Discovering research trends and opportunities of green finance and energy policy: A data-driven scientometric analysis
Wang, Moran3; Li, Xuerong2; Wang, Shouyang1
刊名ENERGY POLICY
2021-07-01
卷号154页码:12
关键词Green finance policy Green bonds Data-driven scientometric analysis co2 emissions Fintech
ISSN号0301-4215
DOI10.1016/j.enpol.2021.112295
英文摘要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.
资助项目National Natural Science Foundation of China[71988101]
WOS研究方向Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000648653800015
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/58635]  
专题中国科学院数学与系统科学研究院
通讯作者Li, Xuerong
作者单位1.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China
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Wang, Moran,Li, Xuerong,Wang, Shouyang. Discovering research trends and opportunities of green finance and energy policy: A data-driven scientometric analysis[J]. ENERGY POLICY,2021,154:12.
APA Wang, Moran,Li, Xuerong,&Wang, Shouyang.(2021).Discovering research trends and opportunities of green finance and energy policy: A data-driven scientometric analysis.ENERGY POLICY,154,12.
MLA Wang, Moran,et al."Discovering research trends and opportunities of green finance and energy policy: A data-driven scientometric analysis".ENERGY POLICY 154(2021):12.
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