Multidimensional economic complexity and inclusive green growth

Abstract To achieve inclusive green growth, countries need to consider a multiplicity of economic, social, and environmental factors. These are often captured by metrics of economic complexity derived from the geography of trade, thus missing key information on innovative activities. To bridge this...

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Main Authors: Viktor Stojkoski, Philipp Koch, César A. Hidalgo
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Communications Earth & Environment
Online Access:https://doi.org/10.1038/s43247-023-00770-0
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author Viktor Stojkoski
Philipp Koch
César A. Hidalgo
author_facet Viktor Stojkoski
Philipp Koch
César A. Hidalgo
author_sort Viktor Stojkoski
collection DOAJ
description Abstract To achieve inclusive green growth, countries need to consider a multiplicity of economic, social, and environmental factors. These are often captured by metrics of economic complexity derived from the geography of trade, thus missing key information on innovative activities. To bridge this gap, we combine trade data with data on patent applications and research publications to build models that significantly and robustly improve the ability of economic complexity metrics to explain international variations in inclusive green growth. We show that measures of complexity built on trade and patent data combine to explain future economic growth and income inequality and that countries that score high in all three metrics tend to exhibit lower emission intensities. These findings illustrate how the geography of trade, technology, and research combine to explain inclusive green growth.
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spelling doaj.art-c63e8cbe700b4b6cb15dbfb7423aea5e2023-04-23T11:29:14ZengNature PortfolioCommunications Earth & Environment2662-44352023-04-014111210.1038/s43247-023-00770-0Multidimensional economic complexity and inclusive green growthViktor Stojkoski0Philipp Koch1César A. Hidalgo2Center for Collective Learning, ANITI, TSE-R, IAST, IRIT, Université de ToulouseCenter for Collective Learning, ANITI, TSE-R, IAST, IRIT, Université de ToulouseCenter for Collective Learning, ANITI, TSE-R, IAST, IRIT, Université de ToulouseAbstract To achieve inclusive green growth, countries need to consider a multiplicity of economic, social, and environmental factors. These are often captured by metrics of economic complexity derived from the geography of trade, thus missing key information on innovative activities. To bridge this gap, we combine trade data with data on patent applications and research publications to build models that significantly and robustly improve the ability of economic complexity metrics to explain international variations in inclusive green growth. We show that measures of complexity built on trade and patent data combine to explain future economic growth and income inequality and that countries that score high in all three metrics tend to exhibit lower emission intensities. These findings illustrate how the geography of trade, technology, and research combine to explain inclusive green growth.https://doi.org/10.1038/s43247-023-00770-0
spellingShingle Viktor Stojkoski
Philipp Koch
César A. Hidalgo
Multidimensional economic complexity and inclusive green growth
Communications Earth & Environment
title Multidimensional economic complexity and inclusive green growth
title_full Multidimensional economic complexity and inclusive green growth
title_fullStr Multidimensional economic complexity and inclusive green growth
title_full_unstemmed Multidimensional economic complexity and inclusive green growth
title_short Multidimensional economic complexity and inclusive green growth
title_sort multidimensional economic complexity and inclusive green growth
url https://doi.org/10.1038/s43247-023-00770-0
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AT philippkoch multidimensionaleconomiccomplexityandinclusivegreengrowth
AT cesarahidalgo multidimensionaleconomiccomplexityandinclusivegreengrowth