Transportation demand for petroleum products in Indonesia: a time series analysis

被引:5
|
作者
Sa'ad, Suleiman [1 ]
机构
[1] Nigerian Def Acad, Dept Econ, PMB 2109, Kaduna, Nigeria
关键词
D O I
10.1111/j.1753-0237.2009.00165.x
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper used annual time series data for the period 1973 to 2007 in two econometric techniques [the structural time series model (STSM) and unrestricted error correction model (UECM)] developed to estimate petroleum products (gasoline and diesel) and demand functions for the transportation sector of Indonesia and make a forecast of per capita consumption of the total products until the year 2030 under three scenarios. The results from both models revealed that the demand for petroleum products are price inelastic, with an estimated long-run price elasticity of -0.19 in the STSM and -0.16 in the UECM. However, total petroleum is income elastic in the long run with a long-run income elasticity of 0.97 under the STSM and 0.88 in the UECM. The estimated demand functions are used to construct a projection of future transportation demand for petroleum products until 2030 under three alternative scenarios: business as usual, low case scenario and high case scenario. The results of this exercise suggests that by 2030, the demand for total petroleum products per capita for Indonesia will increase to about 0.498 toe in the STSM and 0.476 toe in the UECM under the baseline scenario, 0.197 toe in the STSM and 0.186 toe in the UECM under lowcase scenario and finally, 0.976 toe in the STSM and 0.886 toe under high case scenario.
引用
收藏
页码:140 / 154
页数:15
相关论文
共 50 条
  • [41] SEA TRANSPORTATION ACCIDENT ANALYSIS IN INDONESIA
    Faturachman, Danny
    Mustafa, Shariman
    ASIA PACIFIC BUSINESS INNOVATION AND TECHNOLOGY MANAGEMENT SOCIETY, 2012, 40 : 616 - 621
  • [42] Empirical analysis of transportation demand for oil products in Nigeria: Using error correction approach
    Sa'ad, Suleiman
    Isah, Salamatu Idris
    ENERGY STRATEGY REVIEWS, 2016, 10 : 53 - 61
  • [43] Analysis of Petroleum Products and Their Mixtures by Using Terahertz Time Domain Spectroscopy
    Jin, Yun-Sik
    Kim, Geun-Ju
    Shon, Chae-Hwa
    Jeon, Seok-Gy
    Kim, Jung-Il
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2008, 53 (04) : 1879 - 1885
  • [44] Time Series Comparison of Joint Mode and Destination Choice Models in Changing Transportation Environment Jakarta, Indonesia
    Yagi, Sadayuki
    Nobel, Deo
    Kawaguchi, Hirohisa
    TRANSPORTATION RESEARCH RECORD, 2013, (2394) : 100 - 110
  • [45] Spectral analysis of instantaneous residential water demand time series
    Alcocer-Yamanaka, Victor
    Tzatchkov, Velitchko
    Wu, Zheng Y.
    INTEGRATING WATER SYSTEMS, 2010, : 503 - +
  • [46] Industrial electricity demand for Turkey: A structural time series analysis
    Dilaver, Zafer
    Hunt, Lester C.
    ENERGY ECONOMICS, 2011, 33 (03) : 426 - 436
  • [47] Fractal analysis of the agricultural products prices time series
    Wang, Yi
    Su, Xin
    Zhan, Xueli
    International Journal of u- and e- Service, Science and Technology, 2015, 8 (10) : 395 - 404
  • [48] Modelling the determinants of birth tourism demand: a time series analysis
    Solarin, Sakiru Adebola
    Bello, Mufutau Opeyemi
    Lasisi, Taiwo Temitope
    Bekun, Festus Victor
    CURRENT ISSUES IN TOURISM, 2024,
  • [49] Statistical Load Time Series Analysis for the Demand Side Management
    Grabner, Miha
    Souvent, Andrej
    Blazic, Bostjan
    Kosir, Andrej
    2018 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE), 2018,
  • [50] Predictive Analysis of Parking Demand Based on Time Series Model
    Duan, Peiji
    Bao, Fan
    Wen, Haoyu
    2022 INTERNATIONAL CONFERENCE ON COMPUTING, ROBOTICS AND SYSTEM SCIENCES, ICRSS, 2022, : 78 - 81