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Can smart transportation inhibit carbon lock-in? The case of China.
- Source :
-
Transport Policy . Oct2023, Vol. 142, p59-69. 11p. - Publication Year :
- 2023
-
Abstract
- A thorough understanding of carbon lock-in is an essential precondition for the effective design and continuous improvement of climate policy. Based on a balanced panel dataset of 30 provinces in China during the period 2002–2021, we explore the nexus between smart transportation and carbon lock-in using the System-Generalized Method of Moments (SYS-GMM) model. We also investigate the heterogeneous, asymmetric, and threshold effects among the above two issues, and examine three internal impact mechanisms. We thus arrive at the following four main conclusions: (1) Smart transportation significantly reduces carbon lock-in, highlighting its importance in eradicating carbon lock-in. (2) Smart transportation has the most pronounced impact on carbon lock-in in the central region, and can effectively mitigate all aspects of carbon lock-in, especially industry lock-in and institution lock-in. (3) Smart transportation is more effective in alleviating carbon lock-in in provinces with a higher level of carbon lock-in. Moreover, a threshold of environmental regulation exists between smart transportation and carbon lock-in, with stricter environmental regulation leading to a stronger carbon lock-in reduction effect of smart transportation. (4) Smart transportation indirectly influences carbon lock-in through three channels of economic scale, industrial structure upgrading, and technological innovation. Based on these findings, we propose some policy recommendations for smart transportation development and carbon lock-in mitigation. • This paper examines the carbon unlocking effect of smart transportation. • Smart transportation significantly alleviates carbon lock-in in China. • Smart transportation exerts heterogeneous and asymmetric effects on carbon lock-in. • The nexus between smart transportation and carbon lock-in has an environmental regulation threshold effect. • Scale, structure, and technology effects are three influence channels. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0967070X
- Volume :
- 142
- Database :
- Academic Search Index
- Journal :
- Transport Policy
- Publication Type :
- Academic Journal
- Accession number :
- 171954107
- Full Text :
- https://doi.org/10.1016/j.tranpol.2023.08.003