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Visual Analysis of Research Status and Development Trend of Carbon Emissions in Paper Industry
Received:March 28, 2022  
DOI：10.11980/j.issn.0254-508X.2022.07.012
Key Words:paper industry  carbon emissions  CiteSpace  visualization analysis  bibliometric methods
Author NameAffiliationPostcode
HE Xudan* Institute of Resources and Environment， Beijing Academy of Science and Technology， Beijing， 100089 100089
LI Yongzhi China National Light Industry Council， Beijing， 100037 100037
JIA Xuehua Institute of Resources and Environment， Beijing Academy of Science and Technology， Beijing， 100089 100089
ZHANG Liang Institute of Resources and Environment， Beijing Academy of Science and Technology， Beijing， 100089 100089
WANG Huansong Institute of Resources and Environment， Beijing Academy of Science and Technology， Beijing， 100089 100089
CHENG Yanjun Institute of Resources and Environment， Beijing Academy of Science and Technology， Beijing， 100089 100089
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Abstract:Based on the “Web of Science Core Collection” database， the visualization software CiteSpace was used to visually sort and analyze the publishing institutions， publishing institutions， and publications related to carbon emissions in the paper industry from 1995 to 2022， including the authors， keywords， etc.， to explore the background characteristics， historical research topics and future research directions of carbon emissions research in the paper industry. The results showed that at present， the number of research papers on carbon emissions in the global paper industry was increasing， and China， United States， Sweden， and Finland were the core of scientific research strength， with the most published articles and the most active enthusiasm of international cooperation. The research hotspots could be mainly summarized as that climate impact and sustainable development， energy efficiency and carbon emissions treatment. The research context of carbon emissions in the paper industry was analyzed with theoretical framework and factors， gradually evolved into background research and data-oriented quantitative analysis.
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