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

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  • Elżbieta Antczak

    (Faculty of Economics and Sociology, University of Lodz, Ul. Rewolucji 1905 r. 37, 90-214 Lodz, Poland)

  • Karolina Lewandowska-Gwarda

    (Faculty of Economics and Sociology, University of Lodz, Ul. Rewolucji 1905 r. 37, 90-214 Lodz, Poland)

Abstract

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.

Suggested Citation

  • Elżbieta Antczak & Karolina Lewandowska-Gwarda, 2019. "How Fast Is Europe Getting Old? Analysis of Dynamics Applying the Spatial Shift–Share Approach," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5661-:d:276279
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    References listed on IDEAS

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    1. Suahasil Nazara & Geoffrey J.D. Hewings, 2004. "Spatial Structure and Taxonomy of Decomposition in Shift‐Share Analysis," Growth and Change, Wiley Blackwell, vol. 35(4), pages 476-490, September.
    2. Edgar S. Dunn, 1960. "A Statistical And Analytical Technique For Regional Analysis," Papers in Regional Science, Wiley Blackwell, vol. 6(1), pages 97-112, January.
    3. Zhang, Xinyu & Yu, Jihai, 2018. "Spatial weights matrix selection and model averaging for spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 203(1), pages 1-18.
    4. Paul S Jones, 2012. "Job Creation and Regional Change under New Labour: A Shift-Share Analysis," Environment and Planning A, , vol. 44(6), pages 1348-1362, June.
    5. Peter Walkenhorst & Urban Sila, 2015. "The economic consequences of an ageing population in Slovenia," OECD Economics Department Working Papers 1242, OECD Publishing.
    6. Mahlberg, Bernhard & Freund, Inga & Crespo Cuaresma, Jesús & Prskawetz, Alexia, 2013. "Ageing, productivity and wages in Austria," Labour Economics, Elsevier, vol. 22(C), pages 5-15.
    7. Marcos Herrera & Jesus Mur & Manuel Ruiz-Marin, 2017. "A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix," Working Papers 18, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    8. Bernhard Mahlberg & Inga Freund & Alexia Prskawetz, 2013. "Ageing, productivity and wages in Austria: sector level evidence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(4), pages 561-584, November.
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    Cited by:

    1. Ireneusz Dabrowski & Lukasz Mach & Arkadiusz Kuswik & Lukasz Mikolajczyk, 2020. "Classical and Dynamic Shift-Share Cost Analysis for the Construction Sector in the European Union," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 760-775.
    2. Ruxu Sheng & Rong Zhou & Ying Zhang & Zidi Wang, 2021. "Green Investment Changes in China: A Shift-Share Analysis," IJERPH, MDPI, vol. 18(12), pages 1-15, June.

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