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Do innovation spillovers impact employment and skill upgrading?

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  • Metka Stare
  • Jože Damijan

Abstract

So far, the research on impact of innovation on employment and skills focused on effects within firms and sectors. Little attention was paid to the influence of interlinkages between sectors as a source of employment change. The main contribution of this paper to the field refers to broadening the analysis of innovation impacts to innovation spillovers from vertically linked sectors on firms' employment and skill change in user industries. The empirical analysis conclusively demonstrates an important role of innovation spillovers in the economy. Firms' employment growth is shown to benefit significantly from spillovers of product innovations in manufacturing and knowledge-intensive services. Similarly, firms that are subject to increased spillovers of product innovations as well as marketing and organisational innovations are more likely to upgrade their skill composition. Conversely, employment growth and skill composition of firms seem to be negatively affected by spillovers of process innovations in vertically linked sectors.

Suggested Citation

  • Metka Stare & Jože Damijan, 2015. "Do innovation spillovers impact employment and skill upgrading?," The Service Industries Journal, Taylor & Francis Journals, vol. 35(13), pages 728-745, September.
  • Handle: RePEc:taf:servic:v:35:y:2015:i:13:p:728-745
    DOI: 10.1080/02642069.2015.1080245
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    1. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
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    Cited by:

    1. L. Aldieri & C. P. Vinci, 2018. "Innovation effects on employment in high-tech and low-tech industries: evidence from large international firms within the triad," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 229-243, June.
    2. Baumann, Julian & Kritikos, Alexander S., 2016. "The link between R&D, innovation and productivity: Are micro firms different?," Research Policy, Elsevier, vol. 45(6), pages 1263-1274.
    3. Pouliakas, Konstantinos, 2018. "Determinants of Automation Risk in the EU Labour Market: A Skills-Needs Approach," IZA Discussion Papers 11829, Institute of Labor Economics (IZA).
    4. Shiyang Li & Huasheng Zhu, 2020. "Agglomeration Externalities and Skill Upgrading in Local Labor Markets: Evidence from Prefecture-Level Cities of China," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    5. Lucrezia Fanti, 2021. "‘Kaldor Facts’ and the decline of Wage Share: An agent based-stock flow consistent model of induced technical change along Classical and Keynesian lines," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 379-415, April.
    6. Lucrezia Fanti, 2018. "An AB-SFC Model of Induced Technical Change along Classical and Keynesian Lines," Working Papers 3/18, Sapienza University of Rome, DISS.
    7. Keraga, Mezid N. & Lööf, Hans & Stephan, Andreas, 2024. "Innovation and employment in sub-Saharan Africa: New evidence from the World Bank Enterprise Survey," Working Paper Series in Economics and Institutions of Innovation 497, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    8. Mohammad Hadi Mahdinia & Mohammad Reza Mansouri Daneshvar, 2022. "Assessment of innovative strategies to improve the tourism sector in Iran," SN Business & Economics, Springer, vol. 2(12), pages 1-21, December.
    9. Di Cintio, Marco & Ghosh, Sucharita & Grassi, Emanuele, 2017. "Firm growth, R&D expenditures and exports: An empirical analysis of italian SMEs," Research Policy, Elsevier, vol. 46(4), pages 836-852.
    10. Keraga, Mezid N. & Stephan, Andreas, 2023. "Does innovation stimulate employment in Africa? New firm-level evidence from the Worldbank Enterprise Survey," Working Paper Series in Economics and Institutions of Innovation 494, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.

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