工业机器人,要素市场扭曲和生产力

IF 2.7 3区 经济学 Q2 ECONOMICS Managerial and Decision Economics Pub Date : 2024-11-04 DOI:10.1002/mde.4422
Shaojian Chen, Dingyun Duan, Hua Wang
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引用次数: 0

摘要

我们发现机器人的采用显著提高了企业层面的TFP,但因素市场扭曲阻碍了机器人采用对企业层面TFP的促进作用。机理分析表明,工业机器人应用带来的成本节约和劳动生产率的提高刺激了新企业的市场进入,提高了现有企业的退出风险。这种动态加剧了竞争,从而改善了市场环境,从而有助于提高企业层面的全要素生产率。然而,要素市场扭曲阻碍了企业之间的优胜劣汰,抑制了市场进入和退出的竞争效应。这最终导致企业层面的全要素生产率增长缓慢。
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Industrial Robots, Factor Market Distortion, and Productivity

We find that robot adoption significantly increases firm-level TFP, but factor market distortion hinders the promotion effect of robot adoption on firm-level TFP. Mechanism analysis reveals that the cost-saving and labor productivity improvements brought about by industrial robot application stimulate market entry by new firms and elevate the exit risk for incumbent enterprises. This dynamic intensifies competition, resulting in an enhanced market environment that contributes to firm-level TFP. However, factor market distortions impede the survival of the fittest among firms and stifle the competitive effects of market entry and exit. This ultimately leads to sluggish growth in firm-level TFP.

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来源期刊
CiteScore
1.40
自引率
18.20%
发文量
242
期刊介绍: Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.
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