工业智能化对企业产能利用率的影响研究——基于制造业上市公司的经验证据

Impact of Industrial Intelligence on Capacity Utilization of Enterprises:Empirical Evidence Based on Listed Manufacturing Companies

数字技术的快速发展缓解了制造业的生产压力。为了证明工业智能化能否解决企业的产能过剩问题,本文利用2011—2019年沪深A股上市的制造业企业数据,研究工业智能化对产能利用率的影响。研究结果表明,工业智能化可以显著提高企业的产能利用率,通过利用“WinGo相似词数据库”完善工业智能化指标衡量范围,依然证实这一结论。工业智能化可以通过提高资源配置效率、增加人力资本要素的投入和增加企业出口需求三个机制渠道来促进企业的产能利用率的提升,在非国有企业、西部地区、非高新技术企业和技术密集型企业中影响更大。

The rapid development of digital technology has eased the pressure on manufacturing.In order to prove that industrial intelligence can solve the problem of excess capacity of enterprises,the data of manufacturing enterprises listed on Shanghai and Shenzhen A-shares from 2011 to 2019 were used to study the impact of industrial intelligence on capacity utilization.The research results show that industrial intelligence can significantly improve the capacity utilization rate of enterprises,and the impact of industrial intelligence on capacity utilization of enterprises is still confirmed by using the“WinGo similar word database”to improve the measurement range of industrial intelligence indicators.Industrial intelligence can promote the improvement of the capacity utilization rate of enterprises by improving the efficiency of resource allocation,increasing the input of human capital elements and increasing the export demand of enterprises,and has a greater impact on non-state-owned enterprises,western regions,non-high-tech enterprises and technology-intensive enterprises.