Driving Factors of Carbon Emissions in China’s Logistics Industry

Developing low-carbon logistics requires an understanding of the driving factors for carbon emissions. We employed Comparative Study on Urban Transport and Environment (CUTE) framework to identify China’s Then, Generalized Fisher Index Decomposition (GFID) model was adopted decompose effects factors. Finally, we tracked spatial dynamics trajectory each effect based gravity model. Our results showed that technical intensity transport structure promoted emissions, while efficiency agglomeration curbed The centers converged with whereas industry diverged from obvious heterogeneity, which indicated reduction policies should be formulated according local situation.