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Record W4400386301 · doi:10.51505/ijebmr.2024.8607

A Study on the Improvement of Income Tax reporting For Business Combinations in Mongolia

2024· article· en· W4400386301 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Economics Business and Management Research · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Systems and Logistics Management
Canadian institutionsnot available
Fundersnot available
KeywordsTaxable incomeDividend taxWrite-offIncome taxBusinessState income taxGross incomeAccountingInternational taxationFinancial statementFinanceTax reformEconomicsPublic economicsAudit

Abstract

fetched live from OpenAlex

In line with the international trend and practice of deeming associated entities as a single economic unit and assessing the taxable income at the group level based on the consolidated income tax statements, many countries in the world including the United States, Australia, New Zealand, and France allow the preparation of consolidated income tax returns and provide special tax credits and exemptions for transactions between the parent and subsidiaries companies of the group, unrealized gains (losses) arising from them, and intercompany dividends. This study aims to examine the needs and demand to prepare a consolidated income tax report, the current practice of business combinations to file income tax returns, and some issues related to the methodology of preparing a consolidated income tax statement. This study also attempts to prepare a consolidated income tax statement form for national business combinations according to the international trend within the framework of the currently acting laws and regulations of Mongolia and to prepare recommendations for improving the consolidated income tax reporting for the business combinations. This paper uses a Ten-step methodology for recording the impact of income tax within the framework of IFRS used in the research of B.Byambakhishig (2017). Our data covers separate financial statements, income tax reports, intercompany transactions, and other related financial data of "AM" LLC (Canadian-invested mining company) and its fully controlled "ASI" LLC, which operates business in mining subcontracting, software development, and analytics. The study lacks a recording of the impact of income tax and income tax consolidation, therefore, a further study will be conducted on the consideration related to the analysis of the Consolidated Income Tax Statements.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.191
GPT teacher head0.367
Teacher spread0.176 · 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