Assessing the performance of European Union regions in the “People” and “Prosperity” pillars of the SDGs
This paper addresses the gap in subnational assessments of Sustainable Development Goals (SDGs) by benchmarking the performance of European Union NUTS-2 regions in the People and Prosperity pillars of the 2030 Agenda for Sustainable Development. We construct composite indices using a methodological...
| Autores: | , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2026 |
| País: | España |
| Recursos: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:dnet:idus________::becd43cd6fd9ce6ea45942d6b40fa260 |
| Acesso em linha: | https://hdl.handle.net/11441/186564 https://doi.org/10.1002/sd.71076 |
| Access Level: | acceso abierto |
| Palavra-chave: | Benchmarking Benefit-of-the-doubt Beta regression Data envelopment analysis EU NUTS-2 regions Quality of regional governance Regional innovation Sustainable development goals |
| Resumo: | This paper addresses the gap in subnational assessments of Sustainable Development Goals (SDGs) by benchmarking the performance of European Union NUTS-2 regions in the People and Prosperity pillars of the 2030 Agenda for Sustainable Development. We construct composite indices using a methodological framework that combines the “benefit-of-the-doubt” approach with cross-efficiency Data Envelopment Analysis, enabling an assessment of both overall performance and the balance across SDG indicators. The resulting indices, which take values within the standard unit interval, are then regressed on a set of explanatory variables using beta regression models. The analysis uncovers substantial regional disparities and identifies positive associations between regional governance quality, innovation intensity, and balanced sustainable development outcomes. These findings provide valuable insights into the dynamics of regional sustainability within the European Union. |
|---|