当代财经 ›› 2025, Vol. 0 ›› Issue (12): 129-142.

• 产业与贸易 • 上一篇    下一篇

贸易数字化与劳动收入份额提升——来自“跨境电商+产业带”的证据

李建萍1, 刘磊2, 辛大楞1   

  1. 1.山东师范大学 经济学院,山东 济南 250358;
    2.山东财经大学 国际经贸学院,山东 济南 250014
  • 收稿日期:2025-05-23 修回日期:2025-11-10 出版日期:2025-12-15 发布日期:2025-12-10
  • 通讯作者: 辛大楞,山东师范大学教授,博士生导师,经济学博士,主要从事国际经济学研究,联系方式 xindaleng@163.com。
  • 作者简介:李建萍,山东师范大学副教授,经济学博士,主要从事国际贸易理论与政策研究;刘磊,山东财经大学副教授,博士生导师,经济学博士,主要从事全球价值链研究。
  • 基金资助:
    国家社会科学基金后期资助项目(24FJLB013); 山东省自然科学基金面上项目(ZR2023MG043); 泰山学者工程专项经费资助(tsqn202507152)

Trade Digitalization and the Increase in Labor Income Share: Evidences from“Cross Border E-commerce + Industrial Belt”

Li Jian-ping1, Liu Lei2, Xin Da-leng1   

  1. 1. Shandong Normal University, Jinan 250358;
    2. Shandong University of Finance and Economics, Jinan 250014, China
  • Received:2025-05-23 Revised:2025-11-10 Online:2025-12-15 Published:2025-12-10

摘要: 当前贸易数字化成为国际贸易发展的新趋势,对国内收入分配的影响日益凸显。基于贸易福利视角,以我国“跨境电商+产业带”为例,运用地级市相关面板数据,考察贸易数字化对劳动收入份额的影响及其作用机制。研究结果表明,贸易数字化显著提升劳动收入份额,其作用机制为贸易数字化通过从贸易的起因端与结果端破除价格“内卷”而提升劳动收入份额。异质性分析发现,贸易数字化对贸易基础薄弱城市和制造业占比较高的城市的影响更大。进一步分析发现,在不利的贸易环境下贸易数字化能够保持出口韧性;虽然“跨境电商+产业带”产生显著规模经济效应,但是网络带来的范围经济效应尚不显著;在智能制造背景下,贸易数字化带来数据要素和劳动要素的互补效应,从而实现生产智能化与劳动收入份额提升的统一。因此,应积极主动制定贸易数字化战略,引导跨境电商在传统制造业基地集聚,促进跨境电商创新,以充分发挥贸易数字化对劳动收入份额的提升效应。

关键词: 贸易数字化, 劳动收入份额, 价格“内卷”, 跨境电商+产业带

Abstract: At present, trade digitalization has a new trend in the development of international trade, and its impact on domestic income distribution is increasingly prominent. From the perspective of trade welfare, this study takes“cross-border e-commerce + industrial belt”as an example and utilizes the related panel data of prefecture-level cities to examine the impact of trade digitalization on labor income share and its underlying mechanisms. The research findings indicate that trade digitization can significantly enhance labor income share, with its mechanism involving the mitigation of price“involution”at both the origin and outcome stages of trade, thereby increasing labor income share. The heterogeneity analysis reveals that trade digitization has a more pronounced impact on the cities with weak trade foundations and those with a higher proportion of manufacturing. Further analysis reveals that trade digitization can maintain export resilience under adverse trade conditions. Although the“cross-border e-commerce + industrial belt”model generates significant economies of scale, the scope economies brought by the network remain inconspicuous. Against the backdrop of smart manufacturing, trade digitization fosters a complementary effect between data and labor factors, thereby achieving the integration of production intelligence and an increase in labor income share. Therefore, it is necessary to actively formulate a trade digitization strategy, guide cross-border e-commerce to gather in traditional manufacturing bases, promote cross-border e-commerce innovation, enhance the adaptability of labor factors and cross-border data factors, so as to fully leverage the effect of trade digitization on the increase of labor income share.

Key words: trade digitalization, share of labor income, price involution, cross border e-commerce + industrial belt

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