School of Economics & Management, Northwest University, Xi'an 710127, China.
National and Local Joint Engineering Research Center of Carbon Capture and Storage Technology, Xi'an 710069, China.
Int J Environ Res Public Health. 2022 Nov 23;19(23):15538. doi: 10.3390/ijerph192315538.
Driven by the information technology revolution, using artificial intelligence to promote intelligent manufacturing while achieving carbon emissions reduction is increasingly the focus of international attention. Given this, based on the fact that China's industrial manufacturing is more intelligent, this paper uses industrial sector data and robot data from 2000 to 2017 to examine the impact of intelligent manufacturing on industrial carbon dioxide emissions and to discuss its internal mechanism. The research found that intelligent manufacturing significantly inhibits carbon dioxide emissions in the industrial sectors. The emission reduction effect is more obvious in industries with higher carbon emissions and intelligence. The mechanism test shows that intelligent manufacturing mainly achieves industrial emission reduction by reducing fossil energy consumption in the production process and improving energy use efficiency. The research findings of this paper provide favorable evidence for using new technologies, such as artificial intelligence, to achieve carbon emissions reduction, and validate the importance of intelligent manufacturing in tackling climate change in the future. It provides an essential reference for developing countries to use artificial intelligence for their carbon emissions reduction goals.
在信息技术革命的推动下，利用人工智能促进智能制造同时实现减排，正日益成为国际关注的焦点。鉴此，基于中国工业制造业智能化程度更高这一事实，本文利用 2000 年至 2017 年工业部门数据和机器人数据，考察了智能制造对工业二氧化碳排放的影响，并探讨了其内在机制。研究发现，智能制造显著抑制了工业部门的二氧化碳排放。在碳排放和智能化程度较高的行业，减排效果更为明显。机制检验表明，智能制造主要通过减少生产过程中的化石能源消耗和提高能源利用效率来实现工业减排。本文的研究结果为利用人工智能等新技术实现减排提供了有利证据，验证了智能制造在未来应对气候变化方面的重要性。它为发展中国家利用人工智能实现减排目标提供了重要参考。
