Collected Essays on Finance and Economics ›› 2026, Vol. 42 ›› Issue (9): 29-40.

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Data Resource Density and Urban Scientific and Technological Innovation Capacity

YAO Shujun1, LIU Zhe1, XU Junbao2   

  1. 1. School of Public Administration, Xi'an University of Finance and Economics, Xi'an 710100, China;
    2. School of Public Administration, Northwest University, Xi'an 710127, China
  • Received:2026-03-03 Online:2026-09-10 Published:2026-09-10

数据资源密度与城市科技创新能力

姚树俊1, 刘喆1, 许俊宝2   

  1. 1.西安财经大学公共管理学院,陕西 西安 710100;
    2.西北大学公共管理学院,陕西 西安 710127
  • 通讯作者: 刘喆(2002—),男,山东东营人,西安财经大学公共管理学院助理研究员。
  • 作者简介:姚树俊(1981—),男,山东巨野人,西安财经大学公共管理学院教授;许俊宝(2000—),男,陕西西安人,西北大学公共管理学院博士生。
  • 基金资助:
    国家社会科学基金项目(19BTJ056);全国统计科学研究重点项目(2025LZ035);陕西省榆林市科技计划项目(2023-CXY-187)

Abstract: Based on the panel data of 276 prefecture-level cities in China from 2011 to 2024, this paper innovatively puts forward the concept of data resource density, constructs an index system of urban scientific and technological innovation capacity, and empirically tests the influence of data resource density on urban scientific and technological innovation capacity. The study finds that, firstly, data resource density plays a significant role in promoting urban scientific and technological innovation capacity, and the conclusion is still valid after a series of robustness tests; secondly, data resource density improves urban scientific and technological innovation capacity through three paths: talent element agglomeration, digital technology innovation and new digital infrastructure construction, and market activity and financial technology level have a significant positive moderating effect in the process; thirdly, the data resource density plays a more significant positive effect in the cities on the southeast side of the HU Huanyong Line, the cities with a solid development foundation and sound industrial ecology. The above conclusions not only contribute empirical evidence to the improvement of urban scientific and technological innovation capacity by data resource density, but also provide a theoretical reference for activating the value of data elements at the national level.

Key words: Data Resource Density, Urban Scientific and Technological Innovation, Talent Element Agglomeration, Digital Technology Innovation, New Digital Infrastructure Construction

摘要: 本文基于2011—2024年我国276个地级市的面板数据,创新性地提出数据资源密度的概念,构建城市科技创新能力测度指标体系,实证检验数据资源密度对城市科技创新能力的影响作用。研究发现:数据资源密度对提升城市科技创新能力具有显著的促进作用,且经一系列稳健性检验后该结论依然成立;数据资源密度通过人才要素集聚、数字技术创新和新型数字基础设施建设三条路径提升城市科技创新能力,且市场活跃度和金融科技水平在这一过程中具有显著的正向调节作用;数据资源密度在“胡焕庸线”东南侧、发展基础坚实和产业生态良好的城市中发挥的正向效应更显著。上述结论为数据资源密度提升城市科技创新能力贡献了经验证据,也为国家层面激活数据要素的价值提供有益的理论参考。

关键词: 数据资源密度, 城市科技创新, 人才要素集聚, 数字技术创新, 新型数字基础设施建设

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