Way to accomplish low carbon development transformation: A bibliometric analysis during 1995–2014

Linyuan Wang, Lin Zhao, Guozhu Mao, Jian Zuo and Huibin Du

Renewable and Sustainable Energy Reviews, 2017, vol. 68, issue P1, 57-69

Abstract: A bibliometric analysis of low carbon related publications is reported in this study in order to depict existing research activities and to identify future directions in this research field. These publications were retrieved from various databases such as: Science Citation Index (SCI), Social Science Citation Index (SSCI), Conference proceedings Citation Index-Science (CPCI-S) and Conference Proceedings Citation Index-Social Science & Humanities (CPCI-SSH). There is a notable growth associated with the body of knowledge on low carbon research. A total of 5445 records were obtained from these four major academic databases. Journal articles and proceedings papers are two frequently used document types representing 93.24% (5077 records) of the records and English is the dominant language with 5250 records (96.42%). The most productive subject is Energy & Fuels (1282 records) and the most productive journal is Energy Policy (313 records). China has largest number of publications related to low carbon. However, the USA accounts for the highest H-index (50). The Chinese Academic of Science is the organization with the most records (100 records) and the highest H-index (15). Four clusters are identified according to the analysis of co-occurrence keywords. Topics from Cluster (I) (central nodes as “climate change” and “renewable energy”) are still vital to the low carbon research. However, their relative popularities declined over the past decade compared to other topics. This indicates more diverse topics from Cluster (II) (central nodes as “low carbon economy”), Clusters (III) (central nodes focusing on “low carbon”, “energy” and “sustainability”), and Cluster (IV) (central node as “smart grid” interrelate with Cluster (I)) will be foci of future research endeavor in the coming decade.

Keywords: Low carbon; Bibliometric method; Classical R/S method; Mann–Kendall test; Social network analysis (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S136403211630435X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:68:y:2017:i:p1:p:57-69

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2016.08.021

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().