Abstract
Exploring the spatial correlation characteristics and influencing factors of industrial agglomeration and pollution discharge, which is of great significance to reduce industrial pollution discharge and promote China’s construction of an ecological civilization. Taking 284 prefecture-level cities in China in 2017 as the research object, this study used spatial autocorrelation analysis method to explore the spatial agglomeration characteristics and spatial correlation of industrial agglomeration and industrial pollution discharge, and spatial econometric analysis method was used to explore the main factors affecting industrial pollution discharge. The research results showed that the level of industrial agglomeration in China exhibited a spatial distribution characteristic of “high in the east and low in the west”. The total discharge and discharge intensity of industrial pollutants showed a spatial pattern of “high in the north and low in the south” in general, and industrial agglomeration, total discharge, and discharge intensity of industrial pollution showed significant spatial autocorrelation. Moreover, industrial agglomeration had a strong local spatial correlation with the total and intensity of industrial wastewater, industrial SO2, and industrial smoke and dust, and the main agglomeration types were high agglomeration-low pollution, low agglomeration-high pollution, and low agglomeration-low pollution. In addition, industrial agglomeration had a positive impact on the total industrial wastewater discharge, and had a negative impact on the total industrial smoke and dust discharge, industrial wastewater discharge intensity, industrial SO2 discharge intensity, and industrial smoke and dust discharge intensity.
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The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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This study was supported by the National Science Foundation of China (Grant No. 41701177).
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All authors contributed to the study conception and design. Methodology, software, and writing/original draft preparation were performed by Chengzhen Song. Conceptualization, methodology, writing/review and editing, and funding acquisition were performed by Guanwen Yin. Data curation and software were performed by Yiming Hou. Conceptualization, writing/review and editing, methodology, supervision, and funding acquisition were performed by Yanbin Chen. All authors read and approved the final manuscript.
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Song, C., Chen, Y., Yin, G. et al. Spatial correlation and influencing factors of industrial agglomeration and pollution discharges: a case study of 284 cities in China. Environ Sci Pollut Res 30, 434–450 (2023). https://doi.org/10.1007/s11356-022-22230-6
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DOI: https://doi.org/10.1007/s11356-022-22230-6