科研管理

科研管理 ›› 2025, Vol. 46 ›› Issue (7): 60-69.DOI: 10.19571/j.cnki.1000-2995.2025.07.006

• 论文 • 上一篇    下一篇

数智政策协同对城市数字技术创新的影响研究

韩先锋1,勾亚楠1,董明放2   

  1. 1.昆明理工大学管理与经济学院，云南 昆明650500；
    2.西安建筑科技大学管理学院，陕西 西安710055

  • 收稿日期:2024-01-02 修回日期:2024-12-06 出版日期:2025-07-20 发布日期:2025-07-14
  • 通讯作者: 董明放
  • 基金资助:
    教育部人文社科规划基金项目：“数智化赋能制造业绿色转型的机理与政策研究”（23YJA790026，2023—2026）；云南省基础研究计划面上项目：“数智化赋能云南资源型产业绿色创新的机制及提升路径”（202401AT070393，2024—2027）。

Research on the impact of digital intelligence policy coordination on urban digital technology innovation

Han Xianfeng1, Gou Yanan1, Dong Mingfang2   

  1. 1. School of Management and Economics, Kunming University of Science and Technology, Kunming 650500, Yunan, China;
    2. School of Management, Xi′an University of Architecture and Technology, Xi′an 710055, Shaanxi, China
  • Received:2024-01-02 Revised:2024-12-06 Online:2025-07-20 Published:2025-07-14

摘要：    数字经济时代下，以“宽带中国”战略和国家智慧城市试点为代表的数智政策能否协同发力，有效驱动数字技术创新？基于2011—2021年中国282个地级市面板数据，运用双重机器学习模型评估数智政策对数字技术创新的多维政策效应。结果表明：（1）数智政策对数字技术创新具有明显的协同效应，且相较于“单试点”政策，“双试点”政策的协同赋能效果更明显，以上结论通过一系列稳健性、内生性检验后依然成立。（2）数智政策不仅能直接发挥促进数字技术创新的双轮驱动作用，还可以通过提升创业活跃度和集聚度、强化知识产权立法与执法、培育数字硬环境和软环境等渠道为数字技术创新间接提供助力。（3）数智政策协同赋能效果与地理区位和城市特征密切相关。一方面，中心城市及南部地区、胡焕庸线以东地区城市均能从数智政策协同驱动中获取更多的数字技术创新红利；另一方面，在数字人才禀赋、政府科技投入和数字接入程度较高的城市中，数智政策的协同赋能效果更为突出。该研究为地方政府加强多维政策协调配合，深度挖掘政策统筹合力，加快数字中国建设提供了重要启示。

关键词: 数智政策, “双试点”, 协同赋能, 数字技术创新

Abstract:    In the digital economy era, the question arises whether digital intelligence policy, exemplified by the ‘Broadband China’ strategy and national smart city pilots, can synergize to effectively drive digital technology innovation. Based on the panel data from 282 prefecture-level cities in China spanning from 2011 to 2021, this study employed a double machine learning model to assess the multidimensional policy effects of digital intelligence policy on digital technology innovation. The results showed that: (1) Digital intelligence policy exhibit a significant synergistic effect on digital technology innovation, with the ‘double pilot’ policy showing a more pronounced empowerment effect compared to the ‘single pilot’ policy. These findings held true even after conducting a series of robustness checks and addressing endogeneity concerns; (2) Digital intelligence policy not only contribute directly to the dual-drive of digital technology innovation but also support it indirectly through enhancing entrepreneurial activity and agglomeration, strengthening intellectual property legislation and enforcement, and fostering both hard and soft infrastructure of the digital ecosystem; (3) The effectiveness of the synergistic empowerment from digital intelligence policy is closely linked to geographical location and urban characteristics. On the one hand, central cities, southern region and eastern regions of the Hu Huanyong Line can obtain more dividends of digital technology innovation from these synergistic policies. On the other hand, cities with a higher endowment of digital talent, greater government investment in science and technology, and higher levels of digital access exhibit a more pronounced effect of these policies. This research will provide vital insights for local governments to strengthen the coordination of multidimensional policies, explore deeply the synergistic empowerment of policy planning, and accelerate the construction of Digital China.

Key words: digital intelligence policy, double pilot, synergistic empowerment, digital technology innovation