Literature DB >> 30919183

Decoupling and decomposition analysis of transportation carbon emissions at the provincial level in China: perspective from the 11th and 12th Five-Year Plan periods.

Caiquan Bai1, Yibing Chen2, Xing Yi3, Chen Feng4.   

Abstract

Based on the Tapio decoupling model, this paper calculates the decoupling indexes of the transportation output and the transportation carbon emissions of China's 30 provinces and municipalities from 2006 to 2015. The research period (2006-2015) is divided into the 11th Five-Year Plan period (FYP) (2006-2010) and the 12th FYP period (2011-2015). On this basis, we conduct a comparative analysis to describe the spatial-temporal evolution of the decoupling states of transportation output and transportation carbon emissions. Furthermore, in order to deeply analyze the reasons for the evolution of the decoupling states during the 12th FYP period compared with the 11th FYP period, the LMDI decomposition method is used to decompose and compare the factors affecting the transportation carbon emissions in the two periods. The results show the following: (1) from the national point of view, the decoupling relationship between transportation output and transportation carbon emissions improved gradually, with small fluctuations from 2006 to 2015; (2) from the provincial point of view, their decoupling states mainly were expansive negative decoupling and weak decoupling, and the spatial evolution of the two decoupling states is significantly different; (3) the reductions in the transportation energy intensity and transportation intensity were the main factors inhibiting the increase of transportation carbon emissions in the 11th and 12th FYP periods, respectively. The growth of per-capita wealth was the decisive factor driving the increase in transportation carbon emissions in the two periods; (4) in contrast to the causes of decreases in the carbon emission variations in the 11th FYP period, in the 12th FYP period, the significant reduction in transportation intensity is the main reason causing the significant decrease of carbon emission variations. However, the transportation energy intensity and the transportation intensity fail to reduce simultaneously in the two periods.

Entities:  

Keywords:  Decoupling; Driving factor; LMDI; Spatial-temporal evolution; Transportation carbon emissions; Transportation output

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Substances:

Year:  2019        PMID: 30919183     DOI: 10.1007/s11356-019-04774-2

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  The CO2 emission changes in China's transportation sector during 1992-2015: a structural decomposition analysis.

Authors:  Lian Lian; Jingyan Lin; Ronghan Yao; Wen Tian
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-07       Impact factor: 4.223

2.  Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China.

Authors:  Xiaohong Jiang; Jianxiao Ma; Huizhe Zhu; Xiucheng Guo; Zhaoguo Huang
Journal:  Int J Environ Res Public Health       Date:  2020-11-15       Impact factor: 3.390

  2 in total

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