Does Egalitarian Democracy Boost Environmental Sustainability? An Empirical Test, 1970-2017
Bibliographic record
Abstract
Many argue that the twin problems of poverty and environmental degradation are best addressed by adopting greater egalitarian processes of governance. Greater egalitarian societies apparently contain the required social trust and consensus for making hard choices and tradeoffs for achieving environmental gains. We employ novel data on egalitarian democracy, which measure the equal access of the poor to political power and societal resources, and data covering weak and strong sustainability measured by the “adjusted net savings” and several indicators of atmospheric pollution. The results suggest that greater egalitarian governance reduces weak sustainability and increases the intensity of climate-harming pollution. Regardless of democracy, other measures of social equity, such as the GINI and equal access to health and political resources, increase, not decrease, atmospheric pollution. These results are robust to estimating procedure, several alternative models, and data. While liberté, egalité and fraternité should be pursued for their own intrinsic value, meeting urgent challenges from global warming may require more targeted solutions.
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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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.057 | 0.004 |
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".