How cheap talk in climate disclosures relates to climate initiatives, corporate emissions, and reputation risk
研究利用深度学习算法识别企业年报中的气候相关廉价谈话，发现其与排放增长和负面新闻相关，有助于评估气候倡议效果和声誉风险。
Navigating the complex landscape of corporate climate disclosures and their real impacts is crucial for managing climate-related financial risks. However, current disclosures oftentimes suffer from imprecision, inaccuracy, and greenwashing. We introduce ClimateBert CTI, a deep learning algorithm, to identify climate-related cheap talk in MSCI World index firms’ annual reports. We find that only targeted climate engagement is associated with less cheap talk. Voluntary climate disclosures are associated with more cheap talk. Moreover, cheap talk correlates with increased negative news coverage and higher emissions growth. Hence, cheap talk helps assess climate initiatives’ effectiveness and anticipate reputation and transition risk exposure.