The static and dynamic carbon emission efficiency of transport industry in China

Transport industry is one of the major contributors to energy-related carbon emissions in China, thus becoming a topical area of concern where efforts to improve carbon emission efficiency need to be prioritized. By estab-lishing a Static-Dynamic Efficiency (SDE) framework and using panel data from 30 provinces in China from 2010 to 2019, we develop a super slack-based measure model to assess the static efficiencies and potential for improvement of the TICEE at the provincial level, adopt the global Malmquist-Luenberger index to examine the dynamic changes in TICEE and the underlying driving factors, and propose improvement strategies by inte-grating the static and dynamic perspectives. We observe: (1) severe carbon emission inefficiency in transport industry in China, particularly in western, central and north-eastern regions; (2) a slow downward trend in static efficiency due to the slow progressing technological innovation; and (3) high potential for saving energy and reducing emissions in the provinces that fall into the inefficient-deterioration category. Our research findings extend the literature by bringing together the static and dynamic aspects into the SDE framework, as well as assist policy makers in better understanding the way to improve TICEE.

Automated summary

The transport industry in China is a major contributor to energy-related carbon emissions and is a topic of concern for improving carbon emission efficiency. Using a SDE framework and panel data from 30 provinces in China, a super slack-based measure model is developed to assess the static efficiencies and potential for improvement of the transport industry at the provincial level. The research findings highlight the severe carbon emission inefficiency, slow progress in static efficiency, and potential for energy saving and emission reduction.