Spatial and temporal distribution of population in urban agglomerations changes in China

Lyu, Yanming; Jiang, Fangye

doi:10.1038/s41598-022-12274-6

Cited by 19 publications

(12 citation statements)

References 46 publications

(74 reference statements)

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“…This paper finds an interesting phenomenon: the SUHI effect is increasing in population shrinking region, while decreasing in growing region. Population agglomeration caused by rural-urban migration is one of the most important characteristic of urbanization [ 60 , 61 ]. Dense population usually induces a series of eco-environmental problems in urban regions, including SUHI effect [ 62 ].…”

Section: Discussionmentioning

confidence: 99%

Contrary to expectation: The surface urban heat island intensity is increasing in population shrinking region while decreasing in population growing region-A comparative analysis from China

Liu,

Zhang

2024

PLoS ONE

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Exploring the complex relationship between population change and surface urban heat island (SUHI) effect has important practical significance for the ecological transformation development of shrinking cities in the context of the prevalence of urban shrinkage and the global climate change. This paper compares the population change and SUHI effect between population shrinking region (Northeast Region, NR) and population growing region (Yangtze River Delta, YRD) in China, and explores their differences in driving mechanisms, using GIS spatial analysis and Geodetector model. Our results indicated that there are significant differences in population changes and SUHI intensity between these two regions. About 72.22% of the cities in the NR were shrinking, while their SUHI intensities increased by an average of 1.69°C. On the contrary, the urban population in the YRD shows a linear growth trend, while their SUHI intensities decreased by 0.11°C on average. The results of bivariate Moran’s I index also indicated that the spatial correlation between the urban population changes and the SUHI intensity changes are not significant in the above regions. Furthermore, there are significant differences in the primary drivers of SUHI variations between these two regions. In the NR, underlying surface changes, including the changes of green coverage and built-up areas, are the most important driving factors. However, atmospheric environment changes, such as carbon dioxide emission and sulfur dioxide emission, are the key drivers in the YRD. Northam’s theory of three-stage urbanization and environmental Kuznets curve hypothesis are powerful to explain these differences.

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Section: Discussionmentioning

confidence: 99%

Contrary to expectation: The surface urban heat island intensity is increasing in population shrinking region while decreasing in population growing region-A comparative analysis from China

Liu,

Zhang

2024

PLoS ONE

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“…Urban agglomeration is in the transitional period featuring gradual weakening of negative externalities, as the inter-city inequality index is increasing more and more slowly 40 , that is, 𝐼𝑁𝐸𝑄 ' > 0, but 𝐼𝑁𝐸𝑄 '' < 0. In the stage Ⅲ, the marginal benefits of peripheral cities are greater than those of central cities, and the central cities promote the flow of production factors such as capital, labor and technology to the periphery through industrial interaction and complementary advantages 41 , positive externalities begin to appear, and the inter-city inequality in urban agglomeration gradually narrows.…”

Section: The Relationship Between Uap and Regional Inequalitymentioning

confidence: 99%

The Double-edged Effect of Urban Agglomeration on Regional Inequality

Tong,

Yang,

Chen

2024

Preprint

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Urban agglomeration, the trend and main carrier of future urbanization in the world, plays an important role in integrating regional resources and promoting economic growth. In particular, in some countries, urban agglomeration has become a policy tool for high-quality urbanization. However, does urban agglomeration play an equally positive role in reducing regional inequality? Based on theoretical analysis and a quasi-natural experiment with the China’s pilot initiative of national urban agglomeration, we confirm that urban agglomeration policy has the reverse effect of exacerbating intra-city inequality and alleviating inter-city inequality in the early stage, with superposition results not significant on overall regional inequality. However, with the passage of policy exposure, the three types of regional inequality indices show inverted U-shaped changes, but the turning point times vary greatly. Further research finds that government intervention for local competition has a time-differentiated moderating effect on the regional inequality effect of urban agglomeration policy. Finally, we provide evidence-based policy recommendations aimed at maximizing policy benefits of urban agglomeration.

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“…The growth of night light in UAs is often related to factors such as population flow and topography in cities [44].…”

Section: Relationship Between Population Dem and Luminous Growthmentioning

confidence: 99%

Exploring the Spatial and Temporal Characteristics of China’s Four Major Urban Agglomerations in the Luminous Remote Sensing Perspective

et al. 2023

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This study addresses the knowledge gap regarding the spatiotemporal evolution of Chinese urban agglomerations using long time series of luminescence remote sensing data. The evolution of urban agglomerations is of great significance for the future development and planning of cities. Nighttime light data provide a window for observing urban agglomerations’ characteristics on a large spatial scale, but they are affected by temporal discontinuity. To solve this problem, this study proposes a ridge-sampling regression-based Hadamard matrix correction method and constructs consistent long-term nighttime light sequences for China’s four major urban agglomerations from 1992 to 2018. Using the Getis-Ord Gi* hot-cold spot, standard deviation ellipse method, and Baidu search index, we comprehensively analyze the directional evolution of urban agglomerations and the correlations between cities. The results show that, after correction, the correlation coefficient between nighttime light intensity and gross domestic product increased from 0.30 to 0.43. Furthermore, this study identifies unique features of each urban agglomeration. The Yangtze River Delta urban agglomeration achieved balanced development by shifting from coastal to inland areas. The Guangdong-Hong Kong-Macao urban agglomeration developed earlier and grew more slowly in the north due to topographical barriers. The Beijing-Tianjin-Hebei urban agglomeration in the north has Beijing and Tianjin as its core, and the southeastern region has developed rapidly, showing an obvious imbalance in development. The Chengdu-Chongqing urban agglomeration in the inland area has Chengdu and Chongqing as its dual core, and its development has been significantly slower than that of the other three agglomerations due to the influence of topography, but it has great potential. Overall, this study provides a research framework for urban agglomerations based on four major urban agglomerations to explore their spatiotemporal characteristics and offers insights for government urban planning.

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Spatial and temporal distribution of population in urban agglomerations changes in China

Cited by 19 publications

References 46 publications

Contrary to expectation: The surface urban heat island intensity is increasing in population shrinking region while decreasing in population growing region-A comparative analysis from China

Contrary to expectation: The surface urban heat island intensity is increasing in population shrinking region while decreasing in population growing region-A comparative analysis from China

The Double-edged Effect of Urban Agglomeration on Regional Inequality

Exploring the Spatial and Temporal Characteristics of China’s Four Major Urban Agglomerations in the Luminous Remote Sensing Perspective

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