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 well-being rankings at regional level for year 2017, getting more robust and interpretable results than with mainstream aggregative procedures.
Alaimo, L., Arcagni, A., Fattore, M., Maggino, F., & Quondamstefano, V. (2020). Measuring Equitable and Sustainable Well-Being in Italian Regions: The Non-aggregative Approach. SOCIAL INDICATORS RESEARCH.
|Citazione:||Alaimo, L., Arcagni, A., Fattore, M., Maggino, F., & Quondamstefano, V. (2020). Measuring Equitable and Sustainable Well-Being in Italian Regions: The Non-aggregative Approach. SOCIAL INDICATORS RESEARCH.|
|Tipo:||Articolo in rivista - Articolo scientifico|
|Carattere della pubblicazione:||Scientifica|
|Presenza di un coautore afferente ad Istituzioni straniere:||No|
|Titolo:||Measuring Equitable and Sustainable Well-Being in Italian Regions: The Non-aggregative Approach|
|Autori:||Alaimo, L; Arcagni, A; Fattore, M; Maggino, F; Quondamstefano, V|
|Data di pubblicazione:||2020|
|Rivista:||SOCIAL INDICATORS RESEARCH|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/s11205-020-02388-7|
|Appare nelle tipologie:||01 - Articolo su rivista|