Measurement and Driving Factors of Carbon Emissions from Coal Consumption in China Based on the Kaya-LMDI Model

As the top emitter of carbon dioxide worldwide, China faces a considerable challenge in reducing emissions to combat global warming. Carbon from coal consumption is primary source China. The decomposition driving factors and quantification regions industries needs further research. Thus, this paper decomposed five affecting China, namely, emission intensity, energy structure, economic output, population scale, by constructing Kaya-Logarithmic Mean Divisia Index (Kaya-LMDI) model with data on 1997 2019. It was revealed that output intensity effects are major drivers inhibitors respectively. contribution impact these were analyzed for different industrial sectors. results showed increased 3211.92 million tons From regional perspective, Hebei Province has most significant due effect output. Additionally, sector had pronounced influence effect. Finally, series measures reduce including controlling total consumption, improving utilization rate clean energy, optimizing structure proposed based China’s actual development.