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Record W2287709585 · doi:10.5539/ijef.v8n3p151

The Challenges and Imperative of Tax System Reform in Nigeria

2016· article· en· W2287709585 on OpenAlexvenueno aff
Nwosu M. Eze, Tondo E. Iorwuese, Wali B. Abba

Bibliographic record

VenueInternational Journal of Economics and Finance · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsTax reformTax revenueBusinessRevenuePublic economicsDirect taxAd valorem taxTax avoidanceFinanceGovernment (linguistics)Tax creditValue-added taxPublic financeIndirect taxDouble taxationEconomic policyEconomicsMacroeconomics

Abstract

fetched live from OpenAlex

Tax ranks next to the petroleum sector in terms of volume of public revenue generation in Nigeria as it is a major player in every society of the world. Government imposes taxes on the citizens in order to finance its activities and creates a conducive business environment for its citizens. In the process, responsibilities are assigned to three key elements namely, tax payers, tax authorities and the government. While tax authorities ensure effective collection of tax revenue to the government, tax payers are merely fulfilling their civic responsibilities and obligations. However, the tax system in Nigeria is confronted by myriad problems; multiplicity of taxation, especially among the three tiers of the government, low quality personnel, among others. This raises the need for reforms in the management of the tax system in Nigeria.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.287
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations8
Published2016
Admission routes1
Has abstractyes

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