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Record W4381488120 · doi:10.2308/ajpt-2021-184

Public Communication of Audit Risks and Related-Party Transactions: Evidence from China

2023· article· en· W4381488120 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAuditing A Journal of Practice & Theory · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsScrutinyAuditChinaBusinessAccountingMatching (statistics)FinancePolitical scienceLaw

Abstract

fetched live from OpenAlex

SUMMARY This paper examines whether and how firms’ engagement in related-party transactions (RPTs) is shaped by public communication of audit risks as required by the expanded audit report. Using the phased regulatory changes in China and a difference-in-differences design with firm fixed effects and matching, we find that firms significantly reduce their RPTs after the adoption of expanded audit reports (EARs). To investigate potential mechanisms, we find that (1) investor scrutiny increases after the adoption of EARs, (2) the reduction of RPTs is more pronounced when EARs are more likely to attract investor attention, and (3) the reduction of RPTs is weaker when firms are less concerned about investor scrutiny. The results suggest that EARs can attract investor scrutiny and increase the possible penalty associated with self-dealing, thus motivating firms to reduce RPTs. Data Availability: Data are available from the public sources cited in the text. JEL Classifications: G30; G34; G38; M10; M16; M40; M41; M42: M48.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.073
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.073
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.007
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.282
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it