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Ecological Transition and Sustainable Development, A Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan
The sustainable development goals are a call to action by all upper-middle-income countries and developing countries to promote development while protecting the planet. The United Nations defines sustainable "a development that meets the needs of the present without compromising the ability of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896452/ https://www.ncbi.nlm.nih.gov/pubmed/36776675 http://dx.doi.org/10.1007/s11205-023-03078-w |
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author | Perchinunno, Paola Massari, Antonella L’Abbate, Samuela Mongelli, Lucia |
author_facet | Perchinunno, Paola Massari, Antonella L’Abbate, Samuela Mongelli, Lucia |
author_sort | Perchinunno, Paola |
collection | PubMed |
description | The sustainable development goals are a call to action by all upper-middle-income countries and developing countries to promote development while protecting the planet. The United Nations defines sustainable "a development that meets the needs of the present without compromising the ability of future generations to meet their own needs". The present work proposes a first mapping of the correspondences between the SDGs and the 6 Missions envisaged by the National Recovery and Resilience Plan (NRRP). In this paper, the data referred to Mission 2 (Green Revolution and Ecological Transition) will be analyzed at a provincial level in order to evaluate the territorial adequacy of the economic planning through multivariate statistical methodologies (Totally Fuzzy and Relative method and DBScan). Data analysis allows to develop an integrated approach for the evaluation of the government policies of the territory and for monitor the progress of the subsequent intervention policies of the Italian Government. |
format | Online Article Text |
id | pubmed-9896452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-98964522023-02-06 Ecological Transition and Sustainable Development, A Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan Perchinunno, Paola Massari, Antonella L’Abbate, Samuela Mongelli, Lucia Soc Indic Res Original Research The sustainable development goals are a call to action by all upper-middle-income countries and developing countries to promote development while protecting the planet. The United Nations defines sustainable "a development that meets the needs of the present without compromising the ability of future generations to meet their own needs". The present work proposes a first mapping of the correspondences between the SDGs and the 6 Missions envisaged by the National Recovery and Resilience Plan (NRRP). In this paper, the data referred to Mission 2 (Green Revolution and Ecological Transition) will be analyzed at a provincial level in order to evaluate the territorial adequacy of the economic planning through multivariate statistical methodologies (Totally Fuzzy and Relative method and DBScan). Data analysis allows to develop an integrated approach for the evaluation of the government policies of the territory and for monitor the progress of the subsequent intervention policies of the Italian Government. Springer Netherlands 2023-02-03 /pmc/articles/PMC9896452/ /pubmed/36776675 http://dx.doi.org/10.1007/s11205-023-03078-w Text en © The Author(s) 2023 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 | Original Research Perchinunno, Paola Massari, Antonella L’Abbate, Samuela Mongelli, Lucia Ecological Transition and Sustainable Development, A Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan |
title | Ecological Transition and Sustainable Development, A Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan |
title_full | Ecological Transition and Sustainable Development, A Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan |
title_fullStr | Ecological Transition and Sustainable Development, A Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan |
title_full_unstemmed | Ecological Transition and Sustainable Development, A Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan |
title_short | Ecological Transition and Sustainable Development, A Multivariate Statistical Analysis to Guide the Policies of the National Recovery and Resilience Plan |
title_sort | ecological transition and sustainable development, a multivariate statistical analysis to guide the policies of the national recovery and resilience plan |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896452/ https://www.ncbi.nlm.nih.gov/pubmed/36776675 http://dx.doi.org/10.1007/s11205-023-03078-w |
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