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Green innovation ecosystem evolution: Diffusion of positive green innovation game strategies on complex networks
Journal of Innovation & Knowledge ( IF 15.6 ) Pub Date : 2024-05-27 , DOI: 10.1016/j.jik.2024.100500 Ren-Jie Zhang , Hsing-Wei Tai , Zheng-Xu Cao , Chia-Chen Wei , Kuo-Tai Cheng
Journal of Innovation & Knowledge ( IF 15.6 ) Pub Date : 2024-05-27 , DOI: 10.1016/j.jik.2024.100500 Ren-Jie Zhang , Hsing-Wei Tai , Zheng-Xu Cao , Chia-Chen Wei , Kuo-Tai Cheng
The essence of the evolution of the green innovation ecosystem is the process by which the positive strategy of green innovation spreads in a complex network. In this study, the "Object-Technology-Environment-Management-Culture (OETMC)" structure paradigm of innovation ecosystems is presented, and a causal analysis framework of green innovation ecosystem evolution based on green innovation behavior strategy, supported by green innovation efficiency and focused on green innovation ecosystems is developed. Based on this framework, the structure of the green innovation ecosystem and the diffusion process of positive green innovation in the network are discussed. The results reveal the following. (1) The complexity of the green innovation ecological network has visibly improved, but numerous blank connections remain. These are the key constraints that hinder structural evolution. (2) The appearance of a large number of long-range connections weakens the constraint of geographical distance but also hinders edge nodes from joining the network. (3) The existence of preference attachment and power law distribution of the green innovation ecological network leads to the incomplete convergence of positive green innovation strategy at any initial strategy ratio. (4) Default cost and pollution tax rate ensure the enthusiasm of green innovation actors to seek innovation cooperation by increasing opportunity costs, thus accelerating the formation and reconstruction of the green innovation ecological network. These conclusions provide a decision-making reference for governments to encourage green innovation subjects to formulate targeted policies.
中文翻译:
绿色创新生态系统演化:复杂网络上积极绿色创新博弈策略的扩散
绿色创新生态系统演化的本质是绿色创新积极策略在复杂网络中传播的过程。本研究提出了创新生态系统“对象-技术-环境-管理-文化(OETMC)”的结构范式,提出了基于绿色创新行为策略、以绿色创新效率和绿色创新为支撑的绿色创新生态系统演化因果分析框架。重点发展绿色创新生态系统。基于此框架,讨论了绿色创新生态系统的结构以及积极的绿色创新在网络中的扩散过程。结果揭示了以下内容。 (一)绿色创新生态网络复杂度明显提升,但仍存在大量空白连接。这些是阻碍结构演化的关键制约因素。 (2)大量远程连接的出现削弱了地理距离的约束,但也阻碍了边缘节点加入网络。 (3)绿色创新生态网络偏好依附和幂律分布的存在导致任意初始策略配比下正向绿色创新策略不完全收敛。 (4)违约成本和污染税率通过增加机会成本,保证绿色创新主体寻求创新合作的积极性,从而加速绿色创新生态网络的形成和重构。这些结论为政府鼓励绿色创新主体制定有针对性的政策提供决策参考。
更新日期:2024-05-27
中文翻译:
绿色创新生态系统演化:复杂网络上积极绿色创新博弈策略的扩散
绿色创新生态系统演化的本质是绿色创新积极策略在复杂网络中传播的过程。本研究提出了创新生态系统“对象-技术-环境-管理-文化(OETMC)”的结构范式,提出了基于绿色创新行为策略、以绿色创新效率和绿色创新为支撑的绿色创新生态系统演化因果分析框架。重点发展绿色创新生态系统。基于此框架,讨论了绿色创新生态系统的结构以及积极的绿色创新在网络中的扩散过程。结果揭示了以下内容。 (一)绿色创新生态网络复杂度明显提升,但仍存在大量空白连接。这些是阻碍结构演化的关键制约因素。 (2)大量远程连接的出现削弱了地理距离的约束,但也阻碍了边缘节点加入网络。 (3)绿色创新生态网络偏好依附和幂律分布的存在导致任意初始策略配比下正向绿色创新策略不完全收敛。 (4)违约成本和污染税率通过增加机会成本,保证绿色创新主体寻求创新合作的积极性,从而加速绿色创新生态网络的形成和重构。这些结论为政府鼓励绿色创新主体制定有针对性的政策提供决策参考。