Mirela Cristea, Graţiela Georgiana Noja, Yannis Thalassinos

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The research aims to identify several dissimilarities between the European Union Member States (EU-27 MS) in terms of welfare and labour market dimensions under the sheer implications of the ageing phenomenon. The quantitative research methodology emphasizes the cluster analysis based on the Ward method, performed for the year 2018. Main results denote that only two countries (Denmark and Sweden) registered soaring performances, especially for the labour market credentials (particularly the employment rate and active policies). Other 10 EU-27 MS accounted medium performances in terms of well-being, but also the lowest achievements as regards the old dependency rate, the employment rate of persons aged 55-64 and the birth rate. This paper brings to the fore the keen need to redesign specific policies and tailored strategies by the responsible authorities and business representatives across the EU, in order to enhance achievements and new solutions for the difficulties brought by population ageing, with spillover effects on the labour market integration of older employees and overall economic welfare. The study stands out through the new integrative approach based on cluster analysis that underlines the dissimilarities between the EU member states, and the features of each group of countries, in a pre-settled framework, thus grasping the difficulties, but also the opportunities faced in terms of ageing and economic welfare.


labour market, economic development, demographic economics, cluster analysis

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Bazzani, T. (2017). Italy, Denmark and Germany: A comparative analysis in active and passive labour market policies. European Labour Law Journal, 8 (2), 133–153. https://doi.org/10.1177/2031952517712124.

Calvo-Sotomayor, I., Laka, J.P. & Aguado, R. (2019). Workforce ageing and labour productivity in Europe. Sustainability, 11 (20), 5851. https://doi.org/10.3390/su11205851.

Conde-Sala, J. L., Portellano-Ortiz, C., Calvó-Perxas, L. & Garre-Olmo, J. (2017). Quality of life in people aged 65+ in Europe: Associated factors and models of social welfare—analysis of data from the SHARE project (Wave 5). Quality of Life Research, 26, 1059–1070. https://doi.org/10.1007/s11136-016-1436-x.

Cornish, R. (2007). Statistics: cluster analysis. Mathematics Learning Support Centre, 1-5.

Cristea, M., Noja, G. G., Dănăcică, D. E. & Ştefea, P. (2020a). Population ageing, labour productivity and economic welfare in the European Union. Economic Research - Ekonomska Istraživanja, 33 (1), 1354-1376. https://doi.org/10.1080/1331677X.2020.1748507.

Cristea, M., Noja, G. G., Ponea, S. & Banaduc, I. (2020b). Labor productivity in the complex interplay between health and well-being of older employees: A focus on the New European Union Member States under the Covid-19 pandemic crisis. Economic and Social Development: Book of Proceedings, 69-78.

European Commission, (2020a). Eurostat Database. Retrieved from: http://ec.europa.eu/eurostat/data/database, Accessed on: 16 September 2020.

European Commission, (2020b). Employment, Social Affairs & Inclusion. Statistical data. Retrieved from: https://ec.europa.eu/social/main.jsp?catId=1143&intPageId=3227&langId=en, Accessed on: 16 September 2020.

Evans, A. B., Nistrup, A. & Pfister, G. (2018). Active ageing in Denmark; Shifting institutional landscapes and the intersection of national and local priorities. Journal of aging studies, 46, 1-9. https://doi.org/10.1016/j.jaging.2018.05.001.

Härdle, W. K. & Simar, L. (2019). Applied multivariate statistical analysis 5th edition, Switzerland: Springer, Cham. https://doi.org/10.1007/978-3-030-26006-4_13.

Jivraj, S., Goodman, A., Pongiglione, B. & Ploubidis, G. B. (2020). Living longer but not necessarily healthier: The joint progress of health and mortality in the working-age population of England. Population Studies, 74 (3), 399-414. https://doi.org/10.1080/00324728.2020.1767297.

Kashnitsky, I. & Aburto, J. M. (2020). COVID-19 in unequally ageing European regions. World development, 136, 105170. https://doi.org/10.1016/j.worlddev.2020.105170.

Maestas, N., Mullen, K. J. & Powell, D. (2016). The effect of population aging on economic growth, the labor force and productivity. National Bureau of Economic Research, Inc., Working Paper Series No. 22452, Retrieved from: https://www.nber.org/papers/w22452, Accessed on: 02 October 2020.

McKibbin, W. & Fernando, R. (2020). The economic impact of COVID-19. In: Baldwin, R. & Weder di Mauro, B. (Eds.), Economics in the Time of COVID-19 (pp. 45-52). London: Centre for Economic Policy Research (CEPR).

Noja, G. G. & Cristea, M. (2018). Working conditions and flexicurity measures as key drivers of economic growth: Empirical evidence for Europe. Ekonomicky Casopis (Journal of Economics), 66 (7), 719-749.

Rovan, J. & Sambt, J. (2003). Socio-economic differences among Slovenian municipalities: A cluster analysis approach. Development in Applied Statistics, 19, 265-278.

Sidlo, L., Sprocha, B. & Durcek, P. (2020). A retrospective and prospective view of current and future population ageing in the European Union 28 countries. Moravian Geographical Reports, 28 (3), 187-207. https://doi.org/10.2478/mgr-2020-0014.

Skufina, T., Baranov, S. & Samarina, V. (2020). Modeling and forecasting GDP production in russia, taking into account changes in the number of working-age population caused by the retirement age increasing. In: Solovev D., Savaley V., Bekker A. & Petukhov V. (Eds.), Proceeding of the International Science and Technology Conference "FarEastСon 2019". Smart Innovation, Systems and Technologies, 172 (pp. 201-209). Singapore: Springer. https://doi.org/10.1007/978-981-15-2244-4_17.

UNECE/European Commission, (2019). 2018 Active Ageing Index: Analytical report. Report prepared by Giovanni Lamura and Andrea Principi, Geneva, June. Retrieved from: https://www.unece.org/fileadmin/DAM/pau/age/Active_Ageing_Index/Stakeholder_Meeting/ACTIVE_AGEING_INDEX_TRENDS_2008-2016_web_cover_reduced.pdf, Accessed on: 02 September 2020.

Thalassinos, E., Cristea, M. & Noja, G. G. (2019). Measuring active ageing within the European Union: Implications on economic development. Equilibrium. Quarterly Journal of Economics and Economic Policy, 14 (4), 591-609. https://doi.org/10.24136/eq.2019.028.

The World Bank, (2020). World Development Indicators, Retrieved from: https://databank.worldbank.org/reports.aspx?source=world-development-indicators, Accessed on: 12 September 2020.

Wolf, M. (2020). Why inflation could be on the way back, Financial Review, Retrieved from: https://www.afr.com/policy/economy/why-inflation-could-be-on-the-way-back-20201118-p56fle, Accessed on: 10 September 2020.

DOI: https://doi.org/10.22190/FUEO201226003C


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