on loyalty," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 19(3), pages 601-622, September.
    4. Bertoletti, Alice & Berbegal-Mirabent, Jasmina & Agasisti, Tommaso, 2022. "Higher education systems and regional economic development in Europe: A combined approach using econometric and machine learning methods," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    5. Zongyi Yin & Jiamei Ye & Xiaoying Wang & Fang Su, 2023. "Relationship between Corporate CEO Succession Planning and Corporate Performance," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(64), pages 885-885, August.
    6. Carmen Jiménez-Bucarey & Ángel Acevedo-Duque & Sheyla Müller-Pérez & Luis Aguilar-Gallardo & Miguel Mora-Moscoso & Elena Cachicatari Vargas, 2021. "Student’s Satisfaction of the Quality of Online Learning in Higher Education: An Empirical Study," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    7. Columbu, Silvia & Porcu, Mariano & Primerano, Ilaria & Sulis, Isabella & Vitale, Maria Prosperina, 2021. "Geography of Italian student mobility: A network analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).

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