Bayesian Networks Model Averaging for Bes Indicators
In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 151, Heft 3, S. 897-919
ISSN: 1573-0921
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In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 151, Heft 3, S. 897-919
ISSN: 1573-0921
In: Advances in statistical analysis: AStA
ISSN: 1863-818X
In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 149, Heft 3, S. 1081-1106
ISSN: 1573-0921
In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 173, Heft 1, S. 137-167
ISSN: 1573-0921
In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 173, Heft 1, S. 305-349
ISSN: 1573-0921
In: Land use policy: the international journal covering all aspects of land use, Band 83, S. 571-580
ISSN: 0264-8377
In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 173, Heft 1, S. 1-7
ISSN: 1573-0921
In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 175, Heft 3, S. 741-762
ISSN: 1573-0921
In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 173, Heft 1, S. 9-51
ISSN: 1573-0921
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).
In: Social indicators research: an international and interdisciplinary journal for quality-of-life measurement, Band 154, Heft 2, S. 647-692
ISSN: 1573-0921