• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2024, Vol. 42 ›› Issue (6): 1288-1299.

• 技术创新与制度创新 • 上一篇    下一篇

创新主体在城市群知识网络中的角色———基于科学与技术关联视角

滕子优1,朱雪忠2,胡成1,张萱3,3   

  1. 1. 同济大学上海国际知识产权学院
    2. 同济大学
    3.
  • 收稿日期:2023-06-29 修回日期:2023-09-05 出版日期:2024-06-15 发布日期:2024-06-15
  • 通讯作者: 朱雪忠
  • 基金资助:
    国家重大科技产业项目知识产权安全风险监测预警与防控体系

The role of actors in the knowledge networks of city clusters: From the perspective of the linkage between science and technology

  • Received:2023-06-29 Revised:2023-09-05 Online:2024-06-15 Published:2024-06-15

摘要: 基于科学的创新逐渐成为新的创新范式,促进从科学成果在技术创新中的应用有助于在新兴产业获得竞争优势。构建城市群科学到技术的知识流动网络,分析网络中各创新主体的角色,可以助力城市群优化创新主体定位与布局,推进区域科技中心建设,从而加速科学与技术融合,实现区域高质量发展。分别收集京津冀、长三角和珠三角城市群2001~2020年组织参与的专利引用论文关系,构建创新主体间知识网络。结合社会网络与相关性分析,从整体网络和自我网络两个层面对比城市群知识网络中不同类型创新主体特征。结果发现:(1)本地大学同时承担重要的科学知识输出、输入和中介功能,本地科研机构作用类似,但规模较小。本地大中企业和小微企业多侧重知识吸收,少量具备输出和中介能力;整体上,本地小微企业的知识输出、输入和中介能力最弱;(2)京津冀和长三角知识网络中,本地大学知识输出、输入和中介能力相关性高,本地大中企业和小微企业则缺少显著相关性。珠三角知识网络中,本地大学多侧重于知识吸收或输出之一,本地大中企业知识输出、输入和中介功能相关性高;(3)京津冀和长三角网络中,本地大学与外部主体交流最密切,珠三角网络中本地大中企业与外部主体直接交流程度最高。研究结论为相关区域完善多主体共同参与的科技创新体系提供借鉴。

Abstract: Regional knowledge network is an important way to explain how innovation takes place in regions. There has been a large body of literature addressing the properties of scientific or technological collaboration networks in different regions. However, most of the studies treat science and technology separately and focus less on their interaction. A well-established stream of literature has demonstrated that science is a critical source of knowledge in the development of technology. Promoting the knowledge flow from science to technology helps gain competitive advantage in emerging industries. However, little evidence shows how science is transferred to technology through actors in regions. Therefore, this paper aims to identify the role of different local actors in regional knowledge network from the perspective of science-technology linkage. In this way, policy makers can optimize the layouts of entities and develop science and technology hubs in city clusters so that science and technology can be more deeply interacted, which contributes to high-quality regional development. Patent-to-paper citations are commonly interpretated as the knowledge diffusion from science to technology. Therefore, we collect patent-to-paper citations from 2001 to 2020, which involves the organizations located in the Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta regions respectively to establish the inter-organizational knowledge networks in the regions. The characteristics of local actors in the knowledge networks of three city clusters are compared at the level of the entire network and ego-network with the help of social network and correlation analysis. The results are: (1) Universities play a significant role as the knowledge producer, absorber and brokers. Research Institutions play a similar but less important role. Large and medium-sized enterprises and small and micro-enterprises focus more on knowledge absorption, with only a small portion as both the knowledge producer and broker. The ability of small and micro-enterprises in knowledge production, absorption and brokerage is weakest among all types of actors. (2) In the knowledge networks of the Beijing-Tianjin-Hebei region and the Yangtze River Delta, universities’ ability in knowledge output, is in line with their capability in knowledge production, and brokerage. For large and medium-sized enterprises and small and micro-enterprises, the ability shows little correlation. In the Pearl River Delta knowledge network, universities mostly focus on either knowledge absorption or output, while the ability of enterprises in knowledge output, input, and brokerage is highly correlated. (3) In the Beijing-Tianjin-Hebei region and the Yangtze River Delta networks, universities have the closest communication with external entities, while in the Pearl River Delta network, large and medium-sized enterprises have the highest level of direct communication with external entities. This paper contributes to the theoretical literature in two ways. First, we add the understanding of the role of different actors in regional knowledge networks. Specifically, our results reveal the heterogeneous characteristics of actors in their involvement in transferring knowledge from science to technology. Second, we provide a novel approach of assessment for the actors in regional innovation system based on social network analysis with patent-to-paper citations. Our findings have policy implications for improving regional innovation systems with various actors.