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An Empirical Study of Green Finance Research Through Bibliometrics

An Empirical Study of Green Finance Research Through Bibliometrics
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Author(s): Feng Hu (Guangdong University of Technology, China) and Haibo Wei (Guangdong Water and Power Survey and Design Institute, China)
Copyright: 2019
Pages: 23
Source title: Green Finance for Sustainable Global Growth
Source Author(s)/Editor(s): Sang-Bing Tsai (University of Electronic Science and Technology of China Zhongshan Institute, China & Civil Aviation University of China, China & WUYI University, China), Chung-Hua Shen (Shih-Chien University, Taiwan), Hua Song (Renmin University of China, China) and Baozhuang Niu (South China University of Technology, China)
DOI: 10.4018/978-1-5225-7808-6.ch004

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Abstract

Green finance issues have triggered the increasing research enthusiasm of researchers. With the rapid growing of publications related to green finance, it is difficult for readers to deeply understand the intellectual structure, research hotspots, and trends. In addition, the dynamic nature of a research front poses challenges for the scientists, research policymakers, and many others to keep up with the rapid advances of the state of the art in science. Therefore, the authors conducted a bibliometric analysis from the Web of Science over the period of 1998–2017. Co-word analysis and co-citation analysis are employed to explore institution distribution, journal co-citation analysis, author co-citation analysis, document co-citation analysis, and keyword co-word analysis, particularly in high frequency items, intellectual turning points, burst points, and emerging trends. The results can be useful for institutions and researchers worldwide to understand the panorama of green finance research, find the potential research gaps, and focus on the future research trends.

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