The Influence of Country‐ and Firm‐level Governance on Financial Reporting Quality: Revisiting the Evidence
Bibliographic record
Abstract
Abstract This paper examines how firm‐level governance and country‐level governance interplay in shaping financial reporting quality. Using IFRS adoption as a source of variation in firms’ reporting discretion, and a large sample of European firms that mandatorily switch to the new set of standards, we find that in countries with low enforcement and weak oversight over financial reporting, only firms with strong board‐level corporate governance mechanisms experience an increase in financial reporting quality, consistent with firm‐ and country‐level governance mechanisms being substitutes. However, in countries with high enforcement and strict oversight over financial reporting, firms with either strong or weak board‐level governance mechanisms experience an increase in financial reporting quality, even if the increase is larger for the former group. Overall, our findings indicate that in the debate about the effects of governance on the quality of financial reporting, it is important to consider both country‐ and firm‐level corporate governance mechanisms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.064 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".