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Record W1876840454 · doi:10.5430/ijfr.v6n4p161

The Role of Taxation Education on Taxation Knowledge and Its Effect on Tax Fairness as well as Tax Compliance on Handicraft SMEs Sectors in Indonesia

2015· article· en· W1876840454 on OpenAlexvenueno aff
Imam Mukhlis, Sugeng Hadi Utomo, Yuli Soesetio

Bibliographic record

VenueInternational Journal of Financial Research · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessTax creditIndirect taxValue-added taxTax avoidancePublic economicsTax reformEconomics

Abstract

fetched live from OpenAlex

This study aims to analyze the role of taxation education on the tax knowledge and its impact on tax fairness and tax compliance of handicraft SME sector in Indonesia. The unit of analysis is handicraft SMEs businessman located in the district / city in the province of East Java, Indonesia. The type of data is primary data obtained through a questionnaire technique. Samples were obtained from a population sample that is taken with a multistage method with simple random sampling technique. While the data analysis method used is the analysis of Structural Equation Modeling by using Partial Least Square. The study provides conclusions, namely; tax education has a positive and significant impact on tax knowledge, tax knowledge has a significant and positive effect on tax fairness, tax fairness has a significant positive effect on tax compliance and tax knowledge has a significant and positive effect on tax compliance. Based on these results, the strengthening of the tax education is very important in shaping the tax knowledge, so that it can increase tax compliance. In this case the tax socialization efforts can be done through the dissemination of information about the types of taxes, tax rates, and tax payment mechanisms.

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)0.005
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
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 head0.070
GPT teacher head0.366
Teacher spread0.296 · 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

Citations55
Published2015
Admission routes1
Has abstractyes

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