Economics and management of national economy

Macroeconomic indicators and student mobility: a case study of the African countries most actively involved in FAO student mobility

Economic Annals-XXI

Economic Annals-ХХI: Volume 190, Issue 5-6(2), Pages: 75-85

Citation information:
Janik, H., & Tóth-Naár, Zs. (2021). Macroeconomic indicators and student mobility: a case study of the African countries most actively involved in FAO student mobility. Economic Annals-XXI, 190(5-6(2)), 75-85. doi: https://doi.org/10.21003/ea.V190-07

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Henrietta Janik
PhD Student (Economics),
Hungarian University of Agriculture and Life Sciences (MATE)
1 Pater K. Str., Gödöllő, 2100, Hungary
kataineh@gmail.com
ORCID ID: https://orcid.org/0000-0002-4268-9024

Zsuzsanna Tóth-Naár
PhD (Economics), Associate Professor,
Deputy Director,
Hungarian University of Agriculture and Life Sciences (MATE)
1 Pater K. Str., Gödöllő, 2100, Hungary
naarne.toth.zsuzsanna@uni-mate.hu
ORCID ID: https://orcid.org/0000-0003-4222-3344

Macroeconomic indicators and student mobility: a case study of the African countries most actively involved in FAO student mobility

Abstract
The internationalization of higher education is one of the most current topics related to education today. The number of foreign students in major higher education institutions is increasing, and international collaborations in the field of education and research are becoming more frequent. Even though the topic is so tangible in proximity, still little is known about the process of internationalization of higher education and the factors that support and hinder the phenomenon. The theoretical significance of this study is the regression analysis of the revealed literature and statistical data, while the practical significance is the possible comparative study of the research carried out in the international context depending on the number of FAO scholarship students coming to Hungary from African countries. The study covers 12 years of mobilities from 2008 to 2020. The study presents the distribution of FAO scholarship students arriving in Hungary from African countries and analyses a correlation between macroeconomic indicators, student mobility and the likelihood of international migration regarding sending African countries, using linear regression analysis and SPSS as a statistical method. For this analysis the data from the ILOSTAT Database has been used. The result of the study is that there are correlations between indicators in only a few cases, such as the HDI and MPI index of the African countries and GDP per capita. The GDP per capita has really strong positive correlation with the HDI index. There is a medium correlation between agriculture, forestry, and fishing, value added (% of GDP) and the employment in agriculture in the examined African countries. Also, our results suggest there is a moderately strong negative correlation between MPI index and GDP per capita.

Keywords: Agriculture; Internationalisation; FAO Student Mobility; Macroeconomic Indicators; Africa

JEL Classification: F55; F62; I23; I25; Q19

Acknowledgements and Funding: The authors received no direct funding for this research.

Contribution: The authors contributed equally to this work.

Data Availability Statement: The dataset is available from the authors upon request.

DOI: https://doi.org/10.21003/ea.V190-07

References

  1. Adu, K. H. (2019). Student migration aspirations and mobility in the global knowledge society: The case of Ghana. Journal of International Mobility, 7(1), 23-43.
    https://www.cairn.info/revue-journal-of-international-mobility-2019-1-page-23.htm
  2. Alila, P., & Atieno, R. (2006). Agricultural Policy in Kenya: Issues and Processes. A paper for the Future Agricultures Consortium workshop, Institute of Development Studies, 20-22 March, 2006.
    https://www.fao.org/fileadmin/user_upload/fsn/docs/Ag_policy_Kenya.pdf
  3. Bite, P., Konczosné, Sz. M., & Vasa, L. (2020). The Concept of Labour Migration from the Perspective of Central and Eastern Europe. Economics and Sociology, 13(1), 197-216.
    https://doi.org/10.14254/2071-789X.2020/13-1/13
  4. Bracht, O., Engel, C., Janson, K., Over, A., Schomburg, H., & Teichler, U. (2006). The professional value of Erasmus mobility. International Centre of Higher Education Research, University of Kassel.
    https://www.eurashe.eu/library/modernising-phe/mobility/professional/WG4%20R%20Professional%20value%20of%20ERASMUS%20mobility%20Teichler.pdf
  5. Byram, M., & Dervin, F. (2009). Students, staff and academic mobility in higher education. Cambridge Scholars Publishing.
    https://eprints.usq.edu.au/8075/4/Binder1.pdf
  6. Chawawa, M. (2013, June 24). Educating for employability in the global economy: the Diaspora option. Sunday Standard.
    https://www.sundaystandard.info/?s=Chawawa%2C+M.+
  7. Food and Agriculture Organization of the United Nations. (2017). The Director-General’s Medium Term Plan 2018-21 (reviewed) and Programme of Work and Budget 2018-19.
    https://www.fao.org/3/ms278e/ms278e.pdf
  8. Gargano, T. (2009). (Re)conceptualizing International Student Mobility The Potential of Transnational Social Fields. Journal of Studies in International Education, 13(3), 331-346.
    https://doi.org/10.1177%2F1028315308322060
  9. Honvári, J. (2012). Migrációs potenciál és a potenciális tanulási migráció. Hazai hallgatók külföldi tanulási szándékai (Migration potential and potential learning migration. Intention to study abroad by domestic students). Tér és Társadalom (Space and Society), 26(3), 93-113
    https://doi.org/10.17649/TET.26.3.2058 (in Hungarian)
  10. King, R., & Ruiz-Gelices, E. (2003). International student migration and the European «year abroad»: Effects on European identity and subsequent migration behaviour. International Journal of Population Geography, 9(3), 229-252.
    https://doi.org/10.1002/ijpg.280
  11. Kritz, M. M. (2011). International Student Mobility and Tertiary Education Capacity in Africa. International Migration, 53(1), 29-49.
    https://doi.org/10.1111/imig.12053
  12. Lukács, E., Kovács, Zs., Völgyi, K., & Filep, B. (2020). A «Keleti nyitás» politika a magyar felsőoktatás és a Széchenyi István Egyetem nemzetköziesítésében (The policy of «Opening to the East» in the internationalization of Hungarian higher education and Széchenyi István University). Külügyi Szemle (Foreign Affairs Review), 19(1), 80-104.
    https://kki.hu/wp-content/uploads/2020/04/04-Luk%C3%A1cs-Kov%C3%A1cs-V%C3%B6lgyi-Filep.pdf (in Hungarian)
  13. Magda, S., Marselek, S., & Magda, R. (2017). Az agrárgazdaságban foglalkoztatottak képzettsége és a jövő igénye (Education Levels in the Agricultural Economy and Future Requirements). Gazdálkodás (Farming), 61(5), 437-458.
    https://doi.org/10.22004/ag.econ.269267 (in Hungarian)
  14. Meyer, D. F. (2020). The impact of globalization on economic growth: The case of Visegrad countries. Forum Scientiae Oeconomia, 8(2).
    https://doi.org/10.23762/FSO_VOL8_NO2_2
  15. Ministry of Economy and Finance of the Republic of Korea. (2020). 2019/20 KSP Policy Consultation Report. Development of the Strategic Framework for Establishment of an Effective e-Government System for the Period 2019-2022 for Serbia.
    https://www.ksp.go.kr/api/file/download/19104?downloadFilename=Development%20of%20the%20Strategic%20Framework%20for%20Establishment%20of%20an%20Effective%20e-Government%20System%20for%20the%20Period%202019-2022%20(English).pdf
  16. Nour, S. O. M. (2019). Migration of higher education students from the North Africa Region. MERIT Working Papers 2019-010. Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    https://ideas.repec.org/p/unm/unumer/2019010.html
  17. Oliinyk, O., Bilan, Y., Mishchuk, H., Akimov, O., & Vasa, L. (2021). The Impact of Migration of Highly Skilled Workers on The Country’s Competitiveness and Economic Growth. Montenegrin Journal Of Economics, 17(3), 7-19.
    https://doi.org/10.14254/1800-5845/2021.17-3.1
  18. Popp, J., Oláh, J., Kiss, A., & Lakner, Z. (2019). Food security perspectives in Sub-Saharan Africa. Amfiteatru Economic, 51(21), 361-376.
    https://doi.org/10.24818/EA/2019/51/361
  19. Tarrósy, I. (2011). Afrikai agyelszívás – A kérdéskör néhány mérvadó aspektusa (African brain drain – Some authoritative aspects of the issue). Afrika Tanulmányok (Africa Studies), 5(3), 45-55.
    http://www.afrikatanulmanyok.hu/htmls/tanulmanyok.html?essayID=1000
  20. UNESCO. (2020). Trends in Tertiary Education: sub-Saharan Africa. UIS/FS/2010/10.
    http://uis.unesco.org/sites/default/files/documents/fs10-trends-in-tertiary-education-sub-saharan-africa-2010-en.pdf
  21. United Nations Development Programme. (2019). Human Development Report. Beyond income, beyond averages, beyond today: Inequalities in human development in the 21st century.
    http://hdr.undp.org/sites/default/files/hdr2019.pdf
  22. United Nations General Assembly. (2014). Report of the Open Working Group of the General Assembly on Sustainable Development Goals.
    https://digitallibrary.un.org/record/784147
  23. Vértesy, L. (2015). Gazdasági mutatók (Economic indicators). Nemzeti Érdek (National Interest), 11(1), 310-327
    https://www.researchgate.net/publication/334415768_Gazdasagi_mutatok_-_mit_mutatnak_a_mutatok
  24. Woldegiorgis, E. T., & Doevenspeck, M. (2015). Current Trends, Challenges and Prospects of Student Mobility in the African Higher Education Landscape. International Journal of Higher Education, 4(2), 105-115.
    https://doi.org/10.5430/ijhe.v4n2p105
  25. Zelenkov, Y. A., & Lashkevich, E. V. (2020). Fuzzy regression model of the impact of technology on living standards. Business Informatics, 14(3), 67-81.
    https://doi.org/10.17323/2587-814X.2020.3.67.81

Received 18.04.2021
Received in revised form 26.05.2021
Accepted 1.06.2021
Available online 10.07.2021

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