DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: The retailed gasoline price in China: Time-series analysis and future trend projection

Abstract

This study introduces a method to systematically project retailed gasoline prices in China and provides projection results. Based on oil taxation and pricing mechanisms in China, this study establishes the statistical relationship between the retailed gasoline prices in China and international crude oil prices using error correction models (ECM), time-series models. Detailed comparison among asymmetric ECM, threshold ECM, and threshold asymmetric ECM are provided. By adopting the ECMs, the study projects the retailed gasoline prices from 2019 to 2050 based on the international crude oil prices from the Annual Energy Outlook provided by the U.S. Energy Information Administration. The results show that the asymmetric responsiveness and the threshold effect exist under current Chinese oil pricing policy with a lag of one month or even shorter in gasoline price adjustment. Moreover, the analysis informs one that, in the short-run, the retailed gasoline prices in China are more sensitive to international crude oil price increases; while in the long-run, the retailed gasoline prices are more sensitive to international crude oil price decreases. Compared with the national average gasoline price in China of 6.04 CNY/Liter in 2017, the national average gasoline price in China is projected to be about 7.64 CNY/Liter (2017 dollar)more » by 2050.« less

Authors:
ORCiD logo [1]; ORCiD logo [1];  [2];  [3];  [4]; ORCiD logo [1];  [5];  [5];  [5]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Beijing Inst. of Technology (China)
  3. Tsinghua Univ., Beijing (China)
  4. China Automotive Technology and Research Center, Tianjin (China)
  5. Aramco Services Company, Detroit, MI (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1606742
Alternate Identifier(s):
OSTI ID: 1581828
Grant/Contract Number:  
AC05-00OR22725; 20182142001
Resource Type:
Accepted Manuscript
Journal Name:
Energy (Oxford)
Additional Journal Information:
Journal Name: Energy (Oxford); Journal Volume: 191; Journal Issue: C; Journal ID: ISSN 0360-5442
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; Retailed gasoline prices; China; Error correction models; Annual energy outlook; Gasoline price projection

Citation Formats

Ou, Shawn, Lin, Zhenhong, Xu, Guoquan, Hao, Xu, Li, Hongwei, Gao, Zhiming, He, Xin, Przesmitzki, Steven V., and Bouchard, Jessey. The retailed gasoline price in China: Time-series analysis and future trend projection. United States: N. p., 2019. Web. doi:10.1016/j.energy.2019.116544.
Ou, Shawn, Lin, Zhenhong, Xu, Guoquan, Hao, Xu, Li, Hongwei, Gao, Zhiming, He, Xin, Przesmitzki, Steven V., & Bouchard, Jessey. The retailed gasoline price in China: Time-series analysis and future trend projection. United States. https://doi.org/10.1016/j.energy.2019.116544
Ou, Shawn, Lin, Zhenhong, Xu, Guoquan, Hao, Xu, Li, Hongwei, Gao, Zhiming, He, Xin, Przesmitzki, Steven V., and Bouchard, Jessey. Wed . "The retailed gasoline price in China: Time-series analysis and future trend projection". United States. https://doi.org/10.1016/j.energy.2019.116544. https://www.osti.gov/servlets/purl/1606742.
@article{osti_1606742,
title = {The retailed gasoline price in China: Time-series analysis and future trend projection},
author = {Ou, Shawn and Lin, Zhenhong and Xu, Guoquan and Hao, Xu and Li, Hongwei and Gao, Zhiming and He, Xin and Przesmitzki, Steven V. and Bouchard, Jessey},
abstractNote = {This study introduces a method to systematically project retailed gasoline prices in China and provides projection results. Based on oil taxation and pricing mechanisms in China, this study establishes the statistical relationship between the retailed gasoline prices in China and international crude oil prices using error correction models (ECM), time-series models. Detailed comparison among asymmetric ECM, threshold ECM, and threshold asymmetric ECM are provided. By adopting the ECMs, the study projects the retailed gasoline prices from 2019 to 2050 based on the international crude oil prices from the Annual Energy Outlook provided by the U.S. Energy Information Administration. The results show that the asymmetric responsiveness and the threshold effect exist under current Chinese oil pricing policy with a lag of one month or even shorter in gasoline price adjustment. Moreover, the analysis informs one that, in the short-run, the retailed gasoline prices in China are more sensitive to international crude oil price increases; while in the long-run, the retailed gasoline prices are more sensitive to international crude oil price decreases. Compared with the national average gasoline price in China of 6.04 CNY/Liter in 2017, the national average gasoline price in China is projected to be about 7.64 CNY/Liter (2017 dollar) by 2050.},
doi = {10.1016/j.energy.2019.116544},
journal = {Energy (Oxford)},
number = C,
volume = 191,
place = {United States},
year = {Wed Nov 13 00:00:00 EST 2019},
month = {Wed Nov 13 00:00:00 EST 2019}
}

Journal Article:

Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

Save / Share: