ESG rating uncertainty and audit quality

Purpose This study aims to examine how ESG rating uncertainty affects audit quality and explains its mechanisms and boundary conditions. Design/methodology/approach To explore the relationship between ESG rating uncertainty and audit quality in the Chinese market, the authors selected A-share listed companies as the empirical analysis sample. Robust empirical analysis methods, including instrumental variable methods and propensity score matching, were used to ensure result robustness. Findings Through empirical research, the authors find a significant positive correlation between ESG rating uncertainty and audit quality. Further mechanism analysis shows that ESG rating uncertainty creates an information effect, improves auditors’ judgment capabilities on risk matters and reduces auditor–client relationship mismatch, ultimately increasing audit quality. The authors explore the boundary conditions of the impact of ESG rating uncertainty on audit quality through information demand and information reception capabilities. The results indicate that when auditors have strong information demand and reception capabilities, the impact of ESG rating uncertainty on audit quality intensifies. Originality/value This study enriches the literature by providing empirical evidence on how ESG rating uncertainty affects audit quality, with a focus on the information effect. It explores boundary conditions from the perspectives of information demand and reception capabilities, enhancing the understanding of the economic consequences of ESG rating uncertainty for auditors’ information utilization.

Authors

Institutions

Publication Details

Journal
Managerial Auditing Journal
Published
2025-06-19
DOI
https://doi.org/10.1108/maj-10-2024-4547
Citations
3
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
11.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ESG rating uncertainty and audit quality

M.S. Tian, Xiaojuan Yang
3 citations
Managerial Auditing Journal
Auditing, Earnings Management, Governance
11.73
article

ESG rating uncertainty and audit quality

M.S. Tian, Xiaojuan Yang
article en
3 citations

Abstract

Purpose This study aims to examine how ESG rating uncertainty affects audit quality and explains its mechanisms and boundary conditions. Design/methodology/approach To explore the relationship between ESG rating uncertainty and audit quality in the Chinese market, the authors selected A-share listed companies as the empirical analysis sample. Robust empirical analysis methods, including instrumental variable methods and propensity score matching, were used to ensure result robustness. Findings Through empirical research, the authors find a significant positive correlation between ESG rating uncertainty and audit quality. Further mechanism analysis shows that ESG rating uncertainty creates an information effect, improves auditors’ judgment capabilities on risk matters and reduces auditor–client relationship mismatch, ultimately increasing audit quality. The authors explore the boundary conditions of the impact of ESG rating uncertainty on audit quality through information demand and information reception capabilities. The results indicate that when auditors have strong information demand and reception capabilities, the impact of ESG rating uncertainty on audit quality intensifies. Originality/value This study enriches the literature by providing empirical evidence on how ESG rating uncertainty affects audit quality, with a focus on the information effect. It explores boundary conditions from the perspectives of information demand and reception capabilities, enhancing the understanding of the economic consequences of ESG rating uncertainty for auditors’ information utilization.

Managerial Auditing JournalVol. 40(6)
Lanzhou University of Technology (CN), Beijing University of Chemical Technology (CN), Lanzhou University (CN)
Openalex Percentile: Top 2%
Auditing, Earnings Management, Governance
11.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.