Research on the Peak Carbon Dioxide Emission Strategy of Chinese Port Based on Carbon Emission Estimation

被引:10
作者
Fan, Shenghai [1 ,2 ]
Lu, Ziai [1 ]
机构
[1] Hohai Univ, Coll Harbour Coastal & Offshore Engn, Nanjing, Peoples R China
[2] Yancheng Inst Technol, Sch Mat Engn, Yancheng, Peoples R China
关键词
peak carbon dioxide emission; STIRPAT model; scenario analysis; Chinese ports; container throughput;
D O I
10.3389/fenvs.2021.789970
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ports are an important node of a country's external goods circulation, as well as large consumers of energy consumption. This paper uses the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model to study the trend of carbon emissions under different scenarios based on the energy consumption data of Chinese ports from 2010 to 2019 and analyzes the possibility of the peak carbon dioxide emission of Chinese ports. The results show that the carbon emissions of Chinese ports have peaked in 2013 under most scenarios, with CO2 emission of 9,213,500 tons and carbon emission intensity of 0.783 tons of CO2/10(3)-tons of throughput. In addition, considering other scenarios, carbon emission action strategies should be formulated according to the differences of carbon emission peaking conditions of specific ports.
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页数:6
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共 22 条
  • [11] Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement
    Le Quere, Corinne
    Jackson, Robert B.
    Jones, Matthew W.
    Smith, Adam J. P.
    Abernethy, Sam
    Andrew, Robbie M.
    De-Gol, Anthony J.
    Willis, David R.
    Shan, Yuli
    Canadell, Josep G.
    Friedlingstein, Pierre
    Creutzig, Felix
    Peters, Glen P.
    [J]. NATURE CLIMATE CHANGE, 2020, 10 (07) : 647 - +
  • [12] Steps to China's carbon peak
    Liu, Zhu
    Guan, Dabo
    Moore, Scott
    Lee, Henry
    Su, Jun
    Zhang, Qiang
    [J]. NATURE, 2015, 522 (7556) : 279 - 281
  • [13] Mo J., 2018, EC RES J, V53, P168, DOI [10.16529/j.cnki.11-4613/f.2020.10.007, DOI 10.16529/J.CNKI.11-4613/F.2020.10.007]
  • [14] Woldegebrial Z., 2018, SUSTAINABILITY-BASEL, V10, P2963, DOI [10.3390/su10092963, DOI 10.3390/SU10092963]
  • [15] Wu J.N., 2020, MATH PRACT COGN, V50, P27
  • [16] A dynamic analysis of air pollution emissions in China: Evidence from nonparametric additive regression models
    Xu, Bin
    Luo, Liangqing
    Lin, Boqiang
    [J]. ECOLOGICAL INDICATORS, 2016, 63 : 346 - 358
  • [17] Reexamining the relationship between urbanization and pollutant emissions in China based on the STIRPAT model
    Xu, Fangjin
    Huang, Qingxu
    Yue, Huanbi
    He, Chunyang
    Wang, Changbo
    Zhang, Han
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 273
  • [18] Quantification and driving force analysis of provincial-level carbon emissions in China
    Ye, Bin
    Jiang, Jingling
    Li, Changsheng
    Miao, Lixin
    Tang, Jie
    [J]. APPLIED ENERGY, 2017, 198 : 223 - 238
  • [19] Optimization of Chinese coal-fired power plants for cleaner production using Bayesian network
    Zhao, Xuan
    Peng, Benhong
    Elahi, Ehsan
    Zheng, Chaoyu
    Wan, Anxia
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 273
  • [20] Does the extended producer responsibility system promote the green technological innovation of enterprises? An empirical study based on the difference-in-differences model
    Zhao, Yinyin
    Peng, Benhong
    Elahi, Ehsan
    Wan, Anxia
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 319