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How bad is your company? Measuring corporate wrongdoing beyond the magic of ESG metrics

机译:贵公司有多糟糕?衡量企业错误行为超越ESG指标的魔力

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摘要

Most attempts to measure corporate wrongdoing rely on data and indices sold by environmental, social, and governance (ESG) data providers. Developed for investors and market players, ESG data have been widely used in academia, but so far, little research has been conducted to assess and overcome the limitations of ESG indices. In this article, we take a first step in this direction and propose using an M-quantile regression approach to develop an index of corporate wrongdoing, understood as firms' involvement in controversies over universal human rights. We apply our proposed methodology to a novel and unique hand-collected dataset of 380 large publicly-listed firms from both advanced and emerging economies, covering the period 2003 -2012. We discuss the importance of these indices for managers and practitioners. (C) 2019 Kelley School of Business, Indiana University. Published by Elsevier Inc. All rights reserved.
机译:大多数衡量公司不法行为的企图依赖环境,社会和治理(ESG)数据提供商出售的数据和指标。为投资者和市场参与者开发,ESG数据已广泛用于学术界,但到目前为止,已经进行了很少的研究来评估和克服ESG指数的局限性。在本文中,我们朝这个方向迈出了第一步,并建议使用M-Simitile回归方法来制定企业错误行为的指标,理解为公司对普遍人权的争议的参与。我们将拟议的方法应用于来自先进和新兴经济体的380家大型公开上市公司的新颖和独特的手工收集数据集,涵盖了2003年至2012年期间。我们讨论了这些指数对管理人员和从业者的重要性。 (c)2019年Kelley商学院,印第安纳大学。由elsevier Inc.出版的所有权利保留。

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