Carbon peak forecast and low carbon policy choice of transportation industry in China: scenario prediction based on STIRPAT model

被引:22
|
作者
Li, Chuang [1 ]
Zhang, Zhecong [2 ]
Wang, Liping [3 ]
机构
[1] Jimei Univ, Sch Business Adm, Xiamen 361021, Peoples R China
[2] Henan Polytech Univ, Res Ctr Energy Econ, Jiaozuo 454000, Peoples R China
[3] Jimei Univ, Finance & Econ Coll, Xiamen 361021, Peoples R China
关键词
Transportation carbon emissions; STIRPAT model; Equipment structure; Scenario analysis; Peak prediction; SECTOR CO2 EMISSIONS; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; URBANIZATION; COUNTRIES; IMPACT;
D O I
10.1007/s11356-023-26549-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the second largest CO2 emission department, transportation industry's carbon peak and carbon reduction are very important for China to smoothly achieve carbon peak by 2030 and carbon neutrality by 2060. This paper analyzes the influencing factors from the perspectives of population, economy, technology and transportation equipment structure, subdivides 20 scenarios to predict the carbon emissions of the transportation industry of the whole China and various regions based on scenario analysis method, explores the carbon peak path, and puts forward corresponding policy recommendations. The study found that (1) from the overall trend of carbon emissions, the total carbon emissions of China's transportation industry showed an overall upward trend from 2010 to 2019 while the growth rate of carbon emissions showed a downward trend. (2) From the perspective of influencing factors, population size, urbanization rate, economic scale, traffic development, traffic carbon intensity, and highway mileage have positive effect on the growth rate of China's transportation CO2 emissions. The increase in the proportion of energy structure and railway cargo turnover has the negative effect on carbon emissions in the transportation industry. (3) From the prediction results at the national level, technological breakthroughs have a limited effect on carbon emission reduction in China's transportation industry, while structural equipment optimization has the most significant effect on its emission reduction. When technological breakthroughs and equipment structure optimization are carried out simultaneously, the carbon emission reduction effect is the best. The carbon peak of China's transportation industry would achieve as early as 2030, with a peak range of 70,355.54-84,136.17 million tons. (4) From the perspective of prediction results at the regional level, the provinces with rapid population growth and per capita GDP growth, the provinces with rapid population growth and per capita GDP growth, and the provinces with low population growth and per capita GDP growth should control their average annual growth rate of carbon emissions of the transportation industry to 1.13%, 0.72% and 0.58% respectively in 2019-2030, in order to ensure the achievements of the carbon peak target.
引用
收藏
页码:63250 / 63271
页数:22
相关论文
共 50 条
  • [1] Carbon peak forecast and low carbon policy choice of transportation industry in China: scenario prediction based on STIRPAT model
    Chuang Li
    Zhecong Zhang
    Liping Wang
    Environmental Science and Pollution Research, 2023, 30 : 63250 - 63271
  • [2] Prediction of Transportation Industry Carbon Peak in China
    Li N.
    Chen S.
    Liang X.
    Tian P.
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2024, 24 (01): : 2 - 13and54
  • [3] Prediction on Peak Values of Carbon Dioxide Emissions from the Chinese Transportation Industry Based on the SVR Model and Scenario Analysis
    Zhu, Changzheng
    Wang, Meng
    Du, Wenbo
    Journal of Advanced Transportation, 2020, 2020
  • [4] Prediction on Peak Values of Carbon Dioxide Emissions from the Chinese Transportation Industry Based on the SVR Model and Scenario Analysis
    Zhu, Changzheng
    Wang, Meng
    Du, Wenbo
    JOURNAL OF ADVANCED TRANSPORTATION, 2020, 2020
  • [5] Natural Peak Characteristics and Peak Forecast of Carbon Emissions in Transportation Industry
    Yang D.
    Li Y.
    Tian C.
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2024, 24 (02): : 34 - 44
  • [6] When will China achieve its carbon emission peak? A scenario analysis based on optimal control and the STIRPAT model
    Su, Kai
    Lee, Chien-Ming
    ECOLOGICAL INDICATORS, 2020, 112
  • [7] Carbon peak path of the Chinese iron and steel industry based on the LMDI−STIRPAT model
    Pan C.-C.
    Wang B.-W.
    Hou X.-W.
    Gu Y.-Q.
    Xing Y.
    Liu Y.-S.
    Wen W.
    Fang J.
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2023, 45 (06): : 1034 - 1044
  • [8] Building carbon peak scenario prediction in China using system dynamics model
    Zhang, Qianqian
    Li, Jingxin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (42) : 96019 - 96039
  • [9] Building carbon peak scenario prediction in China using system dynamics model
    Qianqian Zhang
    Jingxin Li
    Environmental Science and Pollution Research, 2023, 30 : 96019 - 96039
  • [10] Carbon Dioxide Emission Peak Study of Transportation Industry in China
    Zhu C.-Z.
    Yang S.
    Liu P.-B.
    Wang M.
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2022, 22 (06): : 291 - 299