Road transport-related energy consumption: Analysis of driving factors in Tunisia

Mraïhi, Rafaa; Abdallah, Khaled Ben; Abid, Mehdi

doi:10.1016/j.enpol.2013.07.007

Cited by 63 publications

(24 citation statements)

References 14 publications

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“…Marco Mazzarino [44] identified the factors determining the variety of carbon dioxide emissions in Italy's transport sector, thus evaluating the impact of that nation's transport sector in terms of global warming. Mraihi et al [45] adopted the LMDI method to identify the driving factors of energy consumption changes for road-based modes of transport over the period from 1990 to 2006 [14]. The fact is, CO 2 emissions are just one type of pollution emissions.…”

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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“…Moreover, some scholars have decomposed the energy and carbon emissions in the transportation industry. Mraihi et al [17] used the LMDI decomposition method to analyze the impacts of the fuel efficiency of road vehicles, vehicle intensity, economic growth, and urbanization on road transport-related energy consumption in Tunisia. The results indicated that the fuel efficiency of road vehicles and vehicle intensity are the main inhibiting factors of energy consumption growth.…”

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confidence: 99%

“…Although some scholars have been devoted to investigating the carbon emission reductions of an individual link of the logistics process [16], achieving carbon emission reduction in a single link does not mean achieving the minimization of carbon emissions in the whole logistics industry, because there is a "trade-off" phenomenon in the logistics sector [19,[29][30][31]. Secondly, the traditional LMDI model based on Kaya identities was adopted to analyze the dominating factors of CO 2 emissions through examining the factors of economic growth, technical progress, and population size [16,17,19,32]. There are still few observations at present taking into account urbanization effects as influencing factors when analyzing the impacts on logistics CO 2 emissions.…”

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confidence: 99%

Decomposition Analysis of Energy-Related CO2 Emissions and Decoupling Status in China’s Logistics Industry

2018

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The logistics industry is one of the major fossil energy consumers and CO 2 emitters in China, which plays an important role in achieving sustainable development as well as China's emission reduction targets. To identify the key influencing factors regarding the logistics of CO 2 reductions and ensure that the development of China's logistics industry becomes less dependent on CO 2 emissions, this paper built an extended log-mean Divisia index model (LMDI) to decompose the logistics of CO 2 changes between 1985 and 2015. Then, we introduced a decoupling model that combined the decomposition results to analyze the decoupling state and identify the main factors that influenced the decoupling relationship. The results show the following. (1) The urbanization effect was the decisive factor in CO 2 emissions increases, followed by structural adjustment effects, while technological progress effects played a major role in inhibiting CO 2 emissions. Particularly, the energy structure showed great potential for CO 2 emissions reduction in China.(2) Highways appeared to have dominant promoting roles in increasing CO 2 emissions regarding transportation structure effects; highways and aviation proved to have the largest impact on CO 2 emission reduction. (3) There has been an increase in the number of expansive negative decoupling states between 2005 and 2015, which implies that the development of the logistics industry has become more dependent on CO 2 emissions. Finally, this paper puts forward some policy implications for CO 2 emission reductions in China's logistics industry.

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“…It accounts for 26.9% of total energy used by the country (IEA, 2012b) and responsible for more than 30% of CO 2 emissions in 2010 (Mraihi et al 2013). …”

Section: Introductionmentioning

confidence: 99%

On the causal nexus of road transport CO2 emissions and macroeconomic variables in Tunisia: Evidence from combined cointegration tests

Shahbaz

Khraief

Jemaa

2015

Renewable and Sustainable Energy Reviews

111

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This paper investigates the causal relationship between road transportation energy consumption, fuel prices, transport sector value added and CO 2 emissions in Tunisia for the period 1980-2012. We apply the newly developed combined cointegration test proposed by Bayer and Hanck (2013) and the ARDL bounds testing approach to cointegration to establish the existence of long-run relationship in presence of structural breaks. The direction of causality between these variables is determined via vector error correction model (VECM).Our empirical exercise reveals that the cointegration is present. Energy consumption adds in CO 2 emissions. Fuel prices decline CO 2 emissions. Road infrastructure boosts in CO 2 emissions. Transport value-added also increases CO 2 emissions. The causality analysis indicates the bidirectional casual relationship between energy consumption and CO 2 emissions. Road infrastructure causes CO 2 emissions and similar is true from opposite side in Granger sense. The bidirectional causality is also found between transport value-added and CO 2 emissions. Fuel prices cause CO 2 emissions, energy consumption, road infrastructure and transport value-added. This paper provides new insights to policy makers to design a comprehensive energy, transport and environment policies for sustainable economic growth in long run.

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Road transport-related energy consumption: Analysis of driving factors in Tunisia

Cited by 63 publications

References 14 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

Decomposition Analysis of Energy-Related CO2 Emissions and Decoupling Status in China’s Logistics Industry

On the causal nexus of road transport CO2 emissions and macroeconomic variables in Tunisia: Evidence from combined cointegration tests

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