Bibliographic record
Abstract
Can mandated adoption of corporate social responsibility (CSR) improve firm value? Most CSR adoption is purely voluntary. However, governments regularly encourage CSR adoption with soft regulations that vary from simply endorsing and symbolically supporting CSR to requiring the adoption of specific practices. Governments have resisted fully mandating CSR because there is some concern universally that mandated CSR may reduce firm value. There is, however, no empirical clarity as to whether mandated CSR impedes or improves firm value. We address this uncertainty by analyzing the effects of the mandated adoption of CSR that the government of India legislated in 2014. Drawing on a sample of 1,526 publicly traded firms and deploying a combinative analytical framework comprising an event study, regression discontinuity design, and a difference-in-differences technique, we conclude that India’s CSR mandate did, in fact, increase value for all firms bound by the mandate. This value-enhancing effect was greater for foreign firms relative to domestic firms. Our results refute previous research showing that India’s CSR mandate diminished firm value.
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.
How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".