Navigating New Trade Barriers: Data-Factor-Driven Digital Resilience for High Quality Development in Cross-Border E-Commerce Amid Policy Tightening

IF 2.7 3区 经济学 Q2 ECONOMICS
Managerial and Decision Economics Pub Date : 2026-08-06 Epub Date: 2026-05-12 DOI:10.1002/mde.70112
Kai Shan, Qiang Wang, Sohaib Mustafa, Jing Zhang, Tongtong Chen, Guolang Chen
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引用次数: 0

Abstract

Cross-border e-commerce (CBEC) is projected to reach a $2.5 trillion global market by 2025; however, tightening de minimis policies, which exempt low-value imports from duties, threatens its growth by introducing compliance costs and trade frictions. From a data factor-empowered digitalization perspective, this study examines the challenges posed by such regulatory shifts and the moderating role of digitalization in sustaining CBEC resilience, using a fixed effects panel regression across 50 countries (2015–2024). Drawing on institutional theory and the resource-based view, we test eight hypotheses to assess how de minimis tightening, tariffs, nontariff measures (NTMs), and customs complexity impact CBEC performance, and whether digitalization mitigates these effects. Results reveal that a 10% de minimis reduction correlates with a 14% export decline, NTMs by 5.5% per full coverage, with tariffs marginally negative, although customs complexity shows no effect. Data factor driven digitalization significantly mitigates de minimis, tariff, and NTM impacts, but falls short in customs, highlighting procedural limitations. These findings extend trade theory by quantifying data enabled digitalization in multicountry contexts, critiquing prior case-specific analyses and contribute to the high quality CBEC development under policy tightening. Practically, urge policymakers to balance revenue-driven reforms with SME-friendly digital exemptions, while firms should invest in compliance technologies to preserve $500 billion in potential CBEC losses by 2030.

应对新的贸易壁垒:政策收紧背景下跨境电子商务高质量发展的数据因素驱动的数字弹性
到2025年,跨境电子商务(CBEC)预计将达到2.5万亿美元的全球市场;然而,收紧对低价值进口免征关税的“最低限度”政策,会带来合规成本和贸易摩擦,从而威胁到中国的增长。从数据因素授权的数字化角度来看,本研究使用固定效应面板回归(2015-2024),研究了这种监管转变带来的挑战,以及数字化在维持CBEC弹性方面的调节作用。利用制度理论和资源基础观点,我们检验了8个假设,以评估最低限度紧缩、关税、非关税措施(ntm)和海关复杂性如何影响CBEC绩效,以及数字化是否减轻了这些影响。结果显示,10%的最小值减少与14%的出口下降相关,ntm在每个全覆盖范围内下降5.5%,关税略微为负,尽管海关复杂性没有显示出影响。数据因素驱动的数字化显著减轻了最低税额、关税和新贸易协定的影响,但在海关方面存在不足,凸显了程序限制。这些发现通过量化数据扩展了贸易理论,在多国背景下实现了数字化,批评了之前的具体案例分析,并有助于政策收紧下的高质量CBEC发展。实际上,敦促政策制定者在收入驱动型改革与中小企业友好型数字豁免之间取得平衡,而企业应投资于合规技术,以在2030年之前减少5000亿美元的潜在CBEC损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
18.20%
发文量
242
期刊介绍: Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.
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