Modern Social Science Research

Objective To explore the systemic mechanisms of the development of my countrys aging economy and provide theoretical support and policy references for addressing the challenges of an aging population. Methods We structured aging economic capabilities in a multidimensional manner within the framework of complex system dynamics theory. Using a system dynamics model, we analyzed the dynamic interactions of multiple factors in the development of the aging economy from multiple perspectives. Through literature analysis, data collection, and model construction, we explored the key influencing factors of the aging economy and their dynamic relationships. Using system simulation, we deeply analyzed the interaction mechanisms and sensitivities of each subsystem. We also conducted strategy simulations and evaluations for my countrys aging economy. Results Key factors influencing aging economic capabilities and their dynamic pathways were identified: labor optimization > high-quality services > digital transformation in the market environment; consumption transformation > regional differences in industrial development; and legacy planning was the most prominent driver among consumers. Simulations revealed that the industrial development subsystem had the strongest driving force. Conclusion Improving aging economic capabilities requires a comprehensive strategy that coordinates policy, industry, and individual initiatives, building a sustainable aging economic system based on social support networks. Further empirical research is needed in the future.

Aging economy; Social support network; Structural equation model; System dynamics