Does economic complexity enhance governance quality in Africa?
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
The importance of governance in promoting economic growth and its crucial role in the achievement of other Sustainable Development Goals have been largely discussed in the literature. Given the importance of governance and the desire of all nations to ameliorate the level of governance, a growing literature has engaged in understanding its determinants. This study attempts to contribute to this literature by examining, for the first time, the effect of economic complexity on governance using data from 32 African countries over the period from 2002 to 2019. We elaborate four governance indicators based on a principal component analysis. Results provide strong evidence of a positive relationship, suggesting that moving to higher levels of economic complexity leads to better governance performance. We identify human capital, foreign direct investment, and income inequality as some transmission channels through which economic complexity promotes governance. Based on these results, several policy implications are discussed.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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