In this work we aim at identifying combinations of technological advancements that reveal the presence of local capabilities for a given industrial production. To this end, we generated a multilayer network using country-level patent and trade data, and performed motif-based analysis on this network using a statistical-validation approach derived from maximum-entropy arguments. We show that in many cases the signal far exceeds the noise, providing robust evidence of synergies between different technologies that can lead to a competitive advantage in specific markets. Our results can be highly useful for policymakers to inform industrial and innovation policies.

Formichini, M., Cimini, G., Pugliese, E., Gabrielli, A. (2019). Influence of technological innovations on industrial production: A motif analysis on the multilayer network. ENTROPY, 21(2) [10.3390/e21020126].

Influence of technological innovations on industrial production: A motif analysis on the multilayer network

CIMINI G;
2019-01-01

Abstract

In this work we aim at identifying combinations of technological advancements that reveal the presence of local capabilities for a given industrial production. To this end, we generated a multilayer network using country-level patent and trade data, and performed motif-based analysis on this network using a statistical-validation approach derived from maximum-entropy arguments. We show that in many cases the signal far exceeds the noise, providing robust evidence of synergies between different technologies that can lead to a competitive advantage in specific markets. Our results can be highly useful for policymakers to inform industrial and innovation policies.
2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/02 - FISICA TEORICA, MODELLI E METODI MATEMATICI
Settore FIS/03 - FISICA DELLA MATERIA
English
https://www.mdpi.com/1099-4300/21/2/126
Formichini, M., Cimini, G., Pugliese, E., Gabrielli, A. (2019). Influence of technological innovations on industrial production: A motif analysis on the multilayer network. ENTROPY, 21(2) [10.3390/e21020126].
Formichini, M; Cimini, G; Pugliese, E; Gabrielli, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/234069
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