财经论丛 ›› 2026, Vol. 42 ›› Issue (10): 39-50.

• 数字经济 • 上一篇    下一篇

企业算力部署与投资效率提升——基于外部情景与内部配置的双重视角

夏祖辉, 扈文秀, 谢珊珊, 高秦凤   

  1. 西安理工大学经济与管理学院,陕西 西安 710000
  • 收稿日期:2026-04-25 出版日期:2026-10-10 发布日期:2026-10-09
  • 作者简介:夏祖辉(2000—),男,河南周口人,西安理工大学经济与管理学院博士生;扈文秀(1964—),男,河南新乡人,西安理工大学经济与管理学院教授;谢珊珊(2001—),女,陕西宝鸡人,西安理工大学经济与管理学院博士生;高秦凤(1998—),女,陕西渭南人,西安理工大学经济与管理学院博士生。
  • 基金资助:
    国家社会科学基金重点项目(25AJY002);2026年度陕西省哲学社会科学研究专项(2026QN0542)

Deployment of Corporate Computing Power and Improvement of Investment Efficiency: A Dual Perspective on External Conditions and Internal Allocation

XIA Zuhui, HU Wenxiu, XIE Shanshan, GAO Qinfeng   

  1. School of Economics and Management, Xi an University of Technology, Xi an 710000, China
  • Received:2026-04-25 Online:2026-10-10 Published:2026-10-09

摘要: 在数字经济持续深化和新一轮技术变革加速推进的背景下,算力作为战略性基础资源,正日益成为影响企业投资效率的重要因素。本文以2008—2024年沪深A股上市企业为样本,构建双重差分模型,系统考察企业算力部署对投资效率的影响。研究发现,企业算力部署能够提升投资效率。机制检验表明,企业算力部署主要通过增强外部情景识别能力和优化内部资源配置能力改善企业投资效率,具体表现为增强企业对经济政策不确定性的感知、提高分析师关注度、降低成本刚性并改善内部控制质量。异质性分析发现,企业算力部署对不同产权性质和成长阶段的企业均具有投资效率改善作用,但其价值释放程度受到企业资源保障能力和应用场景的影响,在现金流充裕企业和数字经济行业企业中表现更为明显。本文从企业投资效率视角拓展了算力资源微观经济效应的经验证据,也为企业优化投资决策、提升资本配置效率提供了实践启示。

关键词: 算力, 投资效率, 风险感知, 资源配置

Abstract: Against the backdrop of the continuous deepening of the digital economy and the accelerated advancement of a new round of technological transformation, computing power, as a strategic foundational resource, is increasingly becoming an important force in shaping firms investment efficiency. Using Chinese A-share listed firms from 2008 to 2024 as the research samples, this paper constructs a difference-in-differences model to systematically examine the impact of deploying corporate computing power on investment efficiency. The results show that deployment of corporate computing power significantly improves investment efficiency. Mechanism tests indicate that deployment of corporate computing power improves firms investment efficiency mainly by enhancing external scenario identification capabilities and optimizing internal resource allocation capabilities. Specifically, it strengthens firms perception of economic policy uncertainty, increases analyst attention, reduces cost rigidity, and improves internal control quality. Heterogeneity analysis reveals that deployment of enterprise computing power improves investment efficiency for firms with different ownership structures and at different growth stages. However, the extent to which its value is realized is influenced by firms financial capacity and application scenarios, with more pronounced effects seen in firms with sufficient cash flow and those in digital economy-related industries. This paper extends the empirical evidence on the microeconomic effects of computing power resources from the perspective of firms investment efficiency, and it also provides practical implications for firms to optimize investment decisions and improve capital allocation efficiency.

Key words: Computing Power, Investment Efficiency, Risk Perception, Resource Allocation

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