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

Author

Listed:
  • Leonardo Salvatore Alaimo

    (Sapienza University of Rome
    Italian National Institute of Statistics - Istat)

  • Alberto Arcagni

    (Sapienza University of Rome)

  • Marco Fattore

    (University of Milano-Bicocca)

  • Filomena Maggino

    (Sapienza University of Rome)

  • Valeria Quondamstefano

    (Italian National Institute of Statistics - Istat)

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 well-being rankings at regional level for year 2017, getting more robust and interpretable results than with mainstream aggregative procedures.

Suggested Citation

  • Leonardo Salvatore Alaimo & Alberto Arcagni & Marco Fattore & Filomena Maggino & Valeria Quondamstefano, 2022. "Measuring Equitable and Sustainable Well-Being in Italian Regions: The Non-aggregative Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 711-733, June.
    • Handle: RePEc:spr:soinre:v:161:y:2022:i:2:d:10.1007_s11205-020-02388-7
    DOI: 10.1007/s11205-020-02388-7
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    References listed on IDEAS

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    1. Marco Fattore, 2016. "Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 835-858, September.
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    Cited by:

    1. Shi, Zheng, 2023. "The impact of regional ICT development on job quality of the employee in China," Telecommunications Policy, Elsevier, vol. 47(6).
    2. Fattore, Marco & Alaimo, Leonardo Salvatore, 2023. "A partial order toolbox for building synthetic indicators of sustainability with ordinal data," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    3. Leonardo Salvatore Alaimo & Francesco Amato & Filomena Maggino & Alfonso Piscitelli & Emiliano Seri, 2023. "A Comparison of Migrant Integration Policies via Mixture of Matrix-Normals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 473-494, January.
    4. Ilyes Boumahdi & Nouzha Zaoujal, 2023. "Regional Well-Being Disparities in Morocco and its OECD Partners," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 183-211, June.
    5. Alaimo, Leonardo Salvatore & Galli, Emma & Rizzo, Ilde & Scaglioni, Carla, 2023. "A new index of transparency: Evidence for the Italian municipalities," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).

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