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Analysis of Influencing Factors of Carbon Emissions in China’s Logistics Industry: A GDIM-Based Indicator Decomposition

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  • Changyou Zhang

    (School of Modern Post, Xi’an University of Posts & Telecommunications, Xi’an 710061, China)

  • Wenyu Zhang

    (School of Economics and Management, Xi’an University of Posts & Telecommunications, Xi’an 710061, China)

  • Weina Luo

    (School of Economics and Management, Xi’an University of Posts & Telecommunications, Xi’an 710061, China)

  • Xue Gao

    (School of Economics and Management, Xi’an University of Posts & Telecommunications, Xi’an 710061, China)

  • Bingchen Zhang

    (School of Economics and Management, Xi’an University of Posts & Telecommunications, Xi’an 710061, China)

Abstract

Due to increased global carbon dioxide emissions, the greenhouse effect is being aggravated, which has attracted wide attention. China is committed to promoting the low-carbon development of all industries. This paper analyzed the influencing factors of carbon emissions in the Chinese logistics industry, so as to identify the key factors that influence carbon emissions. Based on the carbon emission data of China’s logistics industry in 2000–2019, this paper applied the carbon emission coefficients issued by the Intergovernmental Panel on Climate Change. For the first time, the Generalized Divisia Index Method was used to analyze the degree of influence of the factors on carbon emissions. This method considered more variables and their relationships. The results showed that (1) the carbon emissions of the logistics industry were increased by 3.22 times from 2000 to 2018, and showed negative growth for the first time in 2019; (2) the added value of the logistics industry is the most important factor in increasing carbon emissions (with a contribution ratio of 65.45%), energy consumption and practical population size are the main factors in carbon emissions. The promotion of this industry is subjected to decreased per capita carbon emissions, which have a large impact on total carbon emissions; (3) the intensity of carbon output is the most important factor in the reduction of carbon emissions (with a contribution ratio of −29.1%), where the energy carbon intensity and per capita added value are the main influencing factors with regard to the reduction of carbon emissions, while energy intensity has a negative inhibitory effect on carbon emissions, and (4) the influencing factors have negative effects on the cumulative inhibition of carbon emissions in the logistics industry, to an extent that is far less than the integral promotion of carbon emissions. Finally, according to the research conclusions of this paper, it is feasible to make recommendations for the carbon reduction of the logistics industry.

Suggested Citation

  • Changyou Zhang & Wenyu Zhang & Weina Luo & Xue Gao & Bingchen Zhang, 2021. "Analysis of Influencing Factors of Carbon Emissions in China’s Logistics Industry: A GDIM-Based Indicator Decomposition," Energies, MDPI, vol. 14(18), pages 1-23, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5742-:d:634013
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    References listed on IDEAS

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    3. Cosimo Magazzino & Parisa Pakrooh & Mohammad Zoynul Abedin, 2024. "A decomposition and decoupling analysis for carbon dioxide emissions: evidence from OECD countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 28539-28566, November.
    4. Wu, Zhonghuan & Duan, Chunlin & Cui, Yuting & Qin, Rong, 2023. "Consumers' attitudes toward low-carbon consumption based on a computational model: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
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    6. Shiqing Zhang & Yaping Li & Zheng Liu & Xiaofei Kou & Wenlong Zheng, 2023. "Towards a Decoupling between Economic Expansion and Carbon Dioxide Emissions of the Transport Sector in the Yellow River Basin," Sustainability, MDPI, vol. 15(5), pages 1-26, February.
    7. Yanming Sun & Shixian Liu & Lei Li, 2022. "Grey Correlation Analysis of Transportation Carbon Emissions under the Background of Carbon Peak and Carbon Neutrality," Energies, MDPI, vol. 15(9), pages 1-24, April.
    8. Caifen Xu & Yu Zhang & Yangmeina Yang & Huiying Gao, 2023. "Carbon Peak Scenario Simulation of Manufacturing Carbon Emissions in Northeast China: Perspective of Structure Optimization," Energies, MDPI, vol. 16(13), pages 1-31, July.
    9. Juan Li & Qinmei Wang, 2022. "Impact of the Digital Economy on the Carbon Emissions of China’s Logistics Industry," Sustainability, MDPI, vol. 14(14), pages 1-18, July.

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