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Social Indicators Research
Erschienen in: Social Indicators Research 3/2018

27.09.2016

A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being: A Case Study of the Italian Provinces

verfasst von: Cristina Davino, Pasquale Dolce, Stefania Taralli, Vincenzo Esposito Vinzi

Erschienen in: Social Indicators Research | Ausgabe 3/2018

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Abstract

An interesting measure for equitable and sustainable well-being has been proposed recently by the National Institute of Statistics in Italy and the National Council for Economy and Labour. It is called BES (from the Italian Benessere Equo e Sostenibile). A set of indicators, partitioned into several domains and themes, is used for measuring the BES. Taking into account prior knowledge of both the structure of this set of indicators and the relationships among them, the paper proposes a hierarchical composite model for measuring and modeling the BES of the Italian provinces. This hierarchical model allows us to synthesize individual indicators into single indexes in order to construct composite indicators at a global and a partial level. Moreover, we analyze the relationships among the different domains and themes as well as the effects of these on equitable and sustainable well-being, in order to search for strongly influential factors. In order to estimate the parameters of the model, we use both Partial Least Squares path modeling and a new method, called Quantile Composite-based path modeling. In particular, Partial Least Squares path modeling is used to estimate average effects in the network of relationships between variables, while with Quantile Composite-based path modeling we investigate whether the magnitude of these effects changes across different parts of the variable distributions, providing a more complete picture and uncovering specific local leveraging factors for improvement. A final ranking of the Italian provinces, according to the BES composite indicator, is also provided at the national level and for different geographic areas of Italy.
Vorheriger Artikel Away from Dissatisfaction, Closer to Well-Being: A Multidimensional Synthetic Measure
Nächster Artikel The Search for Happiness: Work Experiences and Quality of Life of Older Taiwanese Men

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Fußnoten
8
The acronym NUTS (from the French ”Nomenclature des unités territoriales statistiques”—NUTS) stands for Nomenclature of Territorial Units for Statistics, that is the European Statistical System official classification for the territorial units. The NUTS is a partitioning of the EU territory for statistical purposes based on local administrative units. The NUTS codes for Italy have three hierarchical levels: NUTS1 (Groups of regions); NUTS2 (Regions); NUTS3(Provinces). The current NUTS 2013 classification is valid from 1 January 2015, and for Italy at the NUTS3 level it includes 110 territorial units, coinciding with the 110 provinces that existed in Italy at the reference date. During 2016, following the reform of the Local Authorities implemented by the Italian Government, some Provinces have become Metropolitan cities, while some others have been suppressed due to regional laws (in particular the Provinces of Sicily and Friuli-Venezia Giulia). As this changes have not yet been transposed into the statistical classification, in this paper, the term Provinces refers to the 110 units accounted in NUTS3, so including the new Metropolitan cities and the Provinces that no longer exist.
 
12
Politics and institutions, Research and Innovation and Quality of services.
 
13
The UrBes project is coordinated by Istat with the collaboration of the association of Italian municipalities. In 2015 about 30 Italian municipalities took part to UrBes 2015 Report (http://​www.​istat.​it/​urbes2015).
 
14
Statistical Information System of the Provinces’ BES is a project promoted by the Province of Pesaro and Urbino, with the Istat’s methodological and technical support. See the Italian National Statistical Programme, 2014–2016, updating to 2015 (PSU-00004). 25 Italian provinces and metropolitan cities took part in the project in 2015.
 
15
Design study ‘Analysis and evaluation of equitable and sustainable well-being of the provinces’; Italian National Statistical Programme, 2011–2013 (PSU-00003).
 
16
Life expectancy, safeguard from health vulnerability, education attainment, participation in education and competencies, lifelong learning, work participation, gender gap in labor market, safety at work, political participation, institutional representation, quality of environment, restraint of resource consumption
 
17
Health, Education and Training, Work and life balance, Economic well-being, Social relationships, Security, Landscape and cultural heritage, Environment, Research and Innovation, Politics and institutions, Quality of services.
 
18
“Other indicators of general relevance” and “Specific indicators” of the Provinces’ BES were excluded as pointed out in Sect. 2.2.
 
19
These domains include: Health, Education and Training, Work and life balance, Economic well-being, Social relationships, Security, Landscape and cultural heritage, Environment.
 
20
These domains include: Research and Innovation, Politics and institutions, Quality of services.
 
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Metadaten
Titel
A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being: A Case Study of the Italian Provinces
verfasst von
Cristina Davino
Pasquale Dolce
Stefania Taralli
Vincenzo Esposito Vinzi
Publikationsdatum
27.09.2016
Verlag
Springer Netherlands
Erschienen in
Social Indicators Research / Ausgabe 3/2018
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-016-1453-8

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