ESG disclosure as advertisement of corporate bond issuances
Andreas G.F. Hoepner,
Frank Schiemann,
Fabiola I. Schneider and
Raphael Tietmeyer
International Review of Financial Analysis, 2025, vol. 106, issue C
Abstract:
This paper investigates whether firms strategically increase their environmental, social, and governance (ESG) disclosure levels beyond what is expected as a signal to investors to obtain better access to finance. Analyzing 3122 firm-year observations in the US corporate bond market from 2009 to 2017, we find this signal across all three ESG dimensions for firms facing high refinancing risk. Moreover, we find that firms that issue a bond generally have higher ESG disclosure levels than firms that do not. We further confirm our hypotheses by providing empirical evidence that financial benefits in terms of lower bond spreads are realized. We demonstrate that the signal is particularly prevalent within firms characterized by high earnings forecast dispersion and error. Our results are robust in a Heckman (1979) model and pass the Oster (2019) test. The findings highlight the important role of bond markets in incentivizing voluntary ESG disclosure.
Keywords: ESG reporting; Signaling theory; Refinancing risk; Corporate bonds; Voluntary disclosure (search for similar items in EconPapers)
JEL-codes: F34 M37 M41 Q5 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521925005654
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:finana:v:106:y:2025:i:c:s1057521925005654
DOI: 10.1016/j.irfa.2025.104478
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().