TY - JOUR
T1 - Achieving low-carbon urban passenger transport in China
T2 - Insights from the heterogeneous rebound effect
AU - Chen, Zhenni
AU - Du, Huibin
AU - Li, Jianglong
AU - Southworth, Frank
AU - Ma, Shoufeng
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/6
Y1 - 2019/6
N2 - The rapid increase in energy consumption and carbon emissions in China's passenger transportation sector threatens both the environment and the nation's energy security. Energy efficiency improvements, leading to lower fuel consumption, are therefore of considerable interest to policymakers trying to achieve low-carbon travel. However, it is well established that higher miles per gallon efficiencies can, by reducing the costs of travel, lead to some level of increased personal travel: the so-called ‘rebound effect’. This paper describes an empirical study to measure the size and also the variability in this effect at the provincial level and what this variability implies for a carbon tax policy. This rebound effect is quantified using a two-stage Almost Ideal Demand System (AIDS) model. A backfire effect (i.e. the rebound is ≫100%) is observed in urban passenger transport, with disparities in the size of the rebound effect ranging from 114% to 153% among China's provinces. The differences in economic development as well as related differences in consumers' behavior, especially in the behavior of “marginal consumers”, have contributed to this heterogeneity, with a larger carbon tax (more than 110Yuan/tonne) needed in richer provinces such as Jiangsu, Zhejiang, Guangdong and Fujian in order to bring about similar levels of carbon reductions nationwide.
AB - The rapid increase in energy consumption and carbon emissions in China's passenger transportation sector threatens both the environment and the nation's energy security. Energy efficiency improvements, leading to lower fuel consumption, are therefore of considerable interest to policymakers trying to achieve low-carbon travel. However, it is well established that higher miles per gallon efficiencies can, by reducing the costs of travel, lead to some level of increased personal travel: the so-called ‘rebound effect’. This paper describes an empirical study to measure the size and also the variability in this effect at the provincial level and what this variability implies for a carbon tax policy. This rebound effect is quantified using a two-stage Almost Ideal Demand System (AIDS) model. A backfire effect (i.e. the rebound is ≫100%) is observed in urban passenger transport, with disparities in the size of the rebound effect ranging from 114% to 153% among China's provinces. The differences in economic development as well as related differences in consumers' behavior, especially in the behavior of “marginal consumers”, have contributed to this heterogeneity, with a larger carbon tax (more than 110Yuan/tonne) needed in richer provinces such as Jiangsu, Zhejiang, Guangdong and Fujian in order to bring about similar levels of carbon reductions nationwide.
KW - CO rebound effect
KW - Carbon tax
KW - Heterogeneity
KW - Urban passenger transport
UR - https://www.scopus.com/pages/publications/85068068032
U2 - 10.1016/j.eneco.2019.06.009
DO - 10.1016/j.eneco.2019.06.009
M3 - 文章
AN - SCOPUS:85068068032
SN - 0140-9883
VL - 81
SP - 1029
EP - 1041
JO - Energy Economics
JF - Energy Economics
ER -