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. 2022 Oct 6:1-43.
doi: 10.1007/s11205-021-02836-y. Online ahead of print.

Measuring Competitiveness at NUTS3 Level and Territorial Partitioning of the Italian Provinces

Pierpaolo D'Urso  1 , Livia De Giovanni  2 , Francesca G M Sica  3 , Vincenzina Vitale  1
Affiliations

Measuring Competitiveness at NUTS3 Level and Territorial Partitioning of the Italian Provinces

Pierpaolo D'Urso et al. Soc Indic Res. .

Abstract

In this paper we propose a dashboard of indicators of territorial attractiveness at NUTS3 level in the framework of the EU Regional Competitiveness Index (RCI). Then, the Fuzzy C-Medoids Clustering model with multivariate data and contiguity constraints is applied for partitioning the Italian provinces (NUTS3). The novelty is the territorial level analized, and the identification of the elementary indicators at the basis of the construction of the eleven composite competitiveness pillars. The positioning of the Italian provinces is deeply analyzed. The clusters obtained with and without contraints are compared. The obtained partition may play an important role in the design of policies at the NUTS3 level, a route already considered by the Italian government. The analysis developed and the related set of indicators at NUTS3 level constitute an information base that could be effectively used for the implementation of the National Recovery and Resilience Plan (NRRP).

Keywords: Competitiveness; Fuzzy partitioning around medoids; NUTS3; Spatial constraints; Territorial attractiveness.

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Figures

Fig. 1
Fig. 1
Italian regions and borders of the provinces
Fig. 2
Fig. 2
Sammon projection of the provinces on a two-dimensional space
Fig. 3
Fig. 3
Cartogram cluster representation. Different colors for medoids, clusters and fuzzy provinces
Fig. 4
Fig. 4
Ternary plot
Fig. 5
Fig. 5
Cartogram cluster representation - contiguity constraint. Different colors for medoids, clusters and fuzzy provinces. (Color figure online)
Fig. 6
Fig. 6
Ternary plot
See this image and copyright information in PMC

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