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Author:

Junwan, Liu (Junwan, Liu.) | Yinglu, Song (Yinglu, Song.) | Sai, Yang (Sai, Yang.) | Sugimoto, Cassidy R. (Sugimoto, Cassidy R..) | Lariviere, Vincent (Lariviere, Vincent.)

Indexed by:

EI Scopus

Abstract:

In order to analyse the gender disparities in scientific research output in the field of economics, this paper selected the Web of Science database as the source database. We collected and screened 257,642 articles written by 130,397 authors from 1933 to 2017 in the field of economics. In this study, we use mathematical statistics and bibliometrics indexes to quantitatively analyse the gap between male and female authors in many aspects, including the output and influence in different level of journals and institutions, the dynamic evolution of output and influence and cooperation modes with gender disparities. In addition, we have analysed the disparities in output and influence of male and female authors among different countries. The results show that male authors dominate in the economics research field according to their high output and influence. However, female authors also show advantage when it comes to the research influence. This study can provide an insight of gender different in economics research.

Keyword:

Economic analysis Economics Statistics

Author Community:

  • [ 1 ] [Junwan, Liu]School of Economics and Management, Beijing University of technology, Beijing, China
  • [ 2 ] [Yinglu, Song]School of Economics and Management, Beijing University of technology, Beijing, China
  • [ 3 ] [Sai, Yang]School of Economics and Management, Beijing University of technology, Beijing, China
  • [ 4 ] [Sugimoto, Cassidy R.]School of Informatics and Computing, Indiana University, Bloomington, United States
  • [ 5 ] [Lariviere, Vincent]École de bibliothéconomie et des sciences de l’information, Université de Montréal, Canada

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Source :

Year: 2019

Volume: 1

Page: 932-943

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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