The contribution of socioeconomic factors to PM2.5 pollution in urban China

The contribution of socioeconomic factors to PM2.5 pollution in urban China PM2.5 pollution poses severe health risks to urban residents in low and middle-income countries. Existing studies have shown that the problem is affected by multiple socioeconomic factors. However, the relative contribution of these factors is not well understood, which sometimes leads to controversial controlling measures. In this study, we quantified the relative contribution of different socioeconomic factors, including the city size, industrial activities, and residents' activities, to PM2.5 pollution in urban China between 2014 and 2015 by using structural equation model (SEM). Our results showed that industrial activities contributed more to PM2.5 pollution than other factors. The city size and residents’ activities also had significant impacts on PM2.5 pollution. The combined influence of all socioeconomic factors could explain between 44% and 48% of variation in PM2.5 pollution, which indicated the existence of influences from other factors such as weather conditions and outside sources of pollutants. Findings from our study can contribute to a more comprehensive understanding of the socioeconomic causes of PM2.5 pollution. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Environmental Pollution Elsevier

The contribution of socioeconomic factors to PM2.5 pollution in urban China

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0269-7491
D.O.I.
10.1016/j.envpol.2017.09.090
Publisher site
See Article on Publisher Site

Abstract

PM2.5 pollution poses severe health risks to urban residents in low and middle-income countries. Existing studies have shown that the problem is affected by multiple socioeconomic factors. However, the relative contribution of these factors is not well understood, which sometimes leads to controversial controlling measures. In this study, we quantified the relative contribution of different socioeconomic factors, including the city size, industrial activities, and residents' activities, to PM2.5 pollution in urban China between 2014 and 2015 by using structural equation model (SEM). Our results showed that industrial activities contributed more to PM2.5 pollution than other factors. The city size and residents’ activities also had significant impacts on PM2.5 pollution. The combined influence of all socioeconomic factors could explain between 44% and 48% of variation in PM2.5 pollution, which indicated the existence of influences from other factors such as weather conditions and outside sources of pollutants. Findings from our study can contribute to a more comprehensive understanding of the socioeconomic causes of PM2.5 pollution.

Journal

Environmental PollutionElsevier

Published: Feb 1, 2018

References

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