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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780348/ https://www.ncbi.nlm.nih.gov/pubmed/36550185 http://dx.doi.org/10.1038/s41598-022-25940-6 |
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author | de Cunzo, Francesco Petri, Alberto Zaccaria, Andrea Sbardella, Angelica |
author_facet | de Cunzo, Francesco Petri, Alberto Zaccaria, Andrea Sbardella, Angelica |
author_sort | de Cunzo, Francesco |
collection | PubMed |
description | 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 [Formula: see text] to single products at time [Formula: see text] 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. |
format | Online Article Text |
id | pubmed-9780348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97803482022-12-24 The trickle down from environmental innovation to productive complexity de Cunzo, Francesco Petri, Alberto Zaccaria, Andrea Sbardella, Angelica Sci Rep Article 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 [Formula: see text] to single products at time [Formula: see text] 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. Nature Publishing Group UK 2022-12-22 /pmc/articles/PMC9780348/ /pubmed/36550185 http://dx.doi.org/10.1038/s41598-022-25940-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article de Cunzo, Francesco Petri, Alberto Zaccaria, Andrea Sbardella, Angelica The trickle down from environmental innovation to productive complexity |
title | The trickle down from environmental innovation to productive complexity |
title_full | The trickle down from environmental innovation to productive complexity |
title_fullStr | The trickle down from environmental innovation to productive complexity |
title_full_unstemmed | The trickle down from environmental innovation to productive complexity |
title_short | The trickle down from environmental innovation to productive complexity |
title_sort | trickle down from environmental innovation to productive complexity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780348/ https://www.ncbi.nlm.nih.gov/pubmed/36550185 http://dx.doi.org/10.1038/s41598-022-25940-6 |
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