Analysis on the influencing factors of carbon emission in China's logistics industry based on LMDI method

Abstract

Logistics industry, as one of the industries with high carbon emissions, has become the focus of all parties while developing rapidly. Based on panel data, the total carbon emissions of logistics industry in China from 2000 to 2016 were calculated by using IPCC method. On this basis, the LMDI decomposition model is used to decompose the influencing factors of carbon emission from five aspects: carbon emission coefficient, energy intensity, energy structure, economic level and population size. Finally, using MATLAB tools to analyze the data. Results show that economic growth is the main factor to promote carbon emissions in logistics industry, followed by the positive impact of population size and energy structure. The carbon factor effect is negligible, energy intensity is the main restraining factor. The effect of various factors on carbon emissions varies from time to time. Therefore, we should speed up the adjustment of energy structure, reduce the dependence on high‑carbon emissions such as coal, optimize transportation system and improve logistics efficiency; at the same time, strengthen the cooperation between the government and enterprises, formulate feasible policies and measures, and do a good job in top-level planning and design of logistics, make our logistics industry embark on the road of low-carbon development.