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Labour Force Paths as Industry Linkages: A Perspective on Clusters and Industry Life Cycles

Author

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  • Maliranta, Mika
  • Nikulainen, Tuomo
Abstract
We make several findings related to the dynamics of labour markets and industry life cycles in our analysis, which makes use of longitudinal employer-employee data that cover the whole working age population in Finland. Firstly, we find that across industry transitions of the employed are common. Secondly, employment transitions portray a network of industry linkages where specific industry clusters can be identified, as well as labour flow paths with long backward and forward linkages. Thirdly, most of the upstream labour mobility linkages are end up in the education industry, which thus seems to be an ancestor of the most of the industries. On the other hand, we find eight totally isolated industries that had no distinct backward or forward linkages in the labour markets. Finally, we show that the labour flows are a significant indicator for industry life cycles.

Suggested Citation

  • Maliranta, Mika & Nikulainen, Tuomo, 2008. "Labour Force Paths as Industry Linkages: A Perspective on Clusters and Industry Life Cycles," Discussion Papers 1168, The Research Institute of the Finnish Economy.
    • Handle: RePEc:rif:dpaper:1168
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    References listed on IDEAS

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    Cited by:

    1. Omar A Guerrero & Robert L Axtell, 2013. "Employment Growth through Labor Flow Networks," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-12, May.
    2. Frank Neffke & Martin Svensson Henning, 2009. "Skill-relatedness and firm diversification," Papers on Economics and Evolution 2009-06, Philipps University Marburg, Department of Geography, revised Oct 2010.
    3. Sabrina Aufiero & Giordano De Marzo & Angelica Sbardella & Andrea Zaccaria, 2023. "Mapping job complexity and skills into wages," Papers 2304.05251, arXiv.org.
    4. Paolo Seri, 2014. "The knowledge impact of new decentralized universities: an empirical study on Italy," Working Papers 1402, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2014.
    5. Nikulainen, Tuomo & Kulvik, Martti, 2009. "How General Are General Purpose Technologies? Evidence from nano-, bio- and ICT-technologies in Finland," Discussion Papers 1208, The Research Institute of the Finnish Economy.
    6. Simón Sánchez‐Moral & Mário Vale & Alfonso Arellano, 2022. "Skill‐Relatedness and Regional Economic Development in Spain during the International Crisis and the Post‐Crisis Period," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 573-602, June.
    7. Nikulainen, Tuomo & Pajarinen, Mika, 2013. "Industry restructuring in the ICT sector – What does labor mobility tell us about skill relatedness and knowledge spillovers?," ETLA Working Papers 17, The Research Institute of the Finnish Economy.
    8. Storz, Cornelia & Riboldazzi, Federico & John, Moritz, 2015. "Mobility and innovation: A cross-country comparison in the video games industry," Research Policy, Elsevier, vol. 44(1), pages 121-137.
    9. Anne Otto & Rikard Eriksson & Martin Henning, 2015. "Industrial and geographical mobility of workers exiting the Swedish and West German shipbuilding industry 1970-2000," ERSA conference papers ersa15p958, European Regional Science Association.

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    More about this item

    Keywords

    employment transitions; industry clusters; industry life cycle;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure

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