Greenwashing and Cost of Debt: Analyzing the Impact of ESG Disclosure Quality in Chinese Listed Companies
Qidong Yao ()
Additional contact information
Qidong Yao: Nanjing Agricultural University, College of Economics and Management
A chapter in Proceedings of 2024 6th International Conference on Economic Management and Cultural Industry (ICEMCI 2024), 2025, pp 161-169 from Springer
Abstract:
Abstract Environmental, Social, and Governance (ESG) information disclosure serves as a critical benchmark for assessing a company’s capacity for sustainable development. High-quality ESG disclosure entails the provision of comprehensive, precise, and timely information, complemented by demonstrable performance and future objectives in the relevant domains. The cost of debt pertains to the interest and associated expenses incurred by companies when sourcing funds through bond issuance, bank loans, or similar financial mechanisms. Enhanced ESG disclosure quality augments the transparency of corporate information, thereby enabling potential creditors to perform a more thorough risk appraisal of the firm. This study leverages data from non-financial firms listed on China’s Shanghai, Shenzhen, and Beijing A-share markets from 2012 to 2022. Employing the Greenwashing index as a proxy for ESG disclosure quality, this research investigates the influence of ESG disclosure quality on corporate cost of debt. The findings indicate that entities engaging in greenwashing tend to experience reduced cost of debt. This phenomenon may be attributed to the absence of standardized ESG evaluation criteria, which allows greenwashing practices to achieve market acceptance in the short term. Moreover, the analysis reveals a more pronounced negative impact of the greenwashing index on cost of debt among non-state-owned enterprises. This paper advocates for the enhancement of ESG disclosure standards and regulatory frameworks to improve corporate ESG transparency.
Keywords: ESG Information Disclosure; Greenwashing Index; Cost of Debt; Corporate Nature of Ownership; Panel Regression (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:advbcp:978-94-6463-642-0_17
Ordering information: This item can be ordered from
http://www.springer.com/9789464636420
DOI: 10.2991/978-94-6463-642-0_17
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().