ArticlePloS one2024
The impact of multiple discrimination on labor misallocation of China: Based on fsQCA method.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Educational attainment and subjective well-being among Chinese residents: the mediating role of language proficiency and the moderating role of the Hukou system.BMC psychology · 2026Article
- Negotiating gender and creative work in Shanghai's music industry: female creative workers' career choices and development.Frontiers in sociology · 2026Article
- Perceived age discrimination and life satisfaction among older adults in China: mediating roles of leisure and social satisfaction.Frontiers in psychology · 2026Article
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3 authors.
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Abstract
Discrimination in the labor market hinders efficient labor allocation, impeding socio-economic health. With the rapid population aging in China, addressing multifaceted discrimination to enhance labor allocation efficiency emerges as a crucial area of research. To explore the relationship between five types of discrimination (age, gender, hukou, educational background, and occupation) and labor misallocation, this paper based on intersectionality theory, employs the fuzzy-set Qualitative Comparative Analysis (fsQCA) method to conduct a configurational analysis of data from China. The research findings indicate that none of the five forms of discrimination can be deemed a necessary condition for achieving high-level labor misallocation. The study identifies five distinct pathways of multiple discrimination to form high-level labor misallocation, which can be classified into four interaction modes: age-hukou, gender-hukou, gender-occupation, and age-gender-educational background. Meanwhile, there are four configuration paths for the absence of labor misallocation. This study reveals the intricate mechanisms by which multiple forms of discrimination contribute to labor misallocation in China's labor market, and provides valuable insights for addressing employment discrimination and improving the efficiency of labor allocation.
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