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Achieving low-carbon urban passenger transport in China: Insights from the heterogeneous rebound effect

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  • Chen, Zhenni
  • Du, Huibin
  • Li, Jianglong
  • Southworth, Frank
  • Ma, Shoufeng

Abstract

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.

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  • Chen, Zhenni & Du, Huibin & Li, Jianglong & Southworth, Frank & Ma, Shoufeng, 2019. "Achieving low-carbon urban passenger transport in China: Insights from the heterogeneous rebound effect," Energy Economics, Elsevier, vol. 81(C), pages 1029-1041.
  • Handle: RePEc:eee:eneeco:v:81:y:2019:i:c:p:1029-1041
    DOI: 10.1016/j.eneco.2019.06.009
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    More about this item

    Keywords

    Urban passenger transport; CO2 rebound effect; Heterogeneity; Carbon tax;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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