Study on spatial spillover effect of haze pollution based on a network perspective
Stochastic Environmental Research and Risk Assessment, ISSN: 1436-3259, Vol: 38, Issue: 12, Page: 4657-4668
2024
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Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Article Description
In recent years, with the enhancement of pollution control and ecological environmental protection, the quality of the ecological environment in China has continued to improve, but the problem of haze pollution with PM characteristics should not be underestimated. Daily PM data of 11 prefecture-level cities in Jiangxi Province from January 1 to December 31 in 2022 was selected, and the spatial spillover effects of haze pollution from a network perspective. The main findings are as follows: (1) The spatial correlation network of haze pollution for the 11 prefecture-level cities in Jiangxi Province is constructed using the Granger causality test. (2) The network characteristics were obtained using social network analysis. Partial result Nanchang emerges as the most significant media city in this network. (3) The network can divided into four distinct sectors, namely a sector representing net benefits, a sector indicating net overflow, a bilateral overflow sector and a broker sector. These four sectors have distinct geographical distributional characteristics. (4) The spatial correlation network of haze pollution in the 11 prefecture-level cities was found to be correlated with the level of urbanization difference by Quadratic assignment procedure (QAP) regression analysis, but the single urban population proportions did not pass the significance level test of 10%. Based on the analysis above, this paper considers that it is an important strategy for the Jiangxi Province haze control to establish a regional collaborative prevention and control mechanism, implement the differentiated regional governance strategy, and achieve the high-quality development of the whole province.
Bibliographic Details
Springer Science and Business Media LLC
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