Guiding Green Value Co‐Creation for Sustainable Industrial Production: A Policy Driven SD ‐ ABM Approach

Industrial sustainability increasingly depends on green‐oriented innovation ecosystems that enable manufacturers, consumers, and governments to co‐create green value. This study focuses on the green evolution dimension of industrial sustainability rather than a full three‐pillar sustainability assessment. The social dimension is operationalized only through stakeholder conditions that support green value co‐creation. To examine how policy guidance can reduce stakeholder conflicts and promote coordinated green evolution, this study identifies 21 policy factors from sustainability‐related literature and analyzes their causal interactions using the Grey‐DEMATEL method. An improved Logistic model is then developed to characterize evolutionary stages, and a coupled System Dynamics–Agent‐Based Modeling (SD–ABM) framework is constructed to simulate policy responses under dynamic stakeholder interactions. Using China's industrial sector as the empirical case, the results identify five evolutionary stages: Independent evolution, parasitic evolution, competitive evolution, asymmetric evolution, and value co‐creation. The baseline analysis shows that the current Chinese industrial system remains in the asymmetric evolution stage because stakeholder states improve over time but remain insufficiently synchronized. Scenario analysis further examines three representative policy variables associated with manufacturers, consumers, and government within the tested 5%–20% adjustment range. The results show positive system responses across the tested scenarios, but precise numerical differences among single policy effects should be interpreted cautiously. The more robust finding is that coordinated policy combinations produce stronger and more stable improvements than isolated single policy interventions. These findings provide policy insights for supporting SDG 9 through greener and more coordinated industrial production.