主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2024, Vol. 33 ›› Issue (11): 94-105.DOI: 10.3969/j.issn.1004-9479.2024.11.20222497

• 城市与产业 • 上一篇    下一篇

粤港澳大湾区中心城市技术创新流动网络演化研究——以深圳为案例

陈穗丽1(), 陈致昂2, 郑舒桐1, 杨钰琳1, 李文辉2()   

  1. 1.华南师范大学,经济与管理学院,广州 510631
    2.华南师范大学,地理科学学院,广州 510631
  • 收稿日期:2022-12-14 修回日期:2023-08-16 出版日期:2024-11-15 发布日期:2024-11-27
  • 通讯作者: 李文辉
  • 作者简介:陈穗丽(1980—),女,助理研究员,研究方向为科技创新与知识产权管理,E-mail:suilichen@126.com
  • 基金资助:
    国家社会科学基金重大项目(21ZDA011);国家自然科学基金面上项目(42171172);广东省软科学研究计划项目(2024A1010020004);广东省哲学社会科学规划项目(GD24XGL052)

Research on the network evolution of technology innovation flow in the central cities of the Guangdong-Hong Kong-Macao Greater Bay Area: A case of Shenzhen

Suili CHEN1(), Zhi'ang CHEN2, Shutong ZHENG1, Yulin YANG1, Wenhui LI2()   

  1. 1.School of Economics and Management, South China Normal University, Guangzhou 510631, China
    2.School of Geography, South China Normal University, Guangzhou 510631, China
  • Received:2022-12-14 Revised:2023-08-16 Online:2024-11-15 Published:2024-11-27
  • Contact: Wenhui LI

摘要:

技术转移是打破跨区域创新要素流动壁垒的主要形式,对提升创新网络效率具有重要作用。基于深圳与粤港澳大湾区其他城市区域间技术转移专利计量信息及其空间关系,借助社会网络分析方法,从辐射、集聚两个维度,对粤港澳大湾区中心城市深圳与其他城市间技术创新流动网络时空演化进行了研究。研究结论包括:①技术创新流动网络规模不断增大,呈“小世界”特征和“核心-边缘”结构演化趋势;网络整体较为稀疏,个体辐射和集聚能力有待提高。②网络广度和深度不断拓展,其演化遵循累积循环作用机制和社会邻近作用机制,逐步向多中心趋势演化,反映了“路径依赖”“路径锁定”和“路径创造”效应。③集聚网络信息和资源传递的可达性强于辐射网络,而辐射网络的广度和深度均大于集聚网络,空间敏感度更强。④应不断提升个体的技术创新能力,充分发挥科技中介机构、民营企业(特别是高新技术企业)、高校等的各自技术创新优势和影响力,提高技术创新流动的网络广度和深度。

关键词: 粤港澳大湾区, 中心城市, 技术创新流动, 中国特色社会主义先行示范区, 深圳

Abstract:

Technology transfer is the main form of breaking down barriers to cross-regional innovation factor flow and plays an important role in improving the efficiency of innovation networks. Based on the measurement information and spatial relationship of technology transfer patents between Shenzhen and other cities in the Guangdong-Hong Kong-Macao Greater Bay Area, this paper studies the temporal and spatial network evolution of technology innovation flow between Shenzhen and other cities in Guangdong-Hong Kong-Macao Greater Bay Area from two dimensions of radiation and agglomeration. The conclusions are as follows: ① The scale of the technological innovation flow network is growing, showing the characteristics of a "small world" and "core edge" structure evolution trend; The overall network is sparse, and the ability of individual radiation and aggregation needs to be improved. ② The breadth and depth of the network are constantly expanding. The evolution of the network follows the mechanism of cumulative circulation and social proximity. The gradual evolution of the network towards multi center reflects the effects of "path dependence", "path locking" and "path creation". ③ The accessibility of information and resource transfer in the agglomeration network is stronger than that in the radiation network; the breadth and depth of the radiation network are greater than that of the agglomeration network; and the spatial sensitivity is stronger. ④ We should constantly improve the individual's technological innovation ability, fully leverage the respective technological innovation advantages and influence of technology intermediaries, private enterprises (especially high-tech enterprises), universities, etc, and improve the network breadth and depth of technology innovation flow.

Key words: Guangdong-Hong Kong-Macao Greater Bay Area, central city, technology innovation flow, a pilot demonstration area of socialism with Chinese characteristics, Shenzhen