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我国绿色创新研究的知识图谱可视化分析
引用本文:孙毛宁,周敏.我国绿色创新研究的知识图谱可视化分析[J].现代管理科学,2021(2).
作者姓名:孙毛宁  周敏
作者单位:上海工程技术大学管理学院;宜宾学院经济与管理学部
基金项目:教育部人文社科基金项目“价值网视角下我国制造业区域差异与升级路径研究”(项目编号:17YJC630234)。
摘    要:低碳经济背景下,绿色创新作为缓解经济增长过程中资源环境约束问题的重要举措,受到学术界广泛关注。以中国知网收录的绿色创新核心文献为样本,综合运用CiteSpace、SATI、Excel等计量可视化工具绘制知识图谱,对国内绿色创新研究领域的文献年代分布、发文作者、科研机构、关键词以及突现词等进行分析。分析结果表明:我国绿色创新研究大致经历了三个阶段,分别是探索期(1994—2009年)、初步发展期(2010—2015年)、繁荣期(2016—2019年);研究热点主要集中在基础理论与相关概念研究、影响因素与激励机制研究、效率测度与评价体系构建研究三个层面;未来的研究趋势则是朝着绿色金融、环境规制、绿色创新效率、绿色全要素生产率等方向发展。通过对现有文献进行梳理、总结,揭示当前研究进展及演变趋势,为后续开展相关研究提供参考。

关 键 词:绿色创新  知识图谱  CITESPACE  计量可视化

Visualization Analysis of Mapping Knowledge Domains of Green Innovation Research in China
Abstract:Under the background of low-carbon economy,green innovation around the protection of ecological environment has been widely concerned by academic circles.By combing and summarizing the existing literature,this paper reveals the current research progress and evolution trend,and provides reference for the follow-up related research.In this paper,the core documents of green innovation collected by CNKI are taken as samples,and measurement visualization tools such as CiteSpace,SATI and Excel are used to draw the mapping knowledge doamains.The age distribution,authors,research institutions,key words and emergent words in the field of green innovation research in China are analyzed.The results show that The research on green innovation in China has roughly experienced three stages,namely,exploration period(1994—2009),preliminary development period(2009—2015)and prosperity period(2016—2019).Bi Kexin,Yang Chaojun,Tian Hongna and others are the core authors in the field of green innovation research,and the School of Economics and Management of Harbin Engineering University is the most published institution in this field.Research focuses mainly on the basic theory and related concepts,influencing factors and incentive mechanism,and efficiency measurement and evaluation system construction.The future research trend is towards green finance,environmental regulation,green innovation efficiency and green total factor productivity.
Keywords:green innovation  mapping knowledge doamains  citeSpace V  quantitative visualization
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