Abstract
AbstractIn 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).
Publisher
Springer Science and Business Media LLC
Subject
General Social Sciences,Sociology and Political Science,Arts and Humanities (miscellaneous),Developmental and Educational Psychology
Reference39 articles.
1. Acemoglu, D., Johnson, S., & Robinson, J. (2001). The colonial origins of comparative development: An empirical investigation: Reply. American Economic Review, 91, 1369–1401.
2. Annoni, P., & Dijkstra, L. (2019). The EU Regional Competitiveness Index 2019. Luxembourg: Publications Office of the European Union.
3. Audretsch, D., & Feldman, M. (1996). R-d spillovers and the geography of Innovation and production. American Economic Review, 86, 630–40.
4. Cantwell, J. (2006). Innovation and competitiveness.
5. Coleman, J. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, S95–S120.
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