Is there gender bias in research grant success in social sciences?: Hong Kong as a case study

Abstract Despite growing attention to gender disparities in higher education, women in academia still receive less research funding and recognition. Previous research on this gender gap has focused on biomedical, science, technology, engineering, and mathematics in the West—relatively silent on soci...

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Bibliographic Details
Main Authors: Paul Siu Fai Yip, Yunyu Xiao, Clifford Long Hin Wong, Terry Kit Fong Au
Format: Article
Language:English
Published: Springer Nature 2020-12-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-020-00656-y
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Summary:Abstract Despite growing attention to gender disparities in higher education, women in academia still receive less research funding and recognition. Previous research on this gender gap has focused on biomedical, science, technology, engineering, and mathematics in the West—relatively silent on social sciences and Asia. This study examined how well staff gender, submission rate, success rate, and amount per award could predict annual changes in the number and amount of grant funding for academic years 2015/2016–2020/2021 in the Faculty of Social Science at the University of Hong Kong, a leading institution in social sciences in Asia. Decomposition analysis revealed that, compared to men, women had higher submission rates, which significantly contributed to an increase in the number of awards for the University in recent years in two major funding mechanisms (namely, General Research Fund and Early Career Scheme), especially from 2019/2020 to 2020/2021. Women also outperformed men in the success rate in the Early Career Scheme (i.e., within the first three years of faculty appointment). Both submission rate and success rate contributed to changes in award number and the total amount for the University over time. Overall, women had a higher submission rate, successful rate, and amount per award than their male counterparts. We have identified good practices and distinctive contextual factors in Hong Kong that likely contribute to the lack of gender bias for research grant application results in Social Sciences.
ISSN:2662-9992