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Record W3129703585 · doi:10.5267/j.ac.2021.1.020

The effect of tax rate on sales tax compliance among Jordanian public shareholding corporations

2021· article· en· W3129703585 on OpenAlexvenueno aff
Ahmad Farhan Alshira’h, Ali Mustafa Magablih, Moh’d Alsqour

Bibliographic record

VenueAccounting · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessRevenueStock exchangeValue-added taxTax revenuePaymentAccountingCompliance (psychology)Tax creditContext (archaeology)Government (linguistics)Public economicsFinanceEconomics

Abstract

fetched live from OpenAlex

Compliance to tax payment generally results in mitigating fiscal deficit and public debt, and in turn, provides funding to meet the economic and social development. However, regardless of the directed efforts of the government to increase sales tax compliance (or value added tax as it is referred to globally), Jordanian listed firms on the Amman Stock Exchange, compliance remains an issue in light of its negative impact on the government revenues. Literature dedicated to tax rate effects on sales tax compliance in the context of listed Jordanian firms on the Amman Stock Exchange has largely been lacking and as such, the study’s main objective is to examine the effect of tax rate on sales tax compliance among such firms. The study adopted a survey method with questionnaire copies distributed to 191 listed Jordanian firms. In the tabulation of data, only 169 questionnaire copies were deemed to be valid for the analysis. The formulated study hypotheses were tested using PLS-SEM and based on the results, tax rate has an insignificant effect on sales tax compliance. Future studies are recommended to provide further insight into the study determinants. The study contributes by furnishing information to and guiding policymakers and the listed Jordanian firms in enhancing sales tax compliance.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.028
GPT teacher head0.238
Teacher spread0.210 · 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 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

Citations24
Published2021
Admission routes1
Has abstractyes

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