{"title":"An Empirical Study of Green Finance Research Through Bibliometrics","authors":"F. Hu, Haibo Wei","doi":"10.4018/978-1-5225-7808-6.CH004","DOIUrl":null,"url":null,"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.","PeriodicalId":127704,"journal":{"name":"Green Finance for Sustainable Global Growth","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Green Finance for Sustainable Global Growth","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-5225-7808-6.CH004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
绿色金融问题引发了研究者日益高涨的研究热情。随着绿色金融相关出版物的快速增长,读者很难深入了解其知识结构、研究热点和发展趋势。此外,研究前沿的动态特性给科学家、研究政策制定者和许多其他人带来了挑战,他们要跟上科学技术的快速发展。因此,作者对1998-2017年期间的Web of Science进行了文献计量分析。利用共词分析和共被引分析,探索机构分布、期刊共被引分析、作者共被引分析、文献共被引分析和关键词共词分析,特别是高频项目、智力转折点、爆发点和新兴趋势。研究结果有助于全球机构和研究人员了解绿色金融研究的全景,发现潜在的研究空白,并关注未来的研究趋势。