Decomposition analysis of energy consumption in Chinese transportation sector

Zhang, Ming; Li, Huanan; Zhou, Min; Mu, Hailin

doi:10.1016/j.apenergy.2010.12.077

Cited by 169 publications

(69 citation statements)

References 20 publications

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“…Wang et al analyzed the energy consumption status facing China [50][51][52][53]. Zhang et al [54] revealed the factors influencing the changes in transportation energy consumption by also using the LMDI method. Lin et al [17] adopted a quantile analysis to discuss the impact of GDP per capita (gross domestic product), energy intensity, carbon intensity, and total population on the carbon emissions of China's transportation sector over the period from 1980 to 2010.…”

Section: Literature Reviewmentioning

confidence: 99%

An Analysis of Decoupling and Influencing Factors of Carbon Emissions from the Transportation Sector in the Beijing-Tianjin-Hebei Area, China

Zhu

2017

Sustainability

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Abstract:The transport sector is the major green-house gas emitter and most rapidly growing sector in terms of consuming energy in China. Understanding the driving forces behind carbon emission is a prerequisite for reducing carbon emissions and finding a balance between economic growth and carbon emissions. The purpose of this paper is to identify the impact of the factors which influence the level of carbon emissions from the transportation sector in the Beijing-Tianjin-Hebei (BTH) area, China, using decomposition model, combined with a decoupling elasticity index. The results of our study indicate that: (1) changes in the level of carbon emissions from the transportation sector are not always synchronized with changes in economic growth. (2) The decoupling state between the carbon emissions and economic growth of Tianjin and Beijing can be roughly divided into two phases. The first phase was during the 2005 to 2009 period, when the decoupling state was pessimistic. The second phase was from 2009 to 2013, when the decoupling state became better overall and was mainly dominated by weak decoupling. Conversely, the decoupling state of Hebei was mainly weak during this period. (3) Economic growth and population size play positive roles in increasing the levels of transportation-related carbon emissions in BTH. However, the energy structure is a negative force. The effect of energy intensity always plays a negative role in Tianjin and Hebei, but positive in Beijing. The industrial structure effect shows a fluctuating trend, but the cumulative effect value is negative, and negative interaction is prominent. Finally, this paper gives some suggestions on how to develop low-carbon transport in BTH area.

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Section: Literature Reviewmentioning

confidence: 99%

An Analysis of Decoupling and Influencing Factors of Carbon Emissions from the Transportation Sector in the Beijing-Tianjin-Hebei Area, China

Zhu

2017

Sustainability

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“…The traditional auto industry, as one of China's powerhouses to propel economic growth [1], has gained people's worries in terms of energy conservation and environment protection. The rapid development of fossil-fueled vehicles has increased the dependence on oil.…”

Section: Does China Really Need To Develop Electric Vehicles?mentioning

confidence: 99%

The Current Dilemma and Future Path of China’s Electric Vehicles

et al. 2014

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China had set an ambitious development target of electric vehicles (EVs) to mitigate the environmental pollution. However, the actual situation of EVs far lagged behind the goals. This paper analyzes the elements impeding EVs' development, which are identified into four contributors, including deficient EV subsidy policies, embarrassed EV market, local protectionism, and unmatched charging infrastructure. Based on the actual situation of China, this paper discusses corresponding policy suggestions and explores the alternative roadmap of EVs. In the initial development stage of EVs, it is important to select the appropriate charging mode for EVs according to different characteristics across users. Moreover, the development of hybrid electric vehicle (HEV) may open the EV market faster than battery electric vehicle (BEV). In addition, the low-speed EVs may be a good choice for the rural market and should be well developed. With the promotion of EVs, China central and local governments should make rational policies to promote EVs' development, which is the crucial force to drive the uptake of EVs.

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“…The study suggested that the influencing factors can be divided into positive driving factors (labor productivity and sector scale) and negative driving factors (energy intensity and structure). Zhang et al [8] identified a relationship between transportation energy consumption and the factors it affects. They found that the production effect is the most important contributor to increasing energy consumption, while the intensity effect plays a dominant role in decreasing it.…”

Section: Introductionmentioning

confidence: 99%

LMDI Decomposition Analysis of Energy Consumption in the Korean Manufacturing Sector

Kim

2017

Sustainability

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Abstract:The energy consumption of Korea's manufacturing sector has sharply increased over the past 20 years. This paper decomposes the factors influencing energy consumption in this sector using the logarithmic mean Divisia index (LMDI) method and analyzes the specific characteristics of energy consumption from 1991 to 2011. The analysis reveals that the activity effect played a major role in increasing energy consumption. While the structure and intensity effects contributed to the reduction in energy consumption, the structure effect was greater than the intensity effect. Over the periods, the effects moved in opposite directions; that is, the structure effect decreased when the intensity effect increased and vice versa. The energy consumption by each industry is decomposed into two factors, activity and intensity effects. The increase of energy consumption due to the activity effect is largest in the petroleum and chemical industry, followed by the primary metal and non-ferrous industry, and the fabricated metal industry. The decrease of energy consumption due to the intensity effect is largest in the fabricated metal industry, followed by the primary metal and non-ferrous industry, and the non-metallic industry. The energy consumption due to intensity effect in the petroleum and chemical industry has risen. To save energy consumption more efficiently for addressing climate change in this sector, industrial restructuring and industry-specific energy saving policies should be introduced.

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Decomposition analysis of energy consumption in Chinese transportation sector

Cited by 169 publications

References 20 publications

An Analysis of Decoupling and Influencing Factors of Carbon Emissions from the Transportation Sector in the Beijing-Tianjin-Hebei Area, China

An Analysis of Decoupling and Influencing Factors of Carbon Emissions from the Transportation Sector in the Beijing-Tianjin-Hebei Area, China

The Current Dilemma and Future Path of China’s Electric Vehicles

LMDI Decomposition Analysis of Energy Consumption in the Korean Manufacturing Sector

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