Assessing the Social Impact of Corporations: Evidence from Management Control Interventions in the Supply Chain to Increase Worker Wages
Bibliographic record
Abstract
ABSTRACT This study examines an initiative by a large multinational garment retailer (H&M Group) to increase wages at its supplier factories by intervening in their wage‐related management practices. Difference‐in‐differences estimates based on eight years of data from over 1,800 factories show that the interventions were associated with an average real wage increase of approximately 5% by the third year of implementation. Our estimates suggest that the intervention‐associated wage increase was many times greater than if the retailer's cost for the program was instead paid directly to affected workers. We find that the wage effects were driven by factories with relatively poorer supplier ratings and do not find significantly different wage effects depending on the presence of trade unions. We also examine several nonwage outcomes such as factory orders, supplier price competitiveness, overtime pay, and total employment to probe the mechanisms underlying the wage increases. These findings offer new evidence on corporate social impact in global supply chains.
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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 | 0.017 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".