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
  • [41] Electricity demand forecasting for high energy-intensive industries of inner mongolia in China
    Zhao, Huiru
    Ma, Zhao
    Li, Nana
    International Journal of Smart Home, 2015, 9 (07): : 151 - 160
  • [42] Success factors of energy management in energy-intensive industries: Development priority of energy performance measurement
    Sivill, Leena
    Manninen, Jussi
    Hippinen, Ilkka
    Ahtila, Pekka
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2013, 37 (08) : 936 - 951
  • [43] Driving factors of carbon emissions from household energy combustion in China
    Sun, Xinlu
    Mi, Zhifu
    Zhang, Jin
    Li, Jinkai
    ENERGY POLICY, 2024, 186
  • [44] A short-term based analysis on the critical low carbon technologies for the main energy-intensive industries in China
    Wang, Nannan
    Chen, Xiaoyan
    Wu, Guobin
    Chang, Yen-Chiang
    Yao, Shengnan
    JOURNAL OF CLEANER PRODUCTION, 2018, 171 : 98 - 106
  • [45] Effects of technical and allocative inefficiencies on energy and nonenergy elasticities:an analysis of energy-intensive industries in China
    Donglan Zha
    Anil Savio Kavuri
    Chinese Journal of Population,Resources and Environment, 2016, (04) : 292 - 297
  • [46] Air Pollution and Enterprise Energy Efficiency: Evidence from Energy-Intensive Manufacturing Industries in China
    Xiao, Tingting
    Liu, Zhong
    SUSTAINABILITY, 2023, 15 (07)
  • [47] Sustainable Development of Economic Growth, Energy-Intensive Industries and Energy Consumption: Empirical Evidence from China's Provinces
    Ji, Yanli
    Xue, Jie
    Fu, Zitian
    SUSTAINABILITY, 2022, 14 (12)
  • [48] Characteristics and driving factors of carbon emissions in China
    Sun, Zhao-Yong
    Deng, Min-Xin
    Li, Dongdong
    Sun, Yeran
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2024, 67 (05) : 967 - 992
  • [49] Energy Management in Energy-Intensive Industries: Developing a Conceptual Map
    Goncalves Rabelo da Silva, Vilson Roiz
    Rocha Loures, Eduardo de Freitas
    de Lima, Edson Pinheiro
    Gouvea da Costa, Sergio Eduardo
    BRAZILIAN ARCHIVES OF BIOLOGY AND TECHNOLOGY, 2019, 62 : 1 - 17
  • [50] Effects of technical and allocative inefficiencies on energy and nonenergy elasticities: an analysis of energy-intensive industries in China
    Zha, Donglan
    Kavuri, Anil Savio
    CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT, 2016, 14 (04) : 292 - 297