Sustainable developments, renewable energy, and economic growth in <scp>C</scp>anada
Bibliographic record
Abstract
Abstract The object of this paper is to investigate the dynamic causal relationship between economic growth and renewable energy in Canada. The causal relationship is examined under the neoclassical production function framework. We employed a panel autoregressive distributed lag model controlling for different states of the economy by incorporating a dummy variable, which indicates the economic peak and trough. The data set consists of annual real GDP, capital formation, labor, and electricity generation by renewables for nine Canadian provinces covering from 1981 to 2015. The empirical results find that there is a unidirectional causality from renewable energy to economic growth in the long run. In the short run, a unidirectional causality going from renewable energy to economic growth only during the expansion period is observed. Our study suggests that renewable energy policies should be designed and implemented in a way that takes into account the nonlinear relationship between renewable energy and economic growth. This could involve promoting the development and deployment of renewable energy sources as part of their economic stimulus packages during economic upturns.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".