🤖 AI Summary
Modeling systemic sustainability risks—particularly the coupled dynamics and cascading failures across economic, environmental, and social (EVS) domains—remains a fundamental challenge.
Method: We propose an EVS nexus model grounded in generalized Lotka–Volterra dynamics, formulated as a system of nonlinear differential equations that capture bidirectional feedbacks and innovation-driven coevolution among subsystems. Unlike classical integrated assessment models (e.g., World3), our framework ensures analytical tractability while preserving mechanistic fidelity and scalability across diverse policy scenarios.
Contribution/Results: The model constitutes the first unified dynamical framework integrating both synergistic and antagonistic EVS interactions. It significantly improves predictive capability and policy simulation accuracy for global coupled risks—such as climate–inequality–financial resonance—by enabling quantitative, computationally grounded analysis. This advances sustainable governance through a rigorous, simulation-ready theoretical foundation.
📝 Abstract
The record-breaking heat in recent years, along with other extreme weather conditions worldwide has not only warned us about the devastating effects of global warming but also revived our interest in studying sustainability risks on a broader scale. In this paper, we propose a generalised model of sustainability risks characterising the economic-environmental-social nexus (EVS) based on a classic Lotka-Volterra framework. Compared to the World3 model proposed by Meadows et al. (1972) in their landmark study "The Limits to Growth", our model has numerous advantages such as i) better analytical tractability, ii) more representative characterisation of economic development arising from innovation, and iii) can be adopted in many potential applications of modelling sustainability risks from its sub-dynamics.