In recent years, the growing focus on sustainability has led to the introduction of regulations aimed at promoting sustainable investments. The EU Taxonomy provides clear criteria for assessing the sustainability of economic activities. This thesis examines the relationship between alignment indicators with the EU Taxonomy, particularly the ratio between CapEx and revenue, and the environmental ESG scores assigned by Bloomberg, LSEG, and S&P. The objective is to determine whether these indicators can explain the variability of ESG scores, contributing to the literature on ESG rating divergence. The empirical analysis employs Tobit regression models and Pearson correlation matrices on a dataset of 260 companies from 11 European market indices. The thesis is structured into three chapters: the first explores the regulatory framework of the EU Taxonomy, the second analyzes ESG ratings and the issue of their divergence, while the third presents the research methodology and key findings.
Negli ultimi anni, la crescente attenzione alla sostenibilità ha portato all'introduzione di normative per favorire investimenti sostenibili. La Tassonomia UE fornisce criteri chiari per valutare la sostenibilità delle attività economiche. Questa tesi analizza la relazione tra gli indicatori di allineamento alla Tassonomia UE, in particolare il rapporto tra CapEx e ricavi, e i punteggi ambientali ESG assegnati da Bloomberg, LSEG e S&P. L'obiettivo è verificare se tali indicatori possano spiegare la variabilità dei punteggi ESG, contribuendo alla letteratura sulla divergenza dei rating ESG. L'analisi empirica utilizza modelli di regressione Tobit e matrici di correlazione di Pearson su un dataset di 260 aziende in 11 indici europei. La tesi è strutturata in tre capitoli: il primo esplora il quadro normativo della Tassonomia UE, il secondo analizza i rating ESG e il problema della loro divergenza, mentre il terzo presenta la metodologia e i risultati dell'analisi.
EU taxonomy and ESG ratings: An Empirical Analysis of Alignment and Divergence
NETTI, MATTEO
2023/2024
Abstract
In recent years, the growing focus on sustainability has led to the introduction of regulations aimed at promoting sustainable investments. The EU Taxonomy provides clear criteria for assessing the sustainability of economic activities. This thesis examines the relationship between alignment indicators with the EU Taxonomy, particularly the ratio between CapEx and revenue, and the environmental ESG scores assigned by Bloomberg, LSEG, and S&P. The objective is to determine whether these indicators can explain the variability of ESG scores, contributing to the literature on ESG rating divergence. The empirical analysis employs Tobit regression models and Pearson correlation matrices on a dataset of 260 companies from 11 European market indices. The thesis is structured into three chapters: the first explores the regulatory framework of the EU Taxonomy, the second analyzes ESG ratings and the issue of their divergence, while the third presents the research methodology and key findings.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.14247/24527