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

Pierpaolo D’Urso (), Livia De Giovanni (), Francesca G. M. Sica () and Vincenzina Vitale ()
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Pierpaolo D’Urso: Sapienza University of Rome
Livia De Giovanni: Luiss university and Data Lab Luiss
Francesca G. M. Sica: Confindustria and Data Lab Luiss
Vincenzina Vitale: Sapienza University of Rome

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2024, vol. 173, issue 1, No 2, 9-51

Abstract: 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; Territorial attractiveness; NUTS3; Spatial constraints; Fuzzy partitioning around medoids (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11205-021-02836-y

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