This document presents a quantitative analysis of province-level data from Italy's Bes composite indicators. It uses quantile composite-based path modeling to analyze relationships between partial and global composite indicators measuring economic, social, and environmental outcomes and contexts across different quantiles. The analysis aims to assess indicator contributions to composite scores on average and at different levels of the composites.

1. BES Quantile composite-based Path Modeling (NUTS3)
BES (standardised) Average Variability
North-west 0.71 0.40
North-east 0.94 0.34
Center 0.38 1.36
South +Islands -1.14 0.47
•Hierarchical construct model
(Lohmöller, J.-B., 1989)
•Partial Least Squares Path Modeling
(Wold, H., 1982)
•Quantile Composite-based Path Modeling
(Davino, C., Esposito Vinzi, V., 2016)
Misurare il benessere dei territori: il contributo del Bes delle province: Esperienze e proposte dai territori - Istat, Roma, 14 marzo 2016
Cristina Davino
Università di Macerata
cristina.davino@unimc.it
Pasquale Dolce
Università di Napoli
pasquale.dolce@unina.it
Stefania Taralli
Istat
taralli@istat.it
Outcome composites across quantile
Data: Provinces’ Bes dataset (2014)
Methods
•Measuring partial and global
composite indicators (CIs) and the strength
of their relationships
•Assessing the indicator contribution to partial and
global CIs on average and for different levels of the CI
Aims BES/OUTCOME at NUTS3
Context composites across quantile
0.00 0.10 0.20 0.00 0.10 0.20 0.00 0.10 0.20
Economic well-being
10% average 90%
Social relationships
Education
Cultural heritage
Protection from crimes
Environment
Work and life balance
Health
Domains 10% average 90%
Research and Innovation 0.14 0.24 0.39
Political Institutions 0.39 0.35 0.29
Quality of Services 0.55 0.54 0.29
BES/CONTEXT at NUTS3
The structural
model