Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 294

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

CORPORATE TAX AVOIDANCE: A LITERATURE REVIEW AND RESEARCH AGENDA

Wang, Fangjun, Xu, Shuolei, Sun, Junqin, Cullinan, Charles P.·2020·Journal of Economic Surveys

Abstract

Tax avoidance can range from reduction of the corporate tax burden by legitimate use of tax rules to violation of tax laws. In this paper, we endeavor to synthesize the major findings of tax avoidance research from the accounting and finance literatures over the past ten years. We consider theoretical developments and the related empirical findings about the interconnected issues of measuring tax avoidance, and the possible causes and outcomes of corporate tax avoidance. We present some ideas for further research to examine underexplored topics regarding tax avoidance.

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/joes.12347

Cites

84 of 84 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 84 references

Cited by

See all 294

Metadata

Authors
Wang, F., Xu, S., Sun, J., & Cullinan, C. P.
Venue
Journal of Economic Surveys
Publisher
Wiley
Published
2019-12-06
Volume
34
Issue
4
Pages
793-811
ISSN
  • 0950-0804 (ISSN-L)
  • 1467-6419
OpenAlex
W2992984190
Cited by
294
References
84
FWCI
44.86
Type
journal article
Language
en
Open access
closed

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: CORPORATE TAX AVOIDANCE: A LITERATURE REVIEW AND RESEARCH AGENDA. https://app.cochat.ai/papers/10.1111/joes.12347
The paper
Wang, F., Xu, S., Sun, J., & Cullinan, C. P. (2020). CORPORATE TAX AVOIDANCE: A LITERATURE REVIEW AND RESEARCH AGENDA. Journal of Economic Surveys. https://doi.org/10.1111/joes.12347

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.