Enhancing the capacity of tax authorities and its impact on transfer pricing activities of FDI en-terprises in Ha Noi, Ho Chi Minh, Dong Nai, and Binh Duong province of Vietnam
Bibliographic record
Abstract
This study aims at discovering the relationship between the improvement in the capacity of tax authorities and its effect on the transfer pricing activities of foreign direct investment (FDI) enterprises in four provinces/cities of Vietnam: Ha Noi, Ho Chi Minh, Dong Nai, and Binh Duong province. These are the first localities in Vietnam to establish the Division of Transfer Pricing Inspectorate in local Tax Department, under the direction of General Department of Taxation of Vietnam. The paper then proposes a further study on how the tax authorities of Vietnam should improve their capacities to make FDI enterprises more compliant with the transfer pricing regulations in Vietnam. The authors deploy the method of quantitative research through collecting self-administered closed format questionnaires from people in charge of finance/accounting/transfer pricing of FDI enterprises operating in Ha Noi, Ho Chi Minh, Dong Nai, and Binh Duong province of Vietnam. The findings suggest that there was a strong probability that the capacity of tax authorities would impact on the transfer pricing activities of FDI enterprises in Ha Noi, Ho Chi Minh, Dong Nai, and Binh Duong of Vietnam. Vietnamese Government should enhance the capacity of the tax authorities; establish Transfer Pricing Inspectorate Division in all local Tax Departments of Vietnam. The authors believe that the improvement of tax officials' capacity especially those in charge of transfer pricing auditing will prevent the FDI enterprises from transfer pricing manipulation, hence these enterprises will be more compliant to transfer pricing regulations of Vietnam. The most significant value of the study is to support Vietnamese policymakers, especially those in the field of Finance (Ministry of Finance, General Department of Taxation) to improve their capacity when carrying out transfer pricing audit in FDI enterprises. The more transparent and aggressive the tax officials are, the better these enterprises follow the regulations.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".