供应链网络中ESG风险的测量
Measuring ESG Risk in Supply Networks
AI总结：
本文提出一种改进的测量框架，用于评估供应链中与低评级公司交易对公司ESG评级的影响，以减少绿色洗冤风险。
摘要：
环境、社会和治理（ESG）评分是投资者优先考虑具有良好企业行为公司的投资方式。然而，ESG评分在多种方式上容易受到绿色洗冤的影响。本文研究了与低评级公司交易对目标公司自身评级的影响。为此，我们引入了一种测量框架，推广了PageRank和Alpha Centrality，允许调整聚合和路径计数方法以抵御绿色洗冤并反映评分者的意见和对危害累积的偏好。这些指标允许更新目标的ESG评分，识别有影响力邻居，并评估目标在供应链中受到不良行为影响的脆弱性。我们在这类合成ESG交互网络以及实际的公司间网络和国际贸易网络上研究了这些指标。
英文摘要：
Environmental, Social and Governance (ESG) rating is a way for investors to prioritise investments in companies with good corporate behaviour. However, ESG ratings are vulnerable to greenwashing in a number of ways. In this paper we study the effect that trade with badly rated companies has on a target company's own rating. To do this we introduce a measurement framework, generalising PageRank and Alpha Centrality, which allows tuning of aggregation and path counting approaches to resist greenwashing and reflect the rater's opinions and preferences for harm accumulation. These metrics allow updating of the target's ESG rating, identification of influential neighbours and assessment of vulnerability of the target to bad behaviour in their supply network. We study these metrics on synthetic ESG interaction networks as well as a real inter-company network and the international trade network.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
