Environmental disclosure in emerging markets remains poorly understood, despite its critical role in sustainability governance. Here, we analyze 42,129 firm-year environmental disclosures from 4,571 Chinese listed firms (2008-2022) using machine learning techniques to characterize disclosure patterns and regulatory responses. We show that increased disclosure volume primarily comprises boilerplate content rather than material information. Cross-sectional analyses reveal systematic variations across industries, with manufacturing and high-pollution sectors exhibiting more comprehensive disclosures than consumer and technology sectors. Notably, regional rankings in environmental disclosure volume do not align with local economic development levels. Through examination of staggered regulatory implementation, we demonstrate that market-based mechanisms generate more substantive disclosures compared to command-and-control approaches. These results provide empirical evidence that firms strategically manage environmental disclosures in response to institutional pressures. Our findings have important implications for regulatory design in emerging markets and advance understanding of voluntary disclosure mechanisms in sustainability governance.

This paper analyzes the impact of risk disclosures in bond prospectuses on the credit risk premium in the Chinese corporate bond market through six textual characteristics comprehensively. In the empirical analysis, the collected 5199 bond prospectuses and structured data concerning control variables from 2006 to 2021 are used to perform the fixed effect regression analysis. The results show that fewer Words, less Boilerplate, higher Fog Index, more HardInfoMix, more Redundancy, and higher Specificity of risk disclosures in bond prospectuses will lead to a higher credit risk premium. Further tests demonstrate that ceteris paribus, the negative impact of Words and Boilerplate will be strengthened by implicit government guarantees carried by a state-owned enterprise but be weakened by better corporate business performance. However, ceteris paribus, positive effects of the Fog Index, HardInfoMix, Redundancy, and Specificity will be weakened when the bond issuer is state-owned but be strengthened by better corporate business performance.

In contrast to previous literature, our study not only examines the communicative value of Key Audit Matters (KAMs) through the capital market reaction to KAMs but also analyses the content and reporting format of KAMs, which vary based on the intrinsic risk of business activity. Using a sample of Chinese firms from 2017 to 2020, we find that more M&A-related KAMs are reported and they are disclosed through less boilerplate language when M&As are accompanied with the Performance Commitment contracts (PCs), an indicator as high possibility of overpayment during M&As thus inducing the high risk of the goodwill impairment and high litigation risk. Additionally, we find that the negative impact of PCs on boilerplate language is amplified when the benchmark in PCs is precisely achieved or when the firm has been sued in recent years. In other words, the disclosure of M&A-related KAMs is more tailored to the client firm when auditors observe a high risk for accountability. Consequently, capital market participants, as well as other recipients of auditing reports, such as regulators and analysts, perceive non-boilerplate M&A-related KAMs as informative for their decision-making process.