Decoding the Developmental Trajectory of Energy Trading in Power Markets through Bibliometric and Visual Analytics

Yu Sun, Zhiqiang Ma, Xiaomeng Chi, Jiaqi Duan, Mingxing Li () and Asad Ullah Khan ()
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Yu Sun: School of Finance and Economics, Zhenjiang College, Zhenjiang 212028, China
Zhiqiang Ma: School of Management, Jiangsu University, Zhenjiang 212013, China
Xiaomeng Chi: Jiangsu University Cranfield Tech Futures Graduate Institute, Zhenjiang 212013, China
Jiaqi Duan: School of Health, Tianhua College, Shanghai Normal University, Shanghai 201815, China
Mingxing Li: School of Management, Jiangsu University, Zhenjiang 212013, China
Asad Ullah Khan: School of Management, Jiangsu University, Zhenjiang 212013, China

Energies, 2024, vol. 17, issue 15, 1-23

Abstract: This research leverages bibliometric methodologies, enhanced by the visual analytics capabilities of CiteSpace, to meticulously examine the evolution and current trends in energy trading within power markets, analyzing 642 scholarly articles from the Web of Science Core Collection spanning from 1996 to 2023. The study aims to illuminate the prevailing research landscape, growth patterns, and future directions in energy trading dynamics. Key findings include: (1) A noticeable escalation in the volume of publications, especially from 2021 to 2023, indicating a burgeoning interest and rapid evolution in this research area; (2) The author and institutional collaboration networks are in a nascent stage, with a predominantly China-centric international collaboration pattern, including significant partnerships with the United States, Australia, and the United Kingdom; (3) The focal points of research are centered around themes such as “energy management”, “demand-side innovation”, “decentralized energy trading”, and “strategic optimization”, covering areas such as intelligent grid technologies, energy market dynamics, and sustainable energy solutions. The study recommends enhancing collaborative networks, fusing technological and strategic dimensions in research, increasing focus and funding for emerging technologies, and promoting wider international and cross-disciplinary collaborations to enrich the understanding of energy trading dynamics in the context of electricity markets.

Keywords: energy trading dynamics; power market analysis; bibliometric study; CiteSpace visualization; sustainable energy strategies; international energy trade studies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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