Trading and Staying: How E-Commerce Shapes Rural Labor Supply and Retention in China

E-commerce is reshaping rural economies in developing countries, yet micro-level evidence on its early effects on rural labor supply and retention remains limited. This study examines these effects in China, distinguishing between platform e-commerce (e.g., Taobao) and social e-commerce (e.g., WeChat) to uncover heterogeneous effects across different models and demographic subgroups. We employ a propensity score matching difference-in-differences (PSM-DID) method using two-period panel data from 3234 rural residents, covering the critical period of rural e-commerce emergence and expansion in China from 2013 and 2017. Results show that different e-commerce models shape rural labor allocation along both temporal and spatial dimensions. Platform e-commerce significantly promotes localized labor participation, while social e-commerce offers flexible entry points for vulnerable populations such as child-bearing, left-behind women. These findings offer lessons for inclusive digital development in developing countries facing rural labor outflow and digital divides.

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Publication Details

Journal
Sustainability
Published
2026-04-16
DOI
https://doi.org/10.3390/su18083970
Primary Topic
ICT Impact and Policies
Type
article
Field-Weighted Citation Impact
0.00

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article

Trading and Staying: How E-Commerce Shapes Rural Labor Supply and Retention in China

Dongshi Chen, Xiaokang Li
Sustainability
ICT Impact and Policies
article

Trading and Staying: How E-Commerce Shapes Rural Labor Supply and Retention in China

Dongshi Chen, Xiaokang Li
article en

Abstract

E-commerce is reshaping rural economies in developing countries, yet micro-level evidence on its early effects on rural labor supply and retention remains limited. This study examines these effects in China, distinguishing between platform e-commerce (e.g., Taobao) and social e-commerce (e.g., WeChat) to uncover heterogeneous effects across different models and demographic subgroups. We employ a propensity score matching difference-in-differences (PSM-DID) method using two-period panel data from 3234 rural residents, covering the critical period of rural e-commerce emergence and expansion in China from 2013 and 2017. Results show that different e-commerce models shape rural labor allocation along both temporal and spatial dimensions. Platform e-commerce significantly promotes localized labor participation, while social e-commerce offers flexible entry points for vulnerable populations such as child-bearing, left-behind women. These findings offer lessons for inclusive digital development in developing countries facing rural labor outflow and digital divides.

SustainabilityVol. 18(8)
Minzu University of China (CN), Shenzhen Technology University (CN)
Zhejiang University, Shenzhen University, South-Central University for Nationalities
Openalex Percentile: Top 12%
ICT Impact and Policies
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