The study explores the relationship between Italian industrial districts and technological innovation, employing the framework of economic complexity, a datadriven approach rooted in complex systems and network theory. By analyzing Italian patent data from 2020 to 2023, we focus on firms’ patent portfolios and innovative capabilities within and outside industrial districts. The work provides new insights into the dynamics of the geography of innovation in Italy, using the metrics of Economic Fitness and Complexity (EFC) and Relatedness.

Economic complexity, technological innovation, and co-location of activities

Annamaria Giuffrida
;
Alessio Bumbea;
2025-01-01

Abstract

The study explores the relationship between Italian industrial districts and technological innovation, employing the framework of economic complexity, a datadriven approach rooted in complex systems and network theory. By analyzing Italian patent data from 2020 to 2023, we focus on firms’ patent portfolios and innovative capabilities within and outside industrial districts. The work provides new insights into the dynamics of the geography of innovation in Italy, using the metrics of Economic Fitness and Complexity (EFC) and Relatedness.
2025
979-12-80655-52-3
Economic Fitness and Complexity, Exogenous Fitness, Relatedness, Industrial districts
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12606/31285
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