基于复杂网络演化博弈的企业低碳创新合作行为网络演化机理研究

针对企业低碳创新合作所面临的复杂问题,基于现实复杂网络结构特征,运用演化博弈理论研究有限理性下企业低碳创新合作行为网络演化机理,利用Matlab仿真技术探究无标度网络载体上微观因素对低碳创新合作行为的影响。研究结果表明:低碳创新利益分配、协同效益和违约惩罚对低碳创新合作行为网络演化结果的影响最为显著,网络规模越大网络演化速度越慢,网络规模越小对协同系数和利益分配系数的敏感性越强,网络规模越大对技术溢出系数和违约惩罚的敏感性越强。研究结论可以为企业低碳创新合作策略制定提供解决依据。

Network Evolution Mechanism of Low Carbon Innovation Cooperation Behaviorin Enterprises Based on Evolutionary Game Theory on Complex Network

In view of the complex problems in low-carbon innovation cooperation faced by China's enterprises, evolutionary game theory is used to study the evolution mechanism of low carbon innovation cooperation behavior of enterprises under bounded rationality based on the characteristics of complex network structure. The Matlab simulation technology is employed to explore the impact of micro factors on the cooperative behavior of low-carbon innovation on scale-free network. The results show that the low-carbon innovation synergy benefit and default penalty and distribution of interests have a significant effect on the evolution of low carbon innovation cooperative behavior network. Network size is negatively related to network evolution velocity, and smaller scale networks are more sensitive to the synergistic coefficient and benefit distribution coefficient, and greater scale networks are more sensitive to the technology spillover coefficient and the default penalty. The conclusions provide a basis for the strategy formulation of low-carbon innovation cooperation.