Decomposing the. influencing factors of energy consumption in Tunisian transportation sector using the LMDI method

被引:127
|
作者
Achour, Houda [1 ]
Belloumi, Mounir [2 ,3 ]
机构
[1] Univ Sousse, LAMIDED, Higher Inst Transport & Logist Sousse, Sousse, Tunisia
[2] Najran Univ, Coll Adm Sci, Najran, Saudi Arabia
[3] Univ Sousse, LAMIDED, Sousse, Tunisia
关键词
Transport related energy consumption; Decomposition analysis; Logarithmic-mean Divisia index method; Driving factors; Tunisia; ECONOMIC-GROWTH; CARBON EMISSIONS; CHINA; INTENSITIES; FREIGHT; TRENDS;
D O I
10.1016/j.tranpol.2016.07.008
中图分类号
F [经济];
学科分类号
02 ;
摘要
Due to rapid economic development and accelerated urbanization, Tunisia's transport sector has experienced a dramatic growth that leads to excessive demand for fossil fuel energy. This study identifies the driving factors and measures their corresponding contributions in transportation energy consumption for the case of Tunisia by using the logarithmic-mean Divisia index method (LMDI) over the period 1985-2014. The transport related energy consumption is decomposed into energy intensity, transportation structure effect, transportation intensity effect, economic output, and population scale effects according to the driving mechanism. Results indicate that the overall effect of economic output, transportation intensity, population scale, and transportation structure on energy consumption is positive, whereas the overall effect of energy intensity is negative. It was shown that energy intensity played the dominant role in decreasing energy consumption during the study period. Improving the transport intensity exerts significant effect on saving energy. Our empirical findings provide scientific supports for the policy measures based on low, greenhouse gas emissions integrated transport. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:64 / 71
页数:8
相关论文
共 50 条
  • [21] Analysis of Energy Consumption influence factors in Japan based on LMDI Model
    Liu, Hongqin
    XuYan
    Duan, Haiyan
    Wang, Xianen
    FRONTIERS OF GREEN BUILDING, MATERIALS AND CIVIL ENGINEERING, PTS 1-8, 2011, 71-78 : 2416 - 2419
  • [22] Analysis of energy consumption influence factors in Japan based on LMDI model
    Liu, Hongqin
    Yan, Xu
    Duan, Haiyan
    Wang, Xianen
    Applied Mechanics and Materials, 2011, 71-78 : 2416 - 2419
  • [23] The influencing factors of carbon emissions in the railway transportation industry based on extended LMDI decomposition method: evidence from the BRIC countries
    Meng Wang
    Changzheng Zhu
    Ying Cheng
    Wenbo Du
    Sen Dong
    Environmental Science and Pollution Research, 2023, 30 : 15490 - 15504
  • [24] Analysis of energy consumption in Hunan Province (China) using a LMDI method based LEAP model
    Wang, Peng
    Wang, Chunsheng
    Hu, Yukun
    Liu, Zijian
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY, 2017, 142 : 3160 - 3169
  • [25] The influencing factors of carbon emissions in the railway transportation industry based on extended LMDI decomposition method: evidence from the BRIC countries
    Wang, Meng
    Zhu, Changzheng
    Cheng, Ying
    Du, Wenbo
    Dong, Sen
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (06) : 15490 - 15504
  • [26] Factors influencing recruitment in the Solar Energy Sector
    V.S.C, Bala
    Ahuja, Sunaina
    INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION, 2022, 14 : 472 - 486
  • [27] Carbon Emissions Decomposition Influence Factors of Transportation Industry Based on LMDI Method
    Lu, Tao
    Tu, Min
    Liu, Bing
    CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION, 2023, : 100 - 110
  • [28] Analysis and Prediction of China's Energy Consumption Based on LMDI Method
    Mu, Hailin
    Zhang, Ming
    Ning, Yadong
    INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 2, PROCEEDINGS, 2009, : 429 - 433
  • [29] Factors influencing China's non-residential power consumption: Estimation using the Kaya-LMDI methods
    Jiang, Shan
    Zhu, Yongnan
    He, Guohua
    Wang, Qingming
    Lu, Yajing
    ENERGY, 2020, 201
  • [30] Factors Affecting Transportation Sector CO2 Emissions Growth in China: An LMDI Decomposition Analysis
    Liang, Yi
    Niu, Dongxiao
    Wang, Haichao
    Li, Yan
    SUSTAINABILITY, 2017, 9 (10)