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Similarity Assessment of the Pension Systems of the New European Union Member States
- Source :
- ENTRENOVA-ENTerprise REsearch InNOVAtion, Volume 5, Issue 1
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Recent macroeconomic and demographic trends have resulted in new challenges for pension systems. One of these challenges is to create a sustainable pension system while simultaneously providing adequate pension benefits for current and future pensioners. This research explores how similar are pension systems of eleven European Union countries by using hierarchical cluster analysis for year 2016. Variables representing pension systems, as well as demographic, macroeconomic and labour market data were used to cluster these economies. Three clustering solutions were generated using hierarchical clustering approach, one for each variable group. Given the number of observed countries, only two cluster solutions were considered. According to the characteristics of the pension systems, countries that have greater problems of unsustainability are recognized. A similar group of countries also forms the cluster characterized by unfavourable demographic trends that make it more difficult to maintain sustainability. Romania stands out from other economies, based on macroeconomic indicators, as it recorded faster economic growth, greater labour productivity growth and lower unemployment rate in 2016. The findings of this study provide a guideline for future pension reforms, since they indicate which countries’ experience could be valuable in defining certain policy measures. This work is licensed under aCreative Commons Attribution-NonCommercial 4.0 International License.
- Subjects :
- Labour economics
Pension
Ward’s method
hierarchical cluster analysis
the new European Union member states
pension system
sustainability
Disease cluster
Hierarchical clustering
Variable (computer science)
Sustainability
Market data
ddc:330
Economics
media_common.cataloged_instance
C38
H55
European union
Ward's method
media_common
Subjects
Details
- ISSN :
- 15565068 and 27064735
- Database :
- OpenAIRE
- Journal :
- SSRN Electronic Journal
- Accession number :
- edsair.doi.dedup.....3717a3a237e1aa00595e2b209b1e7cee