A carbon information disclosure perspective on carbon premium: Evidence from China
Xuejiao Ma,
Tianqi Che and
Xiaohua Sun
Journal of Business Research, 2024, vol. 173, issue C
Abstract:
This study advances the role of the characteristics of the signal environments, in particular carbon concerns and signaling costs, to explain variation in the carbon premium. Empirical evidence indicates that proactive carbon information disclosure acts as a positive market signal and can enhance stock returns, with disclosure quality further augmenting the carbon premium. While investor confidence serves as a mediating factor, the influence of debt financing costs remains constrained. Signal environments will moderate the carbon premium: in regions and industries with high carbon concerns, the carbon premium is strengthened significantly. Concurrently, smaller firms and those engaging in voluntary disclosure, characterized by elevated signaling costs, also have a higher carbon premium. Our research unravels the dynamics of the carbon premium through the lens of carbon information disclosure, offering invaluable insights for investor decision-making and managerial corporate governance.
Keywords: Carbon information disclosure; Carbon premium; Stock returns; Signaling theory (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296323008263
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:jbrese:v:173:y:2024:i:c:s0148296323008263
DOI: 10.1016/j.jbusres.2023.114467
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().