工业机器人应用和制造业企业的总因子生产率
Minghui Zhao1, Zhenhua Wang2, Shuangshuang Liu3,4
1Beijing Friendship Hospital, Capital Medical University, Beijing, China.
PloS one
|September 24, 2025
概括
工业机器人通过增强人力资本和创新来提高制造业的总要素生产率 (TFP). 这种积极效应在高生产率,国有和高科技企业中更为明显,推动了数字化转型.
科学领域:
- 制造业 制造业 制造业 制造业
- 数字化转型 数字化转型
- 机器人技术 机器人技术 机器人技术
背景情况:
- 全球竞争力和技术进步需要制造业转型.
- 工业机器人是将数字技术整合到制造业中的关键.
- 工业机器人对总因素生产率 (TFP) 的影响是学术调查的一个重要领域.
研究的目的:
- 检查工业机器人应用对制造企业中TFP的影响.
- 调查工业机器人影响TFP的潜在机制.
- 分析这种影响在不同类型的企业中的异质性.
主要方法:
- 利用了中国A股上市制造业企业 (2007-2022) 的微面板数据.
- 采用计量经济学分析来评估工业机器人采用和TFP之间的关系.
- 进行了机制测试和异质性分析.
主要成果:
- 工业机器人应用证明了对TFP的积极和持续影响.
- 通过显示增加的人力资本,证实了"人才聚合效应".
- 通过增强企业创新能力,验证了"创新效应".
- 对于高劳动生产率,国有企业和高科技企业来说,积极影响更为显著.
结论:
- 工业机器人是制造业中TFP增强的关键驱动力.
- 人才聚合和创新效应是TFP增长的关键机制.
- 有针对性的采用策略可以最大限度地提高工业机器人对各种企业的好处.
- 研究结果为追求数字制造转型的新兴经济体提供了实际见解.
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