| 基于CAS理论我国生物医药产业创新集群演化动力机制研究 |
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| 引用本文： | 李洁,葛燕飞,高丽娜.基于CAS理论我国生物医药产业创新集群演化动力机制研究[J].科技管理研究,2022(3). |
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| 作者姓名： | 李洁 葛燕飞 高丽娜 |
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| 作者单位： | 南京中医药大学卫生经济管理学院,南京中医药大学卫生经济管理学院,南京中医药大学卫生经济管理学院 |
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| 基金项目： | 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） |
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| 摘 要： | 研究我国生物医药产业创新集群演化动力机制，为促进我国生物医药产业创新能力提升提供决策依据。运用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、多样性特征与标识机制、内部模型机制和积木机制。在此基础上建立生物医药创新集群演化机制的回声模型，运用不完全信息下的重复静态博弈分析主体互动作用，并运用涌现模型分析系统涌现机制。生物医药产业创新集群是复杂适应系统，具备其所有特征；创新集群主体通过流空间网络实现交互学习并适应性调整自身行为；通过交互学习，创新集群主体产生了与其他主体合作创新的可能性，但是否真正实现合作创新取决于主体间竞争合作博弈的结果；涌现推动生物医药产业创新集群演化发展。涌现包括知识涌现和创新网络的涌现，通过涌现创新集群产生新的更优的系统功能和结构，可实现生物医药产业创新集群的可持续发展。
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| 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 |
| 收稿时间： | 2021/5/25 0:00:00 |
| 修稿时间： | 2021/9/11 0:00:00 |
A Study on the Characteristics and Evolutionary Dynamics Mechanism of Innovation Clusters in China |
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| Abstract: | It analyzes the evolution dynamic mechanism of China''s biomedical industry innovation cluster, so as to provide decision-making basis for promoting the innovation ability of China''s biomedical industry. It analyzes the 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. On this basis, the echo model of the formation mechanism of biomedicine innovation cluster is established. The repeated static game under incomplete information is used to analyze the interaction of subjects, and the emergence model is used to analyze the emergence mechanism of the system. Biomedical industry innovation cluster is a complex adaptive system with all its characteristics; The subjects of cluster can realize interactive learning and adaptively adjust their own behavior through flow space network; Through interactive learning, the subject has the possibility of cooperative innovation with other subject, but whether the policy decision depends on the result of competition and cooperation game among subjects; Emergence promotes the evolution of innovation clusters. Emergence includes the emergence of knowledge and innovation networks. Through the emergence, new and better system functions and structures are generated to realize the sustainable development of biomedical industry innovation clusters. |
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| Keywords: | Biomedical industry Innovation cluster Complex adaptive systems theory Evolutionary dynamics mechanism |
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