Decomposition of carbon intensity in electricity production: Technological innovation and structural adjustment in China's power sector

被引:61
|
作者
Peng, Xu [1 ]
Tao, Xiaoma [1 ]
机构
[1] Tongji Univ, Sch Econ & Management, 1239 Siping Rd, Shanghai 200092, Peoples R China
关键词
Carbon intensity; Electricity production; Three-dimensional decomposition; Technological innovation; DIOXIDE EMISSIONS; CO2; EMISSIONS; LMDI DECOMPOSITION; RENEWABLE ENERGY; ECONOMIC-GROWTH; GENERATION; INDUSTRY; CONSUMPTION; PERFORMANCE; INVESTMENT;
D O I
10.1016/j.jclepro.2017.10.236
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China's power generation accounted for 24% of the world's total output, ranking first in 2015. As a suitable performance indicator, carbon intensity of electricity reflects a variation in the average level of carbon emissions per unit of electricity generated. As the largest carbon emitter among various industries, power sector is in duty bound to reduce carbon emissions and achieve sustainable development. Great progress has been made in China's power sector, which is reflected by the effects of technological innovation and structural adjustment. With logarithm transformation and integral transformation, three-dimensional decomposition model is proposed to quantitatively measure the changed carbon intensity of electricity due to technological innovation and structural adjustment. In the context of three-dimensional model, the variation of carbon intensity can be decomposed into absolute changes and/or relative changes. Furthermore, accumulative decomposition results are obtained by chain linked calculation rules. Finally, the proposed models are implemented in China's power industry to reveal its historical progress during 1980-2014. Some important conclusions are also found based on the decomposition results. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:805 / 818
页数:14
相关论文
共 50 条
  • [1] Structural and technological determinants of carbon intensity reduction of China's electricity generation
    Zhao, Yuhuan
    Cao, Ye
    Shi, Xunpeng
    Zhang, Zhonghua
    Zhang, Wenjie
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (11) : 13469 - 13486
  • [2] An empirical spatiotemporal decomposition analysis of carbon intensity in China's industrial sector
    Wang, Juan
    Hu, Mingming
    Rodrigues, Joao F. D.
    JOURNAL OF CLEANER PRODUCTION, 2018, 195 : 133 - 144
  • [3] Aggregate carbon intensity of China's thermal electricity generation: The inequality analysis and nested spatial decomposition
    Wang, Yaxian
    Yan, Qingyou
    Li, Zuyi
    Balezentis, Tomas
    Zhang, Yong
    Gang, Lu
    Streimikiene, Dalia
    JOURNAL OF CLEANER PRODUCTION, 2020, 247
  • [4] Structural and technological determinants of carbon intensity reduction of China’s electricity generation
    Yuhuan Zhao
    Ye Cao
    Xunpeng Shi
    Zhonghua Zhang
    Wenjie Zhang
    Environmental Science and Pollution Research, 2021, 28 : 13469 - 13486
  • [5] Carbon Emission Intensity of Final Electricity Consumption: Assessment and Decomposition of Regional Power Grids in China from 2005 to 2020
    Zhang, Xiaocun
    Zhu, Qiwen
    Zhang, Xueqi
    SUSTAINABILITY, 2023, 15 (13)
  • [6] Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China
    Jiang, Xue-Ting
    Su, Min
    Li, Rongrong
    SUSTAINABILITY, 2018, 10 (09)
  • [7] Nonlinear analysis of technological innovation and electricity generation on carbon dioxide emissions in China
    Liu, Xuyi
    Zhang, Shun
    Bae, Junghan
    JOURNAL OF CLEANER PRODUCTION, 2022, 343
  • [8] China's carbon intensity factor decomposition and carbon emission decoupling analysis
    Pan, Xiongfeng
    Guo, Shucen
    Xu, Haitao
    Tian, Mengyuan
    Pan, Xianyou
    Chu, Junhui
    ENERGY, 2022, 239
  • [9] Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis
    Liu, Nan
    Ma, Zujun
    Kang, Jidong
    ENERGY POLICY, 2015, 87 : 28 - 38
  • [10] Regional differences and driving factors of carbon emission intensity in China's electricity generation sector
    Sun, Xiaoyan
    Lian, Wenwei
    Wang, Bingyan
    Gao, Tianming
    Duan, Hongmei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (26) : 68998 - 69023