人工智能能否降低企业能耗?来自中国的新证据

IF 7.9 2区 经济学 Q1 ECONOMICS
Yunyun FU , Yongchang SHEN , Malin SONG , Weiyu WANG
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引用次数: 0

摘要

人工智能在应对能源危机方面发挥着重要作用。本研究选取了 2011 年至 2022 年中国 A 股市场制造业上市公司的数据,首次计算了能源消耗总量。数据包括煤炭、天然气、汽油、柴油的使用量,以及水耗、电耗和集中供热。然后将这些数据与国际机器人联合会的机器人使用数据进行匹配和合并,实证研究人工智能对能源消耗水平的影响和机制。我们的研究结果表明,企业人工智能应用每增加一个单位,能耗就会减少0.20%,这表明人工智能可以显著降低能耗。人工智能影响能源消耗的机制包括技术创新和数字化转型。此外,异质性分析表明,在国有企业、高科技企业和非重污染行业应用人工智能可以进一步降低能耗。我们的研究还为制定和优化全球能源政策,实现可持续发展目标提供了重要的现实意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does artificial intelligence reduce corporate energy consumption? New evidence from China

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 one-unit 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.

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来源期刊
CiteScore
9.80
自引率
9.20%
发文量
231
审稿时长
93 days
期刊介绍: Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.
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