Natural resources and economic growth in Asia: The moderating role of governance
Why this work is in the frame
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Bibliographic record
Abstract
The current study extends the existing literature by exploring the moderating role of governance in the association between natural resources and economic growth. Using a large range of periods (1996–2019) of 48-Asian economies as a sample, this study employs the system GMM and FMOLS models to investigate proposed relationship. The analysis implies that natural resources have an adverse impact on economic growth. However, the interaction of a better governance system converts this curse impact of natural resources into blessings. The diffusion of a better governance system can enhance the efficiency of natural resources and thus more economic growth. The empirical analysis further discloses the moderating role of governance in the nexus between resource rents-economic growth. Policy officials should exercise better governance to enhance efficiency of natural resources. This study supplements the innovative thoughts regarding role of better governance systems in improving economic growth through channel of resource utilization.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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