Bridging the Gap Between Sustainability Reporting and Performance

As part of the Sustainable Investing Research Consulting Project at Columbia SIPA, I have spent the past few months delving into sustainability reporting practices through the lens of the Global Reporting Initiative (GRI), one of the most widely adopted frameworks for corporate ESG disclosure. Our project focuses on the fashion and apparel sector, a global industry worth $1.7 trillion and one of the largest contributors to environmental and labor-related challenges. With over 300 million people involved in its value chain, the fashion industry is deeply connected with sustainability at both local and global levels.

The purpose of our research is to critically assess the current state of sustainability reporting among companies that formally adopt the GRI framework within this sector. We aim to identify reporting gaps, analyze trends in the application of GRI impact metrics over the past five years (2019–2023), and provide data-driven insights that can guide companies toward more robust and transparent ESG reporting.

We began by selecting companies that met strict criteria: they must be in the textile manufacturing and apparel subsectors, use GRI standards consistently, and disclose quantified sustainability metrics over a five-year period. Despite an initial list of over 100 companies, fewer than 10 met these thresholds. This process made me learn an important lesson: there may exist a significant gap between the formal adoption of GRI standards and the actual availability of complete, comparable, and reliable data.

Our methodology focuses on several GRI topic standards, including GRI 302 (Energy), GRI 303 (Water and Effluents), GRI 305 (Emissions), and GRI 306 (Waste). Across these topics, we compiled 240 data points — 196 of which were valid, while 24 were unavailable or incomplete. While some companies demonstrated progress, such as reduced energy intensity or improved waste diversion, others reported flat or inconsistent data and seem to have no clear correlation between the reported metrics and actual sustainability performance.

Furthermore, for me, one of the most eye-opening aspects of this study is realizing the disparity between what companies say they do and what they actually report. Many companies claim to adhere to GRI standards in their sustainability reports. However, when we conduct a closer inspection, some of these reports only provide percentages without the underlying quantitative data; others include vague claims without any year-over-year metrics. There are also cases where key indicators, such as Scope 3 emissions or water consumption, are marked “N/A” without explanation. This experience has made me learn the limitations and challenges of current sustainability reporting practices, especially when it comes to voluntary standards.

These inconsistencies raise important questions about the role of accountability in ESG reporting. It pushes me to think further: if companies can selectively apply GRI metrics or omit data without consequence, how can stakeholders, such as from investors to regulators to consumers, more appreciate the reports? The lack of standardization might undermine the purpose of ESG disclosures, which is to inform decision-making and drive improvements in environmental and social outcomes.

At the same time, I have come to appreciate the complexity companies face in reporting sustainability data. Quantifying impacts like water use or emissions across global supply chains is resource-intensive, and many firms may lack the incentives to collect this data comprehensively. In this light, in the next phase, our project will conduct detailed case studies, explore commonalities among different companies, and study potential correlations between reporting indicators and companies' sustainability performance.

This project has deepened my understanding of the relationship between sustainability frameworks and corporate sustainability behaviour. This process made me learn that it is not just enough to take reported figures at face value, and one must understand the context behind the data: what is included, what is left out, and why. I am grateful for the opportunity to explore this intersection of data and sustainability reports, and I look forward to sharing further insights as our work progresses.