The Price of Greenwashing: Algorithmic Verification and Market Discipline using Conformal Machine Learning
Not provided in the abstract
Abstract
This study addresses the issue of greenwashing in corporate sustainability by providing a method to objectively quantify corporate emissions using algorithmic verification.
Reality Card
The study establishes a novel metric (CWCD) that quantifies the divergence between self-reported emissions and algorithmically verified emissions, demonstrating a significant negative relationship with market valuation and operational profitability.
The algorithmic emissions divergence shows a statistically significant negative relationship with Tobin's Q and ROA.
The study relies on the availability and accuracy of self-reported emissions data and SEC financial fundamentals, which may vary.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.