Research Center for Statistics and Interdisciplinary Sciences | School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan, 250014, China.
Centre for Corporate Sustainability and Environmental Finance, Department of Applied Finance, Macquarie University, Sydney, NSW, 2109, Australia.
Sci Data. 2023 Mar 31;10(1):182. doi: 10.1038/s41597-023-02093-3.
Enterprises, as key emitters, play a vital role in promoting sustainable development. Corporate sustainability disclosure provides a key channel for stakeholders to gain insights into a company's sustainability progress. However, few studies have been conducted to measure sustainability disclosure at the firm level. In this study, we apply the machine learning techniques to listed companies' management discussion and analysis (MD&A) documents and construct a dataset on corporate sustainability disclosure, including the Corporate Sustainability Disclosure Index (CSDI), CSDI_Economic Dimension (CSDI_ECO), CSDI_Environmental Dimension (CSDI_ENV), and CSDI_Social Dimension (CSDI_SOCI). The dataset will be updated annually. To the best of our knowledge, this is the first sustainability disclosure dataset constructed at the firm level. Our dataset reflects corporate managements' sustainability attitudes and promotes the implementation of corporate sustainability strategies and subsequent sustainable economic and social outcomes.
企业作为主要排放者,在推动可持续发展方面发挥着至关重要的作用。企业可持续发展信息披露为利益相关者了解公司可持续发展进展提供了一个关键渠道。然而,目前很少有研究来衡量公司层面的可持续发展信息披露。在本研究中,我们应用机器学习技术对上市公司的管理层讨论与分析(MD&A)文件进行分析,并构建了一个关于企业可持续发展披露的数据集,包括企业可持续发展披露指数(CSDI)、CSDI_经济维度(CSDI_ECO)、CSDI_环境维度(CSDI_ENV)和 CSDI_社会维度(CSDI_SOCI)。该数据集将每年更新。据我们所知,这是首个在公司层面构建的可持续发展披露数据集。我们的数据集反映了企业管理层的可持续发展态度,促进了企业可持续发展战略的实施以及随后的可持续经济和社会成果。