Jiali Zheng

TL;DR: In this paper, the authors used the logarithmic mean divisia index (LMDI) to estimate seven socioeconomic drivers of the changes in CO2 emissions in China since 2000 and found that China's carbon emissions have plateaued since 2012 mainly because of energy efficiency gains and structural upgrading.

TL;DR: In this paper, the authors estimated production-based CO2 emissions from fossil fuel combustion and industrial processes in eleven cities in Hebei Province of China in 2012 and used input-output theory to measure their consumption-based emissions.

TL;DR: Li et al. as mentioned in this paper applied an environmentally extended multiregional input-output approach to estimate household carbon footprints for 12 different income groups of China's 30 regions and measured carbon inequality for households across provinces.

TL;DR: The authors explored the role of possible socioeconomic drivers of China's CO2 emission changes by using structural decomposition analysis (SDA) for 2002-2017 and found that gains in energy efficiency, deceleration of economic growth, and changes in consumption patterns are the most important determinants, offsetting the increase by 49% during 2012-2017.

TL;DR: The results of out-of-sample forecasting power show that the proposed DCE learning approach produces smaller NRMSE, MAPE and better directional forecasts than all other benchmark models, reaching up to accuracy rate of 2.96%, 2.83% and 88.24% respectively in the one-day-ahead forecasting.