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Research on carbon emission efficiency and spatial-temporal factors in the transportation industry: Evidence from the Yangtze River Economic Belt

Thematic area: 
Climate change and air pollution
 
Paper Topic: 
Air Quality
 

Pages :
-

Corresponing Author: 
Gang Zeng
 
Authors: 
Gang Zeng, Yadi Sang, Qizhang Gui, Jiayi Li, Junyao Yuan, Keren Zhu
Paper ID: 
gnest_05638
Paper Status: 
In press
Date Paper Accepted: 
26-01-2024
Paper online: 
29/03/2024
Visual abstract: 
Abstract: 

Severe climate problems have forced the Chinese government to put forward the goal of "carbon peak" and "carbon neutrality". The transport sector is a key area for carbon reduction. Based on this background, this paper constructs the Super-SBM model and the Malmquist-Luenberger index model containing the undesirable output. This paper measures the carbon emission efficiency of transport industry in China's Yangtze River Economic Belt from static and dynamic perspectives during 2014-2020. Finally, the GTWR model is constructed to analyze the factors affecting carbon emission efficiency. The results show that: (1) the carbon emission efficiency of provinces in the Yangtze River Economic Belt is characterized by heterogeneity. Hubei was the highest, while Shanghai, Hunan, Sichuan and Yunnan were below average. (2) According to the Malmquist-Luenberger index analysis, the transportation carbon emission efficiency of the Yangtze River Economic Belt has a downward trend. Over the 2014-2020 period, carbon efficiency will decline by an average of 7% per year. (3) Energy consumption structure, industrial upgrading, economic development and population agglomeration have significant effects on carbon emission efficiency.

Keywords: 
Transportation industry; Carbon emission efficiency; Super-SBM model; Malmquist-Luenberger Index; GTWR model