中国数字技术创业的时空格局及其影响因素研究

  • 翟庆华 ,
  • 刘松雯 ,
  • 胡小梅 ,
  • 苏靖
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  • 1.华东师范大学地理科学学院,上海 200062;
    2.华东师范大学全球创新与发展研究院,上海 200062;
    3.上海立信会计金融学院工商管理学院,上海 201209
翟庆华( 1986—) ,男,辽宁铁岭人,副教授,博士,主要从事创业管理和创业地理研究。E-mail: qhzhai@re.ecnu.edu.cn
刘松雯。E-mail: 1415682716@qq.com

收稿日期: 2023-09-25

  修回日期: 2024-03-20

  网络出版日期: 2025-04-30

基金资助

国家社会科学基金一般项目(24BGL162)、国家社会科学基金重大项目(23&ZD330)资助

Spatial-temporal pattern and impact factor of digital technology entrepreneurship in China

  • Zhai Qinghua ,
  • Liu Songwen ,
  • Hu Xiaomei ,
  • Su Jing
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  • 1. School of Geographic Science, East China Normal University, Shanghai 200062, China;
    2. Institute for Global Innovation and Development, East China Normal University, Shanghai 200062, China;
    3. School of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China

Received date: 2023-09-25

  Revised date: 2024-03-20

  Online published: 2025-04-30

Supported by

General Program of National Social Science Foundation of China (24BGL162), Major Program of National Social Science Foundation of China (23&ZD330).

摘要

本文在城市尺度下,运用核密度分析、标准差椭圆等方法分析了中国数字技术创业的时空格局。同时,应用面板数据建立了空间杜宾模型以探讨数字技术创业的影响因素。研究发现:①自2008 年以来,中国数字技术创业持续蓬勃发展,其空间分布呈现出“东强西弱、中部崛起”和“小集聚大分散”的特征。不同类型的数字技术创业不断从东部向中西部地区扩散。②中国数字技术创业的区域重心自东北向西南移动。③数字用户规模、风险投资、政府科技支持强度、数字基础设施水平、知识厚度、市场规模等因素对数字技术创业的发展产生积极影响,且不同影响因素的作用强度和相对重要性在不同区域存在差异。同时,不同类型的数字技术创业对各影响因素的依赖程度并不相同,并且存在着区域差异。

本文引用格式

翟庆华 , 刘松雯 , 胡小梅 , 苏靖 . 中国数字技术创业的时空格局及其影响因素研究[J]. 地理科学, 0 : 250430 . DOI: 10.13249/j.cnki.sgs.20230905

Abstract

The role of digital technology entrepreneurship in the high-quality development of regional economies is becoming increasingly significant. The locational choice has emerged as a critical issue in current regional development, however, there is limited researches on the nationwide spatial-temporal distribution of digital technology entrepreneurship. This paper employed methods such as kernel density analysis and standard deviation ellipses to analyze the spatial-temporal patterns of digital technology entrepreneurship in China at the urban scale. Simultaneously, a spatial Durbin model was established using panel data to explore the influencing factors of digital technology entrepreneurship. The results show that: 1) Since 2008, China’ s digital technology entrepreneurship has been developing continuously, and its spatial distribution shows the characteristics of “east is strong, west is weak, and center is rising”, and “small agglomeration and large dispersion”. Different types of digital technology entrepreneurships are continuously dividing upward spread from the east to the central and western regions. 2) The regional gravity of digital technology entrepreneurship in China is moving from northeast to southwest. 3) Factors such as the scale of digital users, venture capital, government scientific and technical support, digital infrastructure level, knowledge thickness, and market size have positive impacts on the development of digital technology entrepreneurship, and the intensity and relative importance of the different influencing factors are different in different regions. At the same time, different types of digital technology entrepreneurship exhibit varying degrees of dependence on each influencing factor, with regional differences also present.

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