Determinants of Environmental, Social, and Governance Measures: Evidence from European Insurance Companies
Bibliographic record
Abstract
The present study aims to assess the determinants of the environmental, social, and governance (ESG) performance of European insurance companies, exploring the connections between the determinants and each of the three ESG pillars. Using a European panel dataset, the study includes a sample of the 30 most relevant European insurance companies listed in the stock exchange index Stoxx Europe 600 index, over the period 2016–2020. Main findings indicate that older insurance companies, with a larger dimension and profitability, less leveraged, with smaller boards, but with more gender diverse boards, with a sustainability committee and with a standalone sustainability report, tend to present a higher level of ESG performance. Findings also indicate that insurance companies with higher ESG performance are located in countries with higher gross domestic product growth rate. The current research setting has never been studied hitherto. Therefore, it adds to the limited empirical research on the determinants of ESG performance among insurance companies, which is focused on insurances companies in the United States of America.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".