Differences in Changes in Carbon Dioxide Emissions among China’s Transportation Subsectors: A Structural Decomposition Analysis

Xie, Rui; Huang, Linyuan; Tian, Boshi; Fang, Jiayu

doi:10.1080/1540496x.2018.1526076

Cited by 14 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2017, China's transportation sector contributed 4.4% of the country's GDP, but its energy consumption accounted for 9.8% of its total energy consumption (Yearbook, 2018). The rapid growth of energy consumption in China's transportation sector over the past forty years has exacerbated its CO 2 emissions, and the CO 2 emissions growth rate of its transportation sector is much higher than that of other industry sectors (Xie et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The Driving Factors of Carbon Emissions in China’s Transportation Sector: A Spatial Analysis

2021

Front. Energy Res.

View full text Add to dashboard Cite

Studies on the CO2 emissions from the transportation sector in China are increasing, but their findings are inconclusive. The main reason is that the spatial correlation of CO2 emissions from the regional transportation sector has been ignored in examinations of the driving factors of CO2 emissions from this sector. In this paper, new emission factors are adopted to calculate the CO2 emission levels from the transportation sector in Chinese provinces. By fully considering the spatial correlation of regional CO2 emissions and based on a two-way Durbin model incorporating both spatial and temporal fixed effects, the driving factors of CO2 emissions from the transportation sector in China are studied. The CO2 and spatial regression results for the transportation sector in China suggest the following: 1) Most of the regions with the highest CO2 emissions from the Chinese transportation sector are located on the east coast; they have gradually expanded over time to include the central and western regions. 2) The CO2 emissions from the transportation sector are higher in South China than in North China, and the regions with higher CO2 emissions have gradually shifted from north to south. 3) Transportation activity intensity, urbanization level, technological level, industrial structure and per capita GDP greatly impact CO2 emissions from the transportation sector in each province of China. Among these factors, transportation activity intensity, urbanization level, and per capita GDP exert not only direct effects but also indirect effects, whereas technological level and industrial structure exert only direct effects.

show abstract

Section: Introductionmentioning

confidence: 99%

The Driving Factors of Carbon Emissions in China’s Transportation Sector: A Spatial Analysis

2021

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…e energy consumption and carbon emissions in the transportation sector are very high [7,8]. e total energy consumption in the transportation sector of China was approximately 402 million tons of standard coal equivalent in 2017, an increase of 4.6% on the previous year.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models

Ren

Gao

Zhang

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In China, the transportation sector contributes about 18% of the total carbon emissions. This research contributes to measuring the energy and carbon emission efficiency (ECEE) of regional transportation systems (RTS) in China considering uncertain carbon emissions. A radial chance-constrained data envelopment analysis (DEA) model is developed to estimate the overall efficiency, and a nonradial chance-constrained DEA model is presented to evaluate the pure energy efficiency (PEE) and the pure carbon emission efficiency (PCEE). We prove that the proposed chance-constrained DEA models can effectively address the uncertain carbon emissions when measuring efficiency. We find that most of China’s RTS have low ECEE and the inefficiencies are mainly due to the lower gasoline utilization efficiency and the lower kerosene utilization efficiency. In addition, east China performs better than central China, and central China performs better than west China. In China, the unbalanced regional development of the ECEE in transportation corresponds with the unbalanced regional economic development. We provide some valuable suggestions based on the evaluation of the potential cuts in each kind of energy and the potential decreases in carbon emissions.

show abstract

En route to attaining a clean sustainable ecosystem: a nexus between solar energy technology, economic expansion and carbon emissions in China

Zhang

Anaba

et al. 2020

Environ Sci Pollut Res

View full text Add to dashboard Cite

Differences in Changes in Carbon Dioxide Emissions among China’s Transportation Subsectors: A Structural Decomposition Analysis

Cited by 14 publications

References 33 publications

The Driving Factors of Carbon Emissions in China’s Transportation Sector: A Spatial Analysis

The Driving Factors of Carbon Emissions in China’s Transportation Sector: A Spatial Analysis

Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models

En route to attaining a clean sustainable ecosystem: a nexus between solar energy technology, economic expansion and carbon emissions in China

Contact Info

Product

Resources

About