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Ecological transition and sustainable development: integrated statistical indicators to support public policies
The evolution of the concept of sustainability and the availability of new statistical information requires constant checks on the set of indicators so that they accurately perform the task of representing well-being in our society. The Sustainable Development Goals refer to various development doma...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629201/ https://www.ncbi.nlm.nih.gov/pubmed/36323737 http://dx.doi.org/10.1038/s41598-022-23085-0 |
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author | Rotondo, Francesco Perchinunno, Paola L’Abbate, Samuela Mongelli, Lucia |
author_facet | Rotondo, Francesco Perchinunno, Paola L’Abbate, Samuela Mongelli, Lucia |
author_sort | Rotondo, Francesco |
collection | PubMed |
description | The evolution of the concept of sustainability and the availability of new statistical information requires constant checks on the set of indicators so that they accurately perform the task of representing well-being in our society. The Sustainable Development Goals refer to various development domains relating to environmental, social, economic, and institutional issues that have been placed at the basis of the Missions envisaged by the National Recovery and Resilience Plan (NRRP). Specifically, the subject of ecological transition and the related statistical indicators and the evaluations of the effectiveness of the programming implemented by the NRRP to pursue it in practice are of significant interest. The numerous data available were analyzed at a regional level through multivariate statistical methodologies (Totally Fuzzy and Relative method) capable of synthesizing the various information to evaluate the territorial adequacy of the economic planning of its various components. Through the representation on a GIS basis of the geographical distribution of the synthesis values of the fuzzy indices, the paper highlights the different starting point existing between Italian regions. So, these integrated statistical indicators can help public policies to be oriented in a more coherent way with their environmental declared objectives. Starting from the availability of multiple data, it is developed an integrated approach to the evaluation of the local government policies in place and to monitor the progress of subsequent interventions by the Italian government. |
format | Online Article Text |
id | pubmed-9629201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96292012022-11-02 Ecological transition and sustainable development: integrated statistical indicators to support public policies Rotondo, Francesco Perchinunno, Paola L’Abbate, Samuela Mongelli, Lucia Sci Rep Article The evolution of the concept of sustainability and the availability of new statistical information requires constant checks on the set of indicators so that they accurately perform the task of representing well-being in our society. The Sustainable Development Goals refer to various development domains relating to environmental, social, economic, and institutional issues that have been placed at the basis of the Missions envisaged by the National Recovery and Resilience Plan (NRRP). Specifically, the subject of ecological transition and the related statistical indicators and the evaluations of the effectiveness of the programming implemented by the NRRP to pursue it in practice are of significant interest. The numerous data available were analyzed at a regional level through multivariate statistical methodologies (Totally Fuzzy and Relative method) capable of synthesizing the various information to evaluate the territorial adequacy of the economic planning of its various components. Through the representation on a GIS basis of the geographical distribution of the synthesis values of the fuzzy indices, the paper highlights the different starting point existing between Italian regions. So, these integrated statistical indicators can help public policies to be oriented in a more coherent way with their environmental declared objectives. Starting from the availability of multiple data, it is developed an integrated approach to the evaluation of the local government policies in place and to monitor the progress of subsequent interventions by the Italian government. Nature Publishing Group UK 2022-11-02 /pmc/articles/PMC9629201/ /pubmed/36323737 http://dx.doi.org/10.1038/s41598-022-23085-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Rotondo, Francesco Perchinunno, Paola L’Abbate, Samuela Mongelli, Lucia Ecological transition and sustainable development: integrated statistical indicators to support public policies |
title | Ecological transition and sustainable development: integrated statistical indicators to support public policies |
title_full | Ecological transition and sustainable development: integrated statistical indicators to support public policies |
title_fullStr | Ecological transition and sustainable development: integrated statistical indicators to support public policies |
title_full_unstemmed | Ecological transition and sustainable development: integrated statistical indicators to support public policies |
title_short | Ecological transition and sustainable development: integrated statistical indicators to support public policies |
title_sort | ecological transition and sustainable development: integrated statistical indicators to support public policies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629201/ https://www.ncbi.nlm.nih.gov/pubmed/36323737 http://dx.doi.org/10.1038/s41598-022-23085-0 |
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