Policy Pathways for Optimizing Urban Spatial Structure: Innovation and Sustainable Development
Over the past decades, China’s urban spatial structure has undergone profound transformations. The efficient organization of urban spaces is crucial for maximizing agglomeration effects, fostering innovation, and mitigating negative externalities such as traffic congestion and environmental pollution. Optimizing urban spatial structure is essential to enhancing productivity, unlocking new drivers of economic growth, and advancing sustainable development. In this study, we employ theoretical modeling to extend existing quantitative models of urban spatial structure and develop a theoretical framework tailored to China’s specific conditions and institutional context, integrating the micro-mechanisms of innovation agglomeration. Through empirical analysis, we calibrate and test the model to explore policy pathways that optimize urban spatial structure, stimulate innovation, improve efficiency, and enhance societal welfare.
