Synergy and heterogeneity of driving factors of carbon emissions in China's energy-intensive industries

被引:19
|
作者
Liu, Jinpeng [1 ,2 ]
Wei, Delin [1 ,2 ]
Wu, Lan [1 ,2 ]
Yang, Hao [1 ,2 ]
Song, Xiaohua [1 ,2 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China
关键词
Energy-intensive industries; Carbon emission; Driving factor indicators; Synergy effect; Heterogeneity effect; EMPIRICAL MODE DECOMPOSITION; CO2; EMISSIONS; URBANIZATION; EFFICIENCY; SECTOR; EMD;
D O I
10.1016/j.ecolind.2022.109161
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Carbon emission is a global problem that countries around the world are paying attention to and urgently need to be resolved. Under the requirements of China's high-quality economic development and the carbon peaking and carbon neutrality goals, energy-intensive industries, as a key link in the industrial chain and the main source of China's CO2 emissions, have attracted much attention. This paper made a statistical analysis of the scale development of six energy-intensive industries, and explored the fluctuation characteristics of their carbon emissions. The empirical mode decomposition (EMD) model was further introduced to analyze the and synergistic effect among the driving factors of carbon emission, revealing the synergistic mechanism of long-term trend and short-term volatility of factors. Then, the elastic sensitivity analysis model of carbon emissions in energy-intensive industries was constructed to study the heterogeneity of driving effects of factor indicators. From the perspective of factors driving, this article reveals the heterogeneity of the driving effects of ten key factor indicators including economic level (GDP), urbanization level (UP), industrial structure (IS), technological innovation (TI), and environmental regulation (ER); from the perspective of industry development, this paper summarized the "stable and balanced" and "sensitive and uneven" trends presented by the heterogeneity of the six energy-intensive industries. Combining the characteristics of industry emission fluctuations, driving factors' synergies and heterogeneity, from the perspective of short-term and long-term development, four targeted emission reduction control strategies were proposed to provide reference for the low-carbon development of energy-intensive industries.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Changes in CO2 emissions from China's energy-intensive industries: a subsystem input-output decomposition analysis
    Yuan, Rong
    Zhao, Tao
    JOURNAL OF CLEANER PRODUCTION, 2016, 117 : 98 - 109
  • [32] Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction
    Lin, Boqiang
    Tan, Ruipeng
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 77 : 386 - 394
  • [33] Decoupling of industrial energy consumption and CO2-emissions in energy-intensive industries in Scandinavia
    Enevoldsen, Martin K.
    Ryelund, Anders V.
    Andersen, Mikael Skou
    ENERGY ECONOMICS, 2007, 29 (04) : 665 - 692
  • [34] Energy management practices in Swedish energy-intensive industries
    Thollander, Patrik
    Ottosson, Mikael
    JOURNAL OF CLEANER PRODUCTION, 2010, 18 (12) : 1125 - 1133
  • [35] Integrating spatial carbon factors into ecological network construction in an energy-intensive megaregion toward multi-objective synergy in northern China
    Lu, Zhonggui
    Geng, Yushuang
    Li, Wei
    Yue, Rongwu
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2024, 106
  • [36] Driving Factors of Carbon Emissions in China's Logistics Industry
    Lin, Shuangjiao
    Wang, Jian
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2022, 31 (01): : 163 - 177
  • [37] Energy efficiency benchmarking of energy-intensive industries in Taiwan
    Chan, David Yih-Liang
    Huang, Chi-Feng
    Lin, Wei-Chun
    Hong, Gui-Bing
    ENERGY CONVERSION AND MANAGEMENT, 2014, 77 : 216 - 220
  • [38] Can industrial agglomeration improve energy efficiency? Empirical evidence based on China's energy-intensive industries
    Hou, Junjun
    Hou, Ya
    Wang, Qian
    Yue, Nuoya
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (53) : 80297 - 80311
  • [39] Emission regulation of conventional energy-intensive industries
    You-hua Chen
    Chan Wang
    Pu-yan Nie
    Environment, Development and Sustainability, 2020, 22 : 3723 - 3737
  • [40] Emission regulation of conventional energy-intensive industries
    Chen, You-hua
    Wang, Chan
    Nie, Pu-yan
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2020, 22 (04) : 3723 - 3737