Estimating energy conservation potential in China's energy intensive industries with rebound effect

被引:65
作者
Lin, Boqiang [1 ]
Tan, Ruipeng [2 ]
机构
[1] Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, China Inst Studies Energy Policy, Sch Management, Xiamen 361005, Fujian, Peoples R China
[2] Xiamen Univ, Sch Econ, China Ctr Energy Econ Res, Xiamen 361005, Fujian, Peoples R China
关键词
China's energy intensive industry; Cointegration method; Energy rebound effect; Latent variable approach; Energy conservation potential; EMISSION REDUCTION POTENTIALS; PACIFIC INTEGRATED MODEL; LATENT VARIABLE APPROACH; ELECTRICITY DEMAND; TIME-SERIES; EFFICIENCY IMPROVEMENT; EMPIRICAL-EVIDENCE; ECONOMIC-GROWTH; RESIDENTIAL SECTOR; ERROR-CORRECTION;
D O I
10.1016/j.jclepro.2017.04.100
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The energy consumption of China's six most energy-intensive sub-industries is about half of the total national energy consumption, and accounts for more than 70% of industrial energy consumption in recent years. These six industries are capital and energy intensive and have a great impact on the energy consumption of China, so they are directly related to the achievement of the energy conservation goal in the 13th Five Year Plan. This paper investigates the influential factors of energy consumption in the industries by employing the cointegration method, and estimates the possible energy conservation potential considering energy rebound effect. The results show that GDP and the scale of industries are the deterministic factors increasing energy consumption, while R&D intensity decreases it. Energy price has little impact on energy consumption. The average energy rebound effect is calculated using the latent variable approach and the result is 90.75%. Considering energy rebound effect, the energy conservation potential of China's energy intensive industries is 14.18-26.54 million tons of standard coal equivalent in 2020 and 44.64-80.72 million tons of standard coal equivalent in 2030. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:899 / 910
页数:12
相关论文
共 95 条
  • [1] Energy-GDP relationship revisited: An example from GCC countries using panel causality
    Al-Iriani, Mahmoud A.
    [J]. ENERGY POLICY, 2006, 34 (17) : 3342 - 3350
  • [2] Comparison of energy efficiency strategies in the industrial sector of Slovenia
    Al-Mansour, F
    Merse, S
    Tomsic, M
    [J]. ENERGY, 2003, 28 (05) : 421 - 440
  • [3] A REGRESSION-MODEL FOR ELECTRIC-ENERGY-CONSUMPTION FORECASTING IN EASTERN SAUDI-ARABIA
    ALGARNI, AZ
    ZUBAIR, SM
    NIZAMI, JS
    [J]. ENERGY, 1994, 19 (10) : 1043 - 1049
  • [4] The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom
    Allan, Grant
    Hanley, Nick
    McGregor, Peter
    Swales, Kim
    Turner, Karen
    [J]. ENERGY ECONOMICS, 2007, 29 (04) : 779 - 798
  • [5] The potential for electricity conservation and peak load reduction in the residential sector of Brazil
    Almeida, MA
    Schaeffer, R
    La Rovere, EL
    [J]. ENERGY, 2001, 26 (04) : 413 - 429
  • [6] Electricity demand for Sri lanka: A time series analysis
    Amarawickrama, Himanshu A.
    Hunt, Lester C.
    [J]. ENERGY, 2008, 33 (05) : 724 - 739
  • [7] Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting
    An, Ning
    Zhao, Weigang
    Wang, Jianzhou
    Shang, Duo
    Zhao, Erdong
    [J]. ENERGY, 2013, 49 : 279 - 288
  • [8] CO2 emissions, energy usage, and output in Central America
    Apergis, Nicholas
    Payne, James E.
    [J]. ENERGY POLICY, 2009, 37 (08) : 3282 - 3286
  • [9] Energy access scenarios to 2030 for the power sector in sub-Saharan Africa
    Bazilian, Morgan
    Nussbaumer, Patrick
    Rogner, Hans-Holger
    Brew-Hammond, Abeeku
    Foster, Vivien
    Pachauri, Shonali
    Williams, Eric
    Howells, Mark
    Niyongabo, Philippe
    Musaba, Lawrence
    Gallachoir, Brian O.
    Radka, Mark
    Kammen, Daniel M.
    [J]. UTILITIES POLICY, 2012, 20 (01) : 1 - 16
  • [10] Estimating the rebound effect in US manufacturing energy consumption
    Bentzen, J
    [J]. ENERGY ECONOMICS, 2004, 26 (01) : 123 - 134