网络效率优化视角下的集群最优创新合作绩效

发布时间：2018-09-18 09:51

【摘要】：基于集群创新合作网络,建立集群主体的理性创新合作决策模型及合作网络的自组织演化机制,运用数值仿真方法研究网络的动态演化规律及最终形成的稳定状态网络,根据遗传算法原理优化计算得到最优效率网络。在不同的知识溢出效率水平下,比较分析稳定状态网络和最优效率网络的效率和公平性、基本拓扑结构特征以及集群主体创新合作的知识互补性。研究结果表明,合作网络会自组织演化至稳定状态;当知识溢出效率处于中等水平时,网络的自组织演化效率提升空间更大;稳定状态网络是小世界网络,最优效率网络更接近于随机网络;合作网络自组织演化的低效率源于合作不充分、缺乏高成本的远程合作关系、合作过于局部化、偏好连接下的合作规模非均衡性以及过分依赖知识互补性等因素。最后从网络效率优化的角度提出相应的提升集群创新合作绩效的政策建议。
[Abstract]:Based on the cluster innovation cooperation network, the rational innovation cooperation decision-making model of cluster agent and the self-organization evolution mechanism of cooperative network are established, and the dynamic evolution law of the network and the stable state network are studied by numerical simulation method. The optimal efficiency network is obtained by optimizing calculation according to the principle of genetic algorithm. At different levels of knowledge spillover efficiency, the efficiency and fairness of stable state network and optimal efficiency network, the characteristics of basic topology and the knowledge complementarity of innovation cooperation of cluster agents are compared and analyzed. The results show that the cooperative network evolves from organization to stable state; when the efficiency of knowledge spillover is at the middle level, the self-organization evolution efficiency of the network is improved, and the stable state network is a small-world network. The optimal efficiency network is more similar to the random network, and the low efficiency of self-organization evolution of cooperative network is due to insufficient cooperation, lack of high-cost long-distance cooperation relationship, and cooperation is too localized. The disequilibrium of cooperation scale and the over-reliance on knowledge complementarity under preference connection. Finally, from the angle of network efficiency optimization, the paper puts forward the corresponding policy recommendations to improve the performance of cluster innovation and cooperation.
【作者单位】：东北大学工商管理学院;沈阳化工大学经济与管理学院;
【基金】：国家自然科学基金(71001022,71201108,71371044) 中国博士后科学基金(20100471460,2013T60295)~~
【分类号】：F062.9;F224

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