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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...
Persistent link: https://www.econbiz.de/10014030779
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...
Persistent link: https://www.econbiz.de/10014030760
Technological progress plays an important role in combating haze pollution in the long run. However, existing studies often ignore the inconsistent effects on the reduction of haze brought by different types of technological progress. Considering the potential heterogeneity among technological...
Persistent link: https://www.econbiz.de/10014030784