Spatial Distribution Pattern and Influencing Factors of Industrial Pollution Emissions in Yangtze River Economic Belt

被引：2
|
作者：
Li Y.-Y. [1 ]
Liu L.-P. [1 ]
Liu Y.-Y. [1 ]
机构：
[1] Key Laboratory of Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing
来源：
Huanjing Kexue/Environmental Science | 2021年 / 42卷 / 08期
关键词：
Impacting factors; Industrial pollution; Logarithmic mean Divisia index model (LMDI); Spatial pattern; Yangtze River economic belt;
D O I：
10.13227/j.hjkx.202011017
中图分类号：
学科分类号：
摘要：
The development of Yangtze River economic belt emphasizes the strategy of "no large-scale development, joint efforts in large-scale protection". The restoration of the Yangtze River environment has become an important part of the development of the region. Therefore, it is important to explore the spatial distribution of industrial pollution emissions and its influencing factors in the Yangtze River economic belt. Using industrial SO2, wastewater, and soot emission data from 102 cities in the Yangtze River economic belt, from 2013 to 2017, this study analyzes the spatial distribution of industrial pollution emissions in the Yangtze River economic belt. This was achieved using spatial autocorrelation analysis and Getis-Ord Gi*methods, and by adopting the logarithmic mean Divisia index model to decompose the influencing factors of industrial pollution emissions in the Yangtze River economic belt. The results show that from 2013 to 2017, the emissions of industrial SO2, wastewater, and soot in the Yangtze River economic belt exhibited a downward trend, with a decrease in the number of high-emission cities and an increase in the number of low-emission cities. The spatial correlation of industrial pollutants increased with time, and technological improvements had the most significant inhibitory effect, making it the most important factor affecting industrial pollution emissions in the Yangtze River economic belt. © 2021, Science Press. All right reserved.
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页码：3820 / 3828
页数：8
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