Factors Influencing Carbon Emissions in High Carbon Industries in the Zhejiang Province and Decoupling Effect Analysis

被引:2
|
作者
Xiao, Yong [1 ]
Yong, Cheng [1 ]
Hu, Wei [1 ]
Wang, Hanyun [2 ]
机构
[1] Shanghai Univ Elect Power, Sch Econ & Management, Shanghai 201306, Peoples R China
[2] Huzhou Power Supply Co, State Grid Zhejiang Elect Power Co Ltd, Huzhou 313099, Peoples R China
关键词
high-carbon industries; LMDI (exponential decomposition) decomposition; Tapio decoupling model; carbon emissions; influencing factors; STRUCTURAL DECOMPOSITION ANALYSIS; INDEX DECOMPOSITION; CO2; EMISSION; ENERGY; CONSUMPTION; EASTERN; WESTERN;
D O I
10.3390/su152215975
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
High-carbon emission industries are the most important source of carbon emissions in the Zhejiang Province. Due to the differences in the development level of various industries, it is necessary to adjust the carbon emission reduction strategies of various industries. As the first ecological province in China, the promotion of carbon emission reduction in high-carbon industries in the Zhejiang Province plays an important leading role in the development of low-carbon economy in other industries and other provinces in China. Taking eight high-carbon industries in Zhejiang Province as the research object, this paper uses the LMDI factor decomposition model to deconstruct the influencing factors and effects of carbon emissions in eight industries in the Zhejiang Province from 2010 to 2021. On this basis, the Tapio decoupling model is applied to study the reasons and driving factors of the decoupling between economic growth and carbon emissions. The results showed that: (1) During the study period, the total carbon emissions of eight industries in the Zhejiang Province increased by 24,312,200 t, showing an overall upward trend. (2) The effect of economic growth and population size led to the rapid growth of carbon emissions in eight industries in the Zhejiang Province, and the effect of energy intensity on carbon emission reduction was the most significant; the effect of industry structure presented a trend of first promoting and then inhibiting, and the effect of carbon emission coefficient always inhibited carbon emissions. (3) The population size has restricted decoupling efforts; energy intensity has the greatest impact on the realization of industry decoupling; energy structure and industry structure decoupling efforts are small; the carbon emission coefficient has always influenced decoupling efforts. This research paper will provide suggestions and policies for the development of low-carbon economy in Zhejiang Province.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] Study on the spatial and temporal differentiation and influencing factors of carbon emissions in Shandong province
    Zhang, Hui
    Sun, Xiumei
    Wang, Wenwen
    NATURAL HAZARDS, 2017, 87 (02) : 973 - 988
  • [32] Gray Correlative Empirical Research on Carbon Emissions and Influencing Factors in Hebei Province
    Tong Xin
    Li Xuesen
    Tong Lin
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 3903 - 3908
  • [33] Spatio-temporal Evolution and Influencing Factors of Carbon Emissions in Shaanxi Province
    Chen, Yi
    Ling, Li
    Gu, Zhen-Wei
    Zhang, Yu
    Liu, Jing
    Zhongguo Huanjing Kexue/China Environmental Science, 2024, 44 (04): : 1826 - 1839
  • [34] Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province
    Xia, Chuyu
    Li, Yan
    Ye, Yanmei
    Shi, Zhou
    Liu, Jingming
    ENERGIES, 2017, 10 (11):
  • [35] Study on the spatial and temporal differentiation and influencing factors of carbon emissions in Shandong province
    Hui Zhang
    Xiumei Sun
    Wenwen Wang
    Natural Hazards, 2017, 87 : 973 - 988
  • [36] Research on Influencing Factors of Residential Building Carbon Emissions and Carbon Peak: A Case of Henan Province in China
    Yang, Xin
    Sima, Yifei
    Lv, Yabo
    Li, Mingwei
    SUSTAINABILITY, 2023, 15 (13)
  • [37] Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China’s Aviation Carbon Emissions
    Ruiling Han
    Lingling Li
    Xiaoyan Zhang
    Zi Lu
    Shaohua Zhu
    Chinese Geographical Science, 2022, 32 : 218 - 236
  • [38] Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China's Aviation Carbon Emissions
    HAN Ruiling
    LI Lingling
    ZHANG Xiaoyan
    LU Zi
    ZHU Shaohua
    Chinese Geographical Science, 2022, 32 (02) : 218 - 236
  • [39] Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China's Aviation Carbon Emissions
    Han Ruiling
    Li Lingling
    Zhang Xiaoyan
    Lu Zi
    Zhu Shaohua
    CHINESE GEOGRAPHICAL SCIENCE, 2022, 32 (02) : 218 - 236
  • [40] Analysis and Research on the Main Influencing Factors of Urban Carbon Emissions in Liaoning Province Based on Big Data
    Jing, Xin
    Yu, Xintong
    PROCEEDINGS OF 2023 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND COMPUTER ENGINEERING, EITCE 2023, 2023, : 1031 - 1035