A model for China's energy requirements and CO2 emissions analysis

被引:47
|
作者
Fan, Ying
Liang, Qiao-Mei
Wei, Yi-Ming
Okada, Norio
机构
[1] Chinese Acad Sci, IMP, Beijing 100080, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Beijing 100080, Peoples R China
[3] Kyoto Univ, Kyoto 6110011, Japan
基金
中国国家自然科学基金;
关键词
energy requirement; CO2; emissions; scenario analysis; input-output model;
D O I
10.1016/j.envsoft.2005.12.007
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper introduces a model and corresponding software for modeling China's Energy Requirements and the CO2 Emissions Analysis System (CErCmA). Based on the input-output approach, CErCmA was designed for scenario analysis of energy requirements and CO2 emissions to support policymakers, planners and others strategically plan for energy demands and environmental protection in China. In the system, major drivers of energy consumption are identified as technology, population, economy and urbanization; scenarios are based on the major driving forces that represent various growth paths. The input-output approach is employed to compute energy requirements and CO2 emissions under each scenario. The development of CErCmA is described in a case study: China's energy requirements and CO2 emissions in 2010 and 2020 are computed based on the input-output table of 1997. The results show that China's energy needs and related CO2 emissions will grow exponentially even with many energy efficiency improvements, and that it will be hard for China to maintain its advantage of low per capita emissions in the next 20 years. China's manufacturing and transportation sectors should be the two major sectors to implement energy efficiency improvements. Options for improving this model are also presented in this paper. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:378 / 393
页数:16
相关论文
共 50 条
  • [31] Regression analysis and driving force model building of CO2 emissions in China
    Zhou, Yi
    Zhang, Jinyan
    Hu, Shanying
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [32] Analysis on influence factors of China's CO2 emissions based on Path-STIRPAT model
    Li, Huanan
    Mu, Hailin
    Zhang, Ming
    Li, Nan
    [J]. ENERGY POLICY, 2011, 39 (11) : 6906 - 6911
  • [33] Geographical analysis of CO2 emissions in China's manufacturing industry: A geographically weighted regression model
    Xu, Bin
    Xu, Liang
    Xu, Renjing
    Luo, Liangqing
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 166 : 628 - 640
  • [34] Factors influencing energy requirements and CO2 emissions of households in Thailand: A panel data analysis
    Meangbua, Onicha
    Dhakal, Shobhakar
    Kuwornu, John K. M.
    [J]. ENERGY POLICY, 2019, 129 : 521 - 531
  • [35] China's target for peaking CO2 emissions
    He Jian-Kun
    [J]. ADVANCES IN CLIMATE CHANGE RESEARCH, 2014, 5 (04) : 153 - 154
  • [36] CO2 emissions embodied in China's export
    Huang, Rui
    Lenzen, Manfred
    Malik, Arunima
    [J]. JOURNAL OF INTERNATIONAL TRADE & ECONOMIC DEVELOPMENT, 2019, 28 (08): : 919 - 934
  • [37] China's target for peaking CO2 emissions
    HE Jian-Kun
    [J]. Advances in Climate Change Research, 2014, (04) : 153 - 154
  • [38] Sensitivity analysis of China's energy-related CO2 emissions intensity for 2012 based on input-output Model
    Li, Ling
    Zhang, Junrong
    Tang, Ling
    [J]. 5TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2017, 2017, 122 : 331 - 338
  • [39] The Analysis of CO2 Emissions and Reduction Potential in China's Transport Sector
    Li, Wei
    Li, Hao
    Zhang, Huixia
    Sun, Shuang
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [40] Forecasting China's CO2 Emissions for Energy Consumption Based on Cointegration Approach
    Li, Xiangmei
    Song, Yan
    Yao, Zhishuang
    Xiao, Renbin
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2018, 2018