Discovering research trends and opportunities of green finance and energy policy: A data-driven scientometric analysis

被引:113
|
作者
Wang, Moran [1 ]
Li, Xuerong [2 ]
Wang, Shouyang [3 ]
机构
[1] Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
[3] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
Green finance policy; Green bonds; Data-driven scientometric analysis; co2; emissions; Fintech; INSTITUTIONAL PRESSURES; INVESTMENT; SUBSIDY; BOND; DETERMINANTS; PERFORMANCE; INNOVATION; REDUCTION; DECISIONS; SCHEME;
D O I
10.1016/j.enpol.2021.112295
中图分类号
F [经济];
学科分类号
02 ;
摘要
With the promotion of the concept of green development on a global scale, various industries are pursuing high profit returns while also considering the harmony between human and nature. Green finance is put forward under this background. In this paper, 815 green finance and energy policy literatures are retrieved from the Web of Science database. We first carry out descriptive statistical analysis, including the overall growth, publication sources, research regions and high-level scientific research institutions. After that, we conduct clusters analysis to find the research hotspots in recent years and point out the research trends in the future. Important journals, scholars, research findings and future research focuses of green finance and energy policy are identified in this paper. The purpose of this paper is to promote the research and discussion of green finance, and to conduct a clear policy-related discussion on its impact on the energy field. Four possible green finance-related energy policies are also summarized. This research facilitates a systematic and comprehensive understanding of green finance and energy policy research, and offers that green bonds, government subsidies and carbon dioxide emissions are the research opportunities in the future, and further research can be done by combining Fintech, big data and blockchain.
引用
收藏
页数:12
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