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Energy consumption in the transportation sectors in China and the United States: A longitudinal comparative study

journal contribution
posted on 2019-06-17, 08:09 authored by Ya Wu, Qianwen Zhu, Ling Zhong, Tao ZhangTao Zhang
Using Tapio elastic analysis, the differences and similarities of the energy consumption in the transportation sectors in China and the United States were compared. The results showed that the energy consumption of the transportation sectors in the two countries in 2000–2015 had a weak decoupling overall from economic growth in the long term. The decoupling indicator (0.61) in China was about ten times that (0.069) of the United States. Namely, the dependence of China's transportation sector on energy consumption was far larger than that of the United States. Furthermore, using a logarithmic mean Divisia index (LMDI) model, the factors influencing the energy consumption in transportation sectors in China and the United States were analyzed from five perspectives. Based on this model, the reason why the two countries show decoupling difference was explained. Relevant policies implications for energy conservation and emission reduction in the transportation sector were discussed.

Funding

National Natural Science Foundation of China (71703060).

History

School

  • Loughborough University London

Published in

Structural Change and Economic Dynamics

Volume

51

Pages

349 - 360

Citation

WU, Y. ... et al, 2018. Energy consumption in the transportation sectors in China and the United States: A longitudinal comparative study. Structural Change and Economic Dynamics, 51, pp.349-360.

Publisher

© Elsevier

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2018-12-18

Publication date

2018

Notes

This paper is closed access.

ISSN

0954-349X

Language

  • en

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