Research on the Green and Low-carbon Transformation Path of China’s Transportation Industry under the Goal of “Double Carbon”

Research on the Green and Low-carbon Transformation Path of China’s Transportation Industry under the Goal of “Double Carbon”

Authors

  • Zhenyi Zhang Guangxi Normal University, Guilin, Guangxi, China
  • Xuyang Huang Guangxi Normal University, Guilin, Guangxi, China
  • Shengxin Ling Guangxi Normal University, Guilin, Guangxi, China
  • Xiaomeng Long Guangxi Normal University, Guilin, Guangxi, China

DOI:

https://doi.org/10.53469/ijomsr.2025.08(05).12

Keywords:

Transportation carbon emissions, Monte Carlo simulation, Emission reduction path

Abstract

The transportation industry is one of the main sectors of China’s carbon emission sources. Accelerating the green and low-carbon transformation of the transportation industry will help China achieve the “double carbon” strategic goal and the construction of a beautiful China on schedule. This paper first measures the carbon emissions of China’s transportation industry from 2001 to 2022, then uses the logarithmic mean Divisia index (LMDI) method to decompose the driving factors of carbon emissions, and finally uses Monte Carlo simulation to set three different scenarios: benchmark scenario, technological progress scenario and low-carbon target scenario. The dynamic impact of different policy paths on the carbon emissions of the transportation industry from 2023 to 2030 and its peak potential are studied, and the strategies and paths of green and low-carbon transformation of transportation are proposed. First, the most important driving factor for carbon emissions in China ‘s transportation industry is economic scale. Second, the promoting factors are fuel energy-oil ratio and traffic energy intensity. The fuel energy-oil ratio has the greatest emission reduction effect, while the effect of traffic energy intensity on carbon emissions is not stable, and there are stage differences. Third, the results of Monte Carlo simulation show that compared with the benchmark scenario, the emission reduction intensity of the technological progress scenario can reach up to 40.00 %, and the emission reduction intensity of the low-carbon target scenario can reach up to 57.29 %. In addition, among the three scenarios, only under the low-carbon target scenario, it is possible to achieve the carbon peak target of the transportation industry in 2030, and the other two scenarios have not yet reached the peak inflection point. Fourthly, it is found that the low-carbon target scenario is the most feasible way to achieve the overall carbon peak goal of China ‘s transportation industry, and the emission reduction path with the core idea of “transportation energy transformation as the focus and carbon emission double control as the basis” is proposed. Finally, according to the research conclusions, this paper provides relevant policy recommendations for the transportation industry to achieve the 2030 carbon peak goal.

References

International Energy Agency. China key energy statistics [EB/OL].

Hou X R, Lv T, Xu J, et al. Electrification transition and carbon emission reduction of urban passenger transportation systems—A case study of Shenzhen, China[J]. Sustainable Cities and Society, 2023, 93

Zhang G. X., Su Z. X. Decomposition of Influencing Factors and Scenario Prediction of Carbon Emissions from Transportation in the Yellow River Basin[J]. Management Review, 2020, 32 (12): 283 - 294.

Wang J. T., Yan Y., Huang Q. S., et al. Analysis on the Potential of Carbon Emission Reduction in China’s Transportation[J]. Science and Technology Management Research, 2021, 41 (02): 200 - 210.

DARIDO G, TORRES-MONTOYA M, Mehndiratta S. Urban Transport and CO2 Emissions: Some Evidence from Chinese Cities[J]. Wiley Interdisciplinary Reviews Energy & Environment, 2014, 3(2):122-155

WEN L, LI Y. The Causality Relationships between Energy-related CO2 Emissions and its Influencing Factors with Linear and Nonlinear Granger Causality Tests[J].Polish Journal of Environmental Studies, 2017, 26(3):1313-1322

Wang C., Zhao Y. L., Wang Y. J., et al. Transportation CO2 emission decoupling: An assessment of the Eurasian logistics corridor [J]. Transportation Research Part D: Transport and Environment, 2020, 86: 102486.

Chen F, Zhao T, Liao Z M. The impact of technology-environmental innovation on CO2 emissions in China’s transportation sector [J]. Environmental Science and Pollution Research, 2020, 27(23):29485-29501.

Guo J., Liu R. J., Sun P. Influencing Factors of Carbon Dioxide Emissions in China: Empirical Research Based on Regions[J]. Mathematical Practice and Cognition, 2013, 43 (11): 59 - 72.

Zhao X. M., Zhang S., Yuan Z. W. Spatial Measurement Test of Environmental Kuznets Curve of Carbon Emissions from Transportation in China[J]. Statistics and Decision-making, 2021, 37 (04): 23 - 26.

LIU ManGzhi, ZHANG XiGxi, ZHANG MengGya, etal. Influencingfactors of carbon emissionsin transportation industrybased on CGD function and LMDIdecomposition model: China asan example [J]. EnvironmentalImpact AssessmentReview, 2021, 90: 106623.

SUNHuaGping, HULingGxiang, GENGYong, et al. Uncovering impact factors of carbon emissions from transportation sector: evidence from China’s Yangtze River DeltaArea [J]. Mitigationand Adaptation Strategiesfor Global Change, 2020, 25: 1423G1437.

Chai J., Xing L. M., Zhou Y. H., et al. Research on the Impact of Transportation Structure Adjustment on Carbon Emissions[J]. Operations Research and Management, 2017, 26 (07): 110 - 116.

Sporkmann J., Liu Y., Spinler S. Carbon emissions from European land transportation: A comprehensive analysis [J]. Transportation Research Part D: Transport and Environment, 2023, 121: 103851.

WANG HaiGlin, OU XunGmin, ZHANG XiGliang. Mode, technology, energy consumption, and resulting CO2 emissionsinChina’stransportsectorupto2050[J]. Energy Policy,2017,109:719G733.

Huang Z. H., Ji L., Yin J., et al. Research on the Peaking Path of Carbon Dioxide Emissions from Road Transportation in China[J]. Environmental Science Research, 2022, 35 (02): 385 - 393.

Yuan Z. Y., Li Z. Y., Kang L. P., et al. A Review of Research on Low-carbon Emission Measures and Paths in China’s Transportation Sector[J]. Advances in Climate Change Research, 2021, 17 (01): 27 - 35.

Lin B. Q., Liu X. Y. Carbon Emissions in China’s Urbanization Stage: Influencing Factors and Reduction Strategies[J]. Economic Research, 2010, 45 (8): 66 - 78.

Lin B Q, Xie C P. Reduction potential of CO2 emissions in China’s transport industry[J]. Renewable and Sustainable Energy Reviews, 2014, 33: 689-700.

Shao S., Zhang X., Zhao X. R. Empirical Decomposition and Peaking Path of Carbon Emissions in China’s Manufacturing Industry: Generalized Divisia Index Decomposition and Dynamic Scenario Analysis[J]. China Industrial Economy, 2017 (03): 44 - 63.

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Published

2025-05-29

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