MétaCan
Menu
Back to cohort

Organizational structure and corporate tax burden in the absence of consolidated tax reporting

2025· article· en· W4416783626 on OpenAlexaff
Kimberly S. Krieg, Yu Ruan, Liangliang Wang, Kaishu Wu

Bibliographic record

VenueJournal of Accounting and Public Policy · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsUniversity of Waterloo
FundersNational Natural Science Foundation of China
KeywordsOrganizational structureCorporate taxCapital structureDeferred taxInternational taxation

Abstract

fetched live from OpenAlex

This paper examines the impact of the absence of consolidated tax reporting (CTR) on a business group’s overall tax burden, when compared to a standalone firm. Relying on a Chinese setting, where domestic income shifting opportunities exist, but CTR is not permitted, we find that business groups, considered as a single unit, exhibit a higher level of tax burden compared to standalone firms. Mechanism analyses suggest that this effect is largely driven by the inability to offset losses against profits across group members, limited deductibility of certain expenses, and the burden to pay taxes on unrealized internal profits. In additional analysis, we find that the tax disadvantage of business groups is mitigated for those with a greater ability to shift income. Overall, our research contributes to the literature examining the role of organizational structure on firms’ tax burdens and has important implications for policymakers around the world in defining the tax base of business groups.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.255
Teacher spread0.233 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Accounting and Public PolicySame topicCorporate Taxation and AvoidanceFrench-language works237,207