Smart City Gnosys
Smart city article details
| Title | How Does Artificial Intelligence Affect Manufacturing Firms' Energy Intensity? |
|---|---|
| ID_Doc | 29377 |
| Authors | Li H.; Lu Z.; Zhang Z.; Tanasescu C. |
| Year | 2025 |
| Published | Energy Economics, 141 |
| DOI | http://dx.doi.org/10.1016/j.eneco.2024.108109 |
| Abstract | 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. © 2024 The Authors |
| Author Keywords | Artificial intelligence (AI); Energy efficiency; Energy intensity (EI); Production efficiency |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
10456  | 0.896 | Yan X.; Sun T. | Artificial Intelligence Development And Carbon Emission Intensity: Evidence From Industrial Robot Application | Sustainability (Switzerland), 17, 9 (2025) |
| 55681 | 0.873 | Li, XY; Wang, Q; Tang, Y | The Impact Of Artificial Intelligence Development On Urban Energy Efficiency-Based On The Perspective Of Smart City Policy | SUSTAINABILITY, 16, 8 (2024) |
| 30456 | 0.87 | Dong M.; Wang G.; Han X. | Impacts Of Artificial Intelligence On Carbon Emissions In China: In Terms Of Artificial Intelligence Type And Regional Differences | Sustainable Cities and Society, 113 (2024) |
| 17336 | 0.863 | Al-Jumah A.; Kindy I.; Rawahi M.; Quraini A. | Data Science As An Enabler: Integrating Business Intelligence (Bi) Tools With Artificial Intelligence (Ai) For An Ever Evolving Industry | Society of Petroleum Engineers - SPE Conference at Oman Petroleum and Energy Show, OPES 2024 (2024) |