The panel data analysis points to economic and social factors contributing to NOx, PM2.5, PM10, SO2, and VOCs in China’s 31 provinces. The spatial correlation analysis using Global and Local Moran’s I values indicates the existence of a significant and positive spatial autocorrelation with...

Bidirectional causality between energy use and carbon emissions has widely been explored, but the results in the existing research are still controversial. Focusing on China, we reveal the bidirectional causality between energy use and carbon emissions, and then take carbon emissions as a factor...

This study analyzes factors that influence carbon emissions due to fossil energy consumption in China to identify key factors for policies promoting carbon emission reductions. Carbon emissions for energy consumption are decomposed into energy structure, energy intensity, industry structure,...