Corporate controversy, social responsibility and market performance: International evidence
Jialong Li,
Zulfiquer Ali Haider,
Xianzhe Jin and
Wenlong Yuan
Journal of International Financial Markets, Institutions and Money, 2019, vol. 60, issue C, 1-18
Abstract:
This study explores whether firms strategically utilize symbolic and substantive CSR as means to repair reputational damage following a corporate controversy. Further, we shed light on market reaction towards firms’ engagement in symbolic and substantive CSR and how such reaction varies across countries when differing levels of trust are evident. Using a sample of 9117 firm-year observations in an international setting, we find that firms are more likely to engage in symbolic CSR than substantive CSR and the relationship between the level of controversy and the firm’s engagement in symbolic CSR is an inverted U. In addition, our two-way interaction analysis illustrates that the market positively views the symbolic CSR engagement following a corporate controversy, and this positive effect is only pronounced in countries with higher levels of mutual trust.
Keywords: Corporate controversy; Corporate social responsibility; Level of trust; Market performance (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S104244311830461X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:intfin:v:60:y:2019:i:c:p:1-18
DOI: 10.1016/j.intfin.2018.11.013
Access Statistics for this article
Journal of International Financial Markets, Institutions and Money is currently edited by I. Mathur and C. J. Neely
More articles in Journal of International Financial Markets, Institutions and Money from Elsevier
Bibliographic data for series maintained by Catherine Liu ().