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Record W2949284975 · doi:10.5430/ijfr.v10n5p208

Goods and Services Tax and Sales and Services Tax in Malaysia: A Review of Literature

2019· review· en· W2949284975 on OpenAlexvenueno aff
Morni Hayati Jaafar Sidik, Nur Jannah Muhaidin, Masniza Supar

Bibliographic record

VenueInternational Journal of Financial Research · 2019
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsnot available
FundersUniversiti Kuala LumpurUniversity of Kuala Lumpur
KeywordsGoods and servicesRevenueGovernment (linguistics)Tax revenueGovernment revenueBusinessNewspaperPerspective (graphical)Public economicsAccountingEconomicsAdvertisingEconomyComputer science

Abstract

fetched live from OpenAlex

Introduction: Tax is the main source of revenue for the Malaysian government. Thus, to increase the government revenue, Goods Services Tax (GST) was implemented in Malaysia starting from April 2015 to replace the Sales and Services Tax (SST). However, starting from September 2018, the GST has been replaced back by the SST.Methodology: The study will review the prior literature on the tax reforms. It will analyse data from scholarly journals, newspapers, review articles and other related documents. The focus will be on the implementation of GST and new SST in Malaysia from different stakeholders’ perspective.Results: The results indicate that SST is much better to match with the Malaysian environment. This is because SST is tax friendly for both the business entities and the people of Malaysia.Conclusion and Recommendations: The findings would contribute to the literature and explains whether the move made by the Malaysian government to revert to SST is justifiable.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.865
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.103
GPT teacher head0.395
Teacher spread0.292 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2019
Admission routes1
Has abstractyes

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