It is the Total that Does [Not] Make the Sum: Nature, Economy and Society in the Equitable and Sustainable Well-Being of the Italian Provinces

Mariateresa Ciommi, Chiara Gigliarano (), Francesco M. Chelli () and Mauro Gallegati
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Chiara Gigliarano: Università degli Studi dell’Insubria
Francesco M. Chelli: Università Politecnica delle Marche

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2022, vol. 161, issue 2, No 7, 522 pages

Abstract: Abstract Over the last years there has been an increasing interest in measuring well-being at local level. This is mainly due to the fact that socio-economic indicators at country level do not provide a complete picture of the living conditions in a territory. Moreover, the temporal dimension is also a fundamental aspect that allows analysing the trends of local well-being over time. The aim of this paper is to provide a more in-depth analysis of territorial disparities, inequalities and divergences across the Italian territories. In particular, this paper is one of the first attempts to analyse the overtime trend of the Italian well-being at provincial level (NUTS3) using a subset of indicators recently provided by ISTAT to measure the Equitable and Sustainable Well-being (BES) at local level. We apply a Bayesian latent variable model to construct three composite indicators related to the three main pillars of well-being, namely economic, social, and environmental. These composite indicators have been estimated for all the years between 2004 and 2016 for each Italian province. Results suggest that in the period of analysis the economic well-being has worsened in almost all provinces, with weak signs of recovery starting from 2014. On the contrary, social well-being improved in almost all provinces, with some exceptions in the South. The environmental well-being has increased over time as well, more in the Northern and Central provinces than in the South.

Keywords: Well-being; Composite indicators; Territorial analysis; Bayesian latent variable models (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11205-020-02331-w

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