Does Tax Knowledge Motivate Tax Compliance in Malaysia?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to clarify whether tax knowledge of individual taxpayers motivates tax compliance in Malaysia. Studies with similar topics express the fact that there still exists a gap in profiling the demographic characteristics of knowledgeable taxpayers and better compliant taxpayers in Malaysia. Age, gender, income groups, and education level were the demographic variables used to study the association. The study applied a survey method for data collection. The population targeted was the individual taxpayers across Malaysia, whereby a sample of 419 respondents involved in this study. T-test, One-Way ANOVA, and Pearson correlation analysis had been employed to analyse the data. The outcome of the study reveals that knowledgeable taxpayers are not better tax complaining of taxpayers in Malaysia. Further, the relationship between tax knowledge and tax compliance is negative and insignificant. This paper studied the association of tax knowledge with tax compliance level, which attempt to contribute to the literature and aids tax administration to intensify not only tax law educations but also tax penalties for tax evaders.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it