JOURNAL ARTICLE
Regional Poverty Alleviation Partnership and E-Commerce Trade.
Published In: Marketing Science (INFORMS), 2026, v. 45, n. 1. P. 15 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Zhong, Zemin; Zhou, Wenyu; Li, Jiewei; Li, Peng 3 of 3
Abstract
This article investigates the impact of the East-West Poverty Alleviation Partnership—a Chinese government policy pairing economically advanced cities in East China with disadvantaged cities in West China—on e-commerce trade. Using detailed Alibaba transaction data from 2017 to 2021 and employing spatial regression discontinuity methods, the study finds that the partnership significantly increases e-commerce exports from West to East China by about 10%, while having negligible effects in the opposite direction. The effects are particularly strong in product categories where West China holds comparative advantages (e.g., food, clothing, household goods) and in western cities with larger economic disparities, higher ethnic minority populations, more geographical indication (GI) products, and better e-commerce infrastructure. Mechanism analysis suggests that partnership-driven migration and increased consumer awareness partially mediate these trade gains, whereas public-sector spending and transportation cost reductions do not. The findings highlight how inclusive regional policies combined with digital platforms can promote equitable economic growth and market integration in underdeveloped areas.
Additional Information
- Source:Marketing Science (INFORMS). 2026/01, Vol. 45, Issue 1, p15
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2026
- ISSN:0732-2399
- DOI:10.1287/mksc.2023.0214
- Accession Number:190804497
- Copyright Statement:Copyright of Marketing Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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