The effects of urbanization on PM2.5 concentrations in China's Yangtze River Economic Belt: New evidence from spatial econometric analysis

Zhu, Weiwei; Wang, Meichang; Zhang, Bingbing

doi:10.1016/j.jclepro.2019.118065

Cited by 114 publications

(71 citation statements)

References 34 publications

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“…Besides that, in our study, there are two factors that are not relevant: the proportions of secondary industry and built-up areas. However, in studies of 289 cities in China [37], YRD [36], Bohai Rim Urban Agglomeration [60], and PRD [61], it was shown that the proportions of secondary industry and built-up areas are significantly related to PM 2.5 . In fact, different types of cities will face different problems in the development process [62].…”

Section: Discussionmentioning

confidence: 98%

Spatial Econometric Analysis of the Impact of Socioeconomic Factors on PM2.5 Concentration in China’s Inland Cities: A Case Study from Chengdu Plain Economic Zone

Yang

Lan

2019

IJERPH

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Particulate matter with a diameter less than 2.5 µm (PM2.5), one of the main sources of air pollution, has increasingly become a concern of the people and governments in China. Examining the socioeconomic factors influencing on PM2.5 concentration is important for regional prevention and control. Previous studies mainly concentrated on the economically developed eastern coastal cities, but few studies focused on inland cities. This study selected Chengdu Plain Economic Zone (CPEZ), an inland region with heavy smog, and used spatial econometrics methods to identify the spatiotemporal distribution characteristics of PM2.5 concentration and the socioeconomic factors underlying it from 2006 to 2016. Moran’s index indicates that PM2.5 concentration in CPEZ does have spatial aggregation characteristics. In general, the spatial clustering from the fluctuation state to the stable low state decreased by 1% annually on average, from 0.190 (p < 0.05) in 2006 to 0.083 (p < 0.1) in 2016. According to the results of the spatial Durbin model (SDM), socioeconomic factors including population density, energy consumption per unit of output, gross domestic product (GDP), and per capita GDP have a positive effect on PM2.5 concentration, while greening rate and per capita park space have a negative effect. Additionally, those factors have identified spatial spillover effects on PM2.5 concentration. This study could be a reference and support for the formulation of more efficient air pollution control policies in inland cities.

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Section: Discussionmentioning

confidence: 98%

Spatial Econometric Analysis of the Impact of Socioeconomic Factors on PM2.5 Concentration in China’s Inland Cities: A Case Study from Chengdu Plain Economic Zone

Yang

Lan

2019

IJERPH

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“…For example, there was an inverted U-shaped or N-shaped relationship between economic urbanization and PM 2.5 concentrations in China [25]. Economic urbanization contributed a lot to PM 2.5 concentrations in China's Yangtze River Economic Belt [21]. Economic growth, fossil energy consumption, fuel consumption, and coal combustion were positively correlated with PM 2.5 concentrations [27]- [31].…”

Section: Can Not Onlymentioning

confidence: 98%

“…Firstly, population urbanization was often measured by a single index, namely the percentage of the urban population in the total population. Prior studies pointed out that PM 2.5 concentrations increased with the growth of population urbanization in China [20] and the Yangtze River Economic Belt of China [21]. However, the relationship between population urbanization and PM 2.5 concentrations varies with regions.…”

Section: Can Not Onlymentioning

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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“…Environmental pollution is a combined effect of industrialization and urbanization, resulting in a significant decline in the human health index [1,2]. Recently, the rapid increase of energy consumption directly spurred the enhanced emissions of various pollutants during the combustion of solid fuels.…”

Section: Introductionmentioning

confidence: 99%

Mn/Ce Oxides Decorated Polyphenylene Sulfide Needle-Punching Fibrous Felts for Dust Removal and Denitration Application

Chen

et al. 2020

Polymers

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Development of a novel filter material is urgently required for replacing the high-cost flue gas purification technology in the simultaneous removal of both fine dust and Nitrogen oxides (NOx). In this study; polyphenylene sulfide (PPS) needle-punching fibrous felts (NPFF) were employed as the filter material to remove the fine dust; and in the meanwhile; Mn and Ce oxides were loaded onto the PPS NPFF as the catalyst for selective catalytic reduction of NOx with NH3. Two different pretreatment methods; i.e., sodium alginate (SA) deposition and plasma treatment; were employed to modify the PPS NPFF before the traditional impregnation and thermal treatment processes during the catalyst loading. The results showed that these two pretreatment methods both afforded the PPS NPFF with the enhanced loading rate and stability of Mn/Ce oxides compared to those without any pretreatments; which were significantly beneficial for the denitration application. Moreover; we found that both SA deposition and plasma pre-treated samples presented excellent dust-removal properties; and the filtration efficiency could reach 100% when the particle size of the fine particulates was above 4 μm. This study demonstrated that our Mn/Ce oxides decorated PPS NPFF have great potential to be applied in the fuel gas purification field; due to their stable structure; handling convenience; and excellent filtration efficiency; as well as high denitration performance.

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The effects of urbanization on PM2.5 concentrations in China's Yangtze River Economic Belt: New evidence from spatial econometric analysis

Cited by 114 publications

References 34 publications

Spatial Econometric Analysis of the Impact of Socioeconomic Factors on PM2.5 Concentration in China’s Inland Cities: A Case Study from Chengdu Plain Economic Zone

Spatial Econometric Analysis of the Impact of Socioeconomic Factors on PM2.5 Concentration in China’s Inland Cities: A Case Study from Chengdu Plain Economic Zone

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

Mn/Ce Oxides Decorated Polyphenylene Sulfide Needle-Punching Fibrous Felts for Dust Removal and Denitration Application

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