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Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network †

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...

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Detalles Bibliográficos
Autores principales: Formichini, Martina, Cimini, Giulio, Pugliese, Emanuele, Gabrielli, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514614/
https://www.ncbi.nlm.nih.gov/pubmed/33266842
http://dx.doi.org/10.3390/e21020126
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author Formichini, Martina
Cimini, Giulio
Pugliese, Emanuele
Gabrielli, Andrea
author_facet Formichini, Martina
Cimini, Giulio
Pugliese, Emanuele
Gabrielli, Andrea
author_sort Formichini, Martina
collection PubMed
description 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.
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spelling pubmed-75146142020-11-09 Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network † Formichini, Martina Cimini, Giulio Pugliese, Emanuele Gabrielli, Andrea Entropy (Basel) Article 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. MDPI 2019-01-30 /pmc/articles/PMC7514614/ /pubmed/33266842 http://dx.doi.org/10.3390/e21020126 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Formichini, Martina
Cimini, Giulio
Pugliese, Emanuele
Gabrielli, Andrea
Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network †
title Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network †
title_full Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network †
title_fullStr Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network †
title_full_unstemmed Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network †
title_short Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network †
title_sort influence of technological innovations on industrial production: a motif analysis on the multilayer network †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514614/
https://www.ncbi.nlm.nih.gov/pubmed/33266842
http://dx.doi.org/10.3390/e21020126
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