The trickle down from environmental innovation to productive complexity

Main author: de Cunzo, Francesco
Other authors: Petri, Alberto
Zaccaria, Andrea
Sbardella, Angelica
Format: Journal Article           
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id eprints-38501
recordtype eprints
institution SOAS, University of London
collection SOAS Research Online
language English
English
language_search English
English
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 t1 to single products at time t2≥t1 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 Journal Article
author de Cunzo, Francesco
author_facet de Cunzo, Francesco
Petri, Alberto
Zaccaria, Andrea
Sbardella, Angelica
authorStr de Cunzo, Francesco
author_letter de Cunzo, Francesco
author2 Petri, Alberto
Zaccaria, Andrea
Sbardella, Angelica
author2Str Petri, Alberto
Zaccaria, Andrea
Sbardella, Angelica
title The trickle down from environmental innovation to productive complexity
publisher Springer Nature
publishDate 2022
url https://eprints.soas.ac.uk/38501/