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
  • [21] Strategies for addressing climate change on the industrial level: affecting factors to CO2 emissions of energy-intensive industries in China
    Wang, Zhaohua
    Wang, Chen
    Yin, Jianhua
    NATURAL HAZARDS, 2015, 75 : S303 - S317
  • [22] Spatial-temporal heterogeneity and driving factors of carbon emissions in China
    Ding, Tao
    Huang, Yufei
    He, Weijun
    Zhuang, Delin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (27) : 35830 - 35843
  • [23] Do political incentive affects China's land transfer in energy-intensive industries?
    Tang, Pengcheng
    Yang, Shuwang
    Fu, Shuke
    ENERGY, 2018, 164 : 550 - 559
  • [24] Acceptance Strategies in the energy-intensive Industries
    不详
    WOCHENBLATT FUR PAPIERFABRIKATION, 2023, 151 (04): : 64 - 64
  • [25] Key Factor energy-intensive Industries
    Kerber, Markus
    STAHL UND EISEN, 2012, 132 (10): : 71 - 71
  • [26] The creative response of energy-intensive industries to the Emissions Trading System in the European Union
    Lucena-Giraldo, Javier
    Rodriguez-Crespo, Ernesto
    Salazar-Elena, Juan Carlos
    JOURNAL OF CLEANER PRODUCTION, 2022, 373
  • [27] CDM potential in the power-generation and energy-intensive industries of China
    Yamaguchi, M
    CLIMATE POLICY, 2005, 5 (02) : 167 - 184
  • [28] Impacts on the embodied carbon emissions in China's building sector and its related energy-intensive industries from energy-saving technologies perspective: A dynamic CGE analysis
    Zhu, Weina
    Huang, Boyu
    Zhao, Jinyu
    Chen, Xiaoyan
    Sun, Chengshuang
    ENERGY AND BUILDINGS, 2023, 287
  • [29] Exploring the Spatiotemporal Coupling of Industry Development and Carbon Emissions of Energy-Intensive Industries (EII) in the Context of Industrial Transfer
    Dong, Bangying
    Zhao, Xing
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2023, 32 (02): : 1091 - 1103
  • [30] Could energy-intensive industries be powered by carbon-free electricity?
    MacKay, David J. C.
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2013, 371 (1986):