TY - JOUR
T1 - Is smart transportation associated with reduced carbon emissions? The case of China
AU - Zhao, Congyu
AU - Wang, Kun
AU - Dong, Xiucheng
AU - Dong, Kangyin
N1 - Funding Information:
The article is supported by the Beijing Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era Center & Beijing Social Science Foundation (Grant No. 21LLLJC028 ). The authors gratefully acknowledge the helpful reviews and comments from the editors and anonymous reviewers, which improved this manuscript considerably. Certainly, all remaining errors are our own.
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2022/1
Y1 - 2022/1
N2 - The greenhouse effects of the transportation sector are quite significant as the sector essentially consumes a lot of fossil fuels. To reduce this sector's carbon dioxide (CO2) emissions and achieve carbon neutrality, developing smart transportation has emerged as a promising approach. Accordingly, by employing spatial econometric models, we study the impact of smart transportation on CO2 emissions in China. For this purpose, we first assess smart transportation levels in the 30 Chinese provinces for the period 2002–2017. The results indicate that the overall level of smart transportation displays a significant upward trend, and regional heterogeneity exists. Also, a significant spatial spillover effect is found between smart transportation and CO2 emissions in China, implying that a province's carbon mitigation not only depends on the development of its own smart transportation, but also on that of neighboring provinces. Smart transportation can inhibit the CO2 emissions significantly in not only the transportation but also non-transportation sectors. Furthermore, in addition to the direct mitigation effect, smart transportation can also indirectly affect CO2 emissions through transportation scale, structure, and technology effects. The findings of this paper therefore add to the existing literature and provide important policy implications for promoting smart transportation and curbing CO2 emissions in the transportation and other sectors.
AB - The greenhouse effects of the transportation sector are quite significant as the sector essentially consumes a lot of fossil fuels. To reduce this sector's carbon dioxide (CO2) emissions and achieve carbon neutrality, developing smart transportation has emerged as a promising approach. Accordingly, by employing spatial econometric models, we study the impact of smart transportation on CO2 emissions in China. For this purpose, we first assess smart transportation levels in the 30 Chinese provinces for the period 2002–2017. The results indicate that the overall level of smart transportation displays a significant upward trend, and regional heterogeneity exists. Also, a significant spatial spillover effect is found between smart transportation and CO2 emissions in China, implying that a province's carbon mitigation not only depends on the development of its own smart transportation, but also on that of neighboring provinces. Smart transportation can inhibit the CO2 emissions significantly in not only the transportation but also non-transportation sectors. Furthermore, in addition to the direct mitigation effect, smart transportation can also indirectly affect CO2 emissions through transportation scale, structure, and technology effects. The findings of this paper therefore add to the existing literature and provide important policy implications for promoting smart transportation and curbing CO2 emissions in the transportation and other sectors.
KW - China
KW - CO emissions
KW - Mediating and heterogeneous effects
KW - Smart transportation
KW - Spatial econometric models
UR - http://www.scopus.com/inward/record.url?scp=85120061383&partnerID=8YFLogxK
U2 - 10.1016/j.eneco.2021.105715
DO - 10.1016/j.eneco.2021.105715
M3 - Journal article
AN - SCOPUS:85120061383
SN - 0140-9883
VL - 105
JO - Energy Economics
JF - Energy Economics
M1 - 105715
ER -