【摘要】 数据商品和服务交易平台的构建，是数字劳动者和数字生产资料实际结合的数字劳动的体现，也是在数字时代社会化生产条件下活劳动不断转化为物化劳动的过程。本文将2011—2023年A股上市公司微观层面变量与城市宏观层面变量进行匹配，实证检验显示：数字劳动对全要素生产率具有积极影响，主要通过提升数实融合水平、促使高技术产业集聚两条机制实现。异质性检验显示：(1)在算力调度水平和信息基础设施建设水平较高的地区，数字劳动能够显著提高全要素生产率。(2)在市场整合程度较高地区，数字劳动通过数实融合对全要素生产率形成积极作用。(3)在创新生态水平较高地区，数字劳动通过高技术产业集聚对全要素生产率形成积极作用。更多还原

【Abstract】 The construction of data commodity and service trading platforms embodies digital labor, which is the practical integration of digital workers and digital means of production.It also represents the process of transforming living labor into materialized labor under the conditions of socialized production in the digital era.This paper matches micro-level variables of A-share listed companies with macro-level variables of cities from 2011 to 2023 based on the registered locations and city codes of listed companies.Empirical tests show that digital labor has a positive impact on TFP,mainly through two mechanisms: enhancing the level of digital-physical integration and promoting the agglomeration of high-tech industries.Heterogeneity tests reveal that:(1)In regions with higher levels of computing power scheduling and information infrastructure construction, digital labor can significantly improve TFP.(2)In regions with higher degrees of market integration, digital labor positively affects TFP through digital-physical integration.(3)In regions with higher levels of innovation ecology, digital labor positively affects TFP through the agglomeration of high-tech industries.更多还原