In the analysis of the competitiveness of the European regions a three-way approach is used to define indexes which prove to be a valid alternative and integration to the Regional Competitiveness Index (RCI). The STATIS method, which is a generalization of the Principal Component Analysis for three-way data, is applied to take into account the data structure in three macro-pillars (Basic, Efficiency, Innovation) which represent different facets of the competitiveness. STATIS searches for a common “compromise" of the macro-pillars by explicitly taking into account the similarity structure between both European regions and competitiveness indicators. The projection of the NUTS-2 European regions in a low-dimensional space spanned by the compromise allows to analyse similarities as well as disparities at regional level and provide useful and easy-to-read map to visualise both the regions and the indicators. The results largely reflect the 2019 edition of the RCI and its sub-indexes provided by Eurostat with the great advantage of not using an exogenous weighting system necessary in defining the RCI.
A Three-Way Approach for Defining Competitiveness Indexes of the European Regions (NUTS-2) / Bocci, Laura; D’Urso, Pierpaolo; Vicari, Donatella; Vitale, Vincenzina. - In: SOCIAL INDICATORS RESEARCH. - ISSN 0303-8300. - 173:1(2024), pp. 305-349. [10.1007/s11205-021-02839-9]
A Three-Way Approach for Defining Competitiveness Indexes of the European Regions (NUTS-2)
Bocci, Laura
;D’Urso, Pierpaolo;Vicari, Donatella;Vitale, Vincenzina
2024
Abstract
In the analysis of the competitiveness of the European regions a three-way approach is used to define indexes which prove to be a valid alternative and integration to the Regional Competitiveness Index (RCI). The STATIS method, which is a generalization of the Principal Component Analysis for three-way data, is applied to take into account the data structure in three macro-pillars (Basic, Efficiency, Innovation) which represent different facets of the competitiveness. STATIS searches for a common “compromise" of the macro-pillars by explicitly taking into account the similarity structure between both European regions and competitiveness indicators. The projection of the NUTS-2 European regions in a low-dimensional space spanned by the compromise allows to analyse similarities as well as disparities at regional level and provide useful and easy-to-read map to visualise both the regions and the indicators. The results largely reflect the 2019 edition of the RCI and its sub-indexes provided by Eurostat with the great advantage of not using an exogenous weighting system necessary in defining the RCI.File | Dimensione | Formato | |
---|---|---|---|
s11205-021-02839-9.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
3.57 MB
Formato
Adobe PDF
|
3.57 MB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.