Foreign Direct Investment and Information Communication Technology Taxation Effects on Tax Income Growth
Bibliographic record
Abstract
The necessity to confirm the effectiveness of ICT tax and FDI to government income from tax in Nigeria. The policy to levy ICT-based enterprises appears to raise firms' tax burdens, however it requires rigorous analysis to determine if this policy should be amended or supported. The purpose of this study is to look into the boost that ICT taxes and FDI inflows have brought to tax revenue collection in Nigeria. The study employs descriptive and inferential statistics, different diagnostic tests, and ordinary least squares techniques to analyze the efficacy of ICT taxes and FDI in increasing general tax income. The analysis shows that ICT tax has a positive and considerable impact on tax revenue, whereas FDI inflows have a somewhat favorable impact but have no effect on tax revenue. The global growth of ICT and the accompanying tax in Nigeria has certain economic and financial ramifications that have not been examined. Several researches on ICT and FDI have been published, however this unusual taxing feature has yet to be explored in the current studies.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".