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

Zhu, Xiaoping; Li, Rongrong

doi:10.3390/su9050722

Cited by 49 publications

(35 citation statements)

References 69 publications

(87 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results indicated that the fuel efficiency of road vehicles and vehicle intensity are the main inhibiting factors of energy consumption growth. Zhu et al [18] decomposed the carbon emissions from the transport sector in the Beijing-Tianjin-Hebei region by employing the modified LMDI approach, and pointed out that energy structure and energy intensity played negative roles regarding increases in CO 2 emissions. A few studies focused on an analysis of the influencing factors of the CO 2 emissions of the logistics industry.…”

mentioning

confidence: 99%

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

2018

View full text Add to dashboard Cite

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.

show abstract

mentioning

confidence: 99%

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

2018

View full text Add to dashboard Cite

show abstract

“…Wang et al [18] estimated the decoupling state between the development of transportation and carbon emissions in China from 2000 to 2015, and analyzed the influencing factors of traffic carbon emissions. Focused on Beijing, Tianjin and Hebei, Zhu and Li [28] identified the impact of the factors influencing the CO 2 emissions in the transportation sector during the 2005 to 2013 period, and found that traffic CO 2 emissions and economic growth were not always synchronized. The comparison of results between previous research and this study was shown in Table 5.…”

Section: Discussionmentioning

confidence: 99%

“…Tangshan and Langfang, with far higher traffic CO 2 emissions than other cities, should be paid more attention. According to the research results from Zhu and Li [28], the accumulative effect of industrial structure had prominent influence on decreasing the transportation-related carbon emissions in Beijing-Tianjin-Hebei Area, China during the period 2005 to 2013. Thus, the traditional industry dominated cities should continue to optimize their industrial structure by introducing new and high technology and developing industrial tourism, etc.…”

Section: Discussionmentioning

confidence: 99%

Decoupling Analysis of CO2 Emissions in Transportation Sector from Economic Growth during 1995–2015 for Six Cities in Hebei, China

et al. 2018

View full text Add to dashboard Cite

The transport sector is one of the most important and potential sectors to achieve low-carbon development in China. As economic growth is desirable, but high-level traffic CO 2 emissions are not. This paper estimated the on-road traffic CO 2 emissions and investigated the decoupling states of traffic CO 2 emissions from economic growth for six cities in Hebei province from 1995 to 2015. In 2015, the on-road traffic CO 2 emissions were ranked, as follows: Tangshan (4.75 Mt) > Handan (3.38 Mt) > Baoding (1.38 Mt) > Zhangjiakou (1.05 Mt) > Langfang (1.01 Mt) > Chengde (0.46 Mt). Two turning points of traffic CO 2 emissions during the study period were found. From 2008 to 2013, the traffic CO 2 emissions increased more rapidly than before. After 2013, the traffic CO 2 emissions of three cities (Baoding, Handan and Chengde) began to decrease, and the traffic CO 2 emissions' growth rates of the other three cities (Zhangjiakou, Langfang and Tangshan) became lower than before. The decoupling states during 1996-2015 can be divided into four phases: decoupling-coupling concurrence stage (1996)(1997)(1998)(1999)(2000), decoupling dominant stage (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008), coupling dominant stage (2009)(2010)(2011)(2012)(2013), and improvement stage (2014)(2015). Chengde and Baoding were identified due to their good local practice on decoupling CO 2 emissions in transport sector from economic growth. These results will enrich the greenhouse gas inventory of China at city level and provide scientific support to achieve the mitigation of CO 2 emissions in the transport sector.

show abstract

“…The key to developing polices that reduce carbon emissions is to analyse the influencing factors and driving mechanisms underlying changes in carbon emissions from the relationships between industrial structure and carbon emissions [1,[3][4][5], transportation and carbon emissions [6][7][8][9][10], building forms and carbon emissions [11][12][13], urban planning and carbon emissions [14][15][16], etc. Economic growth and population scale contribute greatly to China's carbon emissions [17].…”

Section: Introductionmentioning

confidence: 99%

Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province

Xia

et al. 2017

Energies

View full text Add to dashboard Cite

Climate change has gained widespread attention, and the rapid growth of the economy in China has generated a considerable amount of carbon emissions. Zhejiang Province was selected as a study area. First, the energy-related carbon emissions from 2000 to 2014 were accounted for, and then the Logarithmic Mean Divisia Index (LMDI) decomposition model was applied to analyse the driving factors underlying the carbon emissions. Finally, three scenarios (inertia, comparative decoupling and absolute decoupling) for 2020 and 2030 were simulated based on the low-carbon city and Human Impact Population Affluence Technology (IPAT) models. The results showed (1) carbon emissions increased by 1.66 times from 2000 to 2014, and trends of carbon emissions were used to divide the study period into three phases (rapid, medium growth and slow decrease phases, with annual growth rates of 12.60%, 4.77% and −1.24%, respectively); (2) the energy intensity effect from 2000-2011 inhibited carbon emissions but was exceeded by the economic output effect, which increased emissions, whereas the energy intensity effect from 2011-2014 outweighed the economic output effect; (3) the scenario analyses revealed that both the comparative and absolute decoupling scenarios would remain consistent with the carbon emissions boundaries in 2020 and 2030, but the comparative decoupling scenario was more reasonable for sustainable development. In addition, appropriate design of emission trading scheme could help to achieve the comparative decoupling by financial incentives.

show abstract

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

Cited by 49 publications

References 69 publications

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

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

Decoupling Analysis of CO2 Emissions in Transportation Sector from Economic Growth during 1995–2015 for Six Cities in Hebei, China

Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province

Contact Info

Product

Resources

About