Multidimensional Economic Complexity and Inclusive Green Growth

Viktor Stojkoski, Philipp Koch and C\'esar A. Hidalgo

Papers from arXiv.org

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.

Date: 2022-09, Revised 2023-04
New Economics Papers: this item is included in nep-ene, nep-env, nep-geo and nep-int
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Published in Communications Earth & Environment volume 4, Article number: 130 (2023)

Downloads: (external link)
http://arxiv.org/pdf/2209.08382 Latest version (application/pdf)

Related works:
Working Paper: Multidimensional economic complexity and inclusive green growth (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2209.08382

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().