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Occupational structures across 25 EU countries: the importance of industry structure and technology in old and new EU countries

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  • Frank Cörvers
  • Jaanika Meriküll

Abstract

This paper analyzes the occupational structures of 25 European Union countries during the period 2000-2004. Shift-share analyses have been used to decompose cross-country differences in occupational structure into within industry and between industry effects. The static analysis for 2004 shows that the new Member States employ a lower share of skilled workers because their industry structure is biased towards less skill-intensive industries and because they use fewer skills within industries. The differences in the shares of (high-skilled) non-production workers are dominated by the between (industrial) effect. In contrast, the dynamic analysis of 2000-2004 shows that changes in the share of high-skilled non-production workers are mostly driven by within industry changes, which are probably related to skill-biased technological change. The results indicate the weakening of this process, at least for non-production workers. The diffusion of the increased demand for skills within sectors is witnessed for the higher income EU12 country group, but less strongly for the EU25 country group.
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  • Frank Cörvers & Jaanika Meriküll, 2007. "Occupational structures across 25 EU countries: the importance of industry structure and technology in old and new EU countries," Economic Change and Restructuring, Springer, vol. 40(4), pages 327-359, December.
    • Handle: RePEc:kap:ecopln:v:40:y:2007:i:4:p:327-359
    DOI: 10.1007/s10644-008-9035-7
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    Cited by:

    1. Andres Kuusk & Karsten Staehr & Uku Varblane, 2015. "Sectoral change and labour productivity growth during boom, bust and recovery," Bank of Estonia Working Papers wp2015-2, Bank of Estonia, revised 30 Dec 2015.
    2. Chico, José Ruiz & Sánchez, Antonio Rafael Peña & García, Mercedes Jiménez, 2021. "Análisis de competitividad de las exportaciones españolas con destino a la Unión Europea: especial énfasis en el sector agroalimentario," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 59(4), January.
    3. Qiang Li & Jason F. Kovacs & Geun Hee Choi, 2021. "High-technology employment growth in China: geographic disparities in economic structure and sectoral performance," Economic Change and Restructuring, Springer, vol. 54(4), pages 1025-1064, November.
    4. Sijmons, David & Bakens, Jessie, 2020. "Regional labour market structures," ROA Technical Report 004, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    5. František Střeleček & Radek Zdeněk & Jana Lososová, 2010. "Vývoj zaměstnanosti v znevýhodněných oblastech v letech 2002-2006 [Development of Employment in Less Favoured Areas in 2002-2006]," Politická ekonomie, Prague University of Economics and Business, vol. 2010(6), pages 761-773.
    6. Andres Kuusk & Karsten Staehr & Uku Varblane, 2017. "Sectoral change and labour productivity growth during boom, bust and recovery in Central and Eastern Europe," Economic Change and Restructuring, Springer, vol. 50(1), pages 21-43, February.

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    More about this item

    Keywords

    Occupational structure; Industry structure; Technological change; Technology diffusion; Transition economies; J21; J24; O33; P23;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • P23 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Factor and Product Markets; Industry Studies; Population

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