Trends and features of embodied flows associated with international trade based on bibliometric analysis

Xu Tian, Yong Geng*, Joseph Sarkis, Shaozhuo Zhong

*Corresponding author for this work

Research output: Contribution to journalReview ArticleScientificpeer-review

27 Citations (Scopus)

Abstract

Trade plays an important role in redistributing resources and also brings significant environmental impacts to involved countries. This relatively complex research domain of international trade and environmental burden shifts is informed through study of embodied environmental flows of products. Research trends to identify features of international trade embodied flows between 1997 and 2016 are determined through a bibliometric study. Research contribution of countries, authors, institutions and journals are described. Co-citation and network analyses are completed. Results show that there has been significant research interest increase on this topic. Given the interdisciplinary and global nature of this topic, increases in countries, author, and institutional collaborations has occurred. USA, China, the Netherlands, the United Kingdom and Norway were the top 5 countries with high academic influence, and country as USA and institution as Chinese Academy of Sciences has the largest number of collaborations, respectively. Embodied flows such as carbon emission and water are popular ones associated with international trade in the given period, and the most popular methodological tool is Input/Output Analysis. In addition, hotspots which extracted from keywords are analyzed, additional avenues of research are also discussed in this study.

Original languageEnglish
Peer-reviewed scientific journalResources, Conservation and Recycling
Volume131
Issue numberApril
Pages (from-to)148-157
Number of pages10
ISSN0921-3449
DOIs
Publication statusPublished - 01.04.2018
MoE publication typeA2 Review article in a scientific journal

Keywords

  • 512 Business and Management
  • Embodied flows
  • International trade
  • Bibliometric analysis
  • Complex network analysis

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