Empirical Link between Macroeconomic Policy Variables and the Performance of Quoted Agro-Based Firms in Nigeria
Why this work is in the frame
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Bibliographic record
Abstract
This paper modeled the determinants of quoted agro-based firm’s performance equation in Nigeria. Time series data employed in the analysis covered the period 2000-2012 and was obtained from Central bank of Nigeria. Data were analyzed using the Ordinary Least Square (OLS) regression technique. To ascertain for stationarity, Augmented Dickey Fuller (ADF) unit root test was conducted on the variables. Result revealed that while Energy consumption per capita (ENRt), Install Capacity Utilization Rate (ICUt),Total Commercial Bank credit to Small Scale Industries (TCBCt), exerted significant positive impact on agro-based performance, exchange rate ( EXRt) impacted negatively on agro-based performance. This underscores the need to pursue policies that would improve energy production in the country, ensure proper funding of the sector and stabilizes exchange rate as the way out.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it