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An evidence-based approach to national Sustainable Development Goal assessment: The case of Ireland

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

With less than seven years remaining before the 2030 target date of the United Nations Sustainable Development Goals (SDGs), Ireland is currently unable to adequately assess national SDG performance. This paper presents an index that has been created to combat this critical research gap. In this respect, an index has been developed for each of the unique SDG indicators (n = 159) identified during the early stages of the indicator selection process where national performance is assessed relative to the best and worst performers in the European Union (EU). Ireland’s performance in individual indicators is then aggregated revealing the country’s performance in several critical dimensions of the SDGs, including society, economy, environment, as well as means-of-implementation (MoI), linkage indicators, and the SDGs as a whole. Further, annual time series data has been collected, allowing for the assessment of the country’s relative performance in 140 SDG indicators from 2015-to-2021. Its extensive indicator framework makes this index the most accurate and comprehensive assessment of Ireland’s SDG performance, to date. Similarly, as illustrated throughout this paper, our unique peer-based approach, and the positive peer-learning environment that it engenders, hold the potential to catalyse the development of efficient and effective national SDG policy. As such, the results from this index should be used to inform future national SDG monitoring, reporting, and policy initiatives, including future voluntary national reviews.

langue originaleAnglais
Numéro d'articlee0000082
journalPLOS Sustainability and Transformation
Volume2
Numéro de publication10 October
Les DOIs
étatPublié - oct. 2023
Modification externeOui

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Publisher Copyright:
© 2023 Murphy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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