Feng Dong

TL;DR: In this article, structural decomposition analysis (SDA) and quantile regression are employed to investigate the factors that drive changes in carbon emission intensity in China, based on input-output SDA, CEI in China during 1992-2012 is decomposed from the perspectives of the total economy and economic sectors.

TL;DR: In this paper, the impacts of urbanization and industrialization on carbon emissions were examined by using a threshold regression model, and the results indicated that urbanization has a significant double-threshold effect on carbon emission.

TL;DR: The empirical results specify that in the short term, ETS can significantly reduce carbon emissions in the pilot provinces, but fail to increase GDP, so ETS does not realize the Porter effect in theShort term, Nevertheless, in terms of the empirical results the authors can find ETS plays a significant role in emission reduction.

TL;DR: In this article, a comprehensive index of pollution emission is calculated by the improved entropy method, and the pollution agglomeration level is obtained through the geographical concentration, which is estimated by the location quotient index.

TL;DR: Wang et al. as discussed by the authors used an extended kaya identity (LMDI) approach to decompose the changes of PM2.5 emissions during 1998-2014, taking into consideration the synergistic effect of CO2 emissions reduction activities.