Preprint Article Version 1 This version is not peer-reviewed

Measuring the Impact of Technological Innovations on Industrial Products through a Multilayer Network Approach

Version 1 : Received: 3 August 2018 / Approved: 4 August 2018 / Online: 4 August 2018 (10:54:53 CEST)

A peer-reviewed article of this Preprint also exists.

Formichini, M.; Cimini, G.; Pugliese, E.; Gabrielli, A. Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network. Entropy 2019, 21, 126. Formichini, M.; Cimini, G.; Pugliese, E.; Gabrielli, A. Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network. Entropy 2019, 21, 126.

Journal reference: Entropy 2019, 21, 126
DOI: 10.3390/e21020126

Abstract

In this work we identify combinations of technological activities that signal the presence local capabilities in a country to successfully export a product. We use country-level patent and trade data to generate a multi-layer network, and we apply maximization of entropy to generate synthetic data to effectively divide signal from noise. We show that in several sectors the signal far exceed the noise. Our exercise provides robust evidence of the presence of synergies between technologies to explain trade performances in specific markets. This can be highly useful for policy makers, to inform industrial and innovation policies.

Subject Areas

technology-product network; maximum entropy; bipartite networks; bipartite configuration model; exponential random graphs; diffusion on networks; innovation system; economic fitness and complexity

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