How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share Approach

In this article, we analyzed the dynamics of the population aging process in Europe. The study was conducted on the basis of statistical data on the number of people aged 65 and above per 1000 of the population in 32 European countries in the years 1991−2018. The analyses also took into ac...

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Main Authors: Elżbieta Antczak, Karolina Lewandowska-Gwarda
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/20/5661
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spelling doaj-7ff4c766ebf3449e833fed201f69a1452020-11-25T02:16:16ZengMDPI AGSustainability2071-10502019-10-011120566110.3390/su11205661su11205661How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share ApproachElżbieta Antczak0Karolina Lewandowska-Gwarda1Faculty of Economics and Sociology, University of Lodz, Ul. Rewolucji 1905 r. 37, 90-214 Lodz, PolandFaculty of Economics and Sociology, University of Lodz, Ul. Rewolucji 1905 r. 37, 90-214 Lodz, PolandIn this article, we analyzed the dynamics of the population aging process in Europe. The study was conducted on the basis of statistical data on the number of people aged 65 and above per 1000 of the population in 32 European countries in the years 1991−2018. The analyses also took into account the structure of the population by gender in five age groups: 65−69, 70−74, 75−79, 80−84, and 85 and above. An extensive analysis of the rate of changes in the magnitude of the phenomenon was carried out, which gave an answer to the question about how quickly Europe is aging. We applied the spatial dynamic shift−share method. The spatial variant of the method allowed, among others, indicating countries where the pace of population aging in a specific age group was faster/slower than in locations neighboring the examined country. Specific regions characterized by the fastest population aging were also indicated, and shares of structural and sectoral factors of the changes were estimated. Furthermore, based on the values of local competitiveness indicators, regions were identified where the aging of the population decelerated or accelerated the phenomenon in neighboring countries in the study period.https://www.mdpi.com/2071-1050/11/20/5661aging of the populationsustainable developmentstructural and geographical analysisspatial relationshipsspatiotemporal analysisdynamics of changeseuropean countries
collection DOAJ
language English
format Article
sources DOAJ
author Elżbieta Antczak
Karolina Lewandowska-Gwarda
spellingShingle Elżbieta Antczak
Karolina Lewandowska-Gwarda
How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share Approach
Sustainability
aging of the population
sustainable development
structural and geographical analysis
spatial relationships
spatiotemporal analysis
dynamics of changes
european countries
author_facet Elżbieta Antczak
Karolina Lewandowska-Gwarda
author_sort Elżbieta Antczak
title How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share Approach
title_short How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share Approach
title_full How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share Approach
title_fullStr How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share Approach
title_full_unstemmed How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share Approach
title_sort how fast is europe getting old? analysis of dynamics applying the spatial shift–share approach
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-10-01
description In this article, we analyzed the dynamics of the population aging process in Europe. The study was conducted on the basis of statistical data on the number of people aged 65 and above per 1000 of the population in 32 European countries in the years 1991−2018. The analyses also took into account the structure of the population by gender in five age groups: 65−69, 70−74, 75−79, 80−84, and 85 and above. An extensive analysis of the rate of changes in the magnitude of the phenomenon was carried out, which gave an answer to the question about how quickly Europe is aging. We applied the spatial dynamic shift−share method. The spatial variant of the method allowed, among others, indicating countries where the pace of population aging in a specific age group was faster/slower than in locations neighboring the examined country. Specific regions characterized by the fastest population aging were also indicated, and shares of structural and sectoral factors of the changes were estimated. Furthermore, based on the values of local competitiveness indicators, regions were identified where the aging of the population decelerated or accelerated the phenomenon in neighboring countries in the study period.
topic aging of the population
sustainable development
structural and geographical analysis
spatial relationships
spatiotemporal analysis
dynamics of changes
european countries
url https://www.mdpi.com/2071-1050/11/20/5661
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