Tax Revenue, Capital Formation, and Economic Growth in Nigeria
Bibliographic record
Abstract
Economic growth drivers aimed at stimulating and stabilizing the economies of the countries to engender sustainable growth. Studies have shown that Nigeria has been plagued with stunted and faltering economic growth over the years. Tax and other relevant macroeconomic policies are implemented by the government to smoothen out economic fluctuations but this has not been fully harnessed. A causal-effect study was conducted between tax revenue, gross fixed capital formation and economic growth using a 38-year time series data from 1981 to 2018 derived from CBN statistical bulletin. It was found that tax revenue (TR) had significant positive effect on Gross Domestic Product and Gross Fixed Capital Formation (GFCF) significantly controls the relationship between TR and GDP. It is evidenced that the country relied heavily on taxes as major source of revenue. The study recommended that government should widen its tax net, creates expansionary measures to enhance its tax revenue in order to boost its GDP. The government should also create an enabling environment for economy diversifications in order to increase revenue generated via other means than taxes in order to spur economic growth and avoid over-reliance on taxes.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".