Assessment of changes in population ageing in regions of the V4 countries with application of multidimensional scaling

Grażyna Dehnel , Elżbieta Gołata , Marek Walesiak

Abstract

The study investigates the variation in population ageing in four Visegrad countries (V4) and across their NUTS2 regions in 2016 compared to 2005. Population ageing was assessed using the median age, old-age rate, double ageing index, ageing index, and old-age dependency ratio. The authors took into account causes that explain changes occurring at the bottom and at the top of the population pyramid. By applying multidimensional scaling combined with the composite indicator and the Theil decomposition, the study identified differences in the level of population ageing in a two-dimensional space and the dynamics of these changes. Such an approach, with the visualization of the results, enriches this interpretation. In the reference period the process of population ageing in the V4 countries and their regions accelerated considerably. The disproportion between regions has increased in Slovakia, slightly increased in Poland, and decreased in the Czech Republic and Hungary.
Author Grażyna Dehnel (WIiGE / KS)
Grażyna Dehnel,,
- Department of Statistics
, Elżbieta Gołata (WIiGE / KS)
Elżbieta Gołata,,
- Department of Statistics
, Marek Walesiak - Wroclaw University of Economics
Marek Walesiak,,
-
Journal seriesArgumenta Oeconomica, ISSN 1233-5835, (N/A 40 pkt)
Issue year2020
No1 (44)
Pages77-100
Publication size in sheets1.15
Keywords in Polishskalowanie wielowymiarowe, rozkład Theila, wskaźniki kompozytowe, starzenie, program R
Keywords in Englishmultidimensional scaling, Theil decomposition, composite indicators, ageing, R program
ASJC Classification1408 Strategy and Management; 2002 Economics and Econometrics
DOIDOI:10.15611/aoe.2020.1.04
Languageen angielski
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 25-06-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.191; WoS Impact Factor: 2017 = 0.178 (2) - 2017=0.222 (5)
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