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首页> 外文期刊>The Journal of grey system >Evolution Mechanism of Strategic Emerging Industrial Clusters Based on Hybridization of Grey Number and Optimized Scale-Free Network
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Evolution Mechanism of Strategic Emerging Industrial Clusters Based on Hybridization of Grey Number and Optimized Scale-Free Network

机译:基于灰度杂交的战略新兴产业集群的演变机制和优化无尺度网络

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摘要

Strategic emerging industrial cluster network as an important form of the current industrial development, with an intensive technological innovation, prominent economies of scale and knowledge spillovers, and other characteristics, is a symbol of strategic emerging industry formation and an effective model for its development. In this paper, the Logistic model is used to characterize the strategic emerging industry cluster's life cycle. Then, the scale-free evolution model being optimized based on the growth rate of strategic emerging industrial clusters and gray number being introduced, an evolution model of the strategic emerging industrial network is constructed considering the growth of innovators flow, the evolution process, and the stability state of the strategic emerging industrial cluster network are analyzed. Finally, an example is given to simulate and comparatively analyze the characteristics of the inflection point with the change of relevant parameters in the evolution process of the cluster network. The research results can provide some theoretical reference and guidance for the cultivation of strategic emerging industries.
机译:战略性新兴产业集群网络作为当前产业发展的重要形式,具有技术创新密集、规模经济和知识溢出突出等特点,是战略性新兴产业形成的标志和发展的有效模式。本文利用Logistic模型对战略性新兴产业集群的生命周期进行了描述。然后,基于战略性新兴产业集群的增长率和引入灰数对无标度演化模型进行优化,构建了考虑创新者流量增长的战略性新兴产业网络演化模型,分析了战略性新兴产业集群网络的演化过程和稳定性状态。最后,通过一个算例,对集群网络演化过程中拐点随相关参数变化的特征进行了模拟和对比分析。研究结果可为战略性新兴产业的培育提供一定的理论参考和指导。

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