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Record W2892186193 · doi:10.5539/ijef.v10n10p52

Incidence of Value Added Tax, Effects and Implications

2018· article· en· W2892186193 on OpenAlexvenueno aff
George Obeng

Bibliographic record

VenueInternational Journal of Economics and Finance · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
FundersKwame Nkrumah University of Science and Technology
KeywordsEconomicsValue-added taxConsumption (sociology)Tax incidenceAppropriationPublic economicsPaymentPublic financeConsumption taxValue (mathematics)Monetary economicsAd valorem taxTax reformFinanceMacroeconomics

Abstract

fetched live from OpenAlex

The current debate in the field of taxation and public finance is the concern of Value Added Tax (VAT) being inflationary and who the incidence or burden of payment falls. The implication from available literature and studies points to the fact that VAT can impact negatively on production and consumption, stifling free flow of economic activities. Literature is reviewed to find out the incidence of VAT and its implications on the firm and the consumer. It is established that VAT is not a cost to the business firm to make it inflationary but a charge independent of its pricing mechanism. It is also not extra cost to the consumer but part appropriation of the economic resource flow accruing to the consumer to settle the legitimate obligation of financing public expenditure. The paper concludes that the incidence of the tax is on the consumer and VAT is not inflationary but a means of tax optimality to stabilize the system in the event of market failure.

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)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.002
Scholarly communication0.0060.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.019
GPT teacher head0.239
Teacher spread0.220 · 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 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

Citations4
Published2018
Admission routes1
Has abstractyes

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