首页|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

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

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

industrial intelligencecapacity utilization rateresource allocation efficiencyHuman capital factor inputenterprise export demand

徐斌、吕波

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南昌师范学院旅游与经济管理学院,南昌 330013

江西财经大学应用经济(数字经济)学院,南昌 330013

工业智能化 产能利用率 资源配置效率 人力资本要素投入 企业出口需求

国家社会科学基金重大项目江西省科技厅管理科学类项目国家自然科学基金地区项目

20&ZD06820232BAA1002471963016

2024

技术经济
中国技术经济学会

技术经济

CSTPCDCHSSCD北大核心
影响因子:0.896
ISSN:1002-980X
年,卷(期):2024.43(9)