This paper attempts to evaluate some of the results obtained through the STeMA approach. One can evaluate the solution of the STeMA approach in a more streamlined manner, as a composite index, one for each dimension, able to rank the regions and provinces based on the key territorial cohesions’ four dimensions. Below this analysis provides details about these results and the analysis indications and policy therefrom derived.

Carbonaro, I. (2020). Statistical visions from the STeMA application: a joint trial. In M. Prezioso (a cura di), Territorial Impact Assessment of national and regional territorial cohesion in Italy Place evidence and policy orientations towards EUROPEAN GREEN DEAL (pp. 53-62). Bologna : Patron.

Statistical visions from the STeMA application: a joint trial

Carbonaro, Isabella
2020-08-01

Abstract

This paper attempts to evaluate some of the results obtained through the STeMA approach. One can evaluate the solution of the STeMA approach in a more streamlined manner, as a composite index, one for each dimension, able to rank the regions and provinces based on the key territorial cohesions’ four dimensions. Below this analysis provides details about these results and the analysis indications and policy therefrom derived.
ago-2020
Settore SECS-S/03 - STATISTICA ECONOMICA
English
Rilevanza internazionale
Capitolo o saggio
STATISTICS, STeMA model, complex indices
Pubblicato nell'ambito della Ricerca nazionale PRIN 2015, PI Prof.ssa Maria Prezioso
Carbonaro, I. (2020). Statistical visions from the STeMA application: a joint trial. In M. Prezioso (a cura di), Territorial Impact Assessment of national and regional territorial cohesion in Italy Place evidence and policy orientations towards EUROPEAN GREEN DEAL (pp. 53-62). Bologna : Patron.
Carbonaro, I
Contributo in libro
File in questo prodotto:
File Dimensione Formato  
05_statistical.pdf

accesso aperto

Descrizione: capitolo Carbonaro
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 1.89 MB
Formato Adobe PDF
1.89 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/253018
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact