The influential factors of urban PM2.5 concentrations in China: a spatial econometric analysis

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The dynamic relationship between environmental pollution, economic development and public health: Evidence from China (2017, background): “As for China, many recent studies have verified that there is an inverted-U relationship between environmental quality and GDP per capita (e.g., Hao and Liu, 2016; Kang et al., 2016).”
Using the geographical detector technique to explore the impact of socioeconomic factors on PM2.5 concentrations in China (2019, methodology): “, 2017), spatial lag model (SLM) and spatial errors model (SEM) (Hao and Liu, 2016; Ma et al., 2016) for correlation analysis.”
The environmental consequences of domestic and foreign investment: Evidence from China (2017, background): “…that many prominent problems, especially the deteriorating air quality represented by haze and smog that frequently shrouded most parts of northern and eastern China, were caused by the excessive growth in fossil energy consumption (e.g., Chen et al., 2006; Bloch et al., 2012; Hao and Liu, 2016).”