Standard of living in European Union countries
DOI:
https://doi.org/10.12775/EiP.2023.021Keywords
standard of living, synthetic measure, convergenceAbstract
Motivation: Researchers have been concerned with the issues related to the differences among economies for many years. The level of differentiation is an important matter as excessive economic and social differences among the states may lead to limited scope of integration processes, which in turn determine the development rate of regions. Due to how significant this issue is, it was decided that the level differentiation of the standard of living of the population in selected European Union countries ought to be investigated.
Aim: The purpose of the article is to compare the standard of living in the countries of the European Union, with particular emphasis placed on the countries that joined the Union in 2004. The authors try to answer the question whether the economic policy pursued by the EU achieves the intended effect. A synthetic measure was constructed to measure the standard of living, taking into account various aspects of life. The time scope of the study covers the period of 2005–2020. The choice of a specific time frame was dictated by the expansion of the number of European Union members in 2004 and the availability of data. Therefore, the analysis covered the countries of the European Union post 2005 (excluding Great Britain). Data were obtained from Eurostat.
Results: Taking into account the values of the synthetic variable, it may be claimed that one the one hand, the standard of living in the countries is increasing, and on the other hand, the disparity between countries is decreasing. Therefore it should be noticed, that the economic policy pursued by the European Union achieves the intended effect.
References
Babiak, J. (2013). Zróżnicowanie poziomu życia mieszkańców Unii Europejskiej. Rocznik Integracji Europejskiej, (7), 39–48. https://doi.org/10.14746/rie.2013.7.3.
Becker, A. (2011). Analiza rozwoju województw Polski pod względem wykorzystania technologii ITC. Folia Pomeranae Universitatis Technologiae Stetinensis. Oeconomica, 285(62), 27–36.
Binderman, Z., Borkowski, B., Kozera, R., Prokopenya, A.N., & Szczęsny, W. (2018). On mathematical modelling of synthetic measures. Mathematical Modelling and Analysis, 23(4), 699–711. https://doi.org/10.3846/mma.2018.042.
Cheba, K. (2014). Przestrzenno-czasowe modelowanie poziomu życia mieszkańców miast Polski. Acta Universitatis Nicolai Copernici: Ekonomia, 45(1), 83-98. https://doi.org/10.12775/AUNC_ECON.2014.005.
Council of the European Union. (2006). Renewed EU Sustainable Development Strategy (EU SDS). Retrieved 03.09.2022 from https://register.consilium.europa.eu/doc/srv?l=EN&f=ST%2010917%202006%20INIT.
Eurofound. (2022). Retrieved 03.09.2022 from https://www.eurofound.europa.eu/pl.
Eurostat. (2022). Database. Retrieved 03.09.2022 from https://ec.europa.eu/eurostat/data/database.
Gordon, R. (2017). The rise and fall of American growth: the U.S. standard of living since the civil war. Princeton University Press.
Jettinghoff, K., & Houtman, I. (2009). A sector perspective on working conditions. Retrieved 03.09.2022 from https://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef0814en_0.pdf.
Krakowiak-Bal, A. (2005). Wykorzystanie wybranych miar syntetycznych do budowy miary rozwoju infrastruktury technicznej. Infrastruktura i Ekologia Terenów Wiejskich, 3, 71–82.
Kuc, M. (2016). Przemiany w przestrzennym zróżnicowaniu poziomu życia ludności w państwach Unii Europejskiej. Uniwersytet Mikołaja Kopernika.
Malina, A. (2020). Analiza przestrzennego zróżnicowania poziomu rozwoju społeczno-gospodarczego województw Polski w latach 2005–2017. Nierówności Społeczne a Wzrost Gospodarczy, 61, 138-155. http://dx.doi.org/10.15584/nsawg.2020.1.10.
Mironov, B. (2012). The standard of living and revolutions in Russia, 1700–1917. Routledge.
Pietrzak, M.B., & Balcerzak, A.P. (2016). Assessment of socio-economic sustainability in new European Union members states in the years 2004–2012. In M. Papież, & S. Śmiech (Eds.), The 10th Professor Aleksander Zelias International Conference on modelling and forecasting of socio-economic phenomena (pp. 120–129). Foundation of the Cracow University of Economics.
Stiglitz, J.E., Kanbur, R., & Patel, E. (2018). Sustainable development goals and the measurement of economic and social progress. In J.E. Stiglitz, J.-P. Fitoussi, & M. Durand (Eds.), For good measure: advancing research on well-being metrics beyond GDP (pp. 33–48). OECD. https://doi.org/10.1787/9789264307278-en.
Stjepanović, S., Tomić, D., & Škare, M. (2019). Green GDP: an analyses for developing and developed countries. Ekonomie a Management, 22(4), 4–17. https://doi.org/10.15240/tul/001/2019-4-001.
Szczepaniak, M., & Kovářová, E. (2018). Well-being in Poland and the Czech Republic as the EU member states: comparative analysis. In M. Staníčková, L. Melecký, E. Kovářová, & K. Dvoroková (Eds.), Proceedings of the 4th International Conference on European Integration ICEI 2018 (pp. 1436–1447). Technical University of Ostrava.
Topolewski, Ł. (2019). Wpływ podatności i odporności gospodarczej na wzrost gospodarczy krajów europejskich. Uniwersytet Mikołaja Kopernika.
United Nations. (1954). Report on international definition and measurement of standards and levels of living. Retrieved 03.09.2022 from https://digitallibrary.un.org/record/1476522/files/E_CN-3_179-EN.pdf?ln=en.
Utzig, M. (2018). Wydatki konsumpcyjne w wiejskich i miejskich gospodarstwach domowych jako miara ich poziomu życia. Roczniki Naukowe Stowarzyszenia Ekonomistów Rolnictwa i Agrobiznesu, 20(4), 195-199. http://dx.doi.org/10.5604/01.3001.0012.3061.
Walesiak, M. (2011). Modelowanie i prognozowanie zmiennych dwumianowych. In E. Gatnar, & M. Walesiak (Eds.), Analiza danych jakościowych i symbolicznych z wykorzystaniem programu R (pp. 99–111). C.H. Beck.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Łukasz Topolewski, Kamila Topolewska
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Stats
Number of views and downloads: 494
Number of citations: 0