Cargando…

Entropic measure unveils country competitiveness and product specialization in the World trade web

We show how the Shannon entropy function can be used as a basis to set up complexity measures weighting the economic efficiency of countries and the specialization of products beyond bare diversification. This entropy function guarantees the existence of a fixed point which is rapidly reached by an...

Descripción completa

Detalles Bibliográficos
Autores principales: Teza, Gianluca, Caraglio, Michele, Stella, Attilio L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119984/
https://www.ncbi.nlm.nih.gov/pubmed/33986366
http://dx.doi.org/10.1038/s41598-021-89519-3
_version_ 1783691970568257536
author Teza, Gianluca
Caraglio, Michele
Stella, Attilio L.
author_facet Teza, Gianluca
Caraglio, Michele
Stella, Attilio L.
author_sort Teza, Gianluca
collection PubMed
description We show how the Shannon entropy function can be used as a basis to set up complexity measures weighting the economic efficiency of countries and the specialization of products beyond bare diversification. This entropy function guarantees the existence of a fixed point which is rapidly reached by an iterative scheme converging to our self-consistent measures. Our approach naturally allows to decompose into inter-sectorial and intra-sectorial contributions the country competitivity measure if products are partitioned into larger categories. Besides outlining the technical features and advantages of the method, we describe a wide range of results arising from the analysis of the obtained rankings and we benchmark these observations against those established with other economical parameters. These comparisons allow to partition countries and products into various main typologies, with well-revealed characterizing features. Our methods have wide applicability to general problems of ranking in bipartite networks.
format Online
Article
Text
id pubmed-8119984
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-81199842021-05-17 Entropic measure unveils country competitiveness and product specialization in the World trade web Teza, Gianluca Caraglio, Michele Stella, Attilio L. Sci Rep Article We show how the Shannon entropy function can be used as a basis to set up complexity measures weighting the economic efficiency of countries and the specialization of products beyond bare diversification. This entropy function guarantees the existence of a fixed point which is rapidly reached by an iterative scheme converging to our self-consistent measures. Our approach naturally allows to decompose into inter-sectorial and intra-sectorial contributions the country competitivity measure if products are partitioned into larger categories. Besides outlining the technical features and advantages of the method, we describe a wide range of results arising from the analysis of the obtained rankings and we benchmark these observations against those established with other economical parameters. These comparisons allow to partition countries and products into various main typologies, with well-revealed characterizing features. Our methods have wide applicability to general problems of ranking in bipartite networks. Nature Publishing Group UK 2021-05-13 /pmc/articles/PMC8119984/ /pubmed/33986366 http://dx.doi.org/10.1038/s41598-021-89519-3 Text en © The Author(s) 2021 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
Teza, Gianluca
Caraglio, Michele
Stella, Attilio L.
Entropic measure unveils country competitiveness and product specialization in the World trade web
title Entropic measure unveils country competitiveness and product specialization in the World trade web
title_full Entropic measure unveils country competitiveness and product specialization in the World trade web
title_fullStr Entropic measure unveils country competitiveness and product specialization in the World trade web
title_full_unstemmed Entropic measure unveils country competitiveness and product specialization in the World trade web
title_short Entropic measure unveils country competitiveness and product specialization in the World trade web
title_sort entropic measure unveils country competitiveness and product specialization in the world trade web
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119984/
https://www.ncbi.nlm.nih.gov/pubmed/33986366
http://dx.doi.org/10.1038/s41598-021-89519-3
work_keys_str_mv AT tezagianluca entropicmeasureunveilscountrycompetitivenessandproductspecializationintheworldtradeweb
AT caragliomichele entropicmeasureunveilscountrycompetitivenessandproductspecializationintheworldtradeweb
AT stellaattiliol entropicmeasureunveilscountrycompetitivenessandproductspecializationintheworldtradeweb