The gig treadmill: Urban-rural exclusion and the overwork of China's couriers

This study investigates how spatially reproduced urban–rural exclusion within Chinese megacities drives structural overwork among migrant gig workers—and how targeted social-security access can dismantle these exclusionary dynamics. Employing a mixed-methods design—a large-scale survey of daily working hours and insurance coverage, over 40 in-depth interviews, and a choice-based conjoint experiment—we find that basic social insurance reduces weekly overwork by an average of 5.6 h, with commercial-insurance supplements yielding an additional 1.2 h of relief. Crucially, insurance preferences vary significantly by gender, health status, traffic-accident history, and contract formality, underscoring the need for subgroup-tailored benefit designs. Theoretically, we embed urban–rural exclusion within a spatial-justice framework, extending welfare-regime analyses by showing how territorially bounded eligibility criteria perpetuate “insider” versus “outsider” divisions inside city boundaries. Methodologically, our integration of survey and conjoint methods provides a replicable blueprint for measuring spatially contingent policy demands. Policy recommendations include mandating universal social-insurance enrollment with formal contracts, implementing portable benefit schemes, and requiring platforms to fund contributions directly. Our findings offer empirically grounded strategies for inclusive gig-economy labor protection, with broad relevance for rapidly urbanizing regions worldwide. • Uses a spatial-justice lens to show urban–rural exclusion inside cities drives gig workers’ overwork. • Employs a validated mixed-methods design to yield robust insights on insurance and labor supply. • Basic social insurance cuts weekly overwork by 5.6 hours, commercial add-ons reduce a further 1.2 hours. • Reveals preference heterogeneity by gender, health, and contract status. • Actionable blueprint helps planners dismantle exclusion and strengthen gig worker protections.

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Publication Details

Journal
Cities
Published
2025-08-18
DOI
https://doi.org/10.1016/j.cities.2025.106358
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
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article

The gig treadmill: Urban-rural exclusion and the overwork of China's couriers

Hao Dong, Donghao Liu, He Gao
Cities
Digital Economy and Work Transformation
article

The gig treadmill: Urban-rural exclusion and the overwork of China's couriers

Hao Dong, Donghao Liu, He Gao
article en

Abstract

This study investigates how spatially reproduced urban–rural exclusion within Chinese megacities drives structural overwork among migrant gig workers—and how targeted social-security access can dismantle these exclusionary dynamics. Employing a mixed-methods design—a large-scale survey of daily working hours and insurance coverage, over 40 in-depth interviews, and a choice-based conjoint experiment—we find that basic social insurance reduces weekly overwork by an average of 5.6 h, with commercial-insurance supplements yielding an additional 1.2 h of relief. Crucially, insurance preferences vary significantly by gender, health status, traffic-accident history, and contract formality, underscoring the need for subgroup-tailored benefit designs. Theoretically, we embed urban–rural exclusion within a spatial-justice framework, extending welfare-regime analyses by showing how territorially bounded eligibility criteria perpetuate “insider” versus “outsider” divisions inside city boundaries. Methodologically, our integration of survey and conjoint methods provides a replicable blueprint for measuring spatially contingent policy demands. Policy recommendations include mandating universal social-insurance enrollment with formal contracts, implementing portable benefit schemes, and requiring platforms to fund contributions directly. Our findings offer empirically grounded strategies for inclusive gig-economy labor protection, with broad relevance for rapidly urbanizing regions worldwide. • Uses a spatial-justice lens to show urban–rural exclusion inside cities drives gig workers’ overwork. • Employs a validated mixed-methods design to yield robust insights on insurance and labor supply. • Basic social insurance cuts weekly overwork by 5.6 hours, commercial add-ons reduce a further 1.2 hours. • Reveals preference heterogeneity by gender, health, and contract status. • Actionable blueprint helps planners dismantle exclusion and strengthen gig worker protections.

CitiesVol. 167
Technical University of Munich (DE), Tsinghua University (CN)
Reduced inequalities
Openalex Percentile: Top 72%
Digital Economy and Work Transformation
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