The heterogeneous effect of socioeconomic driving factors on PM2.5 in China's 30 province-level administrative regions: Evidence from Bayesian hierarchical spatial quantile regression
文献类型：期刊论文
| 作者 | Zou, Qingrong1; Shi, Jian2,3 |
| 刊名 | ENVIRONMENTAL POLLUTION
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 264页码:10 |
| 关键词 | Quantile regression Spatial method Bayesian inference PM2.5 pollution Socioeconomic factors |
| ISSN号 | 0269-7491 |
| DOI | 10.1016/j.envpol.2020.114690 |
| 英文摘要 | China has become one of the most serious PM2.5-dominated air pollution country. Despite a great deal of research has focused on analysing the influence of social and economic driving forces of PM2.5 pollution in China, most research in existence either applying mean regression or failing to consider the spatial autocorrelation. Motivated by this, this paper utilizes a Bayesian hierarchical spatial quantile regression method to explore the effect of socioeconomic activity on PM2.5 air pollution. By introducing spatial random effects into the model, the spatial autocorrelations of residuals are significantly reduced. The empirical study demonstrated that the PM2.5 concentration levels were strongly correlated with total population, urbanization rate, industrialization level and energy efficiency at all quantiles. For upper quantiles, the impact of urbanization rate on the haze is the greatest among all the predictors, then followed by the total population; while for lower quantiles, industrialization has the greatest impact on the PM2.5 concentration. The impacts of energy efficiency in the lower 15% and upper 15% quantiles are higher compared to any of the other quantiles. (C) 2020 Elsevier Ltd. All rights reserved. |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000540263400046 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/51620]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Shi, Jian |
| 作者单位 | 1.Beijing Informat Sci & Technol Univ, Sch Appl Sci, Beijing 100192, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100039, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zou, Qingrong,Shi, Jian. The heterogeneous effect of socioeconomic driving factors on PM2.5 in China's 30 province-level administrative regions: Evidence from Bayesian hierarchical spatial quantile regression[J]. ENVIRONMENTAL POLLUTION,2020,264:10. |
| APA | Zou, Qingrong,&Shi, Jian.(2020).The heterogeneous effect of socioeconomic driving factors on PM2.5 in China's 30 province-level administrative regions: Evidence from Bayesian hierarchical spatial quantile regression.ENVIRONMENTAL POLLUTION,264,10. |
| MLA | Zou, Qingrong,et al."The heterogeneous effect of socioeconomic driving factors on PM2.5 in China's 30 province-level administrative regions: Evidence from Bayesian hierarchical spatial quantile regression".ENVIRONMENTAL POLLUTION 264(2020):10. |
入库方式： OAI收割
来源：数学与系统科学研究院
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