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Exploring the Climate Change-AI Nexus: A Bibliometric and Scientometric Study

Author

Listed:
  • Chițu Florentina

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Mecu Andra-Nicoleta

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Marin Georgiana-Ionela

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

The intersection between artificial intelligence (AI) and climate change mitigation has received increased attention as a result of pressing global environmental concerns and technological advancements. This paper will cover key scientific literature about the development and implementation of AI in tackling climate change challenge. Methodologically, bibliometric and scientometric analyses, including cooccurrence and co-citation analysis, were employed to systematically examine research trends and patterns. The major research question focuses on tracing the evolution of AI research in relation to climate change, investigating important drivers of interest and identifying influential works and research groups. The data find a considerable increase in AI and climate change papers after 2015, demonstrating a growing appreciation for AI’s potential to provide novel solutions. Implications of this trend include the use of AI technologies for environmental monitoring, prediction, and policy makers. Moreover, interdisciplinary collaborations on AI and climate change between experts from various fields shown the importance of global climate issues. This paper provides a new idea for the study on AI in climate change, highlighting opportunities for further exploration and collaboration.

Suggested Citation

  • Chițu Florentina & Mecu Andra-Nicoleta & Marin Georgiana-Ionela, 2024. "Exploring the Climate Change-AI Nexus: A Bibliometric and Scientometric Study," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 1658-1670.
    • Handle: RePEc:vrs:poicbe:v:18:y:2024:i:1:p:1658-1670:n:1021
    DOI: 10.2478/picbe-2024-0138
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    References listed on IDEAS

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    1. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
    2. Ping Chen & Jiawei Gao & Zheng Ji & Han Liang & Yu Peng, 2022. "Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities," Energies, MDPI, vol. 15(15), pages 1-16, August.
    3. Elena Simina Lakatos & Geng Yong & Andrea Szilagyi & Dan Sorin Clinci & Lucian Georgescu & Catalina Iticescu & Lucian-Ionel Cioca, 2021. "Conceptualizing Core Aspects on Circular Economy in Cities," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    4. Kinga Stecuła & Radosław Wolniak & Wieslaw Wes Grebski, 2023. "AI-Driven Urban Energy Solutions—From Individuals to Society: A Review," Energies, MDPI, vol. 16(24), pages 1-34, December.
    5. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
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