Beyond the bamboo ceiling: How ethnic collaborative networks facilitate Chinese inventors’ knowledge remittances

Previous research on the "bamboo ceiling" has focused on how ethnic homophily limits career advancement for East Asian immigrants. However, less is known about how their ethnic collaborative networks as U.S. Chinese immigrant inventors may facilitate knowledge remittances to their home countries. Drawing on social network theory, this study investigates two core network positions-centrality and structural holes (i.e., connecting otherwise unconnected co-inventors)-and their effects on knowledge remittances. Ethnic knowledge utilization serves as the mediator, while inventors' past performance acts as the moderator. We test the proposed relationships using a unique dataset of patents in the integrated circuit industry. Results show that ethnic knowledge utilization mediates the relationship between network positions (centrality and structural holes) and knowledge remittance. Moreover, past performance significantly moderates the mediating paths: high-performing inventors more effectively exploit structural holes to facilitate knowledge remittance. They also strengthen the curvilinear effect of centrality, accelerating knowledge remittance at optimal centrality levels but triggering an earlier decline beyond these thresholds due to stronger path dependency. These findings not only support policies for leveraging diaspora knowledge networks but also advance the literature by establishing a more nuanced, attribute-based micro-foundation for understanding high-skilled migration's impact on home-country development.

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Publication Details

Journal
PLoS ONE
Published
2026-04-17
DOI
https://doi.org/10.1371/journal.pone.0347548
Primary Topic
Migration, Ethnicity, and Economy
Type
article
Field-Weighted Citation Impact
0.00

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article

Beyond the bamboo ceiling: How ethnic collaborative networks facilitate Chinese inventors’ knowledge remittances

Chunhui Cao, Jia Liu, Hua Zhang
PLoS ONE
Migration, Ethnicity, and Economy
article

Beyond the bamboo ceiling: How ethnic collaborative networks facilitate Chinese inventors’ knowledge remittances

Chunhui Cao, Jia Liu, Hua Zhang
article en

Abstract

Previous research on the "bamboo ceiling" has focused on how ethnic homophily limits career advancement for East Asian immigrants. However, less is known about how their ethnic collaborative networks as U.S. Chinese immigrant inventors may facilitate knowledge remittances to their home countries. Drawing on social network theory, this study investigates two core network positions-centrality and structural holes (i.e., connecting otherwise unconnected co-inventors)-and their effects on knowledge remittances. Ethnic knowledge utilization serves as the mediator, while inventors' past performance acts as the moderator. We test the proposed relationships using a unique dataset of patents in the integrated circuit industry. Results show that ethnic knowledge utilization mediates the relationship between network positions (centrality and structural holes) and knowledge remittance. Moreover, past performance significantly moderates the mediating paths: high-performing inventors more effectively exploit structural holes to facilitate knowledge remittance. They also strengthen the curvilinear effect of centrality, accelerating knowledge remittance at optimal centrality levels but triggering an earlier decline beyond these thresholds due to stronger path dependency. These findings not only support policies for leveraging diaspora knowledge networks but also advance the literature by establishing a more nuanced, attribute-based micro-foundation for understanding high-skilled migration's impact on home-country development.

PLoS ONEVol. 21(4)
Shanghai International Studies University (CN), Huaqiao University (CN)
National Social Science Fund of China
Reduced inequalities
Openalex Percentile: Top 10%
Migration, Ethnicity, and Economy
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Beyond the bamboo ceiling: How ethnic collaborative networks facilitate Chinese inventors’ knowledge remittances — Chunhui Cao, Jia Liu, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS