EventsThe 1st International Online Conference on Urban Sciences
Published
This submission belongs to the session S6. Urbanization and Social Development of the event The 1st International Online Conference on Urban Sciences
Published date
15 May, 2026
Academic Editor
author-avatarTeodoro Georgiadis
Citation
Chuanyang Pan, Yun Liu, Yuanqi Jiang, Spatial Differentiation and Multi-Scale Drivers of County-Level Urbanization in China, in Proceedings of The 1st International Online Conference on Urban Sciences, 20 May–22 May 2026, MDPI: Basel, Switzerland
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Spatial Differentiation and Multi-Scale Drivers of County-Level Urbanization in China

Chuanyang Pan 1
Yun Liu 1
Yuanqi Jiang 1
1. Department of Landscape Architecture, College of Horticulture, China Agricultural University, Beijing 100193, China, China
Abstract

Under the framework of new-type urbanization and balanced regional development, counties have become pivotal spatial units linking urban expansion with socio-economic transformation. As fundamental carriers of population redistribution and industrial restructuring, county-level territories play a critical role in shaping China’s evolving urban system. However, existing studies primarily focus on prefectural or metropolitan scales and often rely on global or single-scale models, thereby overlooking spatial heterogeneity and scale-dependent effects in urbanization processes. Using county-level data for 2010 and 2020, this study investigates the spatial patterns and temporal dynamics of urbanization rates across China and explores their multi-scale driving mechanisms. First, spatial autocorrelation and distribution characteristics are examined to identify clustering and gradient structures. Subsequently, a Multi-Scale Geographically Weighted Regression (MGWR) model is employed to disentangle the scale-specific effects of natural conditions, economic development, infrastructure provision, demographic structure, and institutional factors. The results reveal that (1) China’s county-level urbanization rate increased significantly between 2010 and 2020, exhibiting a persistent east–west gradient and pronounced coastal agglomeration; (2) economic development and transportation accessibility are dominant drivers nationwide, while institutional and policy-related factors demonstrate stronger localized effects in central and western regions; and (3) different explanatory variables operate at distinct spatial scales, highlighting substantial spatial heterogeneity in the mechanisms underlying urbanization. This study contributes to a more nuanced understanding of county-level urbanization within the broader urbanization and social development process and provides empirical evidence for differentiated and place-based urbanization policies aimed at promoting coordinated regional development.

Keywords
Urbanization process
Spatial heterogeneity
Multi-scale geographically weighted regression (MGWR)
Driving mechanisms
China
Oral Presentation
Poster
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