Green innovation ecosystem evolution: Diffusion of positive green innovation game strategies on complex networks

IF 15.6 1区 管理学 Q1 BUSINESS Journal of Innovation & Knowledge 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
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Abstract

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.

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绿色创新生态系统的演变:复杂网络中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的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的 "对象-技术-环境-管理-文化(OETMC)"结构范式,建立了以绿色创新行为策略为基础、以绿色创新效率为支撑、以绿色创新生态系统为核心的绿色创新生态系统演化因果分析框架。在此框架基础上,讨论了绿色创新生态系统的结构和正向绿色创新在网络中的扩散过程。研究结果表明(1)绿色创新生态网络的复杂性明显提高,但仍存在大量空白连接。这些都是阻碍结构演化的关键制约因素。(2)大量远距离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)绿色创新生态网络存在偏好依附和幂律分布,导致在任何初始策略比率下,正向绿色创新策略的不完全收敛。(4)违约成本和污染税率通过增加机会成本保证了绿色创新主体寻求创新合作的积极性,从而加速了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了决策参考。
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来源期刊
CiteScore
16.10
自引率
12.70%
发文量
118
审稿时长
37 days
期刊介绍: The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.
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