Renewable Governance: Good for the Environment?
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
ABSTRACT We conjecture that board renewal mechanisms—those substantive enough to renew the thinking of the board—are required before investors can address the mismatch between their preferences regarding environmental sustainability and what insiders at firms are actually doing. We identify the adoption of majority voting for directors and the introduction of a female director as two corporate governance mechanisms potentially strong enough to renew a board's thinking on sustainability. Using a sample of 3,293 firms from 41 countries, along with quasi‐exogenous shocks to board renewal mechanisms in Canada and France, we find that both board renewal mechanisms are associated with significantly higher future environmental performance. Further tests provide suggestive evidence that board renewal is more strongly associated with environmental performance in settings with better institutions and more motivated institutional investors. These results suggest the importance of board renewal for alignment of firm policies with investor preferences around the world.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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 it