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Symbiotic evolution in regional green innovation ecosystems: A Lotka-Volterra model analysis of China's provincial

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  • Deng, Qinwen
  • Long, Yue

Abstract

The development of the regional green innovation ecosystem (RGIE) can boost the global economy and mitigate environmental risks. However, RGIE exhibits significant heterogeneity in actor interactions, resource allocation, and evolutionary pathways. This study integrates symbiosis theory to construct a tripartite RGIE framework involving the government (GOV), enterprises (ENT), and academic institutions (ACD), and applies the Lotka-Volterra model to qualitatively and quantitatively analyze the symbiotic relationships of RGIE in 30 provinces in China. The findings reveal that: (1) The symbiotic relationships primarily present three patterns: mutualism, parasitism, and competition. GOV-ENT primarily exhibits mutualistic symbiosis, GOV-ACD primarily shows parasitism, and ENT-ACD predominantly demonstrates competitive symbiosis. (2) Mutualistic symbiosis can maximize the development of t RGIE, while parasitic and competitive symbioses may lead to system instability or insufficient innovation drive. (3) Regional resource endowments and institutional environments shape the symbiotic paths. Coastal areas are more likely to achieve mutualistic equilibrium due to market-based coordination, whereas central and western regions are trapped in parasitic lock-ins due to resource misallocation. Based on these findings, differentiated policy tools are proposed: implementing green patent revenue feedback mechanisms in mutually beneficial regions, promoting green performance-based agreements in parasitic regions, and designing resource quota trading markets in competitive regions. This study provides empirical support for the government in formulating precise green innovation policies through the interdisciplinary integration of ecological models and policy design, and offers insights for the global optimization of green innovation ecosystems.

Suggested Citation

  • Deng, Qinwen & Long, Yue, 2025. "Symbiotic evolution in regional green innovation ecosystems: A Lotka-Volterra model analysis of China's provincial," Ecological Modelling, Elsevier, vol. 508(C).
    • Handle: RePEc:eee:ecomod:v:508:y:2025:i:c:s0304380025002303
    DOI: 10.1016/j.ecolmodel.2025.111244
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    1. Fabricia S. Rosa & Lorenzo Compagnucci & Rogerio J. Lunkes & Januário J. Monteiro, 2023. "Green innovation ecosystem and water performance in the food service industry: The effects of environmental management controls and digitalization," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5459-5476, December.
    2. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. Song, Yang & Sahut, Jean-Michel & Zhang, Zhiyuan & Tian, Yifan & Hikkerova, Lubica, 2022. "The effects of government subsidies on the sustainable innovation of university-industry collaboration," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    4. Ren, Xinhui & Wang, Jiarui, 2025. "Symbiotic evolution mechanism of urban air mobility industrial innovation ecosystem: Evidence from low altitude air mobility in Shenzhen," Journal of Air Transport Management, Elsevier, vol. 124(C).
    5. Chin, Tachia & Shi, Yi & Singh, Sanjay Kumar & Agbanyo, George Kwame & Ferraris, Alberto, 2022. "Leveraging blockchain technology for green innovation in ecosystem-based business models: A dynamic capability of values appropriation," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Bin He & Mengzhen Qi & Ning Wang & Zhenhua Zhang, 2022. "Avoiding Real Harm but False Good: The Influence Mechanism of Political Relations on the Effectiveness of Environmental Regulation Policies," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    7. Xueguo Xu & Hetong Yuan & Xue Lei, 2024. "From Technological Integration to Sustainable Innovation: How Diversified Mergers and Acquisitions Portfolios Catalyze Breakthrough Technologies," Sustainability, MDPI, vol. 16(24), pages 1-16, December.
    8. Yan Li & Yi Shi, 2022. "Dynamic Game Analysis of Enterprise Green Technology Innovation Ecosystem under Double Environmental Regulation," IJERPH, MDPI, vol. 19(17), pages 1-33, September.
    9. Lei, Xue & Xu, Xueguo, 2024. "Storm clouds over innovation: Typhoon shocks and corporate R&D activities," Economics Letters, Elsevier, vol. 244(C).
    10. Kunapatarawong, Rasi & Martínez-Ros, Ester, 2016. "Towards green growth: How does green innovation affect employment?," Research Policy, Elsevier, vol. 45(6), pages 1218-1232.
    11. Li Li & Hui Yong & Zhenhua Zhang, 2025. "The impact of two-way foreign direct investment on industrial green development: perspective of international cooperation on production capacity in China," Economic Change and Restructuring, Springer, vol. 58(2), pages 1-25, April.
    12. Shi, Qian & Lai, Xiaodong, 2013. "Identifying the underpin of green and low carbon technology innovation research: A literature review from 1994 to 2010," Technological Forecasting and Social Change, Elsevier, vol. 80(5), pages 839-864.
    13. Gomes, Leonardo Augusto de Vasconcelos & Facin, Ana Lucia Figueiredo & Salerno, Mario Sergio & Ikenami, Rodrigo Kazuo, 2018. "Unpacking the innovation ecosystem construct: Evolution, gaps and trends," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 30-48.
    14. Gignoux, Jacques & Davies, Ian D. & Flint, Shayne R., 2022. "3Worlds, a simulation platform for ecosystem modelling," Ecological Modelling, Elsevier, vol. 473(C).
    15. Wang, Zhongcheng & Li, Xinyue & Xue, Xinhong & Liu, Yahuan, 2022. "More government subsidies, more green innovation? The evidence from Chinese new energy vehicle enterprises," Renewable Energy, Elsevier, vol. 197(C), pages 11-21.
    16. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
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