In an announcement from August 2023, S&P Global stated it is changing how it determines ESG Scores for corporate sustainability performance. The issue stems from the inconsistent company disclosures which complicate the process of keeping track of a company’s ESG impacts. Their “S&P Global ESG Scores Methodology” as revealed by JD Supra uses industry-specific relative scores which is a measurement scale from zero to 100 to assess a company’s management of ESG-related risks, opportunities, and impacts.
On this topic, the question worth addressing is: how do inconsistent company disclosures affect the ESG evaluations at large? Primarily, it results in uneven information – some companies may report a wide range of their ESG activities while others barely scratch the surface. The inconsistency could be due to various reasons, including but not limited to: the complexity and cost of collecting data, variance in the importance attributed to sustainability by different corporations, or lack of transparency.
Addressing this issue, S&P Global has decided to apply modeling to discern the missing elements and give a more rounded evaluation. By adopting a modeling system using data science techniques, the ESG Scores can be more accurately attributed to companies despite a lack of straight-up disclosures. This decision accounts for variances among companies’ ESG reporting and allows for a more comprehensive score, thereby increasing the reliability and credibility of the ESG ratings system.
The new approach by S&P Global signifies a positive shift towards enhancing the reliability of ESG standards in the corporate world. However, it also underlines the need for companies to improve their own ESG reporting measures, and the business community to advocate for more standardized reporting guidelines. A more transparent, consistent, and accountable approach would not only allow for more accurate ESG reporting, but potentially also lower the costs of oversight for organizations like S&P Global.