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地理科学进展 >

2025 , Vol. 44 >Issue 5: 896 - 907

DOI: https://doi.org/10.18306/dlkxjz.2025.05.003

研究论文

中国城市关键数字技术创新格局：技术关联性的作用

  • 叶琴 , 1 ,
  • 蒋海云 1 ,
  • 曾刚 2 ,
  • 曹月娥 1
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  • 1.上海师范大学环境与地理科学学院，上海 200234
  • 2.华东师范大学中国现代城市研究中心，上海 200062

叶琴(1989— )，女，福建泰宁人，博士，副教授，硕士生导师，主要从事创新网络与区域发展研究。E-mail:

收稿日期: 2024-07-30

  修回日期: 2024-11-07

  网络出版日期: 2025-05-26

基金资助

国家自然科学基金项目(42130510)

国家自然科学基金项目(41901142)

国家自然科学基金项目(42401217)

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Key digital technology innovation patterns in cities of China: The role of technological relatedness

  • YE Qin , 1 ,
  • JIANG Haiyun 1 ,
  • ZENG Gang 2 ,
  • CAO Yue'e 1
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  • 1. School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
  • 2. The center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China

Received date: 2024-07-30

  Revised date: 2024-11-07

  Online published: 2025-05-26

Supported by

National Natural Science Foundation of China(42130510)

National Natural Science Foundation of China(41901142)

National Natural Science Foundation of China(42401217)

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摘要

数字技术的快速发展和广泛融合深刻改变经济结构，成为重塑国家创新格局与赋能新质生产力的关键力量。论文基于2014—2022年中国城市关键数字技术发明专利数据，构建关键数字技术专利量、关键数字技术关联性密度指标，刻画中国关键数字技术创新格局演变态势，划分数字技术创新中心区、次中心区、潜力区和外围区，探究技术关联性对城市新数字技术专业化的影响。研究发现：① 中国关键数字技术创新在空间上高度集聚，“虹吸效应”明显。② 城市间新数字技术开发潜力差距缩小。许多中西部城市数字技术融合比例高，跻身技术关联性全国10强之列。③ 识别出59个中心区，其中30个位于长三角、珠三角、京津冀城市群，9个潜力区围绕中心区分布，有助于形成区域间技术互补。④ 技术关联性在中国城市新数字技术专业化中发挥关键作用。技术关联性增加10%，新数字技术专业化概率增加9%；4类区域中次中心区增幅最大；7类技术中物联网增幅最大。研究揭示了数字技术创新空间分异规律，为区域制定差异化数字技术发展战略，推进数字经济高质量发展提供科学参考。

关键词： 关键数字技术; 创新格局; 技术关联性; 新技术专业化; 发明专利数据

本文引用格式

叶琴 , 蒋海云 , 曾刚 , 曹月娥 . 中国城市关键数字技术创新格局：技术关联性的作用[J]. 地理科学进展, 2025 , 44(5) : 896 -907 . DOI: 10.18306/dlkxjz.2025.05.003

Abstract

The rapid development and widespread integration of digital technologies have profoundly transformed the economic structure, becoming a key force in reshaping national innovation patterns and empowering new quality productivity. Based on the invention patent data for key digital technologies in cities of China from 2014 to 2022, this study identified indicators such as the number of key digital technology patents and the technological relatedness density of key digital technologies, to depict the trends of change of China's key digital technology innovation landscape. The study divided cities into digital technology innovation core zones, sub-core zones, potential zones, and peripheral zones, and explored the impact of technological relatedness on urban specialization in new digital technologies. The findings reveal that: 1) China's key digital technology innovation was highly concentrated spatially, with a pronounced siphon effect. 2) The gap in new digital technology development potential between cities was narrowing, with many cities in the central and western regions showing a high degree of digital technology integration, ranking among the top 10 nationally in terms of technological relatedness. 3) Fifty-nine core zones have been identified, thirty of which are located in the Yangtze River Delta, the Pearl River Delta, and the Beijing-Tianjin-Hebei urban clusters. Nine potential zones were distributed around the core zones, contributing to regional technological complementarity. 4) Technological relatedness played a key role in the specialization of new digital technologies in cities of China. A 10% increase in technological relatedness led to a 9% increase in the likelihood of specialization in new digital technologies, with the largest increase observed in sub-core zones. Among the seven categories of technologies, the Internet of Things showed the greatest growth.This study reveals the spatial differentiation patterns of digital technology innovation, providing a scientific reference for formulating region-specific digital technology development strategies and promoting high-quality growth of the digital economy.

Key words： key digital technologies; innovation patterns; technological relatedness; new technological specialization; invention patent data

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