Carbon emissions growth and road freight: Analysis of the influencing factors in Tunisia

Mraïhi, Rafaa; Harizi, Riadh; Bouzidi, M.

doi:10.1016/j.tranpol.2015.05.018

Cited by 24 publications

(15 citation statements)

References 32 publications

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“…M'raihi et al [22] used LMDI to decompose Tunisia's carbon emissions from road freight from 1990 to 2006 into average oil emissions, oil consumption share of road freight, oil consumption intensity of road fright, road freight intensity, and GDP. The results show that economic growth is a major factor in the increase of carbon emissions in the transportation industry, which is the same as the study in this paper.…”

Section: Discussion On the Comparison Between The Results Of This Papmentioning

confidence: 99%

“…Gambhir et al [21] used the LMDI decomposition method to determine the main factors of China's road transportation sector carbon emissions and set different scenarios to estimate changes in costs and carbon emissions. M'raihi et al [22] investigated the effects of the main driving factors of carbon emissions changes from road freight transportation in Tunisia using decomposition analysis, mainly the LMDI, and the results showed that economic growth and average petroleum emissions were the main driving factors.…”

Section: Literature Review Of the Influencing Factors Of Carbon Emissmentioning

confidence: 99%

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Influencing Factors and Decoupling Elasticity of China’s Transportation Carbon Emissions

Wang

Zhu

et al. 2018

Energies

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Abstract:Transportation is an important source of carbon emissions in China. Reduction in carbon emissions in the transportation sector plays a key role in the success of China's energy conservation and emissions reduction. This paper, for the first time, analyzes the drivers of carbon emissions in China's transportation sector from 2000 to 2015 using the Generalized Divisia Index Method (GDIM). Based on this analysis, we use the improved Tapio model to estimate the decoupling elasticity between the development of China's transportation industry and carbon emissions. The results show that: (1) the added value of transportation, energy consumption and per capita carbon emissions in transportation have always been major contributors to China's carbon emissions from transportation. Energy carbon emission intensity is a key factor in reducing carbon emissions in transportation. The carbon intensity of the added value and the energy intensity have a continuous effect on carbon emissions in transportation; (2) compared with the increasing factors, the decreasing factors have a limited effect on inhibiting the increase in carbon emissions in China's transportation industry; (3) compared with the total carbon emissions decoupling state, the per capita decoupling state can more accurately reflect the relationship between transportation and carbon emissions in China. The state of decoupling between the development of the transportation industry and carbon emissions in China is relatively poor, with a worsening trend after a short period of improvement; (4) the decoupling of transportation and carbon emissions has made energy-saving elasticity more important than the per capita emissions reduction elasticity effect. Based on the conclusions of this study, this paper puts forward some policy suggestions for reducing carbon emissions in the transportation industry.

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Section: Discussion On the Comparison Between The Results Of This Papmentioning

confidence: 99%

Section: Literature Review Of the Influencing Factors Of Carbon Emissmentioning

confidence: 99%

Influencing Factors and Decoupling Elasticity of China’s Transportation Carbon Emissions

Wang

Zhu

et al. 2018

Energies

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show abstract

“…In addition to the various socio-economic factors considered by scholars, an increasing number of studies suggest that transportation development exerts an extensive and lasting influence on the level of CO 2 emissions. Taking Tunisia for example, road freight transport intensity is second only to economic growth in terms of CO 2 emissions [36]. A similar study was also undertaken in European countries [37].…”

Section: Literature Reviewmentioning

confidence: 98%

Examining the Factors Influencing Transport Sector CO2 Emissions and Their Efficiency in Central China

Sun

Xue

2019

Sustainability

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The fast development of the transport sector has resulted in high energy consumption and carbon dioxide (CO2) emissions in China. Though existing studies are concerned with the factors influencing transport sector CO2 emissions at the national level (or in megacities), little attention has been paid to the comprehensive impact of socio-economic, urban form, and transportation development on transport sector carbon emissions and emissions efficiency in central China. This paper examines the comprehensive impact of the transport sector’s carbon emissions from six provinces in central China, during the period from 2005 to 2016, based on the panel data model. The dynamic change of CO2 emissions efficiency is then analyzed using the Global Malmquist Luenberger Index. The results indicate that, firstly, economic growth, road density, the number of private vehicles, and the number of public vehicles have caused greater CO2 emissions during the study period, while the freight turnover, urbanization level, and urban population density had repressing effects on CO2 emissions. Secondly, an uneven distribution of CO2 emissions and CO2 emissions efficiency was found among different provinces in central China. Thirdly, changes in CO2 emissions efficiency were mainly due to technical changes. Finally, we present some policy suggestions to mitigate transport sector CO2 emissions in central China.

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“…These studies have been primarily concerned with the general transportation level [26][27][28][29]. With regard to specific sub-modes, most of the studies that have looked at the transportation sector have concentrated on the road sector, since it is the most widely used door-to-door transportation mode [30][31][32]. Since CO 2 emissions from the transport sector of China have witnessed rapid growth in recent years, the LMDI method has been applied to decompose CO 2 emissions changes in the transport sector of China at national, regional, and provincial levels [33].…”

Section: A Brief Literature Reviewmentioning

confidence: 99%

Uncovering CO2 Emissions Patterns from China-Oriented International Maritime Transport: Decomposition and Decoupling Analysis

Yang

2019

Sustainability

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Given that most commodity transportation depends on the maritime industry, the growing economy and increasing international trade volume are expected to accelerate the development of shipping activities and thus increase associated CO2 emissions. In order to identify the driving factors of CO2 emissions from China’s international shipping and find efficient mitigation strategies, this paper first estimates the CO2 emissions and presents the CO2 emissions features from 2000 to 2017. Second, the Logarithmic Mean Divisia Index (LMDI) method is applied to decompose the changes in CO2 emissions. Finally, the decoupling index is introduced to quantitatively examine the decoupling relationship between economic growth and CO2 emissions. The factors affecting the decoupling relationship are analyzed according to the LMDI results. The results indicate that CO2 emissions in maritime transport activities have experienced rapid growth during the study period. Economic growth appears to be the principal factor driving the CO2 emissions growth, whereas the overall effects of energy intensity and the commodity structure play a significant role in inhibiting CO2 emissions. The decoupling state over the study period has experienced four decoupling stages, with a distinct tendency towards weak decoupling. Economic activity has proven to be the most significant indicator influencing the decoupling relationship during the study period.

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Carbon emissions growth and road freight: Analysis of the influencing factors in Tunisia

Cited by 24 publications

References 32 publications

Influencing Factors and Decoupling Elasticity of China’s Transportation Carbon Emissions

Influencing Factors and Decoupling Elasticity of China’s Transportation Carbon Emissions

Examining the Factors Influencing Transport Sector CO2 Emissions and Their Efficiency in Central China

Uncovering CO2 Emissions Patterns from China-Oriented International Maritime Transport: Decomposition and Decoupling Analysis

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