What About Relationships between Green Innovation and Sustainable Development? A Bibliometric Analysis Review

Bianca Tiffani S, Melinda Malau
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引用次数: 1

Abstract

This research analyzed the relationship between green innovation and sustainable development. The method used in this research is bibliometric. The bibliometric analysis conveys the journal's authors, provides past, present, and future capabilities of this particular theme, and serves as a goal and guide for current researchers to understand the themes of green innovation and sustainable development. The research aims to empirically capture the intellectual form, capacity, and direction of knowledge development. Achieve the goal using the VOSViewer software and the Web of Science (WoS) scientific database. VOSviewer software was adopted as a bibliometric analysis tool to visualize author, country, journal and keyword networks. The analysis conducted on 4 November 2022 cites 2043 documents from 2015 to 2022. The results prove that the number of green and sustainable innovation publications has grown relevantly in the last eight years. Ranked first in China as the most productive country in green innovation and sustainable development research and ranked second in the USA with the involvement of lead authors and research institutes. Keyword analysis shows that studies on green innovation and sustainable development in the last eight years have focused on environmental, economic, and technological themes. The bibliometric analysis provides data relevant to the main themes studied regarding green innovation and sustainable development.
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绿色创新与可持续发展的关系?文献计量分析综述
本研究分析了绿色创新与可持续发展的关系。本研究采用文献计量学方法。文献计量分析传达了该期刊的作者,提供了这一特定主题的过去、现在和未来的能力,并为当前研究人员理解绿色创新和可持续发展的主题提供了目标和指导。本研究旨在实证地把握知识发展的智力形态、能力和方向。利用VOSViewer软件和Web of Science (WoS)科学数据库实现这一目标。采用VOSviewer软件作为文献计量分析工具,可视化作者、国家、期刊和关键词网络。该分析于2022年11月4日进行,引用了2015年至2022年的2043份文件。结果表明,在过去的八年中,绿色和可持续创新出版物的数量有了相应的增长。在绿色创新和可持续发展研究方面在中国排名第一,在主要作者和研究机构参与方面在美国排名第二。关键词分析表明,近8年来关于绿色创新与可持续发展的研究主要集中在环境、经济和技术三个主题上。文献计量分析提供了与绿色创新和可持续发展研究主题相关的数据。
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