2019 2nd International Conference of Green Buildings and Environmental Management | |
Research on the causes of smog and the effect of spatial spillover | |
生态环境科学 | |
Li, Wenxia^1 ; Zhou, Yaodong^1 | |
Department Siyuan 732, Beijing Jiao Tong University, Beijing | |
100044, China^1 | |
关键词: Economic growths; Empirical analysis; Pollution concentration; Positive correlations; Spatial correlation analysis; Spatial correlations; Spatial measurements; Spillover effects; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/310/2/022001/pdf DOI : 10.1088/1755-1315/310/2/022001 |
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学科分类:环境科学(综合) | |
来源: IOP | |
【 摘 要 】
This paper uses the method of spatial measurement to explore the interaction of smog pollution between local and remote areas in 31 provinces in China and the impact of economic changes. Global spatial correlation analysis shows that there is significant spatial positive correlation of smog pollution, and local spatial correlation shows that the high concentration of pollution is distributed in Beijing-Tianjin-Hebei and adjacent Shandong, Henan, Liaoning, based on environmental Kuznet The curve (also known as the EKC curve) found that smog pollution is closely related to the growth of the main business income, and the inverted U-shaped relationship between smog pollution and economic growth does not exist or has not yet appeared. That is to say, with the growth of the main business, the pollution level is rising continuously. The comprehensive empirical analysis shows that the spatial spillover effect of smog pollution is particularly obvious. The high pollution concentration area is affected by the neighboring areas, and it is difficult to obtain all the benefits from the implementation of environmental regulation. It is imperative to control smog and strengthen inter-regional joint defense.
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