TY - JOUR
T1 - Whither less is more? Understanding the contextual and configurational conditions of polycentricity to improve urban agglomeration efficiency
AU - Pan, Haozhi
AU - Yao, Yongling
AU - Ming, Yue
AU - Hong, Zhou
AU - Hewings, Geoffrey
N1 - Publisher Copyright:
© 2024
PY - 2024/6
Y1 - 2024/6
N2 - Polycentricity is at the core of the urban policy and planning debate on both city size and spatial configuration, but there is no conclusive evidence for how and when polycentricity can improve urban agglomeration efficiency. This study examines the impacts of polycentricity, as well as features of its spatial configurational, on urban agglomeration efficiency. An improved relative threshold method based on local isolines (IRT-LI) is developed to identify urban centers and sub-centers, and this indicator is regressed against agglomeration economic efficiency acquired through an input-output method—super-slack-based measure (Super-SBM). Taking 252 prefectural-level cities in China as examples, this study finds that polycentricity does not demonstrate any linear or U-Shape impact on the agglomeration economy efficiency of all cities, while the impacts become positive only when urban population and central city density surpass certain thresholds (population over 6 million and density over 6000 people/km2). Compactness in density and balance in the size of multiple centers are key spatial configurational features to improve economic efficiency, while the number of centers should only be increased for large size and high-density cities. Policymakers and planners are encouraged to limit polycentric planning only to megacities/mega-city-regions and combine compact, multi-functional, mixed land-use spatial configurations with polycentricity.
AB - Polycentricity is at the core of the urban policy and planning debate on both city size and spatial configuration, but there is no conclusive evidence for how and when polycentricity can improve urban agglomeration efficiency. This study examines the impacts of polycentricity, as well as features of its spatial configurational, on urban agglomeration efficiency. An improved relative threshold method based on local isolines (IRT-LI) is developed to identify urban centers and sub-centers, and this indicator is regressed against agglomeration economic efficiency acquired through an input-output method—super-slack-based measure (Super-SBM). Taking 252 prefectural-level cities in China as examples, this study finds that polycentricity does not demonstrate any linear or U-Shape impact on the agglomeration economy efficiency of all cities, while the impacts become positive only when urban population and central city density surpass certain thresholds (population over 6 million and density over 6000 people/km2). Compactness in density and balance in the size of multiple centers are key spatial configurational features to improve economic efficiency, while the number of centers should only be increased for large size and high-density cities. Policymakers and planners are encouraged to limit polycentric planning only to megacities/mega-city-regions and combine compact, multi-functional, mixed land-use spatial configurations with polycentricity.
KW - Agglomeration economies
KW - Economic efficiency
KW - Polycentricity
KW - Population density
KW - Urban spatial structure
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U2 - 10.1016/j.cities.2024.104884
DO - 10.1016/j.cities.2024.104884
M3 - Article
AN - SCOPUS:85187024594
SN - 0264-2751
VL - 149
JO - Cities
JF - Cities
M1 - 104884
ER -