华东师范大学学报(哲学社会科学版) ›› 2026, Vol. 58 ›› Issue (4): 163-181.doi: 10.16382/j.cnki.1000-5579.2026.04.014

• 中国式现代化:高质量发展研究 • 上一篇    

数字经济发展、职业技能分工与工资增长——基于一个“任务交易”团队生产模型

彭水军, 安鹏, 方颖   

  • 接受日期:2026-06-17 出版日期:2026-07-15 发布日期:2026-08-03
  • 作者简介:彭水军,厦门大学经济学院教授(厦门,361005)
    安鹏,厦门大学经济学院国际经济与贸易系博士研究生
    方颖,通讯作者,广东外语外贸大学国际经济贸易研究院讲师(广州,510006)
  • 基金资助:
    国家社科基金重大项目“新时期开放中提升国际循环质量和水平以畅通国内国际双循环的实现路径研究”(项目编号:23ZDA053)。

Development of Digital Economy,Division of Occupational Skills and Wage Growth:Based on A “Task Transaction” Team Production Model

Shuijun Peng, Peng An, Ying Fang   

  • Accepted:2026-06-17 Online:2026-07-15 Published:2026-08-03

摘要:

在数字经济发展深刻重塑劳动力市场格局、人力资源错配问题日益凸显的背景下,挖掘数字经济发展推动职业技能有效分工的内在机制,是实现高质量充分就业的关键。本文通过构建一个纳入数字经济的“任务交易”团队生产模型,揭示了数字经济发展通过降低企业内部的任务交易成本、实现职业技能有效分工,进而更好地发挥不同职业技能劳动者比较优势、提升团队整体生产率,最终促进劳动者工资增长的作用路径;同时,以“宽带中国”政策为准自然实验,基于CFPS个人层面数据进行实证检验,发现数字经济发展显著促进了劳动者工资增长,且对非常规型职业和认知技能较高的劳动者而言这一作用更加显著。本文进一步使用上市公司数据进行机制分析发现,数字经济发展通过降低任务交易成本、提高团队生产率,进而促进工资增长;拓展分析表明,数字经济发展还促进了企业对不同类型职业尤其是非常规技能密集型职业的需求增长,这是数字经济促进工资增长的另一重要路径。

关键词: 数字经济, 工资增长, 职业技能分工, 任务交易成本, 团队生产模型

Abstract:

Against the backdrop of the digital economy profoundly reshaping labor market landscapes and the increasingly salient problem of human resource misallocation, uncovering the intrinsic mechanism through which the digital economy drives an effective division of labor by skills is pivotal to achieving high-quality full employment. By constructing a “task transaction” team production model that incorporates the digital economy, this paper reveals a pathway in which the development of the digital economy reduces intra-team “task transaction” costs, thereby enabling an effective skill-based division of labor, leveraging workers’ comparative advantages, enhancing overall team productivity, and ultimately promoting wage growth. Taking the “Broadband China” policy as a quasi-natural experiment and using individual-level data from the China Family Panel Studies (CFPS), the empirical tests find that the digital economy significantly promotes a widespread increase in workers’ wages, and this effect is more pronounced for workers in non-routine occupations and those with higher cognitive skills. Further mechanism analysis employing data from listed companies demonstrates that the digital economy boosts team productivity by cutting task transaction costs, thereby driving wage growth. Extended analyses reveal that the digital economy also promotes firms’ demand for different types of occupations, especially non-routine skill-intensive occupations, representing another important pathway through which the digital economy increases wages.

Key words: digital economy, wage growth, division of occupational skills, task transaction costs, team production model