Yu Zhang

TL;DR: A strong decoupling relation between GDP and CI is found in most provinces except Hainan, Qinghai and Xinjiang, while there is large room for China to decouple completely from PC and TC, which help local governments formulate measures to coordinate regional economic development and carbon emission reduction.

TL;DR: The results show that carbon emission in China will peak in 2036, six years later than the agreed year, and carbon emission is significantly driven by the booming economic output and inhibited by decreasing energy intensity, but the slight fluctuation of energy structure plays a minor role in the four sectors.

TL;DR: Wang et al. as discussed by the authors explored the key impact factors (KIFs) of carbon emission in China among 43 potential impact factors, which comprehensively cover 30 relevant studies and identified the KIFs in China using the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model.

TL;DR: The findings may serve as valuable references for policy-makers to understand the current decoupling statuses and make three-step strategies if necessary towards the global low-carbon economy.

TL;DR: Wang et al. as mentioned in this paper identified the key impact factors of PM2.5 concentration in 152 Chinese cities in eastern, central, and western China by using Logarithmic Mean Divisia Index (LMDI) method.