The dynamic effect of smart transportation on the carbon emission of transportation industry based on PVAR model

Smart transportation is of great significance to reduce regional carbon emissions and achieve the dual carbon goal. However, the current research does not deeply explore the long-term dynamic impact of intelligent transportation on transportation carbon emissions. Therefore, this paper selects 30 provinces in China, uses their fuel use data from 2005 to 2020 to calculate transportation carbon emissions, and divides different regions according to geographical location and national development strategy. The dynamic impact of intelligent transportation on transportation carbon emissions is analyzed based on the PVAR model. The results show that the size effect of the 30 provinces is much larger than the structure effect and the technology effect.The main impact indicators of transport carbon emissions are different in the different regions like Beijing-Tianjin-Hebei Urban Agglomeration, the Yangtze River basin and the central and western region.Based on the above research, this paper aims to provide policy recommendations on transportation carbon emission reduction for cities in different regions from the perspective of smart cities.