Abstract
In order to study the relationship between carbon emission and economic growth in China’s transportation industry and the driving factors of carbon emission, the Logarithmic Mean Divisia Index (LMDI) decomposition model of carbon emission elastic decoupling and carbon emission driving factors is established. The results show that the carbon emission decoupling value of China’s transportation industry has obvious spatial disequilibrium characteristics, and the decoupling state of “weak decoupling-expansion negative decoupling- growth linkage” appears from coastal areas to inland are as a whole. From 2009 to 2016, there are five types of carbon emission Kuznets curves of China’s transportation industry, namely linear type, U type, inverted-U type, inverted-N type and wave type. The carbon emission intensity of transportation industry in many provinces still tends to increase with the increase of economy. The energy structure effect and the energy intensity effect have a relatively weak negative impact on the carbon emission in the transportation industry. However, the industry scale effect has a significant positive impact, which is the main factor to promote the growth of carbon emission.
