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Jiang, Z., Song, J. and Zhao, X. (2026) Research on the Urban Carbon Reduction Effect and Impact Mechanism of Regional Collaborative Innovation: An Quasi-Natural Experiment Based on the G60 Science and Technology Innovation Corridor in the Yangtze River Delta. Journal of Cleaner Production, 539, Article 147115.
https://doi.org/10.1016/j.jclepro.2025.147115

has been cited by the following article:

• TITLE: Computer Simulation of Knowledge Transfer Dynamics in a Spatial Innovation Ecosystem: Evidence from the Chengxi Sci-Tech Innovation Corridor, Hangzhou

  AUTHORS: Niyonkuru Theophile

  KEYWORDS: Knowledge Transfer, Spatial Innovation Ecosystem, Innovation Corridor, Agent-Based Modeling, System Dynamics

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.16 No.5, May 25, 2026

  ABSTRACT: Science and technology innovation corridors concentrate innovation resources, organize knowledge flows, and accelerate technology commercialization. Yet, the dynamic mechanisms linking spatial structure and knowledge transfer remain underexplored. Using the Chengxi Sci-Tech Innovation Corridor in Hangzhou as a case, this study develops a hybrid simulation framework combining Agent-Based Modeling and System Dynamics. Universities, research institutes, firms, startups, intermediary platforms, and government actors are modeled as heterogeneous agents, while System Dynamics captures macro-level feedback among policy, talent, knowledge stock, and innovation output. Scenario simulations show that knowledge transfer is jointly shaped by spatial proximity, actor heterogeneity, absorptive capacity, trust, network structure, and policy support. Combined optimization yields the strongest long-term improvement, suggesting coordinated spatial, network, and institutional interventions are crucial.