Can smart transportation inhibit carbon lock-in? The case of China

Kangyin Dong (), Rongwen Jia, Congyu Zhao and Kun Wang

Transport Policy, 2023, vol. 142, issue C, 59-69

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.

Keywords: Carbon lock-in; Smart transportation; Mediating effect model; Threshold effect model; China (search for similar items in EconPapers)
JEL-codes: C23 O13 P25 P28 R41 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.tranpol.2023.08.003

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