International Oil Price's Impacts on Carbon Emission in China's Transportation Industry

被引:2
作者
Zhang, Guoxing [1 ]
Cheng, Sujie [1 ]
机构
[1] Lanzhou Univ, Sch Management, Lanzhou, Gansu, Peoples R China
来源
JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT-JIEM | 2014年 / 7卷 / 04期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
international oil price; transportation industry; carbon emission; PLSR model;
D O I
10.3926/jiem.944
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose: This paper analyses the impact mechanism of international oil price on the industrial carbon emission, and uses the partial least squares regression model to study international oil price's impact on carbon emissions in China's transportation industry. Design/methodology/approach: This paper chooses five independent variables of GDP (Gross Domestic Product), international oil price, private car population, passenger and freight transportation volume as impact factors to investigate industrial carbon emissions, the paper also analyses the impact mechanism of international oil price on the industrial carbon emission, and finally the paper uses the PLSR (partial least squares regression) model to study international oil price's impact on carbon emissions in China's transportation industry. With the independent variables' historical data from 1994 to 2011 as a sample, the fitting of the industry carbon emissions is satisfying. And based on the data of 2011, the paper maintains the private car owning, passenger and freight transportation volume to study international oil prices' impact on the industry carbon emissions at different levels of GDP. Findings: The results show that: with the same GDP growth, the industry carbon emissions increase with the rise in international oil prices, and vice versa, the industry carbon emissions decrease; and lastly when GDP increases to a certain extent, in both cases of international oil prices' rise or fall, the industry carbon emissions will go up, and the industry carbon emissions increase even faster while the energy prices are rising.` Practical implications: Limit the growth in private-vehicle ownership, change China's transport sector within the next short-term in the structure of energy consumption and put forward China's new energy, alternative energy sources and renewable energy application so as to weaken the dependence on international oil, and indirectly slowdown China's GDP growth rate, which are all possible solutions to reduce China's transportation industry carbon emission. Originality/value: The paper presents a method to study international oil prices' impact on the industry carbon emissions at different levels of GDP; and draws some corresponding proposals on industry carbon emission reduction.
引用
收藏
页码:749 / 768
页数:20
相关论文
共 29 条
  • [1] Beijing: China New Energy Chamber Commerce, 2012, 2011 2012 CHIN NEW E
  • [2] Beijing: Tsinghua University Press, 2001, COAL BASED DIVERSIFI
  • [3] [曹淑艳 Cao Shuyan], 2010, [资源科学, Resources Science], V32, P2046
  • [4] Transport energy modeling with meta-heuristic harmony search algorithm, an application to Turkey
    Ceylan, Huseyin
    Ceylan, Halim
    HaIdenbilen, Soner
    Baskan, Ozgur
    [J]. ENERGY POLICY, 2008, 36 (07) : 2527 - 2535
  • [5] Chai J, 2012, CHINA POPULATION RES, V22, P33
  • [6] Da Y., 2004, CHINA IND EC, V4, P29
  • [7] Fisher-Vanden K, 2004, RESOUR ENERGY ECON, V26, P77, DOI 10.1016/j.resenecco.2003.07.002
  • [8] Transport energy demand modeling of South Korea using artificial neural network
    Geem, Zong Woo
    [J]. ENERGY POLICY, 2011, 39 (08) : 4644 - 4650
  • [9] Genetic algorithm approach to estimate transport energy demand in Turkey
    Haidenbilen, S
    Ceylan, H
    [J]. ENERGY POLICY, 2005, 33 (01) : 89 - 98
  • [10] Energy structure, marginal efficiency and substitution rate: An empirical study of China
    Han, Zhi-Yong
    Fan, Ying
    Jiao, Jian-Ling
    Yan, Ji-Sheng
    Wei, Yi-Ming
    [J]. ENERGY, 2007, 32 (06) : 935 - 942