产学研合作创新网络随机交互连通性研究——角色和地域多网络视角

›› 2019, Vol. 31 ›› Issue (8): 110-122.

产学研合作创新网络随机交互连通性研究——角色和地域多网络视角

李晨光, 赵继新

北方工业大学经济管理学院, 北京 100144

收稿日期:2016-12-07 出版日期:2019-08-28 发布日期:2019-09-11
通讯作者: 李晨光(通讯作者),北方工业大学经济管理学院讲师,硕士生导师,博士
作者简介:赵继新,北方工业大学经济管理学院教授,院长,硕士生导师,博士。
基金资助:
国家自然科学基金青年项目（71503011）；北京市社科基金青年项目（16GLC041）；北京市“高创计划”人才-青年拔尖人才个人资助（2017000026833ZS02）；北方工业大学青年科研创新基金（1743012）；北方工业大学科技创新工程计划项目（18XN151）。

Percolation Mechanism on University——Industry Cooperative Network: Network of Networks Perspective Study on the Role and Geography

Li Chenguang, Zhao Jixin

School of Economics and Management, North China University of Technology, Beijing 100144

Received:2016-12-07 Online:2019-08-28 Published:2019-09-11

摘要/Abstract

摘要：

鉴于产学研创新主体自由合作的交互关联，从角色和地域多网络视角，构建了随机交互网络连通生成函数模型。以京津冀生物医药产学研合作创新网络拓扑分析为基础，实证检验了模型有效性，并结合仿真比较分析了产学研合作创新网络连通机制与效果。研究表明：京津冀生物医药产学研合作创新网络的地域子网连通阈值低于角色子网连通阈值；高校、研究机构的知识原发和中介角色特点对于产学研合作创新网络连通具有突出的支撑作用，远高于企业间合作对网络连通的贡献；“塔式”效应是支撑跨域产学研合作创新网络连通性的重要因素；保护中等度数创新主体的策略能够有效抵御合作失灵风险，且连接概率大于65%时随机交互连通效果最佳。本文研究对于区域产学研合作创新管理、连通状态下创新结构调整，以及动态监控产学研合作创新网络健壮性具有重要启示。

关键词: 产学研合作创新网络, 网络连通性, 合作创新风险, 网络健壮性, 渗流

Abstract:

Connectivity is very important to University-Industry (U-I) cooperative network for R&D cooperation and technology spillover. Here, we introduce the percolation theory of network science, and we present a mathematical framework based on generating functions for analyzing an interacting network with any connection probability, from the role and geographical dual perspective. Then, we illustrate the percolation threshold and structural parameter arithmetic in the sub-critical and supercritical regimes to the Beijing-Tianjin-Hebei biomedical U-I cooperative network. By simulation analyzing, we compare the effects of different guarantee strategy. Empirical results show that regional percolation threshold is lower than the roles of the real U-I cooperative network; and compared with the contribution of cooperation between enterprises, universities and research institutes play a key role to network connectivity due to their original innovation and intermediary character; reliance within connection, Beijing and Tianjin U-I cooperative network shows a significant "Twin Towers" effect on the connectivity. We also find that the moderate degree protection strategy can grantee the network connectivity and particularly has a better effect when connecting probability is greater than 65%. The results from this study could be applied by government to regulate, control, restructure and monitor the network resilience.

Key words: university-industry cooperative network, connectivity, risk of cooperative innovation, network resilience, percolation

李晨光, 赵继新. 产学研合作创新网络随机交互连通性研究——角色和地域多网络视角[J]. , 2019, 31(8): 110-122.

Li Chenguang, Zhao Jixin. Percolation Mechanism on University——Industry Cooperative Network: Network of Networks Perspective Study on the Role and Geography[J]. , 2019, 31(8): 110-122.

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