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Corporate Taxation and Capital Structure: Evidence from Russia

2017· article· en· W3123427029 on OpenAlex
Evgeny Ilyukhin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Corporate Finance Research / Корпоративные Финансы | ISSN 2073-0438 · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsYork University
Fundersnot available
KeywordsCapital structureLeverage (statistics)Market liquidityProfitability indexPanel dataMonetary economicsEmpirical evidenceSample (material)Equity (law)DebtBusinessDebt ratioEconomicsFinancial economicsFinanceEconometrics

Abstract

fetched live from OpenAlex

The study aims to empirically analyze whether corporate taxation has an impact on firm capital structure decisions. The results, based on panel data on Russian private (non-listed), non-financial and non-state owned firms, show that taxation has a significant impact on firm financial leverage (negative in terms of long-term debt and positive in terms of equity). The smallest and largest firms of the sample respond more dramatically to effective tax rates. The results are robust according to the applied tests. Moreover, additional empirical results are obtained for the standard capital structure determinants (size, profitability, tangibility and liquidity of assets), which contribute to capital structure theories.

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.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.007
Open science0.0020.001
Research integrity0.0000.001
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 head0.172
GPT teacher head0.331
Teacher spread0.159 · 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