How does artificial intelligence affect manufacturing firms' energy intensity?

被引：1

作者：

Li, Hongyu ^{[1
]}

Lu, Zhiqiang ^{[1
]}

Zhang, Zhengping ^{[2
]}

Tanasescu, Cristina ^{[3
]}

机构：

[1] Guangdong Univ Technol, Sch Management, Guangzhou 510520, Peoples R China

[2] Beijing Technol & Business Univ, Sch Econ, Beijing 100048, Peoples R China

[3] Lucian Blaga Univ Sibiu, Fac Econ Sci, Sibiu 550024, Romania

来源：

ENERGY ECONOMICS | 2025年 / 141卷

关键词：

Artificial intelligence (AI); Energy intensity (EI); Production efficiency; Energy efficiency; ELECTRICITY CONSUMPTION; COMMUNICATION TECHNOLOGY; ECONOMIC-GROWTH; OECD COUNTRIES; CO2; EMISSIONS; INFORMATION; EFFICIENCY;

D O I：

10.1016/j.eneco.2024.108109

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper investigates the effects of artificial intelligence (AI) on manufacturing firms' energy intensity (EI) by examining the substitutive role of AI in factor inputs. We assess how AI advancements and the assimilation can improve productivity and enhance energy efficiency, potentially reducing EI. Using a dataset of Chinese listed manufacturing companies from 2006 to 2020, this study quantifies AI adoption through text analysis of firms' annual reports. The findings indicate that AI applications can significantly improve production efficiency and energy efficiency, thereby significantly diminishing firms' EI. This trend is more pronounced for private sector companies and for firms in cities not included in the smart city pilot project. The study concludes with policy recommendations to advance energy conservation and emissions reduction.

引用

页数：9

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