The official Italian well-being measuring system (“Equitable and Sustainable Well-being— BES”) is probably the worldwide most advanced attempt to pursue the beyond GDP perspective effectively. In it, well-being is described in terms of 12 domains and a complex multi-indicator system of around 130 indicators, drawn mainly from Istat (official Italian statistical bureau) surveys and administrative archives. In order to get a more synthetic view of well-being, in the last four BES reports Istat employed aggregative procedures providing composite indicators for each well-being domain. The aggregative road to synthesis is however problematic, when complex and non-highly correlated indicator systems are to be summarized, mainly due to its compensative nature and interpretational difficulties. As a valuable alternative, in this paper we adopt a non-aggregative approach to synthesis, based on Partially Ordered Set Theory (Poset Theory) and show how it can be used to provide more “complexity-preserving”insights into well-being. In particular, we describe each well-being domain as a partially ordered set and compute synthetic indicators for wellbeing rankings at regional level for year 2017, getting more robust and interpretable results than with mainstream aggregative procedures.

Measuring Equitable and Sustainable Well-Being in Italian Regions: The Non-aggregative Approach / Alaimo, LEONARDO SALVATORE; Arcagni, ALBERTO GIOVANNI; Fattore, Marco; Maggino, Filomena; Quondamstefano, Valeria. - In: SOCIAL INDICATORS RESEARCH. - ISSN 0303-8300. - (2020). [10.1007/s11205-020-02388-7]

Measuring Equitable and Sustainable Well-Being in Italian Regions: The Non-aggregative Approach

Leonardo Alaimo
;
Alberto Arcagni;Filomena Maggino;
2020

Abstract

The official Italian well-being measuring system (“Equitable and Sustainable Well-being— BES”) is probably the worldwide most advanced attempt to pursue the beyond GDP perspective effectively. In it, well-being is described in terms of 12 domains and a complex multi-indicator system of around 130 indicators, drawn mainly from Istat (official Italian statistical bureau) surveys and administrative archives. In order to get a more synthetic view of well-being, in the last four BES reports Istat employed aggregative procedures providing composite indicators for each well-being domain. The aggregative road to synthesis is however problematic, when complex and non-highly correlated indicator systems are to be summarized, mainly due to its compensative nature and interpretational difficulties. As a valuable alternative, in this paper we adopt a non-aggregative approach to synthesis, based on Partially Ordered Set Theory (Poset Theory) and show how it can be used to provide more “complexity-preserving”insights into well-being. In particular, we describe each well-being domain as a partially ordered set and compute synthetic indicators for wellbeing rankings at regional level for year 2017, getting more robust and interpretable results than with mainstream aggregative procedures.
2020
Well-being; Italian regions; Poset; Multidimensional data analysis; Non-compensability
01 Pubblicazione su rivista::01a Articolo in rivista
Measuring Equitable and Sustainable Well-Being in Italian Regions: The Non-aggregative Approach / Alaimo, LEONARDO SALVATORE; Arcagni, ALBERTO GIOVANNI; Fattore, Marco; Maggino, Filomena; Quondamstefano, Valeria. - In: SOCIAL INDICATORS RESEARCH. - ISSN 0303-8300. - (2020). [10.1007/s11205-020-02388-7]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1402831
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