管理评论 ›› 2023, Vol. 35 ›› Issue (1): 121-133.

• 创新与创业管理 • 上一篇    下一篇

大科学装置(集群)驱动型创新生态系统的理论模型与实证研究

李志遂1, 聂常虹2, 刘倚溪1, 贺舟1,3,4   

  1. 1. 中国科学院大学经济与管理学院, 北京 100190;
    2. 中国科学院动物研究所, 北京 100101;
    3. 中国科学院大数据挖掘与知识管理重点实验室, 北京 100190;
    4. 中国科学院大学数字经济监测预测预警与政策仿真教育部哲学社会科学实验室(培育), 北京 100190
  • 收稿日期:2020-07-31 出版日期:2023-01-28 发布日期:2023-02-27
  • 通讯作者: 刘倚溪(通讯作者),中国科学院大学经济与管理学院博士研究生
  • 作者简介:李志遂,中国科学院大学经济与管理学院博士研究生;聂常虹,中国科学院动物研究所博士生导师;贺舟,中国科学院大学经济与管理学院副教授,博士生导师,博士。
  • 基金资助:
    中国科学院科学传播课题媒体重点合作项目。

Innovation Ecosystem Driven by Large-scale Scientific Facilities (Clusters): A Theoretical Model and Empirical Research

Li Zhisui1, Nie Changhong2, Liu Yixi1, He Zhou1,3,4   

  1. 1. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    2. Institute of Zoology, Chinese Academy of Sciences, Beijing 100101;
    3. Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190;
    4. MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation at UCAS, Beijing 100190
  • Received:2020-07-31 Online:2023-01-28 Published:2023-02-27

摘要: 为了支撑国家可持续发展,我国正在建立宏大的创新体系。大科学装置是国家科技基础条件平台的重要组成部分。如何通过大科学装置(集群)促进创新生态系统高效发展成为当前亟待解决的关键问题。本研究实地调研了五省六地(天津滨海、上海张江、江苏太仓、安徽合肥、广东东莞、广东佛山)的创新生态系统,基于一手调研资料和创新生态系统理论构建了大科学装置(集群)驱动型创新生态系统的理论模型。该模型主要由创新、金融、政策三大群落构成,各群落有其独特的运行机制且彼此影响。为了论证该模型及其运行机制,本研究通过问卷调查收集了近百位专家学者、实践人士的意见,量化了理论模型中的重要细节并验证了其合理性和有效性。

关键词: 大科学装置(集群), 创新生态系统, 理论模型, 问卷调查

Abstract: China is establishing a grand innovation system for sustainable development of the country. Large-scale scientific facilities (LSF) is an important part of the essential national science and technology platform. So it is pressing to find how to promote the development of an LSF-driven innovation ecosystem. This paper investigates the innovation ecosystems in six places of five provinces (Binhai area in Tianjin, Zhangjiang area in Shanghai, Taicang city in Jiangsu, Hefei city in Anhui, Dongguan city in Guangdong and Foshan city in Guangdong). The theoretical model of LSF-driven innovation ecosystem is constructed based on the first-hand research data and related innovation ecosystem theory. The model is mainly composed of three communities: innovation community, finance community and policy community. We survey nearly 100 experts, scholars and practitioners through a questionnaire, quantify the important details of the theoretical model, and successfully verify its rationality and effectiveness.

Key words: large-scale scientific facilities (clusters), innovation ecosystem, theoretical model, questionnaire