Bibliometric analysis for economy in COVID-19 pandemic

• Published in: Heliyon Vol. 8; no. 9; p. e10757
• Main Authors: Zhong, Meihui, Lin, Mingwei
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.09.2022; The Author(s). Published by Elsevier Ltd; Elsevier
• Subjects: Bibliometric analysis; computer software; Content analysis; COVID-19; COVID-19 infection; economic development; Economy; quantitative analysis; Review; social networks; COVID-19; Economy; Bibliometric analysis; Content analysis
• ISSN: 2405-8440; 2405-8440
• DOI: 10.1016/j.heliyon.2022.e10757

Since the outbreak of COVID-19, various fields have been damaged to varying degrees, especially in the economic field. According to a comprehensive study of bibliometrics and content analysis, this paper aims at summarizing studies related to the development of the economic field during the COVID-19 epidemic. We search in Web of Science Core Collection using the subjects such as “economics”, “economy”, “economic”, “financial”, and then 2274 related documents are collected, which are published from 2020 to 2022. First, this paper uses the mixed qualitative and quantitative analysis methods to analyze the publication status of the countries, institutions, and authors, respectively, and conducts the document co-citation analysis by CiteSpace software. The results showed that the most popular journal is Sustainability, and the most productive research institutions, countries, and authors are primarily located in North American and European countries. Then, it makes an in-depth study of the cooperative network. With the support of Gephi software, this paper employs the social network analysis method to analyze the situation of the country/region cooperation and institutional cooperation. Finally, the content analysis of the related studies is presented to further explore the current challenges. On this basis, this paper analyzes the economic development in the post-epidemic era and draws some conclusions, which provide some references for scholars interested in this field. COVID-19; Economy; Bibliometric Analysis; Content analysis.