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Dynamic evolution game of regional innovation ecosystem with multiple actors under digitalization
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DOI:10.3389/fphy.2026.1740603.png)
Abstract
En 中文
Regional innovation ecosystems play a crucial role in advancing national innovation capacity. However, the question of how to foster sustained collaborative innovation among diverse actors within these ecosystems under digitalization remains underexplored. This study aims to investigate the dynamic mechanisms and key factors influencing synergistic innovation behavior among multiple stakeholders in digitally enabled regional innovation ecosystems. Drawing on evolutionary game theory, we develop a tripartite game model involving core enterprises, complementary parties, and the government. A simulation analysis is conducted using the Zhongguancun Science and Technology Park as a case context to examine the evolutionary trajectories of cooperation strategies. The results indicate that: (1) increasing the intensity of digital investment by innovation agents significantly enhances the stability and sustainability of the regional innovation ecosystem; (2) core enterprises can stimulate cooperative innovation by providing incentives to complementary parties in the digital context; (3) innovation actors exhibit substantial positive spillover effects, facilitating the circulation and integration of digital resources and data elements; and (4) government subsidies and penalties positively influence system stability and accelerate the convergence of evolutionary dynamics. By integrating a digital perspective into the analysis of regional innovation ecosystems, this study contributes to theoretical discussions on innovation cooperation and provides practical insights for local governments seeking to improve synergistic mechanisms within digital innovation ecosystems. The findings also offer strategic references for promoting the sustainable development of regional innovation systems under digitalization.
Keywords:
collaborative innovation
complementary parties
core enterprises
digitalization
evolutionary game theory
Journal
F
IF:
2.1
Papers:
200
Citations:
0
