| 摘要: |
| 环境史研究在全球生态环境逐渐恶化、环境危机日益加剧的背景下,受到学界和社会越来越多的关注,已经成为我国学者重点研究的领域。借助知识可视化分析工具CiteSpace,对中国知网中1999—2017年刊发的421篇环境史研究文献进行量化分析,可以清晰直观地展示我国环境史研究的演进趋势,建构我国环境史研究的知识图谱。研究发现,19年来我国环境史研究经历了发展期、稳步增长期以及快速发展期。经过19年的发展,我国环境史研究取得了长足的发展,但仍存在研究较为薄弱的环节。未来环境史研究既要进一步加强环境史史料的收集和整理,推进环境史学科的发展,同时亦要推动学科交叉研究,拓展研究领域,加强学科建设,推动建立学术共同体。 |
| 关键词: 环境史 CiteSpace 知识图谱 可视化分析 |
| DOI：10.13216/j.cnki.upcjess.2020.01.0013 |
| 分类号:K928.6;X2 |
| 基金项目:江西省教育科学“十三五”规划项目(18YB237)；江西省高校人文社会科学重点研究基地项目(JD19075) |
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| Bibliometric and Mapping Knowledge Domain Analysis of the Research on Environmental History in China |
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ZHENG Xing
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(Social Systems Science Research Center,Jiujiang University,Jiujiang,Jiangxi 332005,China)
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| Abstract: |
| Under the background of the gradual deterioration of global ecological environment and the increasing environmental crisis, the study of environmental history has received more and more attention from academic circles and the real society and has become a key research area for Chinese scholars. With the knowledge visualization analysis tool CiteSpace, the quantitative analysis of 421 environmental history research literatures in HowNet can clearly and intuitively display the evolution trend of China 's environmental history research and construct the knowledge map of China 's environmental history research. From 1999 to 2017, China 's environmental history research has experienced a period of development, a steady growth period and a period of rapid development. The study finds that considerable progress has been made in China 's environmental history research in the nineteen years. However, there are still weak links. In future environmental history research, while further strengthening the collection and collation of historical materials of environmental history to promote the development of environmental history disciplines, we should promote cross-disciplinary research, expand research fields, strengthen discipline construction, and promote the establishment of academic communities. |
| Key words: environmental history CiteSpace knowledge map visualization analysis |
