Agglomeration Shadow: A Non-Linear Core–Periphery Model of Urban Growth in China (1990-2006)

The core–periphery (CP) model lacks evidence from real data for the nonlinear relationship between distance to core and market potential. The process of industrialization, as well as the geographic diversity across cities, makes China suitable for practical application of the CP model.

The paper presented during the GDN’s 13th Annual Conference by Zheng Xu (University of Connecticut) by Uses Chinese city-level data from 1990 to 2006 to estimates the impact of spatial interactions in China’s urban system on urban economic growth, and fills the gap between CP model and reality. The results show that proximity to major ports and international markets is essential for urban growth. Moreover, the geography–growth relationship follows the ∽-shaped nonlinear pattern implied by the CP model, presenting the existence of agglomeration shadow.

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About Pier Andrea Pirani
Information, knowledge sharing and communications in international development - Social media and collaboration tools.

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