Remotely sensed nighttime lights reveal China's urbanization process restricted by haze pollution

Liu, Shirao; Shi, Kaifang; Wu, Yizhen; Chang, Zhijian

doi:10.1016/j.buildenv.2021.108350

Cited by 18 publications

(5 citation statements)

References 57 publications

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“…On the contrary, NTL data can distinguish urban areas from dark rural areas, comprehensively reflect the basic information of human activities at night, and exclude the interference of human factors [ 52 ]. In addition, many scholars have proved the rationality of NTL data to represent urbanization [ 60 , 61 ].…”

Section: Methodsmentioning

confidence: 99%

Impact of Coastal Urbanization on Marine Pollution: Evidence from China

Zhang

2022

IJERPH

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The increasing marine pollution in China’s coastal areas has seriously affected the sustainable development of the economy and the living standards of residents. It is of great significance to explore the relationship between urbanization and marine pollution in coastal areas for the sustainable development of coastal cities. Based on the marine pollution data and nighttime light (NTL) data of 46 coastal cities from 2006 to 2015, the paper discusses the impact of urbanization on marine pollution by using the generalized spatial two-stage least square method (GS2SlS), and analyzes the role of technological innovation, financial development, and human capital in the impact of urbanization on marine pollution by using the three-stage least square method (3SLS). Results show that China’s coastal marine pollution has a strong spatial spillover effect, and a U-shaped relationship exists between urbanization and marine pollution. Regional heterogeneity analysis shows that an inverted U-shaped relationship was found between coastal urbanization and marine pollution in the northern marine economic circle, while the eastern and southern marine economic circles have a U-shaped correlation. The heterogeneity of the urbanization pattern indicates that the relationship between different urbanization patterns and marine pollution in coastal areas is generally in a positive correlation stage, but the depth of urbanization occupies a dominant position. Further mechanism tests show that urbanization can effectively reduce coastal marine pollution and improve the marine environment through the technological innovation effect, financial development effect, and human capital effect.

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Section: Methodsmentioning

confidence: 99%

Impact of Coastal Urbanization on Marine Pollution: Evidence from China

Zhang

2022

IJERPH

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“…This is mainly related to the growth of urbanization in China, as can be seen from the statistical yearbooks and other economic development data for the study area. The study area and surrounding towns have also been affected by rapid urbanization, with the urbanization rates of county-level administrative units included in the study area and surrounding towns being 46.26% and 48.51% respectively as of 2019, an increase of more than 10% over the decade [39][40][41]. The high urbanization rate is accompanied by a large influx of people into towns and cities, which leads to a surge in demand for urban construction land, resulting in the expansion and even proliferation of construction land, whereas the spatial proximity of farmland to towns and cities makes it inevitable that the expansion of towns and cities will take up some of the farmland, which is the same as the results of previous studies [44,43].…”

Section: Impact Of Land-use Change On the Spatial Distribution Of Eco...mentioning

confidence: 99%

Cross-sensitivity Analysis of Land Use Transition and Ecological Service Values in Rare Earth Mining Areas in Southern China

Zhu,

Chen,

Wan

et al. 2023

Preprint

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Rare earth resources are important national strategic resources, and the mining process will change the original land use types, and it will have a certain impact on the ecosystem service values around the rare earth mining areas. To study the impact of land use changes on ecosystem service functions in rare earth mining areas, firstly, the land use change trends in the study area from 2009 to 2019 were analyzed using the land transfer matrix; then the distribution of ecosystem service values and the flow direction of ecosystem service values in the study area were measured based on the ecosystem service value equivalents; a spatial autocorrelation analysis was done on the ecosystem service values to explore their spatial distribution patterns; and finally, the cross-sensitivity coefficient was used to quantitatively assess the impact of land use changes on ecosystem service, the cross-sensitivity coefficient was used to quantitatively assess the extent and direction of the impact of land use change on ecosystem service values. The results show that the land use types in the study area are mainly forest land and farmland, with woodland accounting for the highest proportion of the study area. The ESV changes in the study area are consistent with the trend of land use transformation, with the overall increase and decrease being comparable, and the decrease in ESV is mainly concentrated in the areas with a large increase in mining land and construction land; during the study period, the study area was significantly reduced with low - low aggregation areas and the ecological environment was improved; from 2009 to 2011, the ecological sensitivity coefficient is more variable, and is more sensitive to the net conversion between water and desert, from 2014 to 2019, the ecological sensitivity coefficient is less variable, and the most sensitive is the net conversion between cultivated land and water. The study area should be reasonably developed for rare earth resources and the ecological environment around the mining area should be reasonably protected to build an ecological security pattern.

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“…Yang and Yan (2021) measured the impact of urban sprawl on haze pollution in terms of urban built-up area and urban utility occupancy and found a non-linear relationship between the two. Scholars have also found that population concentration has a spatial impact on haze pollution through scale and intensification effects, and that the expansion of urban population size exacerbates haze pollution (Li and Zhou et al,2012), including both direct and indirect effects (Feng and Wang, 2020), at the same time, China's rapid urbanisation has brought not only economic and population agglomeration, but also serious haze pollution, but the haze also had a significant impact on the level of urbanisation ( (Fan et al, 2019;Liu et al, 2021a). In addition, the development of land urbanization also increases haze pollution, but this effect is only manifested as an indirect effect (Yu X. et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Urban Sprawl and Haze Pollution: Based on Raster Data of Haze PM2.5 Concentrations in 283 Cities in Mainland China

Wang

Yang

Jiang

2022

Front. Environ. Sci.

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Incorporating the urban sprawl and its quadratic term into the analytical framework of the environmental Kuznets curve and considers the spatial and threshold effects of pollution, this paper used the raster data of haze PM2.5 concentrations in 283 cities in mainland China to verify the non-linear effects of urban sprawl on urban haze pollution. It finds that: the inter-city spillover effect of haze pollution is significant, and the environmental Kuznets curve holds on haze pollution; there is an inversed “U” relationship between urban population size and haze pollution; the enlarge of the urban built-up area of city would increase haze pollution significantly; the impact of urban population size on haze pollution has a threshold effect that it would decline with the urban built-up area expansion; the coordination between population urbanization and land urbanization has an notable effect on haze pollution that its incoordination in China’s urbanization has aggravated haze pollution in city and this impact would lagged 1–2 period in time.

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Remotely sensed nighttime lights reveal China's urbanization process restricted by haze pollution

Cited by 18 publications

References 57 publications

Impact of Coastal Urbanization on Marine Pollution: Evidence from China

Impact of Coastal Urbanization on Marine Pollution: Evidence from China

Cross-sensitivity Analysis of Land Use Transition and Ecological Service Values in Rare Earth Mining Areas in Southern China

Urban Sprawl and Haze Pollution: Based on Raster Data of Haze PM2.5 Concentrations in 283 Cities in Mainland China

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