ISSN 1008-2204
CN 11-3979/C

智能制造、环境污染与劳动力价格扭曲

Intelligent Manufacturing, Environmental Pollution, and Labor Price Distortion

  • 摘要: 改善劳动力价格扭曲是提升全要素生产率和实现高质量就业的重要突破口,智能制造打破原有劳动力高位扭曲的端倪初显。基于2006—2020年30个省(自治区、直辖市)的面板数据,研究首先系统梳理了智能制造和环境污染影响劳动力价格扭曲的作用机制,然后综合运用双向固定效应模型、交互固定效应模型和广义空间两阶段最小二乘法验证了智能制造和环境污染对劳动力价格扭曲的影响效应。研究结果表明:智能制造能显著缓解劳动力价格扭曲,这一结论在经过一系列稳健性检验后依然成立;环境污染在智能制造减缓劳动力价格扭曲的传导过程中发挥着部分中介效应,即环境污染本身不会缓解劳动力价格扭曲,但其强化了智能制造的减缓作用。现阶段,智能制造主要通过减少二氧化碳排放的强化缓解劳动力价格扭曲。

     

    Abstract: Correcting the distortion of labor factor prices is an important step toward improving total factor productivity and achieving high-quality employment, and intelligent manufacturing has begun to reduce the existing severe distortion of labor prices. This study first examines the mechanisms by which intelligent manufacturing and environmental pollution affect labor price distortion. Then, it tests these effects using a two-way fixed effects model, a generalized spatial two-stage least squares method, and an interactive fixed effects model with panel data from 30 Chinese provinces (including autonomous regions and municipalities) between 2006 and 2020. The results show that intelligent manufacturing can significantly alleviate labor price distortion, and this finding still holds after a series of robustness tests. Environmental pollution plays a partial mediating role in the process through which intelligent manufacturing mitigates labor price distortion. That is, environmental pollution itself does not mitigate this distortion, but it strengthens the mitigating effect of intelligent manufacturing. At present, intelligent manufacturing alleviates labor price distortion mainly through the mediating effect of carbon dioxide emission reduction.

     

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