Impact mechanism and optimization path of functional polycentricity of urban agglomerations on carbon emission performance: Configuration analysis based on multiple networks
This study analyzed how functional polycentric structures affect carbon emission performance across 12 representative urban agglomerations in China. By integrating configuration, space of flows, and total-factor productivity theories, the research mapped intercity factor flows across capital, population, technology, and information networks to identify three distinct spatial pathways that lead to high carbon efficiency.
Why it matters — It demonstrates that carbon emission performance is driven by the combined, synergistic effects of multi-dimensional functional networks rather than isolated spatial structures, offering tailored spatial planning strategies for urban agglomerations at different stages of maturity.
Caveat: The findings are based on a configuration analysis of 12 specific urban agglomerations in China, which may limit their direct applicability to different national or institutional planning contexts.