PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 28, 2026Sustainability0 citationsOpen Access

Stability Analysis of Green Manufacturing Innovation Ecosystem Based on Symbiotic Stochastic Evolutionary Game

View Full Paper
NLNa LiYWYue Wang

Key Points

  • The study aims to identify the essential mechanisms that influence the stability of the green manufacturing innovation ecosystem.
  • Utilized the Lotka–Volterra model to analyze stochastic evolutionary processes.
  • Examined various symbiotic interaction models, including mutualistic, competitive, parasitic, and commensal.
  • Conducted quantitative analyses to assess ecosystem resilience and stability.
  • Mutualistic symbiosis demonstrates greater stability compared to other interaction models.
  • The return time for mutualistic ecosystems is shorter, indicating higher effectiveness in fostering growth.
  • Complex participant interactions, including competitive and parasitic dynamics, were identified as influencing overall ecosystem resilience.

Abstract

In the modern era, the green manufacturing innovation ecosystem is vital for promoting sustainable development. It significantly contributes to achieving carbon peak and carbon neutrality goals. Current research regarding the coevolution of the green manufacturing innovation ecosystem predominantly utilizes deterministic models. These models do not account for the inherent stochasticity present in interactions within the innovation ecosystem, and they also neglect quantitative analyses pertaining to ecosystem resilience and stability mechanisms. This study explores the core mechanisms that drive the stability of the green manufacturing innovation ecosystem. It is based on theories of ecology and innovation. This study employs the Lotka–Volterra model to characterize the stochastic evolutionary process of symbiotic interactions among innovation groups. Compared to deterministic models, the stochastic approach has significant advantages. It captures the inherent uncertainties of human behavior and subjective decision-making. Additionally, it accounts for dynamic environmental changes. This approach provides more realistic insights into the evolution of green manufacturing innovation ecosystems amid complex conditions. The findings yield three key conclusions. First, the mutualistic symbiosis model is more stable than other models. This includes independent, competitive, parasitic, and commensal symbiosis models. This stability underscores the mutualistic model’s critical role in sustaining the ecosystem’s development. Second, the return time for a mutualistic symbiosis ecosystem is notably shorter than for a stochastic interaction ecosystem. This indicates that mutualistic symbiosis is more effective in fostering growth within the green manufacturing innovation ecosystem. Third, participant relationships in this ecosystem are complex. They encompass competitive, parasitic, and commensal dynamics, among others. Furthermore, the ecosystem’s resilience improves as the rate of mutually beneficial interactions increases. These findings provide direct policy and management guidance for optimizing the symbiotic mechanisms of green manufacturing innovation ecosystems, enhancing ecosystem resilience, and advancing carbon peaking and carbon neutrality goals.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69a2877b0a974eb0d3c03367https://doi.org/10.3390/su18052243
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Dynamical Analysis of Supply Chain Systems Under a Dynamic Game Framework Considering Green Technology Innovation2026
  2. 2Evolutionary Game Analysis of Green Innovation Behavior in Manufacturing Enterprises Under a Dual-Carbon Background: Evidence from China2026
  3. 3A dynamical analysis of supply chain systems under a dynamic game framework considering green technology innovation2025
  4. 4Green innovation ecosystem evolution: Diffusion of positive green innovation game strategies on complex networks2024 · 59 citations
  5. 5Evolutionary game analysis of the green transformation of traditional manufacturing enterprise through digital enterprise and carbon accounts2026