Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective

被引:55
作者
Wang, Kai-Hua [1 ]
Su, Chi-Wei [1 ]
Xiao, Yidong [2 ]
Liu, Lu [3 ]
机构
[1] Qingdao Univ, Sch Econ, Qingdao, Peoples R China
[2] Univ Tokyo, Grad Sch Econ, Tokyo, Japan
[3] Ocean Univ China, Sch Management, Qingdao, Peoples R China
关键词
Oil price; Wavelet multiscale decomposition; Quantile-on-quantile; Automobile sales; ELECTRIC VEHICLES; STOCK-MARKET; DYNAMICS; FLUCTUATIONS; UNCERTAINTY; CONSUMPTION; EFFICIENCY; EVOLUTION; COUNTRIES; COMPANIES;
D O I
10.1016/j.energy.2021.122501
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper discusses the heterogeneous responses of fuel, electric and plug-in hybrid electric vehicle sales to different time frequencies of oil prices using wavelet multiscale decomposition and quantile-on-quantile methods. The empirical results show that the link between oil prices and vehicle sales in each subsector of the automobile market varies, and the coefficients change and even present opposite directions at different quantiles and frequencies of the oil price. The major contribution of this paper is that the heterogeneities of oil price time frequencies, subdivided automobile markets and policy implications are fully considered, which can provide more accurate and valuable conclusions. Policy implications are further provided to alleviate external shocks from oil prices. Government plans for clean energies should be considered a cornerstone in establishing automobile industry policies. Subsidies, especially green technologies, are also necessary for fuel vehicle manufacturers to develop highly efficient engines and consequently reduce oil consumption. In addition, China's energy pricing mechanism needs to be reformed to prevent disconnection between domestic oil products and international oil markets. (C) 2021 Elsevier Ltd. All rights reserved.
引用
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页数:10
相关论文
共 90 条
[1]   Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China [J].
Ahmed, Abdullahi D. ;
Huo, Rui .
ENERGY ECONOMICS, 2021, 93
[2]   Oil price uncertainty and the US stock market analysis based on a GARCH-in-mean VAR model [J].
Alsalman, Zeina .
ENERGY ECONOMICS, 2016, 59 :251-260
[3]   Analysis of the impact of crude oil price fluctuations on China's stock market in different periods-Based on time series network model [J].
An, Yang ;
Sun, Mei ;
Gao, Cuixia ;
Han, Dun ;
Li, Xiuming .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 492 :1016-1031
[4]   Oil shocks and stock market: Revisiting the dynamics [J].
Anand, B. ;
Paul, Sunil .
ENERGY ECONOMICS, 2021, 96 (96)
[5]   The asymmetric relationship of oil prices and production on drilling rig trajectory [J].
Apergis, Nicholas ;
Ewing, Bradley T. ;
Payne, James E. .
RESOURCES POLICY, 2021, 71
[6]   Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management [J].
Arouri, Mohamed El Hedi ;
Jouini, Jamel ;
Duc Khuong Nguyen .
JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2011, 30 (07) :1387-1405
[7]   Oil price changes and industrial output in the MENA region: Nonlinearities and asymmetries [J].
Awartani, Basel ;
Maghyereh, Aktham ;
Ayton, Julie .
ENERGY, 2020, 196
[8]   Automobile manufacturers, electric vehicles and the price of oil [J].
Baur, Dirk G. ;
Todorova, Neda .
ENERGY ECONOMICS, 2018, 74 :252-262
[9]   The effects of oil and gasoline prices on confidence and stock return of the energy companies for Turkey and the US [J].
Bildirici, Melike E. ;
Badur, Mesut M. .
ENERGY, 2019, 173 :1234-1241
[10]   Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions [J].
Bouri, Elie ;
Gupta, Rangan ;
Tiwari, Aviral Kumar ;
Roubaud, David .
FINANCE RESEARCH LETTERS, 2017, 23 :87-95