交通运输系统工程与信息 ›› 2017, Vol. 17 ›› Issue (1): 32-39.

• 综合交通运输体系论坛 • 上一篇    下一篇

交通运输业CO2排放区域差异及影响因素

卢升荣1,蒋惠园*1,刘瑶2   

  1. 1. 武汉理工大学交通学院,武汉430063;2. 武汉商学院现代物流研究所,武汉430056
  • 收稿日期:2016-07-05 修回日期:2016-09-19 出版日期:2017-02-25 发布日期:2017-02-27
  • 基金资助:

    国家社会科学基金/National Social Science Foundation of China(12BJL082);交通运输部软科学研究/ Soft Science Research Project of China's Ministry of Transport(2015322811270).

Regional Disparities and Influencing Factors of CO2 Emission in Transportation Industry

LU Sheng-rong1, JIANG Hui-yuan1, LIU Yao2   

  1. 1. School of Transportation,Wuhan University of Technology,Wuhan 430063, China; 2. Institute of Modern Logistics,Wuhan Business University,Wuhan 430056, China
  • Received:2016-07-05 Revised:2016-09-19 Online:2017-02-25 Published:2017-02-27

摘要:

交通运输业是CO2排放的重要来源.根据长江经济带九省二市2005—2014 年 面板数据,以Theil 指数为衡量指标,从人均、单位增加值、单位换算周转量碳排放3 个方 面测算交通运输业CO2排放的区域差异;结合扩展的Kaya 恒等式,通过LMDI分解分析 交通运输业CO2排放的影响因素.结果表明:长江经济带各省市交通运输业CO2排放呈现 较明显的不均衡分布,人均碳排放、单位换算周转量碳排放差异大于单位增加值碳排放 差异;能源结构、单位增加值能耗、单位GDP 换算周转量抑制CO2排放(贡献率分别为 1.72%、56.6%、41.68%),单位换算周转量增加值、人均GDP、人口促进CO2排放(贡献率分 别为7.99%、88.99%、3.02%).

关键词: 综合交通运输, 区域差异, Theil指数, 影响因素, LMDI分解, CO2排放

Abstract:

Transportation industry is an important source of CO2 emission. According to panel data of Yangtze River Economic Belt (nine provinces and two cities) from 2005 to 2014, we measure the regional disparities of CO2 emission in transportation industry with Theil index from three aspects, such as CO2 emission per capita, per added value and per conversion turnover. Combining with the extended Kaya Identity, we analyze the influencing factors of CO2 emission in transportation industry by LMDI decomposition. The results show that there is obvious unbalanced distribution of CO2 emission in transportation industry of Yangtze River Economic Belt. The disparities of per capita and per conversion turnover are larger than that of per added value. Energy structure, energy consumption per added value and conversion turnover per GDP inhibit CO2 emission (inhabiting contribution rate: 1.72%, 56.6% and 41.68% respectively). Added value per conversion turnover, GDP per capita and population promote CO2 emission (promoting contribution rate: 7.99%, 88.99% and 3.02% respectively).

Key words: integrated transportation, regional disparities, Theil index, influencing factors, LMDI decomposition, CO2 emission

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