物流科技2024,Vol.47Issue(6) :89-93.DOI:10.13714/j.cnki.1002-3100.2024.06.023

中国水运业碳排放影响因素分解与达峰情景预测

Analysis of Influencing Factors and Peak Scenario Prediction of Waterway Transport Sector Carbon Emissions in China

鞠可一 李善志 马雨静
物流科技2024,Vol.47Issue(6) :89-93.DOI:10.13714/j.cnki.1002-3100.2024.06.023

中国水运业碳排放影响因素分解与达峰情景预测

Analysis of Influencing Factors and Peak Scenario Prediction of Waterway Transport Sector Carbon Emissions in China

鞠可一 1李善志 2马雨静2
扫码查看

作者信息

  • 1. 江苏科技大学 经济管理学院,江苏 镇江 212000;南京航空航天大学能源软科学研究中心,江苏 南京 211106
  • 2. 江苏科技大学 经济管理学院,江苏 镇江 212000
  • 折叠

摘要

系统分析碳排放影响因素,预测碳达峰时间和峰值,对于促进中国水运业的绿色低碳发展具有重要意义.首先采用排放因子法测算水运业 2001-2020 年的碳排放量;其次构建LMDI分解模型分析碳排放影响因素;最后在STIRPAT模型的基础上,运用情景分析法,设定九种情景来预测 2021-2035 年中国水运业的碳排放峰值.结果表明:1)2001-2020 年,中国水运业碳排放量整体呈上升趋势.2)经济活动是碳排放增长的首要驱动力,运输强度是其最大的抑制因素.3)不同情景下水运业碳达峰的时间和峰值存在显著差异,其中兼顾发展与减排的"中增长高减排"情景已于 2019 年实现碳达峰,峰值为10 113.6 万吨,是中国水运业的最优碳达峰情景.

Abstract

To encourage the green and low-carbon development of China's canal transport industry,systematic analysis of the elements that influence carbon emissions and peak time and peak value prediction are extremely important.First,the emission factor method is used to measure the carbon emissions of waterway transport sector from 2001 to 2020.Next,the LMDI decomposition model is constructed to analyze the carbon emission influencing factors.Finally,on the basis of STIRPAT model,the scenario analysis method is applied to set nine scenarios to predict the carbon emission peak of China's waterway transport sector from 2021 to 2035.The results show that from 2001 to 2020,the overall carbon emissions of China's waterway transport sector show an upward trend,that economic activities are the primary driver of carbon emission growth,and transportation intensity is the largest inhibiting factor,that there are significant differences in the timing and peak value of carbon emissions in the waterway transport sector under different scenarios,among which the"medium growth and high emission reduction"scenario,which balances development and emission reduction,has reached the peak value of 101.136 million tons in 2019,which is the optimal carbon peak scenario for China's waterway transport sector.

关键词

碳达峰预测/LMDI/STIRPAT/水运业

Key words

carbon peak prediction/LMDI/STIRPAT/waterway transport sector

引用本文复制引用

基金项目

国家自然科学基金面上项目(71874073)

出版年

2024
物流科技
全国物流科技情报信息中心 中国仓储协会

物流科技

影响因子:0.489
ISSN:1002-3100
参考文献量10
段落导航相关论文