我国生物医药产业创新集群演化动力机制研究--基于复杂适应系统理论  

Study on the Characteristics and Evolutionary Dynamics Mechanism of Innovation Clusters in Chinese Biomedical Industry : Based on Complex Adaptive Systems Theory

作　　者：李洁 葛燕飞 高丽娜 Li Jie;Ge Yanfei;Gao Lina(School of Health Economics and Management,Nanjing University of Chinese Medicine,Nanjing 210023,China;Zhejiang Provincial Tongde Hospital,Hangzhou 310012,China)

机构地区：[1]南京中医药大学卫生经济管理学院,江苏南京210023 [2]浙江省同德医院,浙江杭州310012

出　　处：《科技管理研究》2022年第3期176-183,共8页Science and Technology Management Research

基　　金：教育部人文社会科学研究一般项目“生物医药产业创新集群演化的动力机制与发展路径研究--基于CAS理论”(19YJA630034)。

摘　　要：基于复杂适应系统理论模型,分析生物医药创新集群的聚集、非线性、流、多样性特征以及标识机制、内部模型机制和积木机制。在此基础上建立回声模型分析集群主体的互动机制和集群系统的涌现机制。研究发现,生物医药产业创新集群具备复杂适应系统的所有特征;创新集群主体通过流空间网络实现交互学习和竞争合作博弈;交互学习为集群主体间产生合作创新提供可能,竞合博弈则决定主体间合作创新的结果;生物医药产业创新集群通过知识涌现和创新网络涌现进行系统功能与结构更新优化,实现其可持续发展和创新能力提升。It analyzes four complex adaptive system characteristics and three dynamics of biomedical industry innovation clusters, including aggregation, non-linear, flow, diversity, identification, internal model and building blocks. Echo model is established to analyze the interaction and emergence mechanism of cluster system. It is found that biomedical industry innovation cluster has all the characteristics of complex adaptive systems. The subjects of clusters realize interactive learning and competitive cooperative game through flow space network. Interactive learning provides the possibility of cooperative innovation between subjects, while competition and cooperation game determines the result of cooperative innovation between subjects.The biomedical industry innovation clusters update and optimize the system function and structure through knowledge emergence and innovation network emergence, then realize sustainable development and innovation ability improvement.

关 键 词：生物医药产业 创新集群 复杂适应系统理论 演化动力机制 

分 类 号：F424.4[经济管理—产业经济]