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.

(2025). Exploring the Ultrametric Composite Indicator for Assessing Corporate Sustainability . Retrieved from https://hdl.handle.net/10446/306766

Exploring the Ultrametric Composite Indicator for Assessing Corporate Sustainability

Patelli, Luca;Toninelli, Daniele
2025-01-01

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.
luca.patelli@unibg.it
2025
Inglese
Statistics for Innovation IV. SIS 2025, Short Papers, Contributed Sessions 3
Di Bella, Enrico; Gioia, Vincenzo; Lagazio, Corrado; Zaccarin, Susanna
978-3-031-96032-1
978-3-031-96033-8
158
163
cartaceo
online
Switzerland
Cham
Springer
SIS 2025: Conference on Statistics for Innovation, Genoa, Italy, 16-18 June 2025
Genoa, Italy
16-18 June 2025
Italian Statistical Society (SIS)
University of Genova
internazionale
contributo
Settore STAT-02/A - Statistica economica
Composite Indicators; Hierarchical models; Corporate Sustainability; ESG.
Link al sito web del convegno Series E-ISSN 3059-2143
info:eu-repo/semantics/conferenceObject
2
Patelli, Luca; Toninelli, Daniele
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
reserved
Non definito
273
(2025). Exploring the Ultrametric Composite Indicator for Assessing Corporate Sustainability . Retrieved from https://hdl.handle.net/10446/306766
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