Dynamic multi-dimensional scaling of 30+ year evolution of Chinese urban systems: Patterns and performance

城市化 经济地理学 规模不经济 地理 缩放比例 城市规划 经济 区域科学 经济增长 生态学 数学 规模经济 微观经济学 几何学 生物
作者
Ying Ning,Shuguang Liu,Andrew R. Smith,Yi Qiu,Haiqiang Gao,Yonglong Lü,Wenping Yuan,Shuailong Feng
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:863: 160705-160705 被引量:10
标识
DOI:10.1016/j.scitotenv.2022.160705
摘要

Understanding the co-evolution and organizational dynamics of urban properties (i.e., urban scaling) is the science base for pursuing synergies toward sustainable cities and society. The generalization of urban scaling theory yet requires more studies from various developmental regimes and across time. Here, we extend the universality proposition by exploring the evolution of longitudinal and transversal scaling of Chinese urban attributes between 1987 and 2018 using a global artificial impervious area (GAIA) remotely sensed dataset, harmonized night light data (NTL), and socioeconomic data, and revealed agreements and disagreements with theories. The superlinear relationship of urban area and population often considered as an indicator of wasting land resources (challenging the universality theory βc = 2/3), is in fact the powerful impetus (capital raising) behind the concurrent superlinear expansion of socio-economic metabolisms (e.g., GDP, total wage) in a rapidly urbanizing country that has not yet reached equilibrium. Similarly, infrastructural variables associated with public services, such as hospitals and educational institutions, exhibited some deviations as well and were scaled linearly. However, the temporal narrowing of spatial deviations, such as the decline in urban land diseconomies of scale and the stabilization of economic output, clearly indicates the Chinese government's effort in charting urban systems toward balanced and sustainable development across the country. More importantly, the transversal sublinear scaling of areal-based socio-economic variables was inconsistent with the theoretical concept of increasing returns to scale, thus validating the view that a single measurement cannot unravel the intricate web of diverse urban attributes and urbanization. Our dynamic urban scaling analysis across space and through time in China provides new insights into the evolving nexus of urbanization, socioeconomic development, and national policies.
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