Environmental Kuznets Curve of Carbon Emissions from China's Forest Products Industry and Decomposition of Factors Influencing Carbon Emissions

被引:0
|
作者
Han, Bing [1 ]
Wu, Jinzhuo [1 ]
机构
[1] Northeast Foeestry Univ, Sch Civil Engn & Transportat, Harbin 150040, Peoples R China
来源
BIORESOURCES | 2024年 / 19卷 / 02期
关键词
Forest products industry; Carbon emissions; Environmental Kuznets curve; LMDI decomposition; HYPOTHESIS;
D O I
10.15376/biores.19.2.3390-3408
中图分类号
TB3 [工程材料学]; TS [轻工业、手工业、生活服务业];
学科分类号
0805 ; 080502 ; 0822 ;
摘要
Carbon emissions from China's forest products industry were considered based on the data of 2001-2020. Then a carbon emissions Kuznets curve was constructed to judge the relationship between the economic development level and carbon emissions. The logarithmic mean Divisia index (LMDI) was used to analyze the influencing factors of carbon emissions. The carbon emissions from China's forest products industry showed a trend of rapid growth in the early stage and slow decline in the later stage, increasing from 19.46 million tonnes in 2001 to 54.18 million tonnes in 2020. Consumption of raw coal was the main reason for the increase in carbon emissions. There was an inverted-U relationship between the economic development level and carbon emissions, and the industry output value of CNY 3306.56 billion was the theoretical inflection point. The current economic development level of the industry was in the left-half part of the inverted "U" shape, indicating that carbon emissions from this industry will continue to increase with the increase of industrial output. Economic development was the key factor driving the increase of carbon emissions in the forest products industry, while the energy intensity was the key factor inhibiting the growth of carbon emissions.
引用
收藏
页码:3390 / 3408
页数:19
相关论文
共 50 条
  • [1] Kuznets Curve of Carbon Emissions in China
    Yang Xu
    Fan DaSha
    Luo Pan
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY AND ENVIRONMENTAL SCIENCE 2015, 2015, 31 : 1163 - 1166
  • [2] Environmental Kuznets Curve of Industrial Carbon Emissions Analysis in the West of China
    Wang, Dan
    Li, Meng
    PROCEEDINGS OF THE 6TH INTERNATIONAL ASIA CONFERENCE ON INDUSTRIAL ENGINEERING AND MANAGEMENT INNOVATION: CORE THEORY AND APPLICATIONS OF INDUSTRIAL ENGINEERING, VOL 1, 2016, : 539 - 546
  • [3] Environmental Kuznets curve hypothesis for sub-elements of the carbon emissions in China
    Aslan Alper
    Gozbasi Onur
    Natural Hazards, 2016, 82 : 1327 - 1340
  • [4] Environmental Kuznets curve hypothesis for sub-elements of the carbon emissions in China
    Alper, Aslan
    Onur, Gozbasi
    NATURAL HAZARDS, 2016, 82 (02) : 1327 - 1340
  • [5] Economic Growth and China's Carbon Dioxide Emissions: Analysis Based on Environmental Kuznets Curve
    Yi, Yanchun
    PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON MANAGEMENT INNOVATION AND PUBLIC POLICY (ICMIPP 2012), VOLS 1-6, 2012, : 1672 - 1676
  • [6] The carbon emissions Environmental Kuznets Curve and the impact factors-empirical study on 103 cities in China
    Tong, Xin
    Tong, Lei
    Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 2012, 20 (SUPPL.): : 119 - 125
  • [7] Environmental Kuznets Curve for carbon emissions in Pakistan: An empirical investigation
    Nasir, Muhammad
    Rehman, Faiz Ur
    ENERGY POLICY, 2011, 39 (03) : 1857 - 1864
  • [8] Research on Measurement of Regional Differences and Decomposition of Influencing Factors of Carbon Emissions of China's Logistics Industry
    Li, Ran
    Sun, Tao
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2021, 30 (04): : 3137 - 3150
  • [9] Influencing factors and predictions of carbon emissions for the chemical industry in China
    Wang, Weiru
    Hu, Fan
    Li, Mengzan
    Shi, Xincong
    Liu, Xinyuan
    Frontiers in Energy Research, 2024, 12
  • [10] Influencing factors and decoupling analysis of carbon emissions in China's manufacturing industry
    Jin, Baoling
    Han, Ying
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (45) : 64719 - 64738