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Grey Correlation Analysis of Transportation Carbon Emissions under the Background of Carbon Peak and Carbon Neutrality

Author

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  • Yanming Sun

    (School of Transportation, Shandong University of Science and Technology, Qingdao 266590, China
    International Cooperation Center of National Development and Reform Commission, Beijing 100038, China)

  • Shixian Liu

    (School of Transportation, Shandong University of Science and Technology, Qingdao 266590, China)

  • Lei Li

    (International Cooperation Center of National Development and Reform Commission, Beijing 100038, China)

Abstract

Transportation carbon emission reduction has become an important driving point for China to achieve carbon peak and carbon neutrality. Based on the three-dimensional grey correlation analysis model, taking the five factors affecting transportation carbon emissions, namely, population, GDP, tertiary industry, energy structure and logistics scale, as the research object, the transportation carbon emissions of China’s low-carbon pilot and nonpilot provinces from 2010 to 2019 are calculated based on the Intergovernmental Panel on Climate Change (IPCC) carbon emission accounting method. The time series grey correlation degree and regional grey correlation degree of each influencing factor and traffic carbon emission are obtained using the provincial data, so as to provide policy suggestions for China to achieve the goal of “carbon peak and carbon neutrality” in the field of transportation. The results show that the descending order of the five influencing factors on transportation carbon emissions is: energy structure, logistics scale, population, GDP and tertiary industry. From 2010 to 2019, the time series grey correlation degree between the five influencing factors and transportation carbon emissions shows a fluctuating downward trend, but the impact of demographic factors has become more and more obvious in the past two years; According to the difference of grey correlation degree in different regions, the traffic development of various provinces in China is different, so it is necessary to formulate relevant policies individually.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3064-:d:799579
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    2. Zhengyang Li & Yukuan Wang & Yafeng Lu & Shravan Kumar Ghimire, 2023. "Spatio-Temporal Evolution of Carbon Emission in China’s Tertiary Industry: A Decomposition of Influencing Factors from the Perspective of Energy-Industry-Consumption," Energies, MDPI, vol. 16(15), pages 1-18, August.
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    5. Zhao, Hui & Hao, Xiang, 2024. "Location decision of electric vehicle charging station based on a novel grey correlation comprehensive evaluation multi-criteria decision method," Energy, Elsevier, vol. 299(C).

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