• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2026, Vol. 44 ›› Issue (8): 1670-1680.

• 创新探索 • 上一篇    下一篇

信息消费与数字技术创新———来自国家信息消费试点城市的证据

周京奎,何昌磊   

  1. 南开大学
  • 收稿日期:2025-04-28 修回日期:2026-02-14 出版日期:2026-08-15 发布日期:2026-08-15
  • 通讯作者: 何昌磊
  • 基金资助:
    中心城市科技创新带动城市群协同创新与高质量发展研究;面向高质量发展的京津冀产业协同发展模式研究

Information Consumption and Digital Technology Innovation--Evidence from National Information Consumption Pilot Cities

  • Received:2025-04-28 Revised:2026-02-14 Online:2026-08-15 Published:2026-08-15

摘要: 信息消费是新发展格局下借助需求引致数字技术创新的重要举措。依据需求引致创新理论,搭建起基座、主体以及生态效应的分析框架,论证信息消费驱动政策赋能数字技术创新的潜在机理,结合城市数据集、专利数据库、全国税收调查数据库、上市公司数据库等多源数据库,并借助信息消费试点政策运用多期双重差分模型进行实证检验。研究发现,信息消费驱动政策能够显著提升数字技术创新水平。机制分析表明,信息消费驱动政策通过吸引人才集聚、培育企业的创新主体作用、增强政府的外部生态保障赋能数字技术创新。异质性分析表明,信息消费驱动政策主要提升了市场化水平高的地区、二线以下城市以及数字产业基础良好的地区的数字技术创新水平。协同效应分析表明,数字金融、数字经济政策、信息基础设施支撑可以从金融赋能、政策引导、设施支撑的角度与信息消费驱动政策发挥显著的协同效应。本文研究结论对于信息消费驱动下释放数字技术创新活力具有重要的启示意义。

Abstract: Information consumption, which accelerates the integration of consumption chains with supply chains, industrial chains, and value chains through digital technology, has become a defining feature of digital economic development and a key engine driving high-quality economic growth. To promote information consumption, the State Council issued the “Guiding Opinions on Further Expanding and Upgrading Information Consumption to Continuously Unleash the Potential of Domestic Demand” in 2017. This document emphasized deepening the integration of information consumption with innovation, entrepreneurship, and the “Internet Plus” initiative, while encouraging core technology R&D and service model innovation. The 2021 “Outline of the 14th Five-Year Plan for National Economic and Social Development and the Long-Range Objectives Through the Year 2035” highlighted the need to cultivate new forms of consumption, including information consumption, digital consumption, and green consumption. The 2024 State Council Opinions on Promoting High-Quality Development of Service Consumption called for accelerating the construction and upgrading of information consumption experience centers and launching a series of new information consumption projects. Consequently, advancing information consumption has become a key component of the national innovation strategy. The Ministry of Industry and Information Technology approved 104 national information consumption pilot cities in 2014 and 2015, respectively, deploying pilot initiatives in infrastructure, consumption models, and core technologies to support information consumption development. How, then, do information consumption-driven policies at all government levels simultaneously advance information consumption development and digital technology accumulation while elevating urban digital technology innovation levels? What are their underlying mechanisms? Addressing these questions not only provides a theoretical framework and empirical evidence for evaluating the policy implications of information consumption pilot city development but also offers valuable insights into leveraging demand-driven innovation to enhance urban digital technology innovation capabilities. Drawing upon demand-driven innovation theory, this paper constructs an analytical framework encompassing foundational elements, core entities, and ecosystem effects. It elucidates the potential mechanisms through which information consumption-driven policies empower urban digital technological innovation. Empirical validation employs a multi-period difference in differences model, utilising multiple datasets including urban datasets, patent databases, national tax survey databases, and listed company databases, alongside information consumption pilot policies. Findings reveal that information consumption-driven policies significantly elevate urban digital technology innovation levels. Mechanism analysis indicates these policies drive innovation through multiple pathways: attracting talent clusters, fostering enterprises as innovation agents, and strengthening governmental external ecosystem safeguards. Heterogeneity analysis demonstrates that such policies primarily enhance digital innovation in regions with high marketisation levels, cities below tier-two status, and areas possessing robust digital industrial foundations. Synergy analysis indicates that digital finance, digital economy policies, and information infrastructure support can generate significant synergistic effects with information consumption-driven policies through financial empowerment, policy guidance, and facility support. The findings of this study provide novel and viable pathways for technological innovation in the digital era, offering important insights for unleashing urban digital technology innovation vitality under information consumption-driven frameworks. Based on the above conclusions, this paper proposes the following policy implications: First, refine top-level institutional design and resource support systems to establish standardized policy closed-loop mechanisms. Second, build collaborative innovation mechanisms among talent, enterprises, and government to stimulate endogenous motivation among micro-level entities. Third, implement tailored, tiered advancement strategies based on the distinct resource endowments of different cities.

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