Analysis of Factors Influencing PM2.5 in Beijing: A Microcosmic and Dynamic Perspective for Sustainable Development

2017 International Conference on Environmental, Industrial and Energy Engineering

生态环境科学;工业技术;能源学

Wang, Yani^1 ; Wang, Jun^1 ; Tao, Guiping^2

School of Economics and Management, Beihang University, Xueyuan Road 37, Haidian District, Beijing

100191, China^1

School of Statistics, Capital University of Economics and Business, Huaxiang Road 121, Fengtai District, Beijing

100070, China^2

关键词: Auto regression;    Causal relationships;    Dynamic effects;    Granger causality test;    Haze pollutions;    Impulse response functions;    Short periods;    Variance decomposition;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/104/1/012011/pdf
DOI  :  10.1088/1755-1315/104/1/012011

来源: IOP

【 摘 要 】

Haze pollution has become a hot issue concerned with the process of modernization and one serious problem requiring urgent solution, especially in Beijing. PM2.5is the main reason causing haze and its harm. Although there has been research centering on factors affecting PM2.5, little attention has been devoted to the microcosmic and dynamic effects on it. Vector auto-regression (VAR) mode is applied in this study to explore the interaction between PM2.5, PM10, SO2, CO and NO2. Results of Granger causality tests tell that there exists causal relationship between PM10, SO2, CO, NO2and PM2.5. Impulse response functions (IRFs) show that the response of PM2.5to a shock in CO is positive and large in the short period, while the reaction of PM2.5to a shock in SO2increases over time. Meanwhile, variance decomposition indicate that PM2.5is more closely related to CO in the short term while SO2' influence accounts for a higher proportion in the long run. The findings provide a novel perspective to analyze the factors influencing PM2.5dynamically and contribute to a better understanding of haze and its relationship with sustainable development.