2021
DOI: 10.3390/ijerph182111495
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Retrospect and Outlook of Research on Regional Haze Pollution in China: A Systematic Literature Review

Abstract: Regional haze pollution, a severe atmospheric environmental problem, has profoundly harmful effects on the ecological environment, public health and the quality of economic development, and has accordingly attracted considerable attention from policymakers, researchers and the public. This article comprises a systematic literature review of the existing research on the theoretical mechanism, empirical analysis and institutional arrangement of regional haze pollution. As a result, it is found that various studi… Show more

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Cited by 3 publications
(4 citation statements)
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References 94 publications
(131 reference statements)
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“…Along with the promotion of the overall planning of the “fourteenth five-year plan” and the completion of the corporate vision for 2035, it is still the top priority to deal with the problems between conditions and economic development trends [ 4 ]. At this stage, the management system of environmental regulation in China has been sound, and the types of environmental regulation are more diversified [ 5 ].Therefore, this paper has the premise and ability to improve the construction of ecological civilization.…”
Section: Introductionmentioning
confidence: 99%
“…Along with the promotion of the overall planning of the “fourteenth five-year plan” and the completion of the corporate vision for 2035, it is still the top priority to deal with the problems between conditions and economic development trends [ 4 ]. At this stage, the management system of environmental regulation in China has been sound, and the types of environmental regulation are more diversified [ 5 ].Therefore, this paper has the premise and ability to improve the construction of ecological civilization.…”
Section: Introductionmentioning
confidence: 99%
“…Exploratory Spatial Data Analysis is a statistical instrument that identifies and quantifies spatial correlation relationships and characteristics and can investigate the spatial autocorrelation or spatial heterogeneity of observed variables (Gao & Yuan, 2021). The method includes mainly global spatial autocorrelation and local spatial autocorrelation; the former is generally measured by Moran's I index, and the latter is generally measured by Moran scatterplots and local indicators of spatial association agglomeration maps (Li, Deng, et al, 2021). The Global Moran's Index can be calculated using Formula (1):…”
Section: Research Methods and Designmentioning
confidence: 99%
“…Exploratory Spatial Data Analysis is a statistical instrument that identifies and quantifies spatial correlation relationships and characteristics and can investigate the spatial autocorrelation or spatial heterogeneity of observed variables (Gao & Yuan, 2021). The method includes mainly global spatial autocorrelation and local spatial autocorrelation; the former is generally measured by Moran's I index, and the latter is generally measured by Moran scatterplots and local indicators of spatial association agglomeration maps (Li, Deng, et al, 2021). The Global Moran's Index can be calculated using Formula (): Global Moran's 0.25emI=ni=1nj=1nwij(XiX¯)(XjX¯)S02i=1nj=1nwij, $\text{Global\unicode{x000A0}Moran's\unicode{x000A0}}\,I=\frac{n{\sum }_{i=1}^{n}{\sum }_{j=1}^{n}{w}_{{ij}}({X}_{i}-\bar{X})({X}_{j}-\bar{X})}{{{S}_{0}}^{2}\cdot {\sum }_{i=1}^{n}{\sum }_{j=1}^{n}{w}_{{ij}}},$ S02=1ni=1n(XitrueX¯)2,trueX¯=1ni=1nXi, ${{S}_{0}}^{2}=\frac{1}{n}\sum _{i=1}^{n}{({X}_{i}-\bar{X})}^{2},\bar{X}=\frac{1}{n}\sum _{i=1}^{n}{X}_{i},$where n $n$ is the number of spatial units indexed by i $i$ and j $j$.…”
Section: Methodsmentioning
confidence: 99%
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