Pregled bibliografske jedinice broj: 1020262
Similarity Assessment of the Pension Systems of the New European Union Member States
Similarity Assessment of the Pension Systems of the New European Union Member States // Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference 2019 / Milković, Marin ; Seljan, Sanja ; Pejić Bach, Mirjana ; Peković, Sanja ; Perovic, Djurdjica (ur.).
Zagreb: Udruga za promicanje inovacija I istraživanja u ekonomiji IRENET, 2019. str. 50-57 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1020262 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Similarity Assessment of the Pension Systems of the New European Union Member States
Autori
Krpan, Mira ; Pavković, Ana ; Žmuk, Berislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference 2019
/ Milković, Marin ; Seljan, Sanja ; Pejić Bach, Mirjana ; Peković, Sanja ; Perovic, Djurdjica - Zagreb : Udruga za promicanje inovacija I istraživanja u ekonomiji IRENET, 2019, 50-57
Skup
ENTerprise REsearch InNOVAtion (ENTRENOVA) Conference 2019
Mjesto i datum
Rovinj, Hrvatska, 12.09.2019. - 14.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
hierarchical cluster analysis ; the new European Union member states ; pension system ; sustainability ; Ward’s method
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Zagreb
