TY - JOUR
T1 - The static and dynamic carbon emission efficiency of transport industry in China
AU - Meng, Conghui
AU - Du, Xiaoyun
AU - Zhu, Mengcheng
AU - Ren, Yitian
AU - Fang, Kai
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/7/1
Y1 - 2023/7/1
N2 - 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 establishing 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 integrating 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.
AB - 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 establishing 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 integrating 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.
KW - Carbon emission efficiency
KW - Global malmquist-luenberger index
KW - Super slack-based measure model
KW - Transport industry
UR - http://www.scopus.com/inward/record.url?scp=85151265860&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2023.127297
DO - 10.1016/j.energy.2023.127297
M3 - Article
AN - SCOPUS:85151265860
SN - 0360-5442
VL - 274
JO - Energy
JF - Energy
M1 - 127297
ER -