Politická ekonomie 2023, 71(1):23-45 | DOI: 10.18267/j.polek.1377

Komparácia krajín EÚ na základe nástrojov sociálnej politiky na zmiernenie finančnej zraniteµnosti domácností

Nikola ©ubová ORCID...a
a Technická univerzita v Koąiciach, Ekonomická fakulta, Koąice, Slovensko

Comparison of EU Countries Based on Social Policy Instruments to Mitigate Financial Vulnerability of Households

The social policy of the European Union is focused mainly on the most vulnerable group of citizens. The social instruments that countries use to increase the living conditions and to decrease social exclusion and vulnerability can differ between countries. The submitted paper uses cluster analysis to compare 27 member states of the European Union based on their social policy instruments in 2019. The study analyses the dependence of social policy instruments and household financial vulnerability using correlation and regression analysis. It examines whether higher levels of social benefits and government expenditure result in lower financial vulnerability. However, the results suggest that the financial vulnerability of households is not associated with low benefits. Clusters reporting a low level of benefits recorded a low financial vulnerability of households and vice versa. Results of the correlation and cluster analysis prove that the increase of the first factor (benefits in material need, expenditure on active labour market policy, family benefits, disability benefits) and the third factor (unemployment benefits) are associated with a decrease in financial vulnerability of households.

Keywords: Household, social policy, financial vulnerability, cluster analysis, principal components, factor models
JEL classification: C38, H53, I38

Received: January 31, 2022; Revised: November 5, 2022; Accepted: November 13, 2022; Published: February 25, 2023  Show citation

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©ubová, N. (2023). Comparison of EU Countries Based on Social Policy Instruments to Mitigate Financial Vulnerability of Households. Politická ekonomie71(1), 23-45. doi: 10.18267/j.polek.1377
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References

  1. Bardhoshi, G., Um, B., Erford, B. T. (2020). Conducting a Cluster Analysis in Couseling Research: Four Easy Steps. Counseling Outcome Research and Evaluation, 12(1), 54-62, https://doi.org/10.1080/21501378.2020.1768522 Go to original source...
  2. Bartlett, M. S. (1951). The effect of standardization on a Chi-square approximation in factor analysis. Biometrika, 38(3-4), 337-344, https://doi.org/10.1093/biomet/38.3-4.337 Go to original source...
  3. Block, F. (2014). The Land of Too Much: American Abundance and the Paradox of Poverty by Monica Prasad. American Journal of Sociology, 119(6), 1785-1787, https://doi.org/10.1086/675971 Go to original source...
  4. Carter, B., Roelen, K., Enfield, S., et al. (2019). Social protection topic guide. Brighton: Institute of Development Studies. K4D Emerging Issues Report No. 18. Dostupné na: https://opendocs.ids.ac.uk/opendocs/bitstream/handle/20.500.12413/14885/Social_Protection_Topic_Guide_online.pdf?sequence=1&isAllowed=y
  5. Cechin-Crista, P., Mihut, A., Dobrin, G. I., et al. (2013). The Social Policy of the European Union. International Journal of Business and Social Science, 4(10), 16-25.
  6. Clemente, J., Marcuello, C., Montañes, A. (2012). Government Social Spending and GDP: has there been a change in social policy? Applied Economics, 44(22), 2895-2905, https://doi.org/10.1080/00036846.2011.568401 Go to original source...
  7. Comelli, M. (2021). The impact of welfare on household debt. Sociological Spectrum, 41(2), 154-176, https://doi.org/10.1080/02732173.2021.1875088 Go to original source...
  8. Crouch, C. (2009). Privatised Keynesianism: An Unacknowledged Policy Regime. The British Journal of Politics & International Relations, 11(3), 382-399, https://doi.org/10.1111/j.1467-856X.2009.00377.x Go to original source...
  9. Dudzevičiūtė, G., ©imelytė, A., Liučvaitienė, A. (2018). Government expenditure and economic growth in the European Union countries. International Journal of Social Economics, 45(2), 372-386, https://doi.org/10.1108/ijse-12-2016-0365 Go to original source...
  10. EK (2015). Social protection systems in the EU: financing arrangements and the effectiveness and efficiency of resource allocation. Report jointly prepared by the Social Protection Committee and the European Commission Services. Luxembourg: Publications Office of the European Union. ISBN 978-92-79-41243-1. https://doi.org/10.2767/983538 Go to original source...
  11. EK (2021). General government expenditure by function. Bruxelles: Commission européenne [Brussels: European Commission]. Dostupné na: https://ec.europa.eu/eurostat/databrowser/view/tepsr_sp110/default/tablelang=en
  12. EK (2022). Gross debt-to-income ratio of households. Bruxelles: Commission européenne [Brussels: European Commission]. Dostupné na: https://ec.europa.eu/eurostat/databrowser/view/tec00104/default/table?lang=en
  13. Ferreiro, J., García-del-Valle, M. T., Gómez, C. (2013). An Analysis of the Convergence of the Composition of Public Expenditures in European Union Countries. American Journal of Economics and Sociology, 72(4), 799-825, https://doi.org/10.1111/ajes.12028 Go to original source...
  14. Fonchamnyo, D. C., Sama, M. C. (2016). Determinants of public spending efficiency in education and health: evidence from selected CEMAC countries. Journal of Economics and Finance, 40(1), 199-210, https://doi.org/10.1007/s12197-014-9310-6 Go to original source...
  15. Fox, J., Weisberg, S., Price, B., et al. (2020). Package 'car'. Wien: R Foundation for Statistical Computing Dostupné na: https://cran.r-project.org/web/packages/car/car.pdf
  16. Garben, S. (2019). The European Pillar of Social Rights: An Assessment of its Meaning and Significance. In: Leinarte, E., Odudu, O. Cambridge Yearbook of European Legal Studies. Cambridge: Cambridge University Press. ISSN: 2049-7636. https://doi.org/10.1017/cel.2019.3 Go to original source...
  17. Halásková, R. (2018). Structure of General Government Expenditure on Social Protection in the EU Member States. Montenegrin Journal of Economics, 14(4), 7-21, https://doi.org/10.14254/1800-5845/2018.14-4.1 Go to original source...
  18. Hartigan, J. A., Wong, M. A. (1979). Algorithm AS 136: A K-Means Clustering Algorithm. Journal of the Royal Statistical Society, 28(1), 100-108, https://doi.org/10.2307/2346830 Go to original source...
  19. Hill, H. D., Romich, J., Mattingly, M. J., et al. (2020). An Introduction to Household Economic Instability and Social Policy. Social Service Review, 91(3), 371-389, https://doi.org/10.1086/694110 Go to original source...
  20. Hone, T., Mirelman, A. J., Rasella, D., et al. (2019). Effect of economic recession and impact of health and social protection expenditures on adult mortality: a longitudinal analysis of 5565 Brazilian municipalities. Lancet Global Health, 7(11), 1575-1583, https://doi.org/10.1016/S2214-109X(19)30409-7 Go to original source...
  21. Hothorn, T., Zeileis, A., Farebrother, R. W., et al. (2022). Package 'lmtest'. Wien: R Foundation for Statistical Computing. Dostupné na: https://cran.r-project.org/web/packages/lmtest/lmtest.pdf
  22. Charrad, M., Ghazzali, N., Boiteau, V., et al. (2014). NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set. Journal of Statistical Software, 61(6), https://doi.org/10.18637/jss.v061.i06 Go to original source...
  23. Charrad, M., Ghazzali, N., Boiteau, V., et al. (2015). Package 'NbClust'. Viedeň: R Foundation for Statistical Computing. Dostupné na: https://cran.r-project.org/web/packages/NbClust/NbClust.pdf
  24. Kaiser, H. F. (1960). The Application of Electronic Computers to Factor Analysis. Educational and Psychological Measurement, 20(1), 141-151, http://doi.org/10.1177/001316446002000116 Go to original source...
  25. Leitner, S., Stehrer, R. (2016). Development of Public Spending Structures in the EU Member States: Social Investment and its Impact on Social Outcomes. The Vienna Institute for International Economic Studies Working paper No. 128.
  26. Lucian, P. (2015). From the Lisbon strategy to Europe 2020. Studies in Business and Economics, 10(2), 53-61, https://doi.org/10.1515/sbe-2015-0020 Go to original source...
  27. MacRae, H., Wood, D. E. (2018). The social dimension of the European Union. In: Verdun, A., Brunet-Jailly, E., Hurrelmann, A. European Union governance and policy-making: A Canadian perspective. Toronto: University of Toronto, 271-297. ISBN 9781487593605.
  28. McClain, J. O., Rao, V. R. (1975). CLUSTISZ: A Program to Test for The Quality of Clustering of a Set of Objects. Journal of Marketing Research, 12(4), 456-460.
  29. Milligan, G. W. (1981). A Monte Carlo Study of Thirty Internal Criterion Measures for Cluster Analysis. Psychometrika, 46(2), 187-199, https://doi.org/10.1007/BF02293899 Go to original source...
  30. Milligan, G. W., Cooper, M. C. (1985). An Examination of Procedures for Determining the Number of Clusters in a Data Set. Psychometrika, 50(2), 159-179, http://doi.org/10.1007/BF02294245 Go to original source...
  31. MISSOC (2021). Comparative tables. Bruxelles: Commission européenne [Brussels: European Commission]. Dostupné na: https://www.missoc.org/missoc-database/comparative-tables/?test=
  32. Montgomerie, J. (2013). America's debt safety-net. Public Administration, 91(4), 871-888, https://doi.org/10.1111/j.1467-9299.2012.02094.x Go to original source...
  33. Montgomerie, J., Büdenbender, M. (2015). Round the Houses: Homeownership and Failures of Asset-Based Welfare in the United Kingdom. New Political Economy, 20(3), 386-405, https://doi.org/10.1080/13563467.2014.951429 Go to original source...
  34. OECD (2019). Can Social Protection Be an Engine for Inclusive Growth? Paris: OECD Publishing. Occasional Paper Series No. 3, 96. Dostupné na: https://www.oecd-ilibrary.org/ docserver/9d95b5d0-en.pdf?expires=1622105686& id=id&accname=guest& checksum=BF7BE9164216FE1758E2471B44D000C9
  35. OECD (2021). Public expenditure and participant stocks on LMP. Paris: OECD. Dostupné na: https://stats.oecd.org/index.aspx?DataSetCode=LMPEXP
  36. Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2(11), 559-572, https://doi.org/10.1080/14786440109462720 Go to original source...
  37. Pochet, P. (2020). Twenty years of the publication 'Social policy in the European Union': what have we learned? In: Vanherske, B., Ghailani, D., Spasova, S., et al. Social policy in the European Union 1999-2019: the long and winding road. Bruxelles: European Social Observatory and the European Trade Union Institute, s. 232. ISBN 978-2-87452-549-6.
  38. Ratkowsky, D. A., Lance, G. N. (1978). A Criterion for Determining the Number of Groups in a Classification. Australian Computer Journal, 10(3), 115-117.
  39. Revelle, W. (2021). Package 'psych'. Wien: R Foundation for Statistical Computing. Dostupné na: https://cran.r-project.org/web/packages/psych/psych.pdf
  40. Rodríguez-Vives, M., Kezbere, L. (2019). Social spending, a euro area cross-country comparison. ECB Economic Bulletin, Issue 5/2019.
  41. Sáez, M. P., Álvarez-García, S., Rodríguez, D. C. (2017). Government expenditure and economic growth in the European Union countries: New evidence. Bulletin of Geography, Socio-Economic Series, 36(36), 127-133, https://doi.org/10.1515/bog-2017-0020 Go to original source...
  42. Schmid, G. (2018). Europa in Arbeit. Plädoyer für eine neue Vollbeschäftigung durch inklusives Wachstum. WSI MITTEILUNGEN, 72(2), 87-95, https://doi.org/10.5771/0342-300X-2019-2-87 Go to original source...
  43. Scott, A. J., Symons, M. J. (1971). Clustering Methods Based on Likelihood Ratio Criteria. Biometrics, 27(2), 387-397, https://doi.org/10.2307/2529003 Go to original source...
  44. Soetaert, K. (2018). Package 'shape'. Wien: R Foundation for Statistical Computing. Dostupné na: https://cran.r-project.org/web/packages/shape/shape.pdf
  45. Sucur, Z. (2016). The Role of Social Protection and Social Expenditure Developments in the Economic Crisis. Revija za socijalnu politiku, 23(1), 7-38, https://doi.org/10.3935/rsp.v23i1.1293 Go to original source...
  46. Terraneo, M. (2018). Households' financial vulnerability in Southern Europe. Journal of Economic Studies, 45(3), 521-542, https://doi.org/10.1108/JES-08-2016-0162 Go to original source...
  47. Vanherske, B. (2020). From the Lisbon strategy to the European pillar of social rights: the many lives of the social open method of coordination. In: Vanherske, B., Ghailani, D., Spasova, S., et al. Social policy in the European Union 1999-2019: the long and winding road. Bruxelles: European Social Observatory and the European Trade Union Institute, s. 232. ISBN 978-2-87452-549-6.
  48. Wang, C., Caminada, K., Goudswaard, K. (2012). The Redistributive Effect of Social Transfer Programmes and Taxes: A decomposition across countries. International Social Security Review, 65(3), 27-48, https://doi.org/10.1111/j.1468-246X.2012.01435.x Go to original source...
  49. Ward, J. H., Jr. (1963). Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association, 58, 236-244, https://doi.org/10.1080/01621459.1963.10500845 Go to original source...
  50. Warnes, G. R., Bolker, B., Bonebakker, L., et al. (2016). Package 'gplots'. Wien: R Foundation for Statistical Computing. Dostupné na: https://cran.r-project.org/web/packages/gplots/gplots.pdf
  51. Wuertz, D., Setz, T., Chalabi, Y., et al. (2022). Package "fBasics" Wien: R Foundation for Statistical Computing. Dostupné na: https://cran.r-project.org/web/packages/fBasics/fBasics.pdf

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