Exploring the driving forces of energy consumption and environmental pollution in China's cement industry at the provincial level

被引:59
作者
Liu, Jun [1 ]
Zhang, Shaohui [1 ]
Wagner, Fabian [1 ]
机构
[1] Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria
关键词
Chinese cement industry; Spatial and temporal decomposition; Energy consumption; CO2 and air pollution; Provincial scale; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; SHANDONG PROVINCE; LMDI METHOD; EFFICIENCY; PERFORMANCE; REDUCTION; BENEFITS; ANALYZE; OPPORTUNITIES;
D O I
10.1016/j.jclepro.2018.02.277
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Identifying strategies for reducing energy consumption and environmental pollution in China's cement industry requires a comprehensive analysis of the sector on various scales, taking into account, in particular, the heterogeneity of abatement options. We develop a spatial and temporal decomposition analysis to quantitatively examine the driving forces of energy consumption and emissions of carbon dioxide (CO2) and air pollutant emissions in China's cement industry at the national and provincial scales during the period 2005-2012. The results show that, nationally, due to the rapid growth of cement and clinker production, CO2 emissions experienced a substantial increase. While the emissions of Sulphur dioxide (SO2), nitrogen oxides (NOx), and particulate matter (PM) were found to initially decrease (due to stringent air pollution standards), and then rose due to the increase of cement production. At the provincial level, we also observe that the developing regions (e.g. Anhui, Jiangsu, Shandong, and Sichuan) have a large share of total emissions of CO2 and air pollutants, while the megacities of Beijing, Shanghai, and Tianjin contributed less to the total emissions. From spatial decomposition perspective, the energy intensity and emission factor affect CO2 emissions largely but have a negative linear relationship primarily in developing regions. The findings in this study can directly be used to narrow down the projection of GHG mitigation and air pollution abatement on economic and technical perspectives and help policy maker to identify priority options for tackling the issues of global climate change and improve regional air quality. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:274 / 285
页数:12
相关论文
共 71 条
  • [61] Worrell E., 2008, ENERGY EFFICIENCY IM, P76
  • [62] Worrell E, 2004, Energy Efficiency Improvement Opportunities for Cement MakingAn ENERGY STAR Guide for Energy and Plant Managers
  • [63] Worrell E, 2013, Energy efficiency improvement and cost saving opportunities for cement making: an energy star guide for energy plant managers
  • [64] Energy consumption and CO2 emissions in China's cement industry: A perspective from LMDI decomposition analysis
    Xu, Jin-Hua
    Fleiter, Tobias
    Eichhammer, Wolfgang
    Fan, Ying
    [J]. ENERGY POLICY, 2012, 50 : 821 - 832
  • [65] Multilevel index decomposition analysis: Approaches and application
    Xu, X. Y.
    Ang, B. W.
    [J]. ENERGY ECONOMICS, 2014, 44 : 375 - 382
  • [66] Incorporating environmental co-benefits into climate policies: A regional study of the cement industry in China
    Yang Xi
    Teng Fei
    Wang Gehua
    [J]. APPLIED ENERGY, 2013, 112 : 1446 - 1453
  • [67] Modeling energy efficiency to improve air quality and health effects of China's cement industry
    Zhang, Shaohui
    Worrell, Ernst
    Crijns-Graus, Wina
    Krol, Maarten
    de Bruine, Marco
    Geng, Guangpo
    Wagner, Fabian
    Cofala, Janusz
    [J]. APPLIED ENERGY, 2016, 184 : 574 - 593
  • [68] Mapping and modeling multiple benefits of energy efficiency and emission mitigation in China's cement industry at the provincial level
    Zhang, Shaohui
    Worrell, Ernst
    Crijns-Graus, Wina
    [J]. APPLIED ENERGY, 2015, 155 : 35 - 58
  • [69] Evaluating co-benefits of energy efficiency and air pollution abatement in China's cement industry
    Zhang, Shaohui
    Worrell, Ernst
    Crijns-Graus, Wina
    [J]. APPLIED ENERGY, 2015, 147 : 192 - 213
  • [70] Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method
    Zhang, Wei
    Li, Ke
    Zhou, Dequn
    Zhang, Wenrui
    Gao, Hui
    [J]. ENERGY POLICY, 2016, 92 : 369 - 381