Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 827

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Does Mandatory Adoption of IFRS Improve Accounting Quality? Preliminary Evidence

Open access
Ahmed, Anwer S., Neel, Michael, Wang, Dechun·2013·Contemporary Accounting Research

Abstract

We provide evidence on the preliminary effects of mandatory adoption of International Financial Reporting Standards (IFRS) on accounting quality for a relatively broad set of firms from 20 countries that adopted IFRS in 2005 relative to a benchmark group of firms from countries that did not adopt IFRS matched on the strength of legal enforcement, industry, size, book‐to‐market, and accounting performance. Relative to these benchmark firms, we find that IFRS firms exhibit significant increases in income smoothing and aggressive reporting of accruals, and a significant decrease in timeliness of loss recognition; however we do not find significant differences across IFRS and benchmark firms in meeting or beating earnings targets. Our findings contrast with findings in earlier studies which suggest that IFRS adoption leads to increased accounting quality. Our findings primarily hold for firms in strong enforcement countries, which suggests that enforcement mechanisms in these countries were not able to counter the initial effects of greater flexibility in IFRS relative to domestic GAAP.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1911-3846.2012.01193.x

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 827

Metadata

Authors
Ahmed, A. S., Neel, M., & Wang, D.
Venue
Contemporary Accounting Research
Publisher
Wiley
Published
2013-04-16
Volume
30
Issue
4
Pages
1344-1372
ISSN
  • 0823-9150 (ISSN-L)
  • 1911-3846
OpenAlex
W3123659572
Cited by
827
References
3
FWCI
129.28
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Does Mandatory Adoption of IFRS Improve Accounting Quality? Preliminary Evidence. https://app.cochat.ai/papers/10.1111/j.1911-3846.2012.01193.x
The paper
Ahmed, A. S., Neel, M., & Wang, D. (2013). Does Mandatory Adoption of IFRS Improve Accounting Quality? Preliminary Evidence. Contemporary Accounting Research. https://doi.org/10.1111/j.1911-3846.2012.01193.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.