ESG和替代数据:用招聘信息捕捉企业的可持续发展相关活动

Arik Ben Dor, Jingling Guan, Adam Kelleher, Adam M. Lauretig, Ryan Preclaw, Xiaming Zeng
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引用次数: 2

摘要

环境、社会和治理(ESG)投资的出现导致了一系列研究,这些研究考察了将ESG考虑因素纳入投资组合绩效的影响。然而,对分析与ESG和可持续性有关的公司活动的关注有限。作者使用了自2014年以来美国公司发布的超过2亿个招聘信息的新数据集,并使用自然语言处理来识别与ESG相关的空缺,并评估公司计划的ESG活动。利用招聘数据,人们可以根据公司的行动来了解和监控计划中的与可持续发展相关的公司活动,而不是仅仅依赖于他们的公告(即,公司做什么,而不是公司说他们做什么)。作者发现,ESG职位发布数据可以作为企业ESG评级未来变化的领先指标。异常ESG招聘发布强度较高的公司更有可能经历随后的评级改善,并在发布日期后2-3年内享有更好的股票表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ESG and Alternative Data: Capturing Corporates’ Sustainability-Related Activities with Job Postings
The emergence of environmental, social, and governance (ESG) investing resulted in a flurry of studies examining the effects of incorporating ESG considerations on portfolio performance. Limited attention, however, was given to analyzing corporate activities related to ESG and sustainability. The authors employ a novel dataset of over 200 million job postings by US firms since 2014 and use natural language processing to identify ESG-related openings and assess companies’ planned ESG activities. Using the job posting data allows one to learn about and monitor planned sustainability-related corporate activities based on firms’ actions, rather than relying solely on their announcements (i.e., what firms do as opposed to what firms say they do). The authors find that ESG job posting data can serve as a leading indicator of future changes in firms’ ESG ratings. Firms with higher abnormal ESG hiring posting intensity were more likely to experience subsequent rating improvements and enjoyed better stock performance 2–3 years following the posting date.
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