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Exploring the Ultrametric Composite Indicator for Assessing Corporate Sustainability

Contributo in Atti di convegno
Data di Pubblicazione:
2025
Citazione:
(2025). Exploring the Ultrametric Composite Indicator for Assessing Corporate Sustainability . Retrieved from https://hdl.handle.net/10446/306766
Abstract:
This paper explores the use of the Ultrametric Composite Indicator (UCI) model to construct a hierarchy of composite indicators for assessing corporate sustainability based on the Environmental, Social, and Governance (ESG) dimensions. Given the multidimensional nature of sustainability, this study develops a structured hierarchy that shifts from domain-specific indicators to a general composite index, focusing on significant higher-level Composite Indicators (CIs). Using data from 69 publicly listed industrial companies headquartered in one of the 27 countries of the European Union (EU27), with 9 variables belonging to the three subdomains of the ESG, the UCI model returns a hierarchy of 6 composite indicators, which are then compiled by means of the Principal Component Analysis. The preliminary results indicate the presence of two significant higher-level CIs compared to the ones a priori identified. This suggests that in a more extensive study multiple intermediate CIs may be statistically significant. Moreover, this approach can improve the interpretability of the set of CIs, while still respecting the parsimony criterion.
Tipologia CRIS:
1.4.01 Contributi in atti di convegno - Conference presentations
Elenco autori:
Patelli, Luca; Toninelli, Daniele
Autori di Ateneo:
PATELLI Luca
TONINELLI Daniele
Link alla scheda completa:
https://aisberg.unibg.it/handle/10446/306766
Titolo del libro:
Statistics for Innovation IV. SIS 2025, Short Papers, Contributed Sessions 3
Pubblicato in:
ITALIAN STATISTICAL SOCIETY SERIES ON ADVANCES IN STATISTICS
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Settore STAT-02/A - Statistica economica
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