ASPEK PERPAJAKAN TERHADAP PENSION PLAN DAN EMPLOYEE STOCK OWNERSHIP PLAN (ESOP)
Bibliographic record
Abstract
The purpose of this research is to analyze the implementation of the Employee Stock Ownership Plan (ESOP) in several countries and to analyze the taxation aspects of the Pension Plan and Employee Stock Ownership Plan (ESOP). This research uses a qualitative approach with data collection techniques through literature study. The results of the study show that the Employee Stock Ownership Plan (ESOP) is a form of incentive given by the company to its employees to become owners of company shares by giving employees the opportunity to buy shares at a certain price and time that has been carried out, which aims to provide rewards, create harmony , as well as increasing motivation and commitment to its employees. Ease in the field of taxation is one of the drivers of increased arrests of share ownership by employees. The United States, British Columbia, Canada and Ireland have specific rules governing relief from the issuance of shares to employees. In Indonesia, there is no tax regulation governing the granting of relief for the issuance of shares to employees. Tax regulations in Indonesia stipulate that in the event that the shares are given free of charge, then when the shares are issued they will be subject to Article 21 Income Tax (PPh) on their market value (in the case of being listed on an Exchange) or their nominal value (in the case of not being issued on a stock exchange). However, since 1999, Indonesia has issued regulations governing the tax treatment of stock options, namely by issuing Surat Edaran Direktur Jenderal Pajak Nomor SE-13/PJ.43/1999.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".