Taiwan ESG Sustainability Dataset: Event Radar Score

**Overview** Covering all publicly traded companies, this quantitative model primarily considers variables such as event intensity, event novelty, event occurrence frequency, and time to derive the daily “Event Radar Score (ERS).” Users can use the ERS score to quickly assess the level of ESG event risk associated with a company, compare it with peers, or track ESG event risk trends over a specific period. **Use cases** Add use cases for the listing here. - Quantitative Analysis **Product details** Fields Included: - COID: Company code & name - Date: Announcement Date - TSE Industry: Industry classification based on TSE - SASB Industry: Industry classification based on SASB - Weight_Environment: Weight of ERS score in the Environmental (E) dimension - Weight_Social: Weight of ERS score in the Social (S) dimension - Weight_Governance: Weight of ERS score in the Governance (G) dimension - ERS_Environment: ERS score in the Environmental (E) dimension - ERS_Social: ERS score in the Social (S) dimension - ERS_Governance: ERS score in the Governance (G) dimension - ERS: Total ERS **Additional Insights** Users can swiftly discern the level of ESG event risk for publicly traded companies through the Event Radar Score (ERS). This data is useful for responsible investing, responsible lending, compliance with the Equator Principles(EPs), and academic research so as to monitor the status of investment targets or research subjects.

搜集汇总

背景与挑战

背景概述

该数据集覆盖台湾所有上市公司，通过事件强度、新颖性、频率和时间等变量计算每日事件雷达评分（ERS），以量化ESG事件风险水平。它提供环境、社会和治理维度的评分权重及总分，适用于责任投资、贷款合规和学术研究等定量分析场景。