The trickle down from environmental innovation to productive complexity

We study the empirical relationship between green technologies and industrial production at very fine-grained levels by employing Economic Complexity techniques. Firstly, we use patent data on green technology domains as a proxy for competitive green innovation and data on exported products as a pro...

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Bibliographic Details
Published in:Scientific reports 2022-12, Vol.12 (1), p.22141-14, Article 22141
Main Authors: de Cunzo, Francesco, Petri, Alberto, Zaccaria, Andrea, Sbardella, Angelica
Format: Article
Language:English
Subjects:
639/766
639/766/530
China
Clean technology
Climate change
Climate change mitigation
Economic Development
Entropy
Humanities and Social Sciences
Industrial production
Industry
Maximum entropy
multidisciplinary
Raw materials
Science
Science (multidisciplinary)
Technology
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Summary:We study the empirical relationship between green technologies and industrial production at very fine-grained levels by employing Economic Complexity techniques. Firstly, we use patent data on green technology domains as a proxy for competitive green innovation and data on exported products as a proxy for competitive industrial production. Secondly, with the aim of observing how green technological development trickles down into industrial production, we build a bipartite directed network linking single green technologies at time t 1 to single products at time t 2 ≥ t 1 on the basis of their time-lagged co-occurrences in the technological and industrial specialization profiles of countries. Thirdly, we filter the links in the network by employing a maximum entropy null-model. Our results emphasize a strong connection between green technologies and the export of products related to the processing of raw materials, notably crucial for the development of climate change mitigation and adaptation technologies. Furthermore, by looking at the evolution of the network over time, we observe a growing presence of more complex green technologies and high-tech products among the significant links, suggesting an increase in their importance in the network.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-25940-6