The effect of culture on accounting conservatism during adoption of IFRS in the EU
Bibliographic record
Abstract
Purpose This paper aims to examine the impact of culture on accounting conservatism during transition to international standards. Design/methodology/approach The sample used in this analysis consists of 15 countries of the European Union that have adopted International financial reporting standards (IFRS) pursuing Regulation N° 1606/2002. The study covers the 2000-2010 period. Two conservatism measures are used, the Basu (1997) measure to account for conditional conservatism and the accruals measure to account for unconditional conservatism. To test the impact of culture, the six dimensions of Hofstede (1980, 2010) are used. Findings The results of the analysis show that variation of conditional conservatism is influenced by the six cultural dimensions. However, unconditional conservatism is only affected by power distance. Originality/value The results of the study are interesting and provide a better understanding of the adoption of IFRS worldwide. The role of culture in explaining accounting practices after adopting a single set of accounting standards is particularly highlighted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".