Workers' Replacements and Firms' Innovation Dynamics: New Evidence from Italian Matched Longitudinal Data

Elena Grinza and Francesco Quatraro

No 550, Carlo Alberto Notebooks from Collegio Carlo Alberto

Abstract: In this paper, we explore the impact of a firm's workers' replacements on innovation performance, by using rich matched employer-employee panel data for the Veneto region of Italy. We take the well-known resource-based theory of the firm as our departure point, and develop a set of hypotheses which we test empirically with negative binomial regressions. Coherently with our theoretical framework, we find that workers' replacements significantly dampen innovation performance, because they generate losses in the tacit knowledge base of the firm. We also nd that workers' replacements are especially detrimental to large and young rms, because large companies have more hierarchical rigidities and innovative capabilities in young rms are mostly dependent on specific human capital. Finally, our results show that firms' localization in industrial districts significantly mitigates the negative impact of workers' replacements, and that a similar picture emerges when firms are more exposed to knowledge spillovers, particularly of related knowledge.

Keywords: Workers' replacements; excess worker turnover; innovation performance; tacit knowledge; knowledge spillovers; employer-employee matched longitudinal data. (search for similar items in EconPapers)
JEL-codes: J63 O30 (search for similar items in EconPapers)
Pages: pages 29
Date: 2018
New Economics Papers: this item is included in nep-bec, nep-cse, nep-ent, nep-eur, nep-hrm, nep-ino, nep-knm, nep-lab, nep-sbm, nep-tid and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Workers’ replacements and firms’ innovation dynamics: New evidence from Italian matched longitudinal data (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:cca:wpaper:550

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