Українська
Cherkashyna, T.
(2022).
Taxonomic analysis of income inequality in the EU countries.
Economics of Development,
21(4),
8-18.
https://doi.org/10.57111/econ.21(4).2022.8-18
English
Article
Taxonomic analysis of income inequality in the EU countries
Received 23.09.2022, Revised 02.11.2022, Accepted 09.12.2022
Abstract
The problem of population economic inequality is an actual issue for all countries of the world, but the peculiarity of economic inequality in EU countries lies in the differentiation of non-labor incomes received from property ownership, and also in the uneven distribution of residential and commercial real estate. Therefore, the analysis of population economic inequality in the EU countries is an urgent scientific and practical task. The purpose of this study was to determine the degree of economic inequality and the optimal rate of population income differentiation in the EU countries, and to develop measures based on this to reduce the degree of property inequality in the countries of this region. To achieve the goal, the taxonomy method was used, as well as general scientific methods (dialectics, analysis, synthesis, induction, deduction). For the quantitative description of the obtained results, the Harrington factor-criterion scale was used, which made it possible to divide 27 EU countries into three groups (clusters): countries with a high degree of economic inequality (Bulgaria, Latvia, Lithuania); countries with an average degree of economic inequality (Austria, Belgium, Greece, Spain, Italy, Cyprus, Luxembourg, Germany, Poland, Portugal, Romania, Hungary, Croatia, Finland, France, Sweden); countries with a low degree of economic inequality (Denmark, Estonia, Ireland, Malta, the Netherlands, Slovakia, Slovenia, the Czech Republic). To reduce the population economic inequality in the countries of the third group, the following measures have been proposed: stimulation of domestic and foreign investments; ensuring a high return on financial assets at the state level; creating more favorable conditions for the development of industry and increasing the wages of workers at the industrial enterprises. The obtained results have scientific and practical value on how to improve the economic policy of the countries of Northern and Eastern Europe and can be used in further theoretical researches on problems of population economic inequality in the countries of this region and for the specification of applied measures to reduce economic inequality in Bulgaria, Latvia and Lithuania
Keywords:
property inequality, income differentiation, the Gini coefficient, the Palma index, decile coefficient, taxonomy method
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References
[1] Official site of Global Wealth Report. (n.d.). Retrieved from https://worldwealthreport.com/.
[2] Official site of European Statistical Recovery Dashboard. (n.d.). Retrieved from https://ec.europa.eu/eurostat/data/database.
[3] Antonucci, L., & Corti, F. (2020). Inequalities in the European semester. Brussels: FEPS.
[4] Blanchet, T., Chancel, L., & Gethin, A. (2019). How unequal is Europe? Evidence from distributional national accounts (1980-2017). Working Papers, 6, 1-79.
[5] Kollurul, M., & Semenenko, T. (2021). Income inequalities in EU countries: Gini indicator analysis. Economics, 9(1), 125-142. doi: 10.2478/eoik-2021-0007.
[6] Rakauskienė, O.G., & Volodzkienė, L. (2017). The inequality of material living conditions in EU countries. Economics and Sociology, 10(1), 265-278. doi: 10.14254/2071- 789X.2017/10-1/19.
[7] Furceri, D., & Ostry, J. (2019). Robust determinants of income inequality. Oxford Review of Economic Policy, 35(3), 490-517. doi: 10.1093/oxrep/grz014.
[8] Clark, A., D’Ambrosio, C., & Lepinteur, A. (2021). The fall in income inequality during COVID-19 in four European countries. The Journal of Economic Inequality, 19, 489-507. doi: 10.1007/s10888-021-09499-2.
[9] Jones, C., & Kim, J. (2018). A Schumpeterian model of top income inequality. Journal of Political Economy, 126(5), 1785-1826.
[10] Kiss, L. (2020). Examination of agricultural income inequality in the European Union. Business Ethics and Leadership, 4(3), 36-45. doi: 10.21272/bel.4(3).36-45.2020.
[11] Darvas, Z. (2021). The unequal inequality impact of the COVID-19 pandemic. Retrieved from https://www.bruegel.org/sites/default/files/wp-content/uploads/2021/03/WP-2021-06_30032021.pdf.
[12] Darvas, Z. (2019). Why is it hard to reach the EU’s poverty target? Social Indicators Research, 141(3), 1081-1105. doi: 10.1007/s11205-018-1872-9.
[13] Soava, G., Mehedintu, A., & Sterpu, M. (2020). Relations between income inequalities, economic growth and poverty threshold: New evidences from EU countries panels. Technological and Economic Development of Economy, 26(2), 290-310. doi: 10.3846/tede.2019.11335.
[14] Cherkashyna, T. (2021). Clusterization of post-communist countries of the Central and Eastern Europe by income inequality level. Galician Economic Journal, 5(72), 41-52. doi: 10.33108/galicianvisnyk_tntu.
[15] Lockwood, E. (2021). The international political economy of global inequality. Review of International Political Economy, 28(2), 421-445. doi: 10.1080/09692290.2020.1775106.
[16] Palomino, J., Rodríguez, J., & Sebastián, R. (2020). Wage inequality and poverty effects of lock down and social distancing in Europe. INET Oxford Working Paper, 13, 1-51. doi: 10.1016/j.euroecorev.2020.103564.
[17] Picketty, T. (2020). Capital and ideology. Harvard: Belknap Press of Harvard University Press.
[18] Stilwell, F. (2019). The political economy of inequality. Oxford: Oxford Press.
[19] Savoia, F. (2020). Income inequality convergence across EU regions. Retrieved from https://www.econstor.eu/bitstream/10419/228479/1/LIS-WP-760-Nov-2020.pdf.
[20] Syahnur, S., Frohberg, K.K., Ryu, D., & Diantimala, Y. (2021). Enriching the socio-economic inequality model by using alternative indices. Economics and Sociology, 14(4), 47-72. doi: 10.14254/2071- 789X.2021/14-4/3.
[21] Stavytskyi, A., & Kozub, M. (2019). Modeling of income inequality in the European Union countries. Bulletin of Taras Shevchenko National University of Kyiv, 4(205), 34-40. doi: 10.17721/1728-2667.2019/205-4/5.
[22] Markina, I., Kalinichenko, O., & Lesiuk, V. (2019). Economic inequality: World experience and feature in Ukraine. Bulletin of Berdyansk University of Management and Business, 2, 13-18. doi: 10.33783/1977-4167-2019-46-2-13-18.
[23] Medgyesi, M., & Tóth I.G. (2021). Income, wealth, employment, and beyond. In Europe’s income, wealth, consumption, and inequality (pp. 177-195). Oxford: Oxford University Press. doi: 10.1093/oso/9780197545706.003.0005.
[24] Kuhn, M., Schularick, M., & Steins, U. (2020). Income and wealth inequality in America, (1949-2016). Journal of Political Econоmy, 128(9), 3469-3519. doi: 10.1086/708815.
[25] Brzeziński, M. (2017). Is high inequality an issue in Poland? Retrieved from https://ibs.org.pl/app/uploads/2017/06/IBS_Policy_Paper_01_2017_en.pdf.
[26] Kryvenko, N. (2022). Development of trade and economic relations of the BSEC countries. Scientific Bulletin of Mukachevo State University. Series “Economics”, 9(1), 9-23. doi: 10.52566/msu-econ.9(1).2022.9-23.
[27] Aliyev, T., & Aliyeva, Sh. (2022). Economic forecast of further development for oil suppliers to world markets against the background of the development of renewable energy sources. Scientific Horizons, 25(7), 123-132. doi: 10.48077/scihor.25(7).2022.123-132.
[28] Jensen, I. (2022). Analytical review of small farms of Ukraine registered as a natural person-entrepreneur of the 4th group: Influence of specific features of accounting and auditing on the dynamics of their development and decline as of 2021. Scientific Bulletin of Mukachevo State University. Series “Economics”, 9(1), 50-58. doi: 10.52566/msu-econ.9(1).2022.50-58.
[29] Cherevko, H., Tkachuk, V., Cherevko, I., Syrotyuk, H., & Syrotyuk, S. (2022). Solar energetics in Ukraine and the experience of the visegrad group countries. Scientific Horizons, 25(3), 85-97. doi: 10.48077/scihor.25(3).2022.85-97.