农业图书情报学报 ›› 2021, Vol. 33 ›› Issue (6): 54-65.doi: 10.13998/j.cnki.issn1002-1248.21-0307

所属专题: 计量与评价

• 文献计量专刊 • 上一篇    下一篇

梯度理论视角下的长江中游城市群技术创新合作网络研究

邹芳1, 姜李丹2, 黄颖3,4,*   

  1. 1.湖南大学公共管理学院,长沙 410082;
    2.北京邮电大学经济管理学院,北京 100876;
    3.武汉大学信息管理学院,武汉 430072;
    4.武汉大学科教管理与评价中心,武汉 430072
  • 收稿日期:2020-04-23 出版日期:2021-06-05 发布日期:2021-06-15
  • 通讯作者: *黄颖(ORCID:0000-0003-0115-4581),男,副教授,博士生导师,武汉大学信息管理学院,研究方向为科技文献计量学和科技管理。Email:ying.huang@whu.edu.cn
  • 作者简介:邹芳(ORCID:0000-0002-2941-6427),女,硕士研究生,研究方向为科技计量与科技政策。姜李丹(ORCID:0000-0002-4254-9486),女,助理教授,硕士生导师,北京邮电大学经济管理学院,研究方向为技术创新与新兴技术治理
  • 基金资助:
    国家自然科学基金青年科学基金项目“基于多源异构数据的新兴技术演化路径识别与预测研究”(72004169); 国家自然科学基金青年科学基金项目“转型时期我国人工智能技术追赶的机会识别及适应性治理研究”(71904096)

Research on Technology Innovation Cooperation Network in the Middle Reaches of Yangtze River Urban Agglomeration from the Perspective of Gradient Theory

ZOU Fang1, JIANG Lidan2, HUANG Ying3,4,*   

  1. 1. School of public administration of Hunan University, Changsha 410082;
    2. School of economics and management, Beijing University of Posts and Telecommunications, Beijing 100876;
    3. School of information management, Wuhan University, Wuhan 430072;
    4. Science and education management and evaluation center of Wuhan University, Wuhan 430072
  • Received:2020-04-23 Online:2021-06-05 Published:2021-06-15

摘要: [目的/意义]梯度理论揭示了网络发展不均衡现象产生的缘由和演变的趋势。长江中游城市群作为中国最具发展潜力的城市群之一,是最具代表性的国家级中部城市群,对于构建中部崛起战略起到关键支撑作用。因此,研究长江中游城市群技术创新合作网络以加强城市之间的创新合作,进而加快创新型城市的建设与区域协调发展,已经成为管理领域研究人员和决策者日益关注的重要命题。[方法/过程]本文基于梯度理论视角,借助高梯度城市需满足的两大重要条件,深入内部动力层面探究长江中游城市群技术创新合作网络的结构与演化,从核心-边缘结构探析城市结构分层,从中间人和结构洞探析城市角色定位。[结果/结论]研究发现,长江中游城市群技术梯度推移主要表现为极化效应,城市间技术差距拉大。高梯度城市数量较少,还未能够形成带动性的规模效益,区域整体技术创新表现不强。本文可以从技术创新合作的角度为长江中游城市群协同发展提供有益借鉴。

关键词: 长江中游城市群, 技术创新合作网络, 梯度理论, 核心-边缘结构, 结构洞

Abstract: [Purpose/Significance] Gradient theory reveals the causes and evolutionary trends of the uneven development of networks. As one of the most promising urban agglomerations in China, the middle reaches of Yangtze River urban agglomeration is the most representative national central urban agglomeration, which plays a key role in supporting the construction of central rising strategy. Therefore, it has become an important proposition of increasing concern for researchers and policy makers in the management field to study the technology innovation cooperation network in the middle reaches of Yangtze River urban agglomeration, in order to strengthen the innovation cooperation among cities and accelerate the construction of innovative cities and coordinated regional development. [Method/Process] Based on the perspective of gradient theory, this paper explores the structure and evolution of technology innovation cooperation networks in the middle reaches of Yangtze River urban agglomeration at the level of internal dynamics with the help of two important conditions that need to be met by high-gradient cities, evolving city structure stratification from core-edge structure and city role positioning from structural holes and intermediaries. [Results/Conclusions] It is found that the technology gradient in the middle reaches of Yangtze River urban agglomeration is mainly manifested by the polarization effect, and the technology gap between cities is widened. Due to the small number of high-gradient cities, they have not been able to form a driving scale benefit, and the overall regional technology innovation performance is not strong. This paper can provide useful references for the synergistic development of the middle reaches of Yangtze River urban agglomeration from the aspect of technology innovation cooperation.

Key words: the middle reaches of Yangtze River urban agglomeration, technology innovation cooperation network, gradient theory, core-edge structure, structural holes

中图分类号: 

  • G353.1

引用本文

邹芳, 姜李丹, 黄颖. 梯度理论视角下的长江中游城市群技术创新合作网络研究[J]. 农业图书情报学报, 2021, 33(6): 54-65.

ZOU Fang, JIANG Lidan, HUANG Ying. Research on Technology Innovation Cooperation Network in the Middle Reaches of Yangtze River Urban Agglomeration from the Perspective of Gradient Theory[J]. Journal of Library and Information Science in Agriculture, 2021, 33(6): 54-65.