Table 3.
The impact of AI on the mental health of manufacturing workers: overall and mediating effects.
| Variables | Mental health | Work environment | Mental health |
|---|---|---|---|
| Model 4 | Model 5 | Model 6 | |
| AI | −1.816** (0.774) | 0.157* (0.080) | −1.607** (0.765) |
| Work environment | −1.332*** (0.509) | ||
| Gender | −1.379* (0.762) | −0.162** (0.067) | −1.595** (0.772) |
| Age | −0.060 (0.044) | 0.002 (0.004) | −0.057 (0.043) |
| Marital Status | −1.866 (1.422) | 0.063 (0.111) | −1.782 (1.399) |
| Hukou status | 0.322 (0.892) | 0.180** (0.083) | 0.561 (0.892) |
| Years of education | −0.066 (0.143) | 0.014 (0.012) | −0.048 (0.141) |
| Physical health | −2.553*** (0.495) | 0.176*** (0.046) | −2.318*** (0.472) |
| Employer type | 0.104 (1.284) | −0.374*** (0.124) | −0.394 (1.298) |
| Annual income | −0.032 (0.156) | −0.015 (0.012) | −0.052 (0.153) |
| Labor union | 0.600 (0.878) | 0.040 (0.079) | 0.652 (0.879) |
| Work overtime | 0.845 (0.794) | −0.118 (0.072) | 0.688 (0.790) |
| The number of acquaintances | −1.368* (0.769) | 0.040 (0.071) | −1.315* (0.762) |
| Neighborhood support | 0.057 (0.408) | −0.016 (0.035) | 0.036 (0.405) |
| Regional characteristics | −0.714 (1.026) | 0.086 (0.097) | −0.600 (1.005) |
| Constant | 25.855*** (4.249) | 2.530*** (0.324) | 29.224*** (4.739) |
| Observations | 550 | 550 | 550 |
*
p < 0.1,
**
p < 0.05,
***
p < 0.01.