声誉
气候变化
业务
气候风险
气候正义
温室气体
自然资源经济学
会计
环境规划
环境科学
经济
政治学
生态学
生物
法学
作者
Julia Bingler,Mathias Kraus,Markus Leippold,Nicolas Webersinke
标识
DOI:10.1016/j.jbankfin.2024.107191
摘要
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.
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