Assessing the Political Economy of Policy Instability and its Effect on Nigerian Economic Growth, 1970-2015
Bibliographic record
Abstract
This study examines the political economy of policy instability and its effect on the Nigerian economic growth from 1970 to 2015.The study tries to measure the effect of political policy instability on the Nigerian economic growth, focusing on the assessment of the relationship between political instability and unsustainable national economic growth in Nigeria.The researchers adopts the two stage least square of the static model and ADF and PP unit root test structural co-integration test as well as Pariwise Granger Causality.The research findings revealed that there is significant effect of policy instability on the Nigerian economic growth during the chosen period of observation and that there is no causality relationship between political instability and unsustainable national economic growth in Nigeria during the chosen period of study.In the light of the research findings, the researchers recommend transformational leadership and constitutional reform in Nigeria, which will go a long way to calm down the effect policy instability on Nigerian economic growth and development.Again the study calls for the promotion of citizenship over indignity in order to achieve cooperation and participation of all the masses and communities in the development process.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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".