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Journal of Engineering, Project, and Production Management, 2026, 16(3), 2025-156

 

Optimizing Regional Trade Networks through Blockchain-Based Cross-Border E-Commerce Credit Systems

 

Lili Du1, Xuefang Zhang2, Yaping Zhu2, and Dejie Wang3

1 Lecturer, Department of International Economy and Trade, Rizhao Polytechnic, Rizhao, 276800, China
2 Lecturer, Department of Business, Rizhao Polytechnic, Rizhao, 276800, China
3 Lecturer, School of Translation, Qufu Normal University, Rizhao, 276800, China, E-mail: dulili@rzpt.edu.cn (corresponding author).

 

Project Management

 

Received August 8, 2025; revised September 22, 2025; accepted December 5, 2025

 

Available online April 8, 2026

 

Abstract:  This study examines using blockchain to establish trust in cross-border e-commerce and strengthen regional trade networks to address major issues such as information asymmetry, lack of a trust mechanism, and inefficiency, which are found in traditional cross-border trade. By integrating blockchain technology with network optimization theory, the study constructs a cross-border e-commerce credit system architecture based on a consortium chain structure, designs a multidimensional credit evaluation model, and establishes smart contract-driven credit data collection and processing mechanisms. Empirical research demonstrates that this credit system, when applied to large-scale cross-border e-commerce platforms, improves information transparency by 85%, achieves 91% risk warning accuracy, and reduces dispute resolution time from 14 days to 3 days. In Small and Medium Enterprise (SME) alliances, the proportion of trade executed through smart contracts increases from 15% to 67%, with average credit limits granted by financial institutions increasing by 41%; in regional trade ecosystems, trade activity increases by 27%, with network density rising from 0.31 to 0.45. Research contributions include proposing a blockchain-driven multidimensional credit evaluation model for international e-commerce, cross-border credit collaboration mechanisms based on smart contracts, and multi-level credit data sharing solutions adapted to different trading requirements. These findings provide technical implementation pathways for cross-border e-commerce platforms, innovative regulatory approaches for trade management departments, and feasible support solutions for SMEs participating in international trade, offering extensive application value for inclusive global trade development, regional economic structure optimization, and international trade efficiency enhancement.

 

Keywords: Blockchain technology, cross-border e-commerce, credit system, trade network optimization, smart contracts.

Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal).

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

Requests for reprints and permissions at eppm.journal@gmail.com.

Citation: Du, L., Zhang, X., Zhu, Y., and Wang, D. (2026). Optimizing Regional Trade Networks through Blockchain-Based Cross-Border E-Commerce Credit Systems. Journal of Engineering, Project, and Production Management, 16(3), 2025-156.

DOI: 10.32738/JEPPM-2025-156

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