IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i20p5661-d276279.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/20/5661/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/20/5661/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. Peter Walkenhorst & Urban Sila, 2015. "The economic consequences of an ageing population in Slovenia," OECD Economics Department Working Papers 1242, OECD Publishing.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Börsch-Supan, Axel & Weiss, Matthias, 2016. "Productivity and age: Evidence from work teams at the assembly line," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 30-42.
    2. Benoît Mahy & François Rycx & Guillaume Vermeylen & Mélanie Volral, 2022. "Productivity and wage effects of firm‐level upstreamness: Evidence from Belgian linked panel data," The World Economy, Wiley Blackwell, vol. 45(7), pages 2222-2250, July.
    3. Pilar Campoy-Muñoz & Manuel Alejandro Cardenete & M. Carmen Delgado, 2015. "Employment trends in the key sectors of the Andalusian economy," ERSA conference papers ersa15p91, European Regional Science Association.
    4. Umberto Di Maggio & Giuseppe Notarstefano & Giuseppe Terzo, 2020. "The spatial determinants of employment growth in the cooperative sector: an analysis of Italian provinces," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 74(3-4), pages 123-134, July-Dece.
    5. Kim, Hoolda & Song Lee, Bun, 2023. "Aging workforce, wages, and productivity: Do older workers drag productivity down in Korea?," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
    6. Elias Giannakis & Adriana Bruggeman, 2017. "Economic crisis and regional resilience: Evidence from Greece," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 451-476, August.
    7. Rycx, François & Saks, Yves & Tojerow, Ilan, 2016. "Misalignment of Productivity and Wages across Regions? Evidence from Belgian Matched Panel Data," IZA Discussion Papers 10336, Institute of Labor Economics (IZA).
    8. Romina Giuliano & Stephan Kampelmann & Benoît Mahy & François Rycx, 2017. "Short Notice, Big Difference? The Effect of Temporary Employment on Firm Competitiveness across Sectors," British Journal of Industrial Relations, London School of Economics, vol. 55(2), pages 421-449, June.
    9. N. N., 2015. "WIFO-Monatsberichte, Heft 11/2015," WIFO Monatsberichte (monthly reports), WIFO, vol. 88(11), November.
    10. Kingsley E. Haynes & Jitendra Parajuli, 2014. "Shift-share analysis: decomposition of spatially integrated systems," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 16, pages 315-344, Edward Elgar Publishing.
    11. Aisa, Rosa & Larramona, Gemma & Pueyo, Fernando, 2015. "Active aging, preventive health and dependency: Heterogeneous workers, differential behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 1-9.
    12. Roberto Gabriele & Enrico Tundis & Enrico Zaninotto, 2018. "Ageing workforce and productivity: the unintended effects of retirement regulation in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(1), pages 163-182, April.
    13. Peters, Cornelius, 2015. "Do age complementarities affect labour productivity? Evidence from German firm level data," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112941, Verein für Socialpolitik / German Economic Association.
    14. Giuseppe Croce & Andrea Ricci & Giuliana Tesauro, 2019. "Pensions reforms, workforce ageing and firm-provided welfare," Applied Economics, Taylor & Francis Journals, vol. 51(32), pages 3480-3497, July.
    15. Elías Melchor-Ferrer, 2020. "Determinants of labour productivity growth in Spanish and Portuguese regions: a spatial shift-share approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(1), pages 45-65, August.
    16. Miguel A. Márquez & Julián Ramajo & Geoffrey J. D. Hewings, 2009. "Incorporating Sectoral Structure into Shift–Share Analysis," Growth and Change, Wiley Blackwell, vol. 40(4), pages 594-618, December.
    17. Martin Falk & Werner Hölzl & Harald Oberhofer, 2015. "Die Bedeutung von unternehmensbezogenen Individualdaten für die empirische Wirtschaftsforschung und wirtschaftspolitische Beratung," WIFO Monatsberichte (monthly reports), WIFO, vol. 88(11), pages 845-857, November.
    18. Giuseppe Espa & Danila Filipponi & Diego Giuliani & Davide Piacentino, 2012. "Business change in Italian regions. A spatial shift-share approach to plant-level data," Department of Economics Working Papers 1205, Department of Economics, University of Trento, Italia.
    19. Valente J. Matlaba & Mark Holmes & Philip McCann & Jacques Poot, 2014. "Classic and Spatial Shift-Share Analysis of State-Level Employment Change in Brazil," Advances in Spatial Science, in: Karima Kourtit & Peter Nijkamp & Robert Stimson (ed.), Applied Regional Growth and Innovation Models, edition 127, chapter 0, pages 139-172, Springer.
    20. Andrea Garnero & François Rycx & Isabelle Terraz, 2020. "Productivity and Wage Effects of Firm‐Level Collective Agreements: Evidence from Belgian Linked Panel Data," British Journal of Industrial Relations, London School of Economics, vol. 58(4), pages 936-972, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5661-:d:276279. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.