Skip to main content Skip to main navigation menu Skip to site footer
  • Register
  • Login
  • Menu
  • Home
  • Journal Information
  • Current
  • Archives
  • Editorial Team
  • Fees
  • Ethics and Policies
  • Submission
  • Register
  • Login

Ekonomia i Prawo. Economics and Law

Assessment of the relationship between regional variability in the level of education and population income: application of multivariate comparative analysis
  • Home
  • /
  • Assessment of the relationship between regional variability in the level of education and population income: application of multivariate comparative analysis
  1. Home /
  2. Archives /
  3. Vol. 22 No. 4 (2023) /
  4. Articles

Assessment of the relationship between regional variability in the level of education and population income: application of multivariate comparative analysis

Authors

  • Anna Murawska Bydgoszcz University of Science and Technology https://orcid.org/0000-0002-3944-7657

DOI:

https://doi.org/10.12775/EiP.2023.039

Keywords

education, income, inequality, multivariate analysis, synthetic measure

Abstract

Motivation: The relationship between the level of education and population income lies at the heart of current scientific and political debates on the social and economic development of countries. The issue is an important one, as the gap between countries in this regard is large and has widened even further amid the current economic crisis that started in 2020 and is a result of, among others, the Covid-19 pandemic.
Aim: The present article aimed to undertake a multivariate comparative analysis of population level of education (EL) and income (IL), construct synthetic measures of the phenomena under study, rank and classify the objects/countries studied, and investigate whether significant interdependencies exist between the level of education and income inequality. Additionally, an effort was made to determine the scale of changes and variability in the phenomena explored, both prior (before 2020) to and during the economic crisis (years 2020–2021).
Results: The study confirmed the existence of a significant interdependence between populations’ education level (EL) and income level (IL) variability across EU regions. The marginalization of and disparity among several of the EU(27) countries has intensified even further during the current economic crisis. Significant correlations exist between countries with high population incomes and the percentages of individuals holding tertiary education qualifications as well as the adults pursuing further education. Concomitantly, as the percentage of young people not in education or employment falls, countries’ GDP and income levels increase, while income inequality and the risk of poverty decrease. The understanding of the aforementioned interdependencies is vital for the implementation of education policy as one of the biggest levers reducing educational disparities and thus income inequality in the population.

References

Abdullah, A., Doucouliagos, H., & Manning, E. (2015). Does education reduce income inequality: a meta-regression analysis. Journal of Economic Surveys, 29(2), 301–316. https://doi.org/10.1111/joes.12056.

Algan, Y., Brunello, G., Goreichy, E., & Hristova, A. (2021). Boosting social and economic resilience in Europe by investing in education. https://doi.org/10.2766/643807.

Ansari, A. (2016). Investigating the effects of different levels of formal education on iran’s economic growth. Modern Applied Science, 10(9), 205–212. https://doi.org/10.5539/mas.v10n9p205.

Banzragch, O., Mizunoya, S., & Bayarjargal, M. (2019). Education inequality in Mongolia: measurement and causes. International Journal of Educational Development, 68, 68–79. https://doi.org/10.1016/j.ijedudev.2019.04.010.

Barska, A., Jędrzejczak-Gas, J., & Wyrwa, J. (2022). Poland on the path towards sustainable development: a multidimensional comparative analysis of the socio-economic development of Polish regions. Sustainability, 14(16), 10319. https://doi.org/10.3390/su141610319.

Bartak, J. (2014). Uwarunkowania redukcji nierówności dochodowych w Polsce. Nierówności Społeczne a Wzrost Gospodarczy, 37, 220–238.

Bartak, J. (2019). Instytucjonalne uwarunkowania nierówności szans edukacyjnych w Polsce. Nierówności Społeczne a Wzrost Gospodarczy, 57(1), 387–401. https://doi.org/10.15584/nsawg.2019.1.28.

Bartłomowicz, T., & Cheba, K. (2017). Multidimensional comparative analysis of the European Union countries in the field of sustainable development. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. Research Papers of Wrocław University of Economics, 476, 118–126. https://doi.org/10.15611/pn.2017.476.11.

Beltrán Tapia, F.J., & Martinez-Galarraga, J. (2018). Inequality and education in pre-industrial economies: evidence from Spain. Explorations in Economic History, 69, 81–101. https://doi.org/10.1016/j.eeh.2017.12.003.

Biasutti, M., & Frate, S. (2017). A validity and reliability study of the attitudes toward sustainable development scale. Environmental Education Research, 23(2), 214–230. https://doi.org/10.1080/13504622.2016.1146660.

Bijl, R., Boelhouwer, J., Pommer, E., & Schyns, P. (Eds.). (2010). The Social state of the Netherlands 2009. The Netherlands Institute for Social Research.

Czapiewski, K.Ł., & Janc, K. (2012). Dostępność do edukacji, jakość kształcenia i poziom wykształcenia mieszkańców a struktura funkcjonalna gmin województwa mazowieckiego. Mazowsze Studia Regionalne, 10, 33–52.

Damon, A., Glewwe, P., Wisniewski, S., & Sun, B. (2016). Education in developing countries what policies and programmes affect learning and tile in school. Retrieved 14.03.2023 form https://eba.se/wp-content/uploads/2016/05/2016_02_Education-in-developing-countries_webb_Tillganp.pdf.

Dao, B. (2020). Education and economic growth in Vietnam. Journal of Education and Practice, 11(6), 10–22. https://doi.org/10.7176/JEP/11-6-02.

Davidescu, A.A., Nae, T.M., & Florescu, M.-S. (2022). Exploring the moderation and mediation effects in addressing the main determinants of income inequalities in supporting quality of life: insights from CEE countries. International Journal of Environmental Research and Public Health, 19(14), 8555. https://doi.org/10.3390/ijerph19148555.

Deaton, A. (2015). The great escape: health, wealth, and the origins of inequality. Princeton University Press.

Eurostat. (2023). Retrieved 13.03.2023 form https://ec.europa.eu/eurostat/data/database.

Gmerek, T. (2013). Edukacja i nierówności społeczne: perspektywa porównawcza. Dialogi o Kulturze i Edukacji, 1(2), 73–108.

Goldin, C.D., & Katz, L.F. (2009). The future of inequality: the other reason education matters so much. Aspen Institute Congressional Program, 24(4), 7–14.

Gregorio, J.D., & Lee, J. (2002). Education and income inequality: new evidence from cross-country data. Review of Income and Wealth, 48(3), 395–416. https://doi.org/10.1111/1475-4991.00060.

Grzebyk, M., Stec, M., & Hejdukova, P. (2022). Financial situation and sustainable development of territorial units: a comparative analysis of polish voivodeships. Humanities and Social Sciences, 29(3), 49–73.

https://doi.org/10.7862/rz.2022.hss.18.

Hanushek, E.A., & Woessmann, L. (2010). Education and economic growth. In D.J. Brewer, & P.J. McEwan (Eds.), Economics of education (pp. 60–67). Elsevier.

Hellwig, Z. (1981). Wielowymiarowa analiza porównawcza i jej zastosowanie w badaniach wielocechowych obiektów gospodarczych. In W. Welfe (Ed.), Metody i modele ekonomiczno-matematyczne w doskonaleniu zarządzania gospodarką socjalistyczną (pp. 46–68). PWE.

Hoffmann, R., Hu, Y., de Gelder, R., Menvielle, G., Bopp, M., & Mackenbach, J.P. (2016). The impact of increasing income inequalities on educational inequalities in mortality: an analysis of six European countries. International Journal for Equity in Health, 15(1), 103. https://doi.org/10.1186/s12939-016-0390-0.

Iacobută, A.-O., & Ifrim, M. (2020). Welfare mentality as a challenge to European sustainable development: what role for youth inclusion and institutions. Sustainability, 12(9), 3549. https://doi.org/10.3390/su12093549.

ISO. (2023). Retrieved 14.03.2023 form https://www.iso.org/iso-3166-country-codes.html.

Jerrim, J., & Macmillan, L. (2015). Income inequality, intergenerational mobility, and the great gatsby curve: is education the key. Social Forces, 94(2), 505–533. https://doi.org/10.1093/sf/sov075.

Kawachi, I., Kennedy, B.P., Lochner, K., & Prothrow-Stith, D. (1997). Social capital, income inequality, and mortality. American Journal of Public Health, 87(9), 1491–1498. https://doi.org/10.2105/AJPH.87.9.1491.

Knight, J., Sicular, T., & Ximing, Y. (2013). Educational inequality in China: the intergenerational dimension. In H. Sato, S. Li, & T. Sicular (Ed.), Rising inequality in china: challenges to a harmonious society (pp. 142–196). Cambridge University Press. https://doi.org/10.1017/CBO9781139035057.006.

Kryk, B. (2016). Accomplishment of the European Union lifelong learning objectives in Poland. Oeconomia Copernicana, 7(3), 389–404. https://doi.org/10.12775/OeC.2016.023.

Kuźmar, S. (2023). Income inequality and economic growth: the reexamination of the existence of Kuznets curve: evidence from CEE countries. Ekonomia i Prawo. Economics and Law, 22(2), 237–250. https://doi.org/10.12775/EiP.2023.014.

Lee, J.-W., & Lee, H. (2018). Human capital and income inequality. Journal of the Asia Pacific Economy, 23(4), 554–583. https://doi.org/10.1080/13547860.2018.1515002.

Maket, I.J., Kano, I.S., & Vas, Z.B. (2022). Reverse causal nexus between pro-poor policies and income inequality in Kenya. Regional Science Policy & Practice. Advance online publication. https://doi.org/10.1111/rsp3.12540.

Michalcewicz-Kaniowska, M., Mickiewicz, B., Murawska, A., Odlanicka-Poczobutt, M., & Zajdel, M. (2021). The gender polarization of education and employment in the European Union countries (in 2005–2019): practical implications. European Research Studies Journal, 24(1), 787–809.

Murawska, A. (2014). Ocena poziomu życia w krajach Unii Europejskiej (UE-28) w aspekcie zrównoważonego rozwoju za pomocą wielowymiarowej analizy porównawczej. Metody Ilościowe w Badaniach Ekonomicznych, 15(4), 80–90.

Murawska, A. (2017). Wzrost poziomu wykształcenia ludności jako szansa dla rozwoju społeczno-ekonomicznego krajów Unii Europejskiej. Nierówności Społeczne a Wzrost Gospodarczy, 52(4), 9–20. https://doi.org/10.15584/nsawg.2017.4.1.

Murawska, A., Mickiewicz, B., Zajdel, M., & Michalcewicz-Kaniowska, M. (2020). Multidimensional analysis of the relationship between sustainable living conditions and long and good health in the European Union countries. European Research Studies Journal, 23(3), 716–735. https://doi.org/10.35808/ersj/1664.

Neckerman, K.M., & Torche, F. (2007). Inequality: causes and consequences. Annual Review of Sociology, 33(1), 335–357. https://doi.org/10.1146/annurev.soc.33.040406.131755.

Nowak, E. (1990). Metody taksonomiczne w klasyfikacji obiektów społeczno-gospodarczych. PWE.

Nowak, E. (1997). Zarys metod ekonometrii. PWN.

Palmisano, F., Biagi, F., & Peragine, V. (2022). Inequality of opportunity in tertiary education: evidence from Europe. Research in Higher Education, 63(3), 514–565. https://doi.org/10.1007/s11162-021-09658-4.

Polacko, M. (2021). Causes and consequences of income inequality: an overview. Statistics, Politics and Policy, 12(2), 341–357. https://doi.org/10.1515/spp-2021-0017.

Rodríguez-Pose, A., & Tselios, V. (2009). Education and income inequality in the regions of the European Union. Journal of Regional Science, 49(3), 411–437. https://doi.org/10.1111/j.1467-9787.2008.00602.x.

Roscigno, V.J., Tomaskovic-Devey, D., & Crowley, M. (2006). Education and the inequalities of place. Social Forces, 84(4), 2121–2145.

https://doi.org/10.1353/sof.2006.0108.

Saczyńska-Sokół, S. (2018). Supporting NEETs: challenges facing labor market institutions in Poland. Oeconomia Copernicana, 9(1), 159–173. https://doi.org/10.24136/oc.2018.009.

Shapiro, S.S., & Wilk, M.B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591–611. https://doi.org/10.2307/2333709.

Skubiak, B. (2013). Edukacja jako czynnik wspierający rozwój gospodarczy: implikacje dla Polski. Studia Ekonomiczne, 129, 195–203.

Sojka, E. (2008). Multidimensional comparative analysis of demographic growth of voivodeships in Poland. Bulletin of Geography: Socio-Economic Series, 9(9), 5–20. https://doi.org/10.2478/v10089-008-0001-y.

Suryadarma, D. (2011). Determinants of education attainment in developing countries: can higher skills compensate for poverty. Retrieved 14.03.2023 form https://www.rand.org/content/dam/rand/www/external/labor/FLS/IFLS/papers/2010_suryadarma-2.pdf.

Topolewski, Ł. (2020). The impact of income inequalities on economic growth. Ekonomia i Prawo. Economics and Law, 19(2), 355–365. https://doi.org/10.12775/EiP.2020.024.

Turčínková, J., & Stávková, J. (2012). Does the attained level of education affect the income situation of households. Procedia Social and Behavioral Sciences, 55, 1036–1042. https://doi.org/10.1016/j.sbspro.2012.09.595.

Tusińska, M. (2018). Nierówności dochodowe i ubóstwo w Polsce na tle zmian systemowych. Optimum: Economic Studies, 6(90), 124–133. https://doi.org/10.15290/ose.2017.06.90.10.

Vandeplas, A. (2021). Education, income, and inequality in the European Union. In G. Fischer, & R. Strauss (Eds.), Europe’s income, wealth, consumption, and inequality (pp. 300–342). Oxford Academic. https://doi.org/10.1093/oso/9780197545706.003.0009.

Vintilă, G., Onofrei, M., & Gherghina, Ş. C. (2017). Multidimensional data analysis towards assessing the European education systems. European Journal of Sustainable Development, 6(2), 69–69. https://doi.org/10.14207/ejsd.2017.v6n2p69.

Walker, J., Pearce, C., Boe, K., & Lawson, M. (2019). The power of education to fight inequality: how increasing educational equality and quality is crucial to fighting economic and gender inequality. Oxfam. https://doi.org/10.21201/2019.4931.

Wędrowska, E., & Muszyńska, J. (2022). Role of age and education as the determinant of income inequality in Poland: decomposition of the mean logarithmic deviation. Entropy, 24(6), 773. https://doi.org/10.3390/e24060773.

Welch, F. (Ed.). (2001). The causes and consequences of increasing inequality. University of Chicago Press.

Włodarczyk, J. (2013). Nierówności dochodowe w Polsce według rozkładów Pareto i Boltzmanna-Gibbsa. Studia Ekonomiczne, 130, 76–87.

Wu, X., & Zhang, Z. (2010). Changes in educational inequality in China, 1990–2005: evidence from the population census data. In E. Hannum, H. Park, & Y. Goto Butler (Ed.), Globalization, changing demographics, and educational challenges in East Asia (pp. 123–152). Emerald. https://doi.org/10.1108/S1479-3539(2010)0000017007.

Zeliaś, A. (Ed.). (2000). Taksonomiczna analiza przestrzennego zróżnicowania poziomu życia w Polsce w ujęciu dynamicznym. AE w Krakowie.

Zhou, Y., & Song, L. (2016). Income inequality in China: causes and policy responses. China Economic Journal, 9(2), 186–208. https://doi.org/10.1080/17538963.2016.1168203.

Ekonomia i Prawo. Economics and Law

Downloads

  • PDF

Published

2023-12-31

How to Cite

1.
MURAWSKA, Anna. Assessment of the relationship between regional variability in the level of education and population income: application of multivariate comparative analysis. Ekonomia i Prawo. Economics and Law. Online. 31 December 2023. Vol. 22, no. 4, pp. 729-756. [Accessed 5 July 2025]. DOI 10.12775/EiP.2023.039.
  • ISO 690
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

Issue

Vol. 22 No. 4 (2023)

Section

Articles

License

Copyright (c) 2023 Anna Murawska

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Stats

Number of views and downloads: 597
Number of citations: 0

Search

Search

Browse

  • Browse Author Index
  • Issue archive

Information

  • For Readers
  • For Authors
  • For Librarians

User

User

Contact

Principal Contact
Piotr Wiśniewski
psw@umk.pl
Support Contact
Grzegorz Kopcewicz
Phone (56) 611 26 93
greg@umk.pl

cross_check

The journal content is indexed in CrossCheck, the CrossRef initiative to prevent scholarly and professional plagiarism

Up

Akademicka Platforma Czasopism

Najlepsze czasopisma naukowe i akademickie w jednym miejscu

apcz.umk.pl

Partners

  • Akademia Ignatianum w Krakowie
  • Akademickie Towarzystwo Andragogiczne
  • Fundacja Copernicus na rzecz Rozwoju Badań Naukowych
  • Instytut Historii im. Tadeusza Manteuffla Polskiej Akademii Nauk
  • Instytut Kultur Śródziemnomorskich i Orientalnych PAN
  • Instytut Tomistyczny
  • Karmelitański Instytut Duchowości w Krakowie
  • Ministerstwo Kultury i Dziedzictwa Narodowego
  • Państwowa Akademia Nauk Stosowanych w Krośnie
  • Państwowa Akademia Nauk Stosowanych we Włocławku
  • Państwowa Wyższa Szkoła Zawodowa im. Stanisława Pigonia w Krośnie
  • Polska Fundacja Przemysłu Kosmicznego
  • Polskie Towarzystwo Ekonomiczne
  • Polskie Towarzystwo Ludoznawcze
  • Towarzystwo Miłośników Torunia
  • Towarzystwo Naukowe w Toruniu
  • Uniwersytet im. Adama Mickiewicza w Poznaniu
  • Uniwersytet Komisji Edukacji Narodowej w Krakowie
  • Uniwersytet Mikołaja Kopernika
  • Uniwersytet w Białymstoku
  • Uniwersytet Warszawski
  • Wojewódzka Biblioteka Publiczna - Książnica Kopernikańska
  • Wyższe Seminarium Duchowne w Pelplinie / Wydawnictwo Diecezjalne „Bernardinum" w Pelplinie
Ekonomia i Prawo. Economics and Law
Katedra Ekonomii 
Wydział Nauk Ekonomicznych i Zarządzania 
Uniwersytet Mikołaja Kopernika w Toruniu 
ul. Gagarina 13A 
87-100 Toruń

Principal Contact

Piotr Wiśniewski
psw@umk.pl

Support Contact

Grzegorz Kopcewicz
Phone (56) 611 26 93
greg@umk.pl

© 2021- Nicolaus Copernicus University Accessibility statement Shop