The fragmentation of resources, ecological imbalance, and the disintegration of essential factors in modern urban–rural development have become core bottlenecks constraining the achievement of global sustainable development goals. Existing research often focuses on static analysis or single-dimensional exploration, making it difficult to fully reveal the evolutionary patterns of urban–rural sustainable development systems and the core mechanisms of digital empowerment. This study adopts ecological wisdom as a theoretical perspective, introduces system dynamics methods, and constructs a three-dimensional linkage system simulation model of digital technology, factor circulation, and ecological wisdom capital. Based on model simulation data, a 70-year long-cycle simulation is conducted to explore the leverage effect of digital technology and the self-organizing evolutionary mechanisms of the system. The findings are as follows: First, the transformation of urban–rural sustainable development from fragmentation to synergy is essentially a self-organizing phase transition process. Within the system, digital technology, factor circulation, and ecological wisdom capital form a mutually beneficial symbiotic relationship through positive feedback mechanisms, driving the system toward higher-order evolution. Second, key variables such as community participation, urban–rural ecological resilience, and development pressure exhibit significant threshold effects. Only when the investment scale and institutional guarantees for these variables reach critical values can the system’s path dependence be broken, significantly driving synergistic transformation. Third, as an exogenous lever, digital technology can break down barriers to factor segmentation, reduce energy loss during system transformation, and achieve systematic integration of urban–rural resources, public services, and ecological capital with lightweight investment, serving as the core breakthrough for promoting synergistic transformation. This study integrates ecological wisdom and digital technology into the system dynamics analysis framework of urban–rural synergistic transformation, clarifies the dynamic transmission pathways of digital technology empowering urban–rural synergy, overcomes the limitations of traditional static research, enriches the cross-disciplinary application of ecological wisdom and system dynamics in the field of urban–rural development, and provides a scientific policy basis for the mutual construction of the digital economy, ecological protection, and urban–rural integration.

With the trend of global population aging and digital transformation, the problem of the digital divide among older adults has become increasingly serious. Narrowing the digital divide is a necessary way to improve the physical and mental health of older adults. Since the impact of the digital divide on the physical and mental health of older adults is a dynamic process involving feedback effects among multiple factors, this paper constructs a dynamic simulation model from the system dynamics perspective, and including variables such as digital literacy level, positive attitude toward aging, social network support intensity, and overall health and well-being. This study examines the feedback mechanisms by which digital divide affects the physical and mental health of older adults, overcoming the limitation of traditional empirical research in capturing dynamic interactions occurring within the system. The results show that the overall health and well-being of older adults increases 28% over the 100-month simulation period, showing an upward trend at first and then tends to stabilize. Sensitivity analysis indicates that the influence of policy support intensity, intensity of digital reverse mentoring in families, and digital device age-friendly adaptation level on the overall health and well-being of older adults decreases in that order. Based on the results, this paper identifies positive attitude toward aging, social adaptability, and social network support intensity as mediating variables in the empowerment of older adults’ physical and mental health through digital technology, thereby enriching the application of system dynamics in the field of digital health.