Laspeyres Decomposition of Energy Intensity including Household-energy Factors

被引:4
|
作者
Dong Feng [1 ]
Li Xiao-hui [2 ]
Long Ru-yin [1 ]
机构
[1] China Univ Min & Technol, Coll Management, Xuzhou, Peoples R China
[2] Yantai Univ, Coll Foreign Languages, Yantai 246005, Peoples R China
来源
2010 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND DEVELOPMENT (ICEED2010) | 2011年 / 5卷
关键词
household energy factor; energy intensity; factor decomposition; efficiency factor;
D O I
10.1016/j.egypro.2011.03.254
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In the previous study papers the change of the total energy intensity is decomposed to the structure factor and the efficiency factor, not considering the household energy factor, because GDP are not made only by household energy. Household energy is about ten percents in the total energy consumption and the household energy of unit GDP are always being decreased. In this paper the change of the total energy intensity is decomposed to the structure adjustment factor, the efficiency factor and the household energy factor. The result of decomposition shows the efficiency factor contribute most to the reduction of total energy intensity from 1985 to 2007, the household energy factor the next, and structure adjustment factor the last. The result of decomposition also explains the causation of the abnormal ascending of total energy intensity from 2002 to 2005. (C) 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of RIUDS
引用
收藏
页码:1482 / 1487
页数:6
相关论文
共 50 条
  • [31] Understanding energy systems change in Canada: 1. Decomposition of total energy intensity
    Torrie, Ralph D.
    Stone, Christopher
    Layzell, David B.
    ENERGY ECONOMICS, 2016, 56 : 101 - 106
  • [32] HOUSEHOLD ENERGY ASSESSMENT - INTEGRATION OF APPROACHES AND ADDITIONAL FACTORS
    PARIKH, JK
    BIOMASS, 1985, 7 (01): : 73 - 84
  • [33] Household Transportation Energy Affordability by Region and Socioeconomic Factors
    Zhou, Yan
    Aeschliman, Spencer
    Gohlke, David
    TRANSPORTATION RESEARCH RECORD, 2021, 2675 (10) : 81 - 95
  • [34] A Laspeyres Index Decomposition-based Multivariable Grey Prediction Model for Forecasting Energy Consumption: A Case Study of Ghana
    Ofosu-Adarkwa, Jeffrey
    Xie, Naiming
    JOURNAL OF GREY SYSTEM, 2023, 35 (01): : 130 - 155
  • [35] The Impact Factors of Regional Energy Intensity in China
    Li Li
    Feng Zhengning
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [36] An analysis of technological factors and energy intensity in China
    Huang, Junbing
    Du, Dan
    Tao, Qizhi
    ENERGY POLICY, 2017, 109 : 1 - 9
  • [37] The Impact Factors of Energy Intensity in Chinese Industry
    Li Li
    Wang Feng
    ICEET: 2009 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT TECHNOLOGY, VOL 1, PROCEEDINGS, 2009, : 429 - 432
  • [38] ENERGY INTENSITY FACTORS IN ECONOMY OF THE KOMI REPUBLIC
    Chayka, Larisa Viktorovna
    ECONOMIC AND SOCIAL CHANGES-FACTS TRENDS FORECAST, 2011, 15 (03) : 78 - 87
  • [39] Primary Energy Factors and the primary energy intensity of delivered energy: An overview of possible calculation conventions
    Hitchin, Roger
    BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGY, 2019, 40 (02): : 198 - 219
  • [40] Household energy choice and consumption intensity: Empirical evidence from Bhutan
    Bahadur Rahut, Dil
    Behera, Bhagirath
    Ali, Akhter
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 53 : 993 - 1009