Measuring the sustainability of investment funds: A critical review of methods and frameworks in sustainable finance
By I. Popescu, Claudia Hitaj, E. Benetto. 2021
140 citations recorded by the source corpus.
Abstract Investors increasingly demand that asset managers measure the non-financial performance of their investment portfolios. Amidst concerns of greenwashing, reliable sustainability assessment methods are needed to ensure that funds are channeled towards priority sectors for the transition to a low-carbon and more inclusive economy. This critical review provides a classification, analysis and evaluation of current sustainability measurement methods for investment funds from both industry and academia. The evaluation is based on a seven-criteria matrix, developed based on gaps identified in seminal academic works and in reports from international organizations. Following the evaluation, we find that carbon footprints and exposure metrics and environmental, social and governance (ESG) ratings, while widely used, have several shortcomings, failing to capture the real-world sustainability impact of investments. We suggest that open-source, science-based and sustainability-driven assessment methods are prioritized going forward. Methods can be upgraded by incorporating measurement of positive impact creation and by adopting a life cycle perspective. Given the need to anchor sustainability assessments in the reality, the compatibility of investment products with science-based targets for sustainable development should become a central element of reporting requirements. Finally, methods incorporating a forward-looking perspective, as well as an assessment of investor's additionality are scarce and should be given priority in future research.
Subfields: Building and Construction, Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/9e67065251e2468faf28714455f8c91bd23ae71f
Citations in the corpus
- Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research (2022, unknown): “Investors also often demand non-financial performance metrics for such investments, with carbon footprints, exposure metrics, and ESG ratings gaining popularity despite their inherent limitations and shortcomings (Popescu et al., 2021).”