Responses of PM2.5 pollution to urbanization in China

Wang, Xiaomin; Tian, Guanghui; Yang, Dongyang; Zhang, Wenxin; Lu, Debin; Liu, Zhongmei

doi:10.1016/j.enpol.2018.09.001

Cited by 122 publications

(39 citation statements)

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“…Both the emissions and concentrations increased overall because of the high amount of energy consumption to satisfy the demand for continuous economic and population growth and the rapid urbanization and industrialization processes ( Li et al, 2016a ; Xu and Lin., 2018 ; Wang et al, 2018 ). Lower PM 2.5 emissions are generally observed at the end of the last century and the beginning of this century; this is because PM 2.5 emissions are mostly generated from anthropogenic activities, especially from energy consumption.…”

Section: Discussion and Policy Implicationsmentioning

confidence: 99%

A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations

Chuai

Xie³

et al. 2021

Journal of Environmental Management

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PM 2.5 is one of the most severe types of air pollution that threatens human health. Its emissions have a notable spillover effect once released into the atmosphere and transported. In domestic trade, PM 2.5 emissions can be indirectly imported from external regions. Thus, regional inequity caused by PM 2.5 needs to be integrated and comprehensively estimated. Based on PM 2.5 emissions/concentrations grid maps and an input-output model, this study first examined the temporal-spatial changes in PM 2.5 emissions/concentrations across China. Additionally, a detailed relationship between PM 2.5 emissions and concentrations was examined at multiple scales, both temporal and spatial. Finally, this study developed a new approach with which to evaluate regional inequity. The results show that PM 2.5 emissions and concentrations increased between 1990 and 2012 and 1998 and 2016, respectively; the increase was more obvious for PM 2.5 emissions. Spatially, a rapid increase in PM 2.5 emissions was observed in the North China Plain and the Sichuan Basin. Between 1998 and 2012, the distribution of PM 2.5 concentrations was similar to that of emissions; however, between 2013 and 2016, 46.6% of the total area showed a decrease, mainly in the central and southern parts of China. Relationship analysis revealed that PM 2.5 emissions and concentrations are closely correlated in both time and space. There was obvious regional inequity among provinces; developed regions always imported considerably more PM 2.5 emissions from undeveloped regions than they exported. Overall, the regional inequity estimation framework shows that provinces along the coastline, especially developed provinces, have advantages under the regional inequity estimation framework, while most of the inland regions have disadvantages, especially in the west and north.

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Section: Discussion and Policy Implicationsmentioning

confidence: 99%

A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations

Chuai

Xie³

et al. 2021

Journal of Environmental Management

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“…This may be related to the dual effects of population urbanization (PU) on PM 2.5 concentrations. Some scholars also pointed out that population urbanization (PU) and PM 2.5 concentrations presented an inverted U-shaped relationship in China [23]. Population urbanization (PU) was a dynamic process of the non-urban population constantly transforming into cities.…”

Section: A Explanation For Direct and Indirect Effects Of Multi-dimementioning

confidence: 99%

The Impact of Multi-Dimensional Urbanization on PM₂.₅ Concentrations in 261 Cities of China

Yang

Zhu

et al. 2020

IEEE Access

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Rapid urbanization has caused serious PM 2.5 pollution. The existing researches mainly focus on the contribution of one aspect of urbanization to PM 2.5 concentrations. However, few studies have comprehensively considered the direct and indirect effects of multi-dimensional urbanization on PM 2.5 concentrations. In order to identify the impact of multi-dimensional urbanization on PM 2.5 concentrations, the entropy-right method, the spatial lag model, spatial error model and spatial Durbin model were used to investigate the relationships between multi-dimensional urbanization and PM 2.5 concentrations in 261 cities of China in 2016. Results demonstrated that the spillover effect of PM 2.5 concentrations between different cities was significant. Economic urbanization had the strongest direct effect on PM 2.5 concentrations. Social urbanization and ecological urbanization had a significantly negative impact on PM 2.5 concentrations in local cities. However, the biggest indirect effect on PM 2.5 concentrations in adjacent cities was social urbanization, followed by land urbanization. The direct and indirect effects of population urbanization on PM 2.5 concentrations were non-significant and the least. The findings from this result analysis and discussion can be used as a theoretical basis to provide some policy suggestions for China's air governance and sustainable urban development. INDEX TERMS PM 2.5 concentrations, multi-dimensional urbanization, spillover effects, spatial regression model.

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“…First, continue to promote the regional collaborative management of PM 2.5 . Based on the spatial spillover effect of PM 2.5 , the control of PM 2.5 requires joint prevention [7]. After the outbreak of smog pollution, the Chinese government implemented strong measures to control haze pollution, including joint prevention and control of the Beijing-Tianjin-Hebei region.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

“…Li (2016) found that the cause of haze pollution in China was the backwardness of energy technologies, the higher proportion of coal consumption, and the greater proportion of heavy industries [6]. found that clean energy consumption had negative effects on PM2.5 concentrations in China [7].…”

Section: Introductionmentioning

confidence: 99%

Effect of Energy Development and Technological Innovation on PM_2.5 in China: A Spatial Durbin Econometric Analysis

Xiao-hong

2018

Discrete Dynamics in Nature and Society

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Using the panel data of 29 provinces and regions in China, this paper analyzes the temporal and spatial characteristics of PM2.5 concentration. The spatial Durbin model is used to empirically examine the impact of energy development and technological innovation on PM2.5. The results show that the interprovincial PM2.5 in China showed an inverted “N” trend. There is a spatial agglomeration of interprovincial PM2.5, and the spatial autocorrelation is significant. The spatial autoregression coefficients of adjacent weights and distance weights are significantly positive, and PM2.5 pollution in adjacent areas has a positive effect on the region. From the view of energy development, the increase in energy intensity will significantly increase the concentration of PM2.5 in adjacent areas, which will increase the global PM2.5 concentration. The increase in the proportion of coal consumption increases the concentration of PM2.5 in the region and globally. The increase in energy consumption prices will reduce the PM2.5 concentration in the region and globally. From the view of technological innovation, the increase in sales revenue of new products of industrial enterprises above the scale will reduce the concentration of PM2.5 in the region by 0.1285 percentage points and the concentration of PM2.5 in adjacent areas by 0.3058 percentage points, which will reduce the global PM2.5 concentration by 0.4343 percentage points. The increase in the number of granted patent applications will reduce the PM2.5 concentration of the adjacent regions and globally. The increasing level of infrastructure for technological innovation in the region will reduce the concentration of PM2.5 in adjacent areas. The increase in technical market turnover will reduce the concentration of PM2.5 in the region and the concentration of PM2.5 in adjacent areas, which will reduce the global PM2.5 concentration. In order to reduce the concentration of PM2.5 in China, we should continue to promote PM2.5 regional collaborative governance. In terms of energy development, it is necessary to reduce energy intensity, optimize energy structure, implement energy substitution, and rationalize energy prices. In terms of technological innovation, it is essential to increase sales revenue of new products of industrial enterprises, raise number of granted patent applications, vigorously improve level of infrastructure for technological innovation, and enhance technical market turnover.

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Responses of PM2.5 pollution to urbanization in China

Cited by 122 publications

References 50 publications

A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations

A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations

The Impact of Multi-Dimensional Urbanization on PM₂.₅ Concentrations in 261 Cities of China

Effect of Energy Development and Technological Innovation on PM_2.5 in China: A Spatial Durbin Econometric Analysis

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Responses of PM2.5 pollution to urbanization in China

Cited by 122 publications

References 50 publications

A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations

A new approach to evaluate regional inequity determined by PM2.5 emissions and concentrations

The Impact of Multi-Dimensional Urbanization on PM₂.₅ Concentrations in 261 Cities of China

Effect of Energy Development and Technological Innovation on PM2.5 in China: A Spatial Durbin Econometric Analysis

Contact Info

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Effect of Energy Development and Technological Innovation on PM_2.5 in China: A Spatial Durbin Econometric Analysis