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Copious studies have outlined how pre-college academic performance, gender-related values, and STEM occupation aspirations contribute to female students’ underrepresentation in STEM majors in college; nevertheless, few examine from the organizational perspective and unpack how the increased supply of STEM quotas in higher education impact female students’ admission and completion. Drawing from an archival dataset on province-level admission quota by field of studies from 1985 to 2018, and individual-level data from the Chinese General Social Survey Database (2003, 2008, 2018, 2021), this study aims to use a hierarchical logistic regression model to explore the effects of higher education expansion on female student enrollment and attainment in STEM fields.