How Does the Minimum Wage Affect Firm Investments in Fixed and Human Capital? Evidence from China
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Bibliographic record
Abstract
Abstract This paper empirically analyzes the impact of Chinese minimum wage regulations on the firm decision to invest in physical and human capital. We exploit the geographical and inter‐temporal variations of county‐level minimum wages in a panel data set of all state‐owned and all above‐scale non‐state‐owned Chinese firms covering the introduction of the new Chinese minimum wage regulations in 2004. In our basic regressions including all Chinese firms, we find significant negative effects of the minimum wage on human capital investment rates and no overall effects on fixed capital investment rates. When grouping firms by their ownership structure, we find that these results hold for most firms. Foreign‐owned firms are an exception to some extent, because the likelihood that they invest in human capital has not decreased in response to the policy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it