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关于双碳研究的科学计量学调查:揭示进展、关键领域和未来展望。

Scientometric investigations on dual carbon research: Revealing advancements, key areas, and future outlook.

作者信息

Chen Zhen, Shi Ying, Ding Rijia, Liu Jingye

机构信息

School of Management, China University of Mining and Technology (Beijing), Beijing, 100083, China.

出版信息

Heliyon. 2024 Oct 2;10(19):e38903. doi: 10.1016/j.heliyon.2024.e38903. eCollection 2024 Oct 15.

DOI:10.1016/j.heliyon.2024.e38903
PMID:39435053
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11492591/
Abstract

The dual carbon goal is a systematic project involving the entire society and has a leading and systematic role in the green and low-carbon development of China. In this study, we used the CiteSpace software to visualize and analyze 5809 documents from the core database of Web of Science from 1995 to 2023, covering four aspects: descriptive statistics, network collaboration, research hotspots, and thematic evolution analysis. The number of studies in the field of dual carbon is in an explosive growth stage and China and the Chinese Academy of Sciences have become the core country and institution for research, respectively, in this field. Major high-impact journals include Cleaner Production, Energy, Renewable and Sustainable Energy Review, Applied Energy, and Energy Policy. Relevant research has mainly focused on carbon neutralization, CO emissions, impact factors, energy, and emission reduction performance. Research hotspots primarily include carbon dioxide electrocatalytic reduction technology, sustainable energy transition strategies, and green financial policy tools. The government should further support for the research and development of carbon-neutral technologies, particularly for the industrialization and application of CO electrocatalytic reduction technology. Meanwhile, investment in renewable energy should be increased to optimize the energy structure and promote energy transition. In addition, green financial policy tools must be improved to promote the healthy development of the green financial market. The transparency and efficiency of the carbon trading market can be improved using digital technology and big data analysis, thus promoting the deep integration of the digital economy, with the goal of carbon neutrality.

摘要

双碳目标是一项涉及全社会的系统工程,在中国绿色低碳发展中具有引领性和系统性作用。在本研究中,我们使用CiteSpace软件对1995年至2023年来自Web of Science核心数据库的5809篇文献进行可视化分析,涵盖描述性统计、网络合作、研究热点和主题演化分析四个方面。双碳领域的研究数量正处于爆发式增长阶段,中国和中国科学院分别成为该领域的核心研究国家和机构。主要的高影响力期刊包括《清洁生产杂志》《能源》《可再生与可持续能源评论》《应用能源》和《能源政策》。相关研究主要集中在碳中和、CO排放、影响因素、能源和减排绩效等方面。研究热点主要包括二氧化碳电催化还原技术、可持续能源转型策略和绿色金融政策工具。政府应进一步支持碳中和技术的研发,特别是CO电催化还原技术的产业化和应用。同时,应增加对可再生能源的投资,优化能源结构,推动能源转型。此外,必须完善绿色金融政策工具,促进绿色金融市场的健康发展。利用数字技术和大数据分析可以提高碳交易市场的透明度和效率,从而推动数字经济与碳中和目标的深度融合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/e233c381d886/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/0d7e4e399a4a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/dd504fb3c196/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/e652074456b2/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/7e5911736fb6/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/6142beac432b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/2bacd5fa5571/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/8e9b53e10dba/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/24cf8fda122e/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/b5560bde30f2/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/6b6722aa89b2/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/e233c381d886/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/0d7e4e399a4a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/dd504fb3c196/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/e652074456b2/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/7e5911736fb6/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/6142beac432b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/2bacd5fa5571/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/8e9b53e10dba/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/24cf8fda122e/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/b5560bde30f2/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/6b6722aa89b2/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a1/11492591/e233c381d886/gr11.jpg

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