Correlation and causal impact on air quality of inter zones in Beijing based on big data

Caixiao Zhang (), Zhen Peng (), Ruilian Qiu () and Ning Zhao ()
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Caixiao Zhang: Beijing Institute of Petrochemical Technology
Zhen Peng: China University of Geosciences
Ruilian Qiu: Beijing Institute of Petrochemical Technology
Ning Zhao: Beijing Institute of Petrochemical Technology

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2025, vol. 27, issue 10, No 65, 24859-24876

Abstract: Abstract In order to further strengthen fine linkage management of air quality in Beijing, the capital of China, air quality, meteorological conditions, environmental regulations, industrial economy and industrial pollution emission data of four zones in Beijing are collected and integrated. Based on the big data, the correlation and causal impact of the influencing factors on air quality of inter zones in Beijing are analyzed using grey correlation and Granger causality test. The results show that horizontal atmospheric pressure and humidity have strong correlation and causal effects on air quality of Beijing, except to the north; the eastern industrial economy strongly correlates and causes to western Beijing; the air quality of Beijing is most affected by environmental regulations in the north; among the industrial emission of the four zones, the western and southern industries need to be effectively managed for the PM emission. These results can provide desired decision support for the improvement of air quality in Beijing.

Keywords: Air quality; Meteorological conditions; Environmental regulations; Industrial economy; Industrial pollution emission; Correlation and causal impact (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10668-022-02706-8

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