scholarly journals How does the urbanization level change in the Yangtze River economic belt, China? A multi-scale evaluation using DMSP/OLS nighttime light data

2021 ◽  
Vol 675 (1) ◽  
pp. 012112
Author(s):  
Zhiyu Xu ◽  
Xiujuan He ◽  
Lin Chen ◽  
Xunxun Hu ◽  
Weiming Tang ◽  
...  
Keyword(s):  
Yangtze River ◽  
The Yangtze River ◽  
Urbanization Level ◽  
Scale Evaluation ◽  
Multi Scale ◽  
Level Change ◽  
Nighttime Light Data ◽  
Nighttime Light

scholarly journals Study on Urbanization Level, Urban Primacy and Industrial Water Utilization Efficiency in the Yangtze River Economic Belt

2019 ◽  
Vol 11 (23) ◽  
pp. 6571 ◽  
Author(s):  
Xuhui Ding ◽  
Zhu Fu ◽  
Hongwen Jia
Keyword(s):  
Yangtze River ◽  
Industrial Structure ◽  
Utilization Efficiency ◽  
Industrial Water ◽  
The Yangtze River ◽  
Urbanization Level ◽  
Water Utilization ◽  
Urban Primacy ◽  
Central Regions ◽  
Level Of Economic Development

Considering the undesirable output, this paper adopted the data envelopment analysis (DEA) model with the slack variable and super efficiency improvement, to measure industrial water utilization efficiency in the Yangtze River Economic Belt. The paper also creatively introduces urbanization level and urban primacy into driver factors’ estimation by stochastic and fixed Tobit models, exploring how urbanization characteristics affected the water utilization in regional industrial production. The results showed that industrial water efficiency has maintained an upward trend during the whole period, while most central and western provinces have shown a U-shaped trend of decreasing first and then rising. However, the industrial water utilization efficiency of central regions is the lowest, and the eastern regions are the highest, catching up with western regions. Utilization efficiency shows an overall convergence during the research period from 2005 to 2017. Regarding the factors’ estimation, both population urbanization and land urbanization negatively affected industrial water utilization efficiency, particularly blind expansion and disorderly development. The urban primacy meant the unbalance of urbanization, which would lead to urban diseases and pollution transfer, while the effects of urban primacy depended on the urbanization level. However, the utilization efficiency of industrial water did not become better automatically along with urbanization development; therefore, the scale and speed of urbanization should be scientifically formulated. The effects of the level of economic development, the advanced industrial structure, and the level of foreign investment are significantly negative.

How did the bacterial community respond to the level of urbanization along the Yangtze River?

2020 ◽  
Vol 22 (1) ◽  
pp. 161-172
Author(s):  
Yi Li ◽  
Luhuan Fan ◽  
Wenlong Zhang ◽  
Xiaoxiao Zhu ◽  
Mengting Lei ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Yangtze River ◽  
The Yangtze River ◽  
Urbanization Level ◽  
Bacteria Communities

The response of bacteria communities to the urbanization level.

scholarly journals The Spatial and Heterogeneity Impacts of Population Urbanization on Fine Particulate (PM2.5) in the Yangtze River Economic Belt, China

2019 ◽  
Vol 16 (6) ◽  
pp. 1058 ◽  
Author(s):  
Weiwei Xie ◽  
Hongbing Deng ◽  
Zhaohui Chong
Keyword(s):  
Air Pollution ◽  
Yangtze River ◽  
Spillover Effects ◽  
Empirical Literature ◽  
The Yangtze River ◽  
Urbanization Level ◽  
Fine Particulate ◽  
Heterogeneity Effects ◽  
Shape Curve ◽  
Population Urbanization

This paper addresses the effect of population urbanization on Fine Particulate (PM2.5) in the Yangtze River Economic Belt in China from 2006 to 2016 by employing PM2.5 remote sensing data and using the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model. The study contributes to the growing empirical literature by addressing heterogeneity, spillover, and dynamic effects in the dynamic spatial panel modeling process simultaneously. The empirical results show that population urbanization has a significant impact on PM2.5 with a positive spillover effect and a dynamic effect being detected and controlled. The heterogeneity effects of population urbanization on PM2.5 due to geographical positions show evidence of an obvious inverted U-shaped curve relationship in the upstream area and an increasing function curve in the midstream and downstream areas. The heterogeneity effects due to population urbanization levels show that an inverted N-shape curve relationship exists in low and medium urbanization level areas, while a U-shape curve relationship exists in high urbanization level areas. It is hoped that this study will inform the local governments about the heterogeneity of population urbanization and spillover effects of air pollution when addressing air pollution control.

scholarly journals Spatiotemporal Heterogeneity Analysis of Yangtze River Delta Urban Agglomeration: Evidence from Nighttime Light Data (2001–2019)

2021 ◽  
Vol 13 (7) ◽  
pp. 1235
Author(s):  
Min Yu ◽  
Shan Guo ◽  
Yanning Guan ◽  
Danlu Cai ◽  
Chunyan Zhang ◽  
...  
Keyword(s):  
Light Intensity ◽  
Urban Development ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Spatiotemporal Variability ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Spatiotemporal Heterogeneity

The long-term changes of the relationship between nighttime light and urbanization related built-up areas are explored using nighttime light data obtained from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS, data before 2013) and the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP/VIIRS, data after 2012) and information of the spatiotemporal heterogeneity of urban evolution. This study assimilates two datasets and diagnoses the spatial heterogeneity in administrative city scale based on built-up area tendencies, temporal heterogeneity in pixel scale based on nighttime light intensity tendencies, and GDP associated spatiotemporal variability over the Yangtze River Delta comparing the first two decades of this century (2001–2010 versus 2011–2019). The analysis reveals the following main results: (1) The built-up areas have generally increased in the second period with the center of fast expansion moving southward, including Suzhou-Wuxi-Changzhou, Hangzhou, Ningbo, Nanjing, and Hefei. (2) Urban development in the original city core has saturated and is spilling over to the suburbs and countryside, leading to nighttime light intensity tendency shift from a “rapid to moderate” and a “moderate to rapid” development (a “hot to cold” and a “cold to hot” spatial clustering distribution). (3) The tendency shifts of built-up area and nighttime light intensity occur most frequently in 2010, after which the urban development is transforming from light intensity growth to built-up area growth, particularly in the developed city cores. The urban agglomeration process with nighttime light intensity reaching saturation prior to the urban development spreading into the surrounding suburbs and countryside, appears to be a suitable model, which provides insights in addressing related environmental problems and contribute to regional sustainable urban planning and management.

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