How Do Agglomeration Externalities and Workforce Skills Drive Innovation? Empirical Evidence from Italy

Rosalia Castellano (), Gaetano Musella () and Gennaro Punzo ()
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Rosalia Castellano: University of Naples “Parthenope”
Gaetano Musella: University of Naples “Parthenope”
Gennaro Punzo: University of Naples “Parthenope”

Journal of the Knowledge Economy, 2024, vol. 15, issue 2, No 66, 6737-6760

Abstract: Abstract Based on four research hypotheses, this paper investigates whether and how the propensity for innovation of a territory depends on (i) agglomeration externalities (specialisation vs. diversification); (ii) the interaction between skills complementarity (overlapped, unlinked, connected skills) and agglomeration externalities; (iii) inter-regional workers’ mobility; (iv) workers’ mobility in both intra- and inter-regional flows. Although these factors have been explored from a one-by-one perspective, there is little evidence of their joint actions on a location’s propensity for innovation. To propose new insights into how these factors work together, we perform the Spatial Durbin Model (SDM) using data on Italian provinces from official sources. The SDMs are estimated globally on all the Italian provinces and separately on the two macro-areas of northern and southern provinces to compare the effects of intra- and inter-regional workers’ mobility on innovation. The results can be summarised as follows: (i) specialisation plays a more decisive role in fostering innovation than diversification; (ii) the interaction between skills complementarity and specialisation has a strong impact on innovation activities; (iii) the contribution to the innovation of workers’ mobility with overlapped skills is greater when the mobility occurs between provinces of the same macro-area; (iv) geographical proximity improves the territory’s ability to absorb the related skills regardless of its productive structure. The provided evidence may help policymakers with the appropriate information to foster innovation.

Keywords: Innovation propensity; Patents; Agglomeration externalities; Workers’ skills; Spatial Durbin Model (search for similar items in EconPapers)
JEL-codes: C31 C38 J24 O31 O32 R12 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13132-023-01405-7

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