Does artificial intelligence reduce corporate energy consumption? New evidence from China

被引:0
|
作者
Fu, Yunyun [1 ]
Shen, Yongchang [2 ]
Song, Malin [3 ]
Wang, Weiyu [4 ]
机构
[1] Chuzhou Univ, Sch Math & Finance, Chuzhou 239000, Peoples R China
[2] Anhui Jianzhu Univ, Sch Econ & Management, Hefei 230022, Peoples R China
[3] Lebanese Amer Univ, Adnan Kassar Sch Business, Beirut 11020, Lebanon
[4] Univ Lisbon, ISEG Lisbon Sch Econ & Management, P-1200781 Lisbon, Portugal
基金
中国国家自然科学基金;
关键词
Artificial intelligence; Energy consumption; Technological innovation; Digital Transformation; ECONOMIC-GROWTH; DIGITAL TRANSFORMATION; EMPIRICAL-ANALYSIS; RENEWABLE ENERGY; WORK HUMAN; TECHNOLOGY; EMISSIONS; INNOVATION; EFFICIENCY; INTENSITY;
D O I
10.1016/j.eap.2024.07.005
中图分类号
F [经济];
学科分类号
02 ;
摘要
Artificial intelligence is playing a significant role in addressing the energy crisis. This study selected data from manufacturing companies listed on China 's A-share market from 2011 to 2022 and calculated the total energy consumption for the first time. The data include the usage of coal, natural gas, gasoline, diesel and water consumption, electricity usage, and centralized heating. The data were then matched and merged with robot usage data from the International Federation of Robotics to empirically study the impact and mechanism of artificial intelligence on energy consumption levels. Our findings reveal that energy consumption decreases by 0.20 % with a oneunit increase in artificial intelligence applications by a corporation, indicating artificial intelligence can significantly reduce energy consumption. The mechanisms by which artificial intelligence affects energy consumption include technological innovation and digital transformation. Additionally, a heterogeneity analysis revealed that applying artificial intelligence in state-owned enterprises, high-tech companies, and non-heavy-pollution industries can further reduce energy consumption. Our study also provides important practical implications for formulating and optimizing global energy policies to achieve sustainable development goals.
引用
收藏
页码:548 / 561
页数:14
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