IDEAS home Printed from https://ideas.repec.org/a/liu/liucej/v17y2020i2p253-275.html
   My bibliography  Save this article

Reindustrialization patterns in the post-socialist EU members: a comparative study between 2000 and 2017

Author

Listed:
  • Benedek Nagy, Imre Lengyel, Beáta Udvari

Abstract

Reindustrialization is gaining focus in developed countries and manufacturing is again becoming a priority in the economic policy documents of the European Union (EU). We investigate whether there is reindustrialization happening in the EU, and if so, whether the evolution of manufacturing is similar among the different member states. For this analysis, we selected two country groups, ten post-socialist member states (PS10) and the core fifteen members (EU15). We use a decomposition method to separate the effects of changing labor productivity in manufacturing, changing share of manufacturing in gross value added and changing aggregate labor productivity on the change in manufacturing’s share in employment between 2000 and 2017. We find deindustrialization in the EU15 group: a decrease in manufacturing employment share as well as manufacturing employment itself along with a stagnant share in total gross value added. Meanwhile the Post-socialist country group shows signs of reindustrialization: the share of manufacturing employment slightly increased along with an increasing employment, and a dynamically increasing gross value added share. We also find that after the global financial crisis the evolution of the manufacturing sector in the Post-socialist group is more similar to that in the EU15 group than it was before the crisis.

Suggested Citation

  • Benedek Nagy, Imre Lengyel, Beáta Udvari, 2020. "Reindustrialization patterns in the post-socialist EU members: a comparative study between 2000 and 2017," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 17(2), pages 253-275, December.
  • Handle: RePEc:liu:liucej:v:17:y:2020:i:2:p:253-275
    as

    Download full text from publisher

    File URL: https://ejce.liuc.it/18242979202002/182429792020170205.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Reindustrialization; Deindustrialization; Post-socialist; Labor intensity;
    All these keywords.

    JEL classification:

    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

    Statistics

    Access and download statistics

    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:liu:liucej:v:17:y:2020:i:2:p:253-275. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Laura Ballestra (email available below). General contact details of provider: https://edirc.repec.org/data/liuccit.html .

    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.