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Cities· 2026Q1

Spatial patterns of urban population growth-shrinkage differentiation in China and their associations with multidimensional flow networks

Yifei Wang, Junxian Zhang, Zixian Wang, Pingjun Sun et al.

Short summary

In China (2020-2023), 66.4% of cities experienced population decline, with moderate shrinkage concentrated in the Northeast, while growth was uneven. Cities' positions in transportation, online attention, and patent networks correlate with population change, with hubs showing growth and peripheral cities shrinkage.

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Key points

  • 66.4% of 330 Chinese cities experienced population decline between 2020-2023, with slight shrinkage being the most common form (57.3%).
  • Moderate shrinkage was spatially concentrated (Northeast China), while population growth was geographically heterogeneous.
  • Transportation and innovation networks showed hierarchical structures, while online attention networks had broad but unequal connectivity.
  • Moderate shrinkage cities generally had lower positions in transportation and innovation networks compared to slight-growth cities.
  • Three city node types were identified: comprehensive hub–innovation-leading (mostly growth), regional hub–functional intermediary, and peripheral–weakly connected (mostly moderate shrinkage).

AI-generated from the title and abstract; the full text is not read.

Abstract

Urban population growth and shrinkage are intertwined with cities' positions in wider systems of intercity relations. This study examines 330 prefecture-level and above cities in China by combining population change during 2020–2023 with three intercity networks observed in 2023: transportation mobility, online-search attention, and patent collaboration. Spatial analysis and social network analysis are used to characterize population and network patterns, and statistical associations between population-change types and multidimensional network positions. Results show that: (1) Population decline was widespread but generally modest, with 219 cities (66.4%) recording decline and slight shrinkage accounting for 57.3% of the sample. Moderate shrinkage was more spatially concentrated, particularly in Northeast China, whereas growth was geographically heterogeneous. (2) The three networks display distinct structural characteristics. Transportation and innovation networks exhibit clearer hierarchical differentiation, while the online-search network has broad binary connectivity but greater inequality in attention intensity and intermediary positions. Population-change types also differ selectively across network measures: moderate-shrinkage cities generally occupy lower transportation and innovation positions, whereas slight-growth cities show higher mobility intensity and stronger innovation-network centrality. (3) Three multidimensional node types are identified: comprehensive hub–innovation-leading, regional hub–functional intermediary, and peripheral–weakly connected cities. Growth accounts for 70.4% of the first type, whereas moderate shrinkage is disproportionately concentrated in the third type. However, the coexistence of growth and shrinkage within each node type indicates a probabilistic rather than deterministic correspondence. These findings show that recent urban population differentiation is associated with multidimensional relational position in network-specific ways, it provided a structural basis for place-sensitive urban governance.

The authors' abstract, as published at the source. Cities, 2026 · DOI ↗

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Field: Urban Studies

Urban StudiesSocial Sciences