Linkages between Trade Openness, Productivity and Industrialization in Nigeria: A Co-integration Test
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 examines the effect of trade openness and total factor productivity on industrial output in Nigeria. The data used for this analysis covers the period 1981-2015. The paper employs the VAR model in estimating the effect of trade openness on industrial output. The impulse response function and the variance decomposition are used to examine the response of industrial output to shocks in trade openness and total factor productivity. The results show that trade openness has a positive increasing effect on industrial output in Nigeria while the effect of total factor productivity on industrial output is found to be insignificant. The impulse response function shows over the long run period tfP negative effect on industrial output in Nigeria. The findings of this study certainly have important policy implications: it suggests that policies geared towards increasing trade openness should be encouraged as this tends to improve industrial output. This study contributes to economics literature by looking at the degree to which trade openness and total factor productivity influence industrial output in Nigeria.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it