Leveraging the power of artificial intelligence toward the energy transition: The key role of the digital economy

被引:10
|
作者
Lee, Chi-Chuan [1 ]
Fang, Yuzhu [1 ]
Quan, Shiyun [2 ]
Li, Xinghao [3 ]
机构
[1] Southwestern Univ Finance & Econ, Sch Publ Adm, Chengdu, Peoples R China
[2] Beihang Univ, Sch Humanities & Social Sci, Beijing, Peoples R China
[3] Southwestern Univ Finance & Econ, Res Inst Digital Econ & Interdisciplinary Sci, 555 Liutai Ave, Chengdu, Peoples R China
关键词
Artificial intelligence; Energy transition; Digital economy; Carbon neutrality; National heterogeneity; RENEWABLE ENERGY; INFORMATION; FUTURE; SOLAR;
D O I
10.1016/j.eneco.2024.107654
中图分类号
F [经济];
学科分类号
02 ;
摘要
In recent years, the rapid development of artificial intelligence (AI) has sparked academic interest in its economic and environmental impacts. Against the backdrop of global warming, this study evaluates the impact of AI on energy transition and constructs an evaluation index system to measure the level of the digital economy, analyzing its role in AI and energy transition. The study first finds that AI positively affects energy transition, whereby as AI advances, the level of energy transition improves. Second, the digital economy plays a positive role in reinforcing the impact of AI on the energy transition. Finally, high-income and middle- and low-income countries exhibit different performances in the energy transition promoted by AI, with a more pronounced impact in resource-dependent countries. These findings offer specific insights for policymakers aiming to advance the energy transition, address regional energy disparities, and achieve low-carbon development.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] How does the digital economy affect the green transition: The role of industrial intelligence and E-commerce
    Huang, Chenchen
    Du, Anna Min
    Lin, Boqiang
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2025, 73
  • [32] The Propulsion Path of Synergy and Linkage Based on Artificial Intelligence and Digital Economy
    Wu, Yan
    Zhu, Yuqin
    Zhao, Jingfeng
    FRONTIERS IN PSYCHOLOGY, 2022, 13
  • [33] Integrating artificial intelligence in energy transition: A comprehensive review
    Wang, Qiang
    Li, Yuanfan
    Li, Rongrong
    ENERGY STRATEGY REVIEWS, 2025, 57
  • [34] Role of artificial intelligence in digital pathology for gynecological cancers
    Wang, Ya-Li
    Gao, Song
    Xiao, Qian
    Li, Chen
    Grzegorzek, Marcin
    Zhang, Ying-Ying
    Li, Xiao-Han
    Kang, Ye
    Liu, Fang-Hua
    Huang, Dong-Hui
    Gong, Ting-Ting
    Wu, Qi-Jun
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2024, 24 : 205 - 212
  • [35] Artificial Intelligence-Driven Multi-Energy Optimization: Promoting Green Transition of Rural Energy Planning and Sustainable Energy Economy
    Peng, Xiaoyan
    Guan, Xin
    Zeng, Yanzhao
    Zhang, Jiali
    SUSTAINABILITY, 2024, 16 (10)
  • [36] Digital Trade and Artificial Intelligence: Role of Intellectual Property
    Singh, Vandana
    Sethi, Mehak Rai
    NTUT JOURNAL OF INTELLECTUAL PROPERTY LAW AND MANAGEMENT, 2021, 10 (01): : 45 - 66
  • [37] Key technologies of artificial intelligence in electric power customer service
    Wu, Xingping
    Liu, Xusheng
    An, Yeteng
    GLOBAL ENERGY INTERCONNECTION-CHINA, 2021, 4 (06): : 631 - 640
  • [38] Contributions of artificial intelligence for circular economy transition leading toward sustainability: an explorative study in agriculture and food industries of Pakistan
    Ali, Zain Anwar
    Zain, Mahreen
    Pathan, M. Salman
    Mooney, Peter
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 26 (08) : 19131 - 19175
  • [39] Key technologies of artificial intelligence in electric power customer service
    Xingping Wu
    Xusheng Liu
    Yeteng An
    GlobalEnergyInterconnection, 2021, 4 (06) : 631 - 640
  • [40] Knowledge Sharing Key Issue for Digital Technology and Artificial Intelligence Adoption
    Binsaeed, Rima H.
    Yousaf, Zahid
    Grigorescu, Adriana
    Samoila, Alina
    Chitescu, Razvan Ion
    Nassani, Abdelmohsen A.
    SYSTEMS, 2023, 11 (07):