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A network approach to rank countries chasing sustainable development
In 2015, the United Nations established the Agenda 2030 for sustainable development, addressing the major challenges the world faces and introducing the 17 Sustainable Development Goals (SDGs). How are countries performing in their challenge toward sustainable development? We address this question b...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322206/ https://www.ncbi.nlm.nih.gov/pubmed/34326375 http://dx.doi.org/10.1038/s41598-021-94858-2 |
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author | Sciarra, Carla Chiarotti, Guido Ridolfi, Luca Laio, Francesco |
author_facet | Sciarra, Carla Chiarotti, Guido Ridolfi, Luca Laio, Francesco |
author_sort | Sciarra, Carla |
collection | PubMed |
description | In 2015, the United Nations established the Agenda 2030 for sustainable development, addressing the major challenges the world faces and introducing the 17 Sustainable Development Goals (SDGs). How are countries performing in their challenge toward sustainable development? We address this question by treating countries and Goals as a complex bipartite network. While network science has been used to unveil the interconnections among the Goals, it has been poorly exploited to rank countries for their achievements. In this work, we show that the network representation of the countries-SDGs relations as a bipartite system allows one to recover aggregate scores of countries’ capacity to cope with SDGs as the solutions of a network’s centrality exercise. While the Goals are all equally important by definition, interesting differences self-emerge when non-standard centrality metrics, borrowed from economic complexity, are adopted. Innovation and Climate Action stand as contrasting Goals to be accomplished, with countries facing the well-known trade-offs between economic and environmental issues even in addressing the Agenda. In conclusion, the complexity of countries’ paths toward sustainable development cannot be fully understood by resorting to a single, multipurpose ranking indicator, while multi-variable analyses shed new light on the present and future of sustainable development. |
format | Online Article Text |
id | pubmed-8322206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83222062021-07-30 A network approach to rank countries chasing sustainable development Sciarra, Carla Chiarotti, Guido Ridolfi, Luca Laio, Francesco Sci Rep Article In 2015, the United Nations established the Agenda 2030 for sustainable development, addressing the major challenges the world faces and introducing the 17 Sustainable Development Goals (SDGs). How are countries performing in their challenge toward sustainable development? We address this question by treating countries and Goals as a complex bipartite network. While network science has been used to unveil the interconnections among the Goals, it has been poorly exploited to rank countries for their achievements. In this work, we show that the network representation of the countries-SDGs relations as a bipartite system allows one to recover aggregate scores of countries’ capacity to cope with SDGs as the solutions of a network’s centrality exercise. While the Goals are all equally important by definition, interesting differences self-emerge when non-standard centrality metrics, borrowed from economic complexity, are adopted. Innovation and Climate Action stand as contrasting Goals to be accomplished, with countries facing the well-known trade-offs between economic and environmental issues even in addressing the Agenda. In conclusion, the complexity of countries’ paths toward sustainable development cannot be fully understood by resorting to a single, multipurpose ranking indicator, while multi-variable analyses shed new light on the present and future of sustainable development. Nature Publishing Group UK 2021-07-29 /pmc/articles/PMC8322206/ /pubmed/34326375 http://dx.doi.org/10.1038/s41598-021-94858-2 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 Sciarra, Carla Chiarotti, Guido Ridolfi, Luca Laio, Francesco A network approach to rank countries chasing sustainable development |
title | A network approach to rank countries chasing sustainable development |
title_full | A network approach to rank countries chasing sustainable development |
title_fullStr | A network approach to rank countries chasing sustainable development |
title_full_unstemmed | A network approach to rank countries chasing sustainable development |
title_short | A network approach to rank countries chasing sustainable development |
title_sort | network approach to rank countries chasing sustainable development |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322206/ https://www.ncbi.nlm.nih.gov/pubmed/34326375 http://dx.doi.org/10.1038/s41598-021-94858-2 |
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