Analysis of Influencing Factors and Decoupling Effects of Transportation Carbon Emissions in Liaoning Province

Abstract

In order to investigate the influencing factors and decoupling effects of transportation carbon emissions in Liaoning province, this study adopts a "top-down" approach to account for transportation carbon emissions in Liaoning province from 2002 to 2021. The LMDI (Logarithmic Mean Divisia Index) method was adopted to analyze the influencing factors of transportation carbon emissions. The influencing factors are categorized into four points of study: energy structure, energy intensity, economic output and population scale. The Tapio decoupling model is used to study the decoupling status of economic development and transportation carbon emissions in the transportation sector. The study found that: (1) Transportation carbon emissions in Liaoning province continued to grow over the study period. Diesel fuel produces the largest share of emissions. (2) Energy intensity was an important factor in reducing carbon emissions from the transportation sector. Economic output, on the other hand, is an important factor in increasing carbon emissions from transportation. (3) The relationship between transportation carbon emissions and GDP growth in Liaoning province was weakly decoupled from 2002-2021. In terms of phases, the strong and weak decoupling periods accounted for the largest proportion.