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中国低碳研究领域知识图谱:基于共词网络的计量研究 被引量:24

The Analysis of China's Low-carbon Research Knowledge Map: A Quantitative Study based on Co-word Network
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摘要 近年,在资源科学与经济管理等领域,低碳成为了人们普遍关注的热点话题,研究者以不同的视角在各个层面展开了广泛的探讨。然而,对于这一研究领域所取得的成果、主要的研究方向与核心问题,目前尚未有系统与深入的归纳,少量对某些具体研究方向的定性综述亦无法清晰呈现低碳研究领域的概貌,不利于人们对该领域研究成果的掌握与后续研究的进一步开展。鉴于此,本文利用共词网络分析方法,通过密度分析、中心度分析、成分分析、多维尺度分析等手段绘制知识图谱,清晰展现了低碳领域的研究现状与发展脉络。本文结论认为,低碳领域主要关心低碳经济、低碳城市、节能减排、可持续发展等七个具体方向,并且,低碳经济是最受关注的方向;众多研究分支凸显出低碳研究的跨学科特性与生命力;我国低碳领域的研究具有鲜明的时代特征;对低碳的争议与反思可能会形成该领域新的研究方向,并促使新一轮的低碳研究范式形成。希望本文基于共词网络的计量分析可以廓清我国低碳领域的研究概貌,并为我国低碳研究以及低碳实践提供有益启示。 In recent years, the low-carbon become a hot topic which caused widespread concern in resources science, economic management and other areas. The researchers conducted extensive discussions at many levels from different perspectives. However, the studies at present have not shown the in-depth induction for the achievements in this research field, the main research direction and the core issues, a small number of qualitative overviews of the specific research direction can not clearly present an overview of the low- carbon research areas, and this status can not be conducive to the mastery of the research results and the following study. In view of this, this study uses the co-word network analysis method, through the density analysis, centrality analysis, composition analysis, multidimensional scaling and other means of analysis to draw the knowledge map, clearly demonstrating the status quo and development context of low-carbon research field. The paper concludes that, this area mainly contains seven specific directions, such as the lowcarbon economy, low-carbon cities, energy conservation, and sustainable development, and the low-carbon economy draws the most attention among them. Numerous research branch highlights the interdisciplinary nature of the low-carbon research and its vitality. The domestic low-carbon research has the distinctive characteristics of the times. Controversy and reflection of the low-carbon may create a new research direction, and promote a new round of low-carbon research paradigm formation. The quantitative research based on coword network could clarify overview of domestic low-carbon research, and help the future research and practices.
出处 《中国人口·资源与环境》 CSSCI 北大核心 2013年第9期19-27,共9页 China Population,Resources and Environment
基金 国家自然科学基金青年项目"组织身份认同的差异性对员工双元绩效影响路径研究"(编号:71202064) 教育部人文社会科学研究青年基金项目"高管团队异质性对创新型企业成长性的影响:基于组织身份理论的实证研究"(编号:12YJC630192) 安徽大学引进人才科研配套经费(编号:32030002)
关键词 低碳 共词网络 知识图谱 计量研究 low-carbon co-word network knowledge map quantitative study
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