Journal
BUSINESS HORIZONS
Volume 63, Issue 3, Pages 287-299Publisher
ELSEVIER
DOI: 10.1016/j.bushor.2019.09.004
Keywords
Corporate wrongdoing; Business ethics; Business and human rights; M-quantile regression; ESG data
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available