基于企业竞合网络的产业创新集聚计算实验研究

Computational Experiment of Industry Innovation Cluster with Competition and Cooperation in Inter-companies Network

摘要:

考虑企业间的复杂交互网络以及竞合行为对企业创新收益的影响,采用粒子群算法及计算实验方法构建了产业创新集聚的演化模型,研究了企业竞合半径以及网络度对产业创新集聚的影响,旨在为促进产业创新集聚的形成与良性发展提供理论依据。实验结果表明：合作创新是推动产业创新集聚规模突破瓶颈的关键要素；较大的竞合半径会对产业创新集聚的规模以及地理位置上的集中程度产生正向影响；而对行业内市场集中度的最大值产生负向影响；提高网络合作度能够在一定程度上对产业创新集聚规模的发展速度以及空间集聚的速度产生正向影响。

Abstract:

Considering the complex interaction network, as well as the competition and cooperation between enterprises, we construct the industrial innovation cluster model by using the particle swarm optimization algorithm. Some factors are studied, like enterprise competition radius and network degree. This study aims at promoting formation and development of industry innovation cluster. Results show that, cooperative innovation is the key factor to break the bottleneck for enhancing industrial development scale. Larger radius of competition produces positive influence on scale and geographical concentration of industry innovation agglomeration, and it has negative influence on the maximum of market concentration. Larger degree of cooperate network, to some extents, can improve speed of development and speed of spatial agglomeration of industrial innovation cluster.