Decoupling analysis and peak projection of manufacturing CO emissions from the perspective of investment.

Unlabelled: Reducing carbon emissions has become an urgent task in China. As the category with the largest economic and emissions contribution to the industry, the carbon emissions research of the manufacturing industry is particularly important. This paper uses the LMDI method to decompose manufacturing carbon emissions into seven influencing factors (i.

Decomposition and scenario analysis of final demand embedded manufacturing consumption emissions: insights from the province-level data.

In order to support the emissions reduction options in manufacturing industry effectively, it is necessary to quantify the final demand embedded manufacturing consumption (DEMC) emissions which can be estimated by converting intermediate manufacturing consumption into all final demand categories. Here, we quantify the DEMC emissions in China's 30 provinces during 2007-2017 using a multi-regional input-output (MRIO) model and the modified hypothetical extraction method (HEM). Then, we analyze impacts of four factors (including emissions multipliers, consumption structure, investment efficiency, and investment scale) on the DEMC emissions.

A nexus study of carbon emissions and financial development in China using the decoupling analysis.

Investigating the linkage between financial development (FD) and carbon emissions is important for mitigating climate change. Nevertheless, there is a scarcity of studies investigating how carbon emissions decouple from FD. Here, we investigate the relationship between FD and carbon emissions by using the decoupling model based on cross-province data of China during 2000-2019.