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Labour market flexibility and innovation: geographical and technological determinants

Author

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  • Luca Pieroni
  • Fabrizio Pompei

Abstract

Purpose - This paper aims to shed light upon the controversial relationship between labour market flexibility and innovation in Italy, paying attention both to inter‐sectoral heterogeneity and to the regional differences. Design/methodology/approach - A set of hypotheses concerning the context‐dependent relationship between labour market flexibility and innovation has been formulated by combining the main results of the theoretical literature concerning this topic. Regional patents are used as a proxy of innovation, while job turnover and wages represent labour market indicators of flexibility. Non‐parametric models and dynamic structural specification of panel data have been estimated to test the aforementioned hypotheses. Findings - The results show that higher job turnover has a significant and negative impact on patent activities in regional sectors of northern Italy, while a positive and significant effect of blue and white collar wages has been generally found in the estimations. Research limitations/implications - There is a lack of updated information regarding labour market data in the Italian economy. Practical implications - Knowing in which sectoral and regional context labour flexibility has (or does not have) a positive influence on innovation plays a key role for the decisions of policy makers. Originality/value - This paper deals with the influence that the heterogeneity of the contexts (at the sectoral and geographical level) exerts on the relationship between the labour market and innovation. Moreover, the endogenous character of this relationship and the cumulative nature of innovative activities have been taken into account by means of a parsimonious dynamic econometric model.

Suggested Citation

  • Luca Pieroni & Fabrizio Pompei, 2008. "Labour market flexibility and innovation: geographical and technological determinants," International Journal of Manpower, Emerald Group Publishing Limited, vol. 29(3), pages 216-238, June.
    • Handle: RePEc:eme:ijmpps:v:29:y:2008:i:3:p:216-238
    DOI: 10.1108/01437720810878897
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    Citations

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    Cited by:

    1. William R. DiPietro, 2012. "Favorable and Unfavorable Conditions for Innovation: Some Cross Country Evidence," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 2(1), pages 14-19, March.
    2. Anshul Yadav & Mahim Sagar, 2021. "Modified Total Interpretive Structural Modeling of Marketing Flexibility Factors for Indian Telecommunications Service Providers," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(4), pages 307-330, December.
    3. Grinza, Elena & Quatraro, Francesco, 2019. "Workers’ replacements and firms’ innovation dynamics: New evidence from Italian matched longitudinal data," Research Policy, Elsevier, vol. 48(9), pages 1-1.

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