复杂适应系统视角下区域数字创新生态系统构建研究
Research on the Construction of Regional Digital Innovation Ecosystems from the Perspective of Complex Adaptive Systems

数字技术的快速发展推动了区域创新模式的深刻变革，区域数字创新生态系统已成为促进区域经济高质量发展的重要载体。本文以复杂适应系统(CAS)理论为基础，系统分析了区域数字创新生态系统的要素构成与运行特征，提出其由创新主体子系统、数字资源子系统与创新环境子系统三个相互协同的子系统构成；进一步指出，该生态系统具备多主体异质性、适应性学习能力、非线性交互特性、自组织涌现机制和动态开放平衡能力等典型的复杂适应系统特征。研究不仅为理解区域数字创新生态系统的动态演化机制提供了新的理论视角，也为区域政府、企业及科研机构制定有效的创新政策与战略提供了实践指导与理论依据。
The rapid development of digital technology has profoundly transformed regional innovation paradigms, making regional digital innovation ecosystems an essential driver for high-quality regional economic development. Grounded in the theory of Complex Adaptive Systems (CAS), this paper systematically analyzes the structural components and operational characteristics of regional digital innovation ecosystems. It proposes that such ecosystems comprise three interrelated subsystems: the innovation subject subsystem, the digital resource subsystem, and the innovation environment subsystem. Furthermore, it identifies key CAS features embodied in these ecosystems, including multi-agent heterogeneity, adaptive learning, nonlinear interactions, self-organization and emergence, and dynamic open equilibrium. This study not only offers a new theoretical lens to understand the dynamic evolution mechanisms of regional digital innovation ecosystems, but also provides practical guidance and theoretical foundations for regional governments, enterprises, and research institutions in formulating effective innovation policies and strategies.