从“投资于物”到“投资于人”:政府人工智能采购与企业数智劳动需求
From “Investment in Goods” to “Investment in People”: Government AI Procurement and Corporate Demand for Digital-Intelligent Labor
DOI: 10.16538/j.cnki.jsufe.2026.05.001
[1]刘歆,杨亚平.从“投资于物”到“投资于人”:政府人工智能采购与企业数智劳动需求[J/OL].上海财经大学学报,2026,28(05):3-17[2026-11-11].https://doi.org/10.16538/j.cnki.jsufe.2026.05.001.
摘要
在中国经济社会深刻转型的关键时期,将“投资于物”与“投资于人”紧密结合,已成为推动高质量发展的必然要求。基于2016—2023年中国A股上市公司数据,文章利用大语言模型构建政府人工智能采购指数和企业数智劳动需求指数,实证检验政府人工智能采购对企业数智劳动需求的影响。研究发现,政府人工智能采购能够显著提升企业数智劳动需求。政府人工智能采购通过智能化资本深化效应、人工智能技术创新效应和组织治理升级效应提升企业数智劳动需求。政府人工智能采购对企业数智劳动需求的促进作用在高数字创业活跃度城市企业和高市场竞争企业中更为突出。政府人工智能采购主要促进企业增加对具有工作经验的数智劳动需求,而在学历维度上未呈现出明显的结构性偏向。文章从政府采购视角提供了政府“投资于物”带动企业“投资于人”的经验证据,为优化政府人工智能采购制度设计、推动企业数智化转型和促进高质量充分就业提供了有益参考。
At a critical stage of profound economic and social transformation in China, promoting the integration of “investment in goods” and “investment in people” has become an essential pathway to achieving high-quality development. As an important policy instrument representing “investment in goods”, whether government artificial intelligence (AI) procurement can stimulate firms to increase investment in digital-intelligent human capital and thereby facilitate the transition from “investment in goods” to “investment in people” remains an open empirical question. Using data from China’s A-share listed companies from 2016 to 2023, this paper employs large language models to construct a government AI procurement index and a firm digital-intelligent labor demand index, and empirically examines the impact of government AI procurement on corporate demand for digital-intelligent labor. The results show that government AI procurement significantly increases corporate demand for digital-intelligent labor. Mechanism testing indicates that this effect operates through three channels: intelligent capital deepening, AI technological innovation, and organizational governance upgrading. Heterogeneity analysis reveals that the positive effect is more pronounced among firms located in cities with a higher level of digital entrepreneurship activity and those operating in more competitive markets. Further analysis shows that government AI procurement primarily increases corporate demand for experienced digital-intelligent workers, while no significant structural preference is observed with respect to educational attainment. Based on these findings, this paper proposes the following policy recommendations: Improve the institutional design of government AI procurement; strengthen its employment-enhancing role; implement differentiated procurement policies tailored to regional and industrial characteristics; and improve the cultivation, mobility, and incentive mechanisms for digital-intelligent talents.
关键词: 投资于物,投资于人,政府人工智能采购,企业数智劳动需求,大语言模型